From 8462010aa4a237073c4829e50ec913a1ba086156 Mon Sep 17 00:00:00 2001 From: Simon O'Kane Date: Tue, 18 Feb 2025 21:15:01 +0000 Subject: [PATCH 01/17] Finished changes to base lithium ion model and SEI submodel --- .../lithium_ion/base_lithium_ion_model.py | 26 +-- .../submodels/interface/sei/__init__.py | 5 +- .../submodels/interface/sei/base_sei.py | 202 +++++------------- .../submodels/interface/sei/constant_sei.py | 22 +- .../models/submodels/interface/sei/no_sei.py | 8 +- .../submodels/interface/sei/sei_growth.py | 118 ++++++---- .../submodels/interface/sei/sei_thickness.py | 110 ++++++++++ .../parameters/lithium_ion_parameters.py | 9 +- 8 files changed, 270 insertions(+), 230 deletions(-) create mode 100644 src/pybamm/models/submodels/interface/sei/sei_thickness.py diff --git a/src/pybamm/models/full_battery_models/lithium_ion/base_lithium_ion_model.py b/src/pybamm/models/full_battery_models/lithium_ion/base_lithium_ion_model.py index 2e95c5c41c..f623cdb7a9 100644 --- a/src/pybamm/models/full_battery_models/lithium_ion/base_lithium_ion_model.py +++ b/src/pybamm/models/full_battery_models/lithium_ion/base_lithium_ion_model.py @@ -284,12 +284,6 @@ def set_open_circuit_potential_submodel(self): def set_sei_submodel(self): for domain in ["negative", "positive"]: - if self.options.electrode_types[domain] == "planar": - reaction_loc = "interface" - elif self.options["x-average side reactions"] == "true": - reaction_loc = "x-average" - else: - reaction_loc = "full electrode" phases = self.options.phases[domain] for phase in phases: sei_option = getattr(getattr(self.options, domain), phase)["SEI"] @@ -303,12 +297,16 @@ def set_sei_submodel(self): submodel = pybamm.sei.SEIGrowth( self.param, domain, - reaction_loc, self.options, phase, cracks=False, ) self.submodels[f"{domain} {phase} sei"] = submodel + self.submodels[ + f"{domain} {phase} sei thickness" + ] = pybamm.sei.SEIThickness( + self.param, domain, self.options, phase, cracks=False + ) if len(phases) > 1: self.submodels[f"{domain} total sei"] = pybamm.sei.TotalSEI( self.param, domain, self.options @@ -332,19 +330,23 @@ def set_sei_on_cracks_submodel(self): self.param, domain, self.options, phase, cracks=True ) else: - if self.options["x-average side reactions"] == "true": - reaction_loc = "x-average" - else: - reaction_loc = "full electrode" submodel = pybamm.sei.SEIGrowth( self.param, domain, - reaction_loc, self.options, phase, cracks=True, ) self.submodels[f"{domain} {phase} sei on cracks"] = submodel + self.submodels[ + f"{domain} {phase} sei on cracks thickness" + ] = pybamm.sei.SEIThickness( + self.param, + domain, + self.options, + phase, + cracks=True, + ) if len(phases) > 1: self.submodels[f"{domain} total sei on cracks"] = ( pybamm.sei.TotalSEI( diff --git a/src/pybamm/models/submodels/interface/sei/__init__.py b/src/pybamm/models/submodels/interface/sei/__init__.py index e7cd3d4bb1..b4695910b7 100644 --- a/src/pybamm/models/submodels/interface/sei/__init__.py +++ b/src/pybamm/models/submodels/interface/sei/__init__.py @@ -1,7 +1,10 @@ from .base_sei import BaseModel from .total_sei import TotalSEI +from .sei_thickness import SEIThickness from .no_sei import NoSEI from .constant_sei import ConstantSEI from .sei_growth import SEIGrowth -__all__ = ['base_sei', 'constant_sei', 'no_sei', 'sei_growth', 'total_sei'] +__all__ = [ + 'base_sei', 'constant_sei', 'no_sei', 'sei_growth', 'sei_thickness', 'total_sei' +] diff --git a/src/pybamm/models/submodels/interface/sei/base_sei.py b/src/pybamm/models/submodels/interface/sei/base_sei.py index e9e6be36fb..a1f74a01da 100644 --- a/src/pybamm/models/submodels/interface/sei/base_sei.py +++ b/src/pybamm/models/submodels/interface/sei/base_sei.py @@ -55,179 +55,89 @@ def get_coupled_variables(self, variables): return variables - def _get_standard_thickness_variables(self, L): + def _get_standard_concentration_variables(self, c_sei): """ A private function to obtain the standard variables which - can be derived from the local SEI thickness. + can be derived from the local SEI concentration. Parameters ---------- - L : :class:`pybamm.Symbol` - The SEI thickness. + c : :class:`pybamm.Symbol` + The SEI concentration. Returns ------- variables : dict - The variables which can be derived from the SEI thicknesses. + The variables which can be derived from the SEI concentration. """ domain, Domain = self.domain_Domain - variables = {f"{Domain} {self.reaction_name}thickness [m]": L} - - if self.reaction_loc != "interface": - L_av = pybamm.x_average(L) - variables.update( - { - f"X-averaged {domain} {self.reaction_name}thickness [m]": L_av, - } - ) - # Get variables related to the total thickness - variables.update(self._get_standard_total_thickness_variables(L)) - - return variables - - def _get_standard_total_thickness_variables(self, L_sei): - """Update variables related to total SEI thickness.""" - domain, Domain = self.domain_Domain - - if isinstance(self, pybamm.sei.NoSEI): - R_sei = 1 - else: - R_sei = self.phase_param.R_sei - - variables = { - f"{Domain} {self.reaction_name}[m]": L_sei, - f"{Domain} total {self.reaction_name}thickness [m]": L_sei, - } - if self.reaction_loc != "interface": - L_sei_av = pybamm.x_average(L_sei) - variables.update( - { - f"X-averaged {domain} {self.reaction_name}thickness [m]": L_sei_av, - f"X-averaged {domain} total {self.reaction_name}" - "thickness [m]": L_sei_av, - } - ) - if self.reaction == "SEI": - variables.update( - { - f"X-averaged {domain} electrode resistance [Ohm.m2]": L_sei_av - * R_sei, - } - ) - return variables - - def _get_standard_concentration_variables(self, variables): - """Update variables related to the SEI concentration.""" - domain, Domain = self.domain_Domain phase_param = self.phase_param phase_name = phase_param.phase_name reaction_name = self.reaction_name + if self.reaction.loc == "interface": + # c_sei is an interfacial quantity [mol.m-2] + c_sei_av = pybamm.yz_average(c_sei) + variables = { + f"{Domain} {reaction_name}concentration [mol.m-2]": c_sei, + f"Volume-averaged {domain} {reaction_name}concentration " + "[mol.m-2]": c_sei_av, + } + else: + # c_sei is a bulk quantity [mol.m-3] + if self.size_distribution: + c_sei_sav = pybamm.size_average(c_sei) + c_sei_xav = pybamm.x_average(c_sei_sav) + else: + c_sei_xav = pybamm.x_average(c_sei) + c_sei_av = pybamm.yz_average(c_sei_xav) + variables = { + f"{Domain} {self.reaction_name}concentration [mol.m-3]": c_sei, + f"X-averaged {domain} {reaction_name}concentration " + "[mol.m-3]": c_sei_xav, + f"Volume-averaged {domain} {reaction_name}concentration " + "[mol.m-3]": c_sei_av, + } + # Set scales to one for the "no SEI" model so that they are not required # by parameter values in general if isinstance(self, pybamm.sei.NoSEI): - L_to_n = 0 - n_SEI_0 = 0 - n_crack_0 = 0 + c_sei_0 = 0 + c_sei_crack_0 = 0 z_sei = 1 else: + z_sei = phase_param.z_sei if self.reaction_loc == "interface": - # m * (mol/m3) = mol/m2 (n is an interfacial quantity) - L_to_n = 1 / phase_param.V_bar_sei - L_to_n_0 = L_to_n + c_sei_0 = phase_param.c_sei_planar_0 # mol.m-2 else: - # m * (mol/m4) = mol/m3 (n is a bulk quantity) - a = variables[ - f"{Domain} electrode {self.phase_name}" - "surface area to volume ratio [m-1]" - ] - L_to_n = a / phase_param.V_bar_sei - L_to_n_0 = phase_param.a_typ / phase_param.V_bar_sei - z_sei = phase_param.z_sei - L_0 = phase_param.L_sei_0 - L_crack_0 = phase_param.L_sei_crack_0 - n_SEI_0 = L_0 * L_to_n_0 - n_crack_0 = L_crack_0 * L_to_n_0 - + c_sei_0 = phase_param.c_sei_0 # mol.m-3 + c_sei_crack_0 = phase_param.c_sei_crack_0 + if self.reaction == "SEI": - L = variables[f"{Domain} {reaction_name}thickness [m]"] - - n_SEI = L * L_to_n - if self.size_distribution: - n_SEI_sav = pybamm.size_average(n_SEI) - n_SEI_xav = pybamm.x_average(n_SEI_sav) - else: - n_SEI_xav = pybamm.x_average(n_SEI) - n_SEI_av = pybamm.yz_average(n_SEI_xav) - - # Calculate change in SEI concentration with respect to initial state - delta_n_SEI = n_SEI_av - n_SEI_0 - - # Q_sei in mol - if self.reaction_loc == "interface": - L_k = 1 - elif domain == "negative": - L_k = self.param.n.L - elif domain == "positive": - L_k = self.param.p.L - - # Multiply delta_n_SEI by V_k to get total moles of SEI formed - # multiply by z_sei to get total lithium moles consumed by SEI - V_k = L_k * self.param.L_y * self.param.L_z - Q_sei = z_sei * delta_n_SEI * V_k - - variables.update( - { - f"{Domain} {reaction_name}concentration [mol.m-3]": n_SEI, - f"X-averaged {domain} {reaction_name}" - "concentration [mol.m-3]": n_SEI_xav, - f"Loss of lithium to {domain} {reaction_name}[mol]": Q_sei, - f"Loss of capacity to {domain} {reaction_name}[A.h]": Q_sei - * self.param.F - / 3600, - } - ) - # Concentration variables are handled slightly differently for SEI on cracks + delta_c_sei = c_sei_av - c_sei_0 elif self.reaction == "SEI on cracks": - L_cr = variables[f"{Domain} {reaction_name}thickness [m]"] - roughness = variables[f"{Domain} {phase_name}electrode roughness ratio"] - - n_SEI_cr = L_cr * L_to_n * (roughness - 1) # SEI on cracks concentration - if self.size_distribution: - n_SEI_cr_sav = pybamm.size_average(n_SEI_cr) - n_SEI_cr_xav = pybamm.x_average(n_SEI_cr_sav) - n_SEI_cr_av = pybamm.yz_average(n_SEI_cr_xav) - else: - n_SEI_cr_xav = pybamm.x_average(n_SEI_cr) - n_SEI_cr_av = pybamm.yz_average(n_SEI_cr_xav) - - # Calculate change in SEI cracks concentration - # Initial state depends on roughness (to avoid division by zero) - roughness_av = pybamm.yz_average(pybamm.x_average(roughness)) - # choose an initial condition that is as close to zero to get the - # physics right, but doesn't cause a division by zero error - n_SEI_cr_init = n_crack_0 * (roughness_av - 1) - delta_n_SEI_cr = n_SEI_cr_av - n_SEI_cr_init + delta_c_sei = c_sei_av - c_sei_crack_0 - if domain == "negative": - L_k = self.param.n.L - elif domain == "positive": - L_k = self.param.p.L + if self.reaction_loc == "interface": + L_k = 1 + elif domain == "negative": + L_k = self.param.n.L + elif domain == "positive": + L_k = self.param.p.L - # Q_sei_cr in mol - Q_sei_cr = z_sei * delta_n_SEI_cr * L_k * self.param.L_y * self.param.L_z + # Multiply delta_n_SEI by V_k to get total moles of SEI formed + # Multiply by z_sei to get total lithium moles consumed by SEI + V_k = L_k * self.param.L_y * self.param.L_z + Q_sei = delta_c_sei * V_k * z_sei - variables.update( - { - f"{Domain} {reaction_name}concentration [mol.m-3]": n_SEI_cr, - f"X-averaged {domain} {reaction_name}" - "concentration [mol.m-3]": n_SEI_cr_xav, - f"Loss of lithium to {domain} {reaction_name}[mol]": Q_sei_cr, - f"Loss of capacity to {domain} {reaction_name}[A.h]": Q_sei_cr - * self.param.F - / 3600, - } - ) + variables.update( + { + f"Loss of lithium to {domain} {self.reaction_name}[mol]": Q_sei, + f"Loss of capacity to {domain} {self.reaction_name}[A.h]": Q_sei + * self.param.F + / 3600, + } + ) return variables diff --git a/src/pybamm/models/submodels/interface/sei/constant_sei.py b/src/pybamm/models/submodels/interface/sei/constant_sei.py index eb338f0a62..910d950bd6 100644 --- a/src/pybamm/models/submodels/interface/sei/constant_sei.py +++ b/src/pybamm/models/submodels/interface/sei/constant_sei.py @@ -7,7 +7,7 @@ class ConstantSEI(BaseModel): """ - Class for SEI with constant thickness. + Class for SEI with constant concentration. Note that there is no SEI current, so we don't need to update the "sum of interfacial current densities" variables from @@ -32,9 +32,14 @@ def __init__(self, param, domain, options, phase="primary"): def get_fundamental_variables(self): domain = self.domain.lower() - # Constant thicknesses - L_sei = self.phase_param.L_sei_0 - variables = self._get_standard_thickness_variables(L_sei) + # Constant concentration + if self.reaction_loc == "interface": + # c_sei is an interfacial quantity [mol.m-2] + c_sei = self.phase_param.c_sei_planar_0 + else: + # c_sei is a bulk quantity [mol.m-3] + c_sei = self.phase_param.c_sei_0 + variables = self._get_standard_concentration_variables(c_sei) # Reactions if self.reaction_loc == "interface": @@ -46,12 +51,3 @@ def get_fundamental_variables(self): variables.update(self._get_standard_reaction_variables(zero)) return variables - - def get_coupled_variables(self, variables): - # Concentrations (derived from thicknesses) - variables.update(self._get_standard_concentration_variables(variables)) - - # Add other standard coupled variables - variables.update(super().get_coupled_variables(variables)) - - return variables diff --git a/src/pybamm/models/submodels/interface/sei/no_sei.py b/src/pybamm/models/submodels/interface/sei/no_sei.py index 10192a485f..2289d9eaf6 100644 --- a/src/pybamm/models/submodels/interface/sei/no_sei.py +++ b/src/pybamm/models/submodels/interface/sei/no_sei.py @@ -42,7 +42,7 @@ def get_fundamental_variables(self): zero = pybamm.FullBroadcast( pybamm.Scalar(0), f"{domain} electrode", "current collector" ) - variables = self._get_standard_thickness_variables(zero) + variables = self._get_standard_concentration_variables(zero) if self.size_distribution: variables.update(self._get_standard_reaction_distribution_variables(zero)) @@ -53,9 +53,3 @@ def get_fundamental_variables(self): variables.update(self._get_standard_reaction_variables(zero)) variables.update(self._get_standard_interfacial_current_variables(zero)) return variables - - def get_coupled_variables(self, variables): - variables.update(self._get_standard_concentration_variables(variables)) - # Update whole cell variables, which also updates the "sum of" variables - variables.update(super().get_coupled_variables(variables)) - return variables diff --git a/src/pybamm/models/submodels/interface/sei/sei_growth.py b/src/pybamm/models/submodels/interface/sei/sei_growth.py index b4b6e3a0b7..df1445cdd7 100644 --- a/src/pybamm/models/submodels/interface/sei/sei_growth.py +++ b/src/pybamm/models/submodels/interface/sei/sei_growth.py @@ -30,11 +30,14 @@ class SEIGrowth(BaseModel): Whether this is a submodel for standard SEI or SEI on cracks """ - def __init__( - self, param, domain, reaction_loc, options, phase="primary", cracks=False - ): + def __init__(self, param, domain, options, phase="primary", cracks=False): super().__init__(param, domain, options=options, phase=phase, cracks=cracks) - self.reaction_loc = reaction_loc + if self.options.electrode_types[domain] == "planar": + self.reaction_loc = "interface" + elif self.options["x-average side reactions"] == "true": + self.reaction_loc = "x-average" + else: + self.reaction_loc = "full electrode" SEI_option = getattr(self.options, domain)["SEI"] if SEI_option == "ec reaction limited": pybamm.citations.register("Yang2017") @@ -47,31 +50,34 @@ def __init__( def get_fundamental_variables(self): domain, Domain = self.domain_Domain - scale = self.phase_param.L_sei_0 + scale = self.phase_param.c_sei_0 if self.reaction_loc == "x-average": - L_sei_av = pybamm.Variable( - f"X-averaged {domain} {self.reaction_name}thickness [m]", + # c_sei_xav and c_sei are bulk quantities [mol.m-3] + c_sei_xav = pybamm.Variable( + f"X-averaged {domain} {self.reaction_name}concentration [mol.m-3]", domain="current collector", scale=scale, ) - L_sei_av.print_name = "L_sei_av" - L_sei = pybamm.PrimaryBroadcast(L_sei_av, f"{domain} electrode") + c_sei_xav.print_name = "c_sei_xav" + c_sei = pybamm.PrimaryBroadcast(c_sei_xav, f"{domain} electrode") elif self.reaction_loc == "full electrode": - L_sei = pybamm.Variable( - f"{Domain} {self.reaction_name}thickness [m]", + # c_sei is a bulk quantity [mol.m-3] + c_sei = pybamm.Variable( + f"{Domain} {self.reaction_name}concentration [mol.m-3]", domain=f"{domain} electrode", auxiliary_domains={"secondary": "current collector"}, scale=scale, ) elif self.reaction_loc == "interface": - L_sei = pybamm.Variable( - f"{Domain} {self.reaction_name}thickness [m]", + # c_sei is an interfacial quantity [mol.m-2] + c_sei = pybamm.Variable( + f"{Domain} {self.reaction_name}concentration [mol.m-2]", domain="current collector", scale=scale, ) - L_sei.print_name = "L_sei" + c_sei.print_name = "c_sei" - variables = self._get_standard_thickness_variables(L_sei) + variables = self._get_standard_concentration_variables(c_sei) return variables @@ -131,7 +137,8 @@ def get_coupled_variables(self, variables): elif SEI_option == "tunnelling limited": # # This comes from eq.25 in Tang, M., Lu, S. and Newman, J., 2012. - # Experimental and theoretical investigation of solid-electrolyte-interphase formation mechanisms on glassy carbon. + # Experimental and theoretical investigation of solid-electrolyte-interphase + # formation mechanisms on glassy carbon. # Journal of The Electrochemical Society, 159(11), p.A1775. j_sei = ( -phase_param.j0_sei @@ -208,7 +215,6 @@ def get_coupled_variables(self, variables): j_sei = arrhenius * j_sei - variables.update(self._get_standard_concentration_variables(variables)) variables.update(self._get_standard_reaction_variables(j_sei)) # Add other standard coupled variables @@ -217,56 +223,74 @@ def get_coupled_variables(self, variables): return variables def set_rhs(self, variables): - phase_param = self.phase_param domain, Domain = self.domain_Domain - if self.reaction_loc == "x-average": - L_sei = variables[f"X-averaged {domain} {self.reaction_name}thickness [m]"] + if self.reaction_loc == "interface": + # c_sei is an interfacial quantity [mol.m-2] + c_sei = variables[f"{Domain} {self.reaction_name}concentration [mol.m-2]"] + j_sei = variables[ + f"{Domain} electrode {self.reaction_name}" + "interfacial current density [A.m-2]" + ] + a = 1 + elif self.reaction_loc == "x-average": + # c_sei is a bulk quanitity [mol.m-3] + c_sei = variables[ + f"X-averaged {domain} {self.reaction_name}concentration [mol.m-3]" + ] j_sei = variables[ f"X-averaged {domain} electrode {self.reaction_name}" "interfacial current density [A.m-2]" ] - + a = variables[ + f"X-averaged {domain} electrode {self.phase_name}" + "surface area to volume ratio [m-1]" + ] else: - L_sei = variables[f"{Domain} {self.reaction_name}thickness [m]"] + c_sei = variables[f"{Domain} {self.reaction_name}concentration [mol.m-3]"] j_sei = variables[ f"{Domain} electrode {self.reaction_name}" "interfacial current density [A.m-2]" ] + a = variables[ + f"{Domain} electrode {self.phase_name}" + "surface area to volume ratio [m-1]" + ] - # The spreading term acts to spread out SEI along the cracks as they grow. - # For SEI on initial surface (as opposed to cracks), it is zero. if self.reaction == "SEI on cracks": if self.reaction_loc == "x-average": - l_cr = variables[f"X-averaged {domain} particle crack length [m]"] - dl_cr = variables[f"X-averaged {domain} particle cracking rate [m.s-1]"] + roughness = variables[f"X-averaged {domain} electrode roughness ratio"] else: - l_cr = variables[f"{Domain} particle crack length [m]"] - dl_cr = variables[f"{Domain} particle cracking rate [m.s-1]"] - spreading = dl_cr / l_cr * (self.phase_param.L_sei_crack_0 - L_sei) - else: - spreading = 0 + roughness = variables[f"{Domain} electrode roughness ratio"] + a *= roughness - 1 # Replace surface area with crack area - # a * j_sei / F is the rate of consumption of li moles by SEI reaction - # 1/z_sei converts from li moles to SEI moles (z_sei=li mol per sei mol) - # a * j_sei / (F * z_sei) is the rate of consumption of SEI moles by SEI - # reaction - # V_bar / a converts from SEI moles to SEI thickness - # V_bar * j_sei / (F * z_sei) is the rate of SEI thickness change - dLdt_SEI = phase_param.V_bar_sei * j_sei / (self.param.F * phase_param.z_sei) - - # we have to add the spreading rate to account for cracking - self.rhs = {L_sei: -dLdt_SEI + spreading} + # a * j_sei / F is the rate of consumption of Li moles by SEI reaction + # 1/z_sei converts from Li moles to SEI moles (z_sei=Li mol per sei mol) + # a * j_sei / (F * z_sei) = rate of consumption of SEI moles by SEI reaction + dcdt_sei = a * j_sei / (self.param.F * self.phase_param.z_sei) + # Therefore, -a * j_sei / (F * z_sei) = rate of creation of SEI moles + self.rhs = {c_sei: -dcdt_sei} def set_initial_conditions(self, variables): domain, Domain = self.domain_Domain - if self.reaction_loc == "x-average": - L_sei = variables[f"X-averaged {domain} {self.reaction_name}thickness [m]"] + if self.reaction_loc == "interface": + # c_sei is an interfacial quantity [mol.m-2] + c_sei = variables[f"{Domain} {self.reaction_name}concentration [mol.m-2]"] + c_sei_0 = self.phase_param.c_sei_planar_0 + elif self.reaction_loc == "x-average": + # c_sei is a bulk quantity [mol.m-3] + c_sei = variables[ + f"X-averaged {domain} {self.reaction_name}concentration [mol.m-3]" + ] + c_sei_0 = self.phase_param.c_sei_0 + c_sei_crack_0 = self.phase_param.c_sei_crack_0 else: - L_sei = variables[f"{Domain} {self.reaction_name}thickness [m]"] + # c_sei is a bulk quantity [mol.m-3] + c_sei = variables[f"{Domain} {self.reaction_name}concentration [mol.m-3]"] + c_sei_0 = self.phase_param.c_sei_0 + c_sei_crack_0 = self.phase_param.c_sei_crack_0 if self.reaction == "SEI on cracks": - L_sei_0 = self.phase_param.L_sei_crack_0 + self.initial_conditions = {c_sei: c_sei_crack_0} else: - L_sei_0 = self.phase_param.L_sei_0 - self.initial_conditions = {L_sei: L_sei_0} + self.initial_conditions = {c_sei: c_sei_0} diff --git a/src/pybamm/models/submodels/interface/sei/sei_thickness.py b/src/pybamm/models/submodels/interface/sei/sei_thickness.py new file mode 100644 index 0000000000..fd60ecae05 --- /dev/null +++ b/src/pybamm/models/submodels/interface/sei/sei_thickness.py @@ -0,0 +1,110 @@ +# +# Class for converting SEI concentration into thickness +# +import pybamm +from .base_sei import BaseModel + + +class SEIThickness(BaseModel): + """ + Class for converting SEI concentration into thickness + + Parameters + ---------- + param : parameter class + The parameters to use for this submodel + reaction_loc : str + Where the reaction happens: "x-average" (SPM, SPMe, etc), + "full electrode" (full DFN), or "interface" (half-cell model) + options : dict + A dictionary of options to be passed to the model. + phase : str, optional + Phase of the particle (default is "primary") + cracks : bool, optional + Whether this is a submodel for standard SEI or SEI on cracks + """ + + def __init__(self, param, domain, options, phase="primary", cracks=False): + super().__init__(param, domain, options=options, phase=phase, cracks=cracks) + if self.options.electrode_types[domain] == "planar": + self.reaction_loc = "interface" + elif self.options["x-average side reactions"] == "true": + self.reaction_loc = "x-average" + else: + self.reaction_loc = "full electrode" + + def get_coupled_variables(self, variables): + """Update variables related to the SEI thickness.""" + domain, Domain = self.domain_Domain + phase_param = self.phase_param + reaction_name = self.reaction_name + SEI_option = getattr(self.options, domain)["SEI"] + crack_option = getattr(self.options, domain)["SEI on cracks"] + if self.options["working electrode"] != "both" and domain == "negative": + crack_option = "false" # required if SEI on cracks is used for half-cells + + # Set scales to one for the "no SEI" model so that they are not required + # by parameter values in general + if SEI_option == "none": + c_to_L = 1 + R_sei = 1 + else: + if self.reaction_loc == "interface": + c_to_L = phase_param.V_bar_sei + else: + a = variables[ + f"{Domain} electrode {self.phase_name}" + "surface area to volume ratio [m-1]" + ] + c_to_L = phase_param.V_bar_sei / a + R_sei = phase_param.R_sei + + if self.reaction_loc == "interface": + # c_sei is an interfacial quantity [mol.m-2] + c_sei = variables[f"{Domain} {reaction_name}concentration [mol.m-2]"] + else: + # c_sei is a bulk quantity [mol.m-3] + c_sei = variables[f"{Domain} {reaction_name}concentration [mol.m-3]"] + + if self.reaction == "SEI": + L_sei = c_sei * c_to_L # SEI thickness + if self.size_distribution: + L_sei_sav = pybamm.size_average(L_sei) # size-averaged SEI thickness + L_sei_xav = pybamm.x_average(L_sei_sav) # x-averaged SEI thickness + else: + L_sei_xav = pybamm.x_average(L_sei) # x-averaged SEI thickness + L_sei_av = pybamm.yz_average(L_sei_xav) # volume-averaged SEI thickness + + variables.update( + { + f"X-averaged {self.domain} electrode resistance " + "[Ohm.m2]": L_sei_xav * R_sei, + } + ) + # Thickness variables are handled slightly differently for SEI on cracks + elif self.reaction == "SEI on cracks": + # if SEI on cracks is false, skip over roughness to avoid division by zero + if crack_option == "false": + L_sei = c_sei * c_to_L + else: + roughness = variables[f"{Domain} electrode roughness ratio"] + L_sei = c_sei * c_to_L / (roughness - 1) # SEI on cracks thickness + if self.size_distribution: + L_sei_sav = pybamm.size_average(L_sei) + L_sei_xav = pybamm.x_average(L_sei_sav) + else: + L_sei_xav = pybamm.x_average(L_sei) # x-average SEI on cracks thickness + L_sei_av = pybamm.yz_average(L_sei_xav) # average SEI on cracks thickness + + variables.update( + { + f"{Domain} {reaction_name}thickness [m]": L_sei, + f"{Domain} {reaction_name}[m]": L_sei, + f"{Domain} total {reaction_name}thickness [m]": L_sei, + f"X-averaged {domain} {reaction_name}thickness [m]": L_sei_xav, + f"X-averaged {domain} total {reaction_name}thickness [m]": L_sei_xav, + f"Volume-averaged {domain} {reaction_name}thickness [m]": L_sei_av, + } + ) + + return variables diff --git a/src/pybamm/parameters/lithium_ion_parameters.py b/src/pybamm/parameters/lithium_ion_parameters.py index 6485047bfc..8d1daa7e40 100644 --- a/src/pybamm/parameters/lithium_ion_parameters.py +++ b/src/pybamm/parameters/lithium_ion_parameters.py @@ -356,9 +356,10 @@ def _set_parameters(self): self.kappa_Li_ion = pybamm.Parameter( f"{pref}SEI lithium ion conductivity [S.m-1]" ) - self.L_sei_0 = pybamm.Parameter(f"{pref}Initial SEI thickness [m]") - self.L_sei_crack_0 = pybamm.Parameter( - f"{pref}Initial SEI on cracks thickness [m]" + self.c_sei_0 = pybamm.Parameter(f"{pref}Initial SEI concentration [mol.m-3]") + self.c_sei_planar_0 = pybamm.Parameter("Initial SEI concentration [mol.m-2]") + self.c_sei_crack_0 = pybamm.Parameter( + f"{pref}Initial SEI on cracks concentration [mol.m-3]" ) self.L_tunneling = pybamm.Parameter( f"{pref}Tunneling distance for electrons [m]" @@ -614,7 +615,7 @@ def j0_plating(self, c_e, c_Li, T): def dead_lithium_decay_rate(self, L_sei): """Dimensional dead lithium decay rate [s-1]""" Domain = self.domain.capitalize() - inputs = {f"{Domain} total {self.phase_name}SEI thickness [m]": L_sei} + inputs = {f"{Domain} {self.phase_name}SEI thickness [m]": L_sei} return pybamm.FunctionParameter( f"{self.phase_prefactor}Dead lithium decay rate [s-1]", inputs ) From a57f51649b26db4c73dcbb4599206dba68f361c9 Mon Sep 17 00:00:00 2001 From: Simon O'Kane Date: Fri, 21 Feb 2025 16:28:22 +0000 Subject: [PATCH 02/17] Removed total SEI as it is now the same as SEI --- .../notebooks/models/loss_of_active_materials.ipynb | 12 ++++++------ examples/scripts/calendar_ageing.py | 4 ++-- examples/scripts/cycling_ageing.py | 4 ++-- src/pybamm/input/parameters/lithium_ion/Ecker2015.py | 2 +- .../lithium_ion/Ecker2015_graphite_halfcell.py | 2 +- src/pybamm/input/parameters/lithium_ion/OKane2022.py | 2 +- .../lithium_ion/OKane2022_graphite_SiOx_halfcell.py | 2 +- .../inverse_kinetics/inverse_butler_volmer.py | 4 ++-- .../models/submodels/interface/sei/sei_thickness.py | 3 --- 9 files changed, 16 insertions(+), 19 deletions(-) diff --git a/docs/source/examples/notebooks/models/loss_of_active_materials.ipynb b/docs/source/examples/notebooks/models/loss_of_active_materials.ipynb index 249ae509a6..e3e3c1d316 100644 --- a/docs/source/examples/notebooks/models/loss_of_active_materials.ipynb +++ b/docs/source/examples/notebooks/models/loss_of_active_materials.ipynb @@ -219,7 +219,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -280,8 +280,8 @@ " \"Current [A]\",\n", " \"Sum of x-averaged negative electrode volumetric interfacial current densities [A.m-3]\",\n", " \"X-averaged negative electrode active material volume fraction\",\n", - " \"Negative total SEI thickness [m]\",\n", - " \"X-averaged negative total SEI thickness [m]\",\n", + " \"Negative SEI thickness [m]\",\n", + " \"X-averaged negative SEI thickness [m]\",\n", " ]\n", ")" ] @@ -564,7 +564,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -655,8 +655,8 @@ " \"Sum of x-averaged negative electrode volumetric interfacial current densities [A.m-3]\",\n", " \"X-averaged negative electrode primary active material volume fraction\",\n", " \"X-averaged negative electrode secondary active material volume fraction\",\n", - " \"Negative total primary SEI thickness [m]\",\n", - " \"Negative total secondary SEI thickness [m]\",\n", + " \"Negative primary SEI thickness [m]\",\n", + " \"Negative secondary SEI thickness [m]\",\n", " ]\n", ")" ] diff --git a/examples/scripts/calendar_ageing.py b/examples/scripts/calendar_ageing.py index 53778a07fb..90a7dc490a 100644 --- a/examples/scripts/calendar_ageing.py +++ b/examples/scripts/calendar_ageing.py @@ -45,8 +45,8 @@ "Negative particle surface concentration", "X-averaged negative particle surface concentration", "Electrolyte concentration [mol.m-3]", - "Negative total SEI thickness [m]", - "X-averaged negative total SEI thickness [m]", + "Negative SEI thickness [m]", + "X-averaged negative SEI thickness [m]", "X-averaged negative SEI concentration [mol.m-3]", "Sum of x-averaged negative electrode volumetric " "interfacial current densities [A.m-3]", diff --git a/examples/scripts/cycling_ageing.py b/examples/scripts/cycling_ageing.py index 66f23cd900..dfcc081d83 100644 --- a/examples/scripts/cycling_ageing.py +++ b/examples/scripts/cycling_ageing.py @@ -66,11 +66,11 @@ "Discharge capacity [A.h]", "Electrolyte potential [V]", "Electrolyte concentration [mol.m-3]", - "Negative total SEI thickness [m]", + "Negative SEI thickness [m]", "Negative electrode porosity", "X-averaged negative electrode porosity", "X-averaged negative electrode SEI interfacial current density [A.m-2]", - "X-averaged negative total SEI thickness [m]", + "X-averaged negative SEI thickness [m]", [ "Total lithium lost [mol]", "Loss of lithium to negative SEI [mol]", diff --git a/src/pybamm/input/parameters/lithium_ion/Ecker2015.py b/src/pybamm/input/parameters/lithium_ion/Ecker2015.py index 68a4a1dcb3..c1b0084719 100644 --- a/src/pybamm/input/parameters/lithium_ion/Ecker2015.py +++ b/src/pybamm/input/parameters/lithium_ion/Ecker2015.py @@ -367,7 +367,7 @@ def SEI_limited_dead_lithium_OKane2022(L_sei): Parameters ---------- L_sei : :class:`pybamm.Symbol` - Total SEI thickness [m] + SEI thickness [m] Returns ------- :class:`pybamm.Symbol` diff --git a/src/pybamm/input/parameters/lithium_ion/Ecker2015_graphite_halfcell.py b/src/pybamm/input/parameters/lithium_ion/Ecker2015_graphite_halfcell.py index d03e8c6e79..f3716f41b6 100644 --- a/src/pybamm/input/parameters/lithium_ion/Ecker2015_graphite_halfcell.py +++ b/src/pybamm/input/parameters/lithium_ion/Ecker2015_graphite_halfcell.py @@ -254,7 +254,7 @@ def SEI_limited_dead_lithium_OKane2022(L_sei): Parameters ---------- L_sei : :class:`pybamm.Symbol` - Total SEI thickness [m] + SEI thickness [m] Returns ------- :class:`pybamm.Symbol` diff --git a/src/pybamm/input/parameters/lithium_ion/OKane2022.py b/src/pybamm/input/parameters/lithium_ion/OKane2022.py index e071c6451a..9ba88a26b8 100644 --- a/src/pybamm/input/parameters/lithium_ion/OKane2022.py +++ b/src/pybamm/input/parameters/lithium_ion/OKane2022.py @@ -77,7 +77,7 @@ def SEI_limited_dead_lithium_OKane2022(L_sei): Parameters ---------- L_sei : :class:`pybamm.Symbol` - Total SEI thickness [m] + SEI thickness [m] Returns ------- :class:`pybamm.Symbol` diff --git a/src/pybamm/input/parameters/lithium_ion/OKane2022_graphite_SiOx_halfcell.py b/src/pybamm/input/parameters/lithium_ion/OKane2022_graphite_SiOx_halfcell.py index 0c32407073..2821bd30a1 100644 --- a/src/pybamm/input/parameters/lithium_ion/OKane2022_graphite_SiOx_halfcell.py +++ b/src/pybamm/input/parameters/lithium_ion/OKane2022_graphite_SiOx_halfcell.py @@ -107,7 +107,7 @@ def SEI_limited_dead_lithium_OKane2022(L_sei): Parameters ---------- L_sei : :class:`pybamm.Symbol` - Total SEI thickness [m] + SEI thickness [m] Returns ------- :class:`pybamm.Symbol` diff --git a/src/pybamm/models/submodels/interface/kinetics/inverse_kinetics/inverse_butler_volmer.py b/src/pybamm/models/submodels/interface/kinetics/inverse_kinetics/inverse_butler_volmer.py index b49993afd8..3b8e527642 100644 --- a/src/pybamm/models/submodels/interface/kinetics/inverse_kinetics/inverse_butler_volmer.py +++ b/src/pybamm/models/submodels/interface/kinetics/inverse_kinetics/inverse_butler_volmer.py @@ -71,9 +71,9 @@ def get_coupled_variables(self, variables): if self.options["SEI film resistance"] != "none": R_sei = self.phase_param.R_sei if self.options.electrode_types[domain] == "planar": - L_sei = variables[f"{Domain} total SEI thickness [m]"] + L_sei = variables[f"{Domain} SEI thickness [m]"] else: - L_sei = variables[f"X-averaged {domain} total SEI thickness [m]"] + L_sei = variables[f"X-averaged {domain} SEI thickness [m]"] eta_sei = -j_tot * L_sei * R_sei # Without SEI resistance else: diff --git a/src/pybamm/models/submodels/interface/sei/sei_thickness.py b/src/pybamm/models/submodels/interface/sei/sei_thickness.py index fd60ecae05..0cf6a24ea3 100644 --- a/src/pybamm/models/submodels/interface/sei/sei_thickness.py +++ b/src/pybamm/models/submodels/interface/sei/sei_thickness.py @@ -99,10 +99,7 @@ def get_coupled_variables(self, variables): variables.update( { f"{Domain} {reaction_name}thickness [m]": L_sei, - f"{Domain} {reaction_name}[m]": L_sei, - f"{Domain} total {reaction_name}thickness [m]": L_sei, f"X-averaged {domain} {reaction_name}thickness [m]": L_sei_xav, - f"X-averaged {domain} total {reaction_name}thickness [m]": L_sei_xav, f"Volume-averaged {domain} {reaction_name}thickness [m]": L_sei_av, } ) From be55ba06dff902f2c39d0b0fc69d55dcc5987fd9 Mon Sep 17 00:00:00 2001 From: Simon O'Kane Date: Fri, 21 Feb 2025 18:48:59 +0000 Subject: [PATCH 03/17] Changed 'Initial SEI thickness [m]' to 'Initial SEI concentration [mol.m-3]' in all parameter sets --- src/pybamm/input/parameters/lithium_ion/Ai2020.py | 4 ++-- src/pybamm/input/parameters/lithium_ion/Chen2020.py | 2 +- .../input/parameters/lithium_ion/Chen2020_composite.py | 4 ++-- src/pybamm/input/parameters/lithium_ion/Ecker2015.py | 2 +- .../parameters/lithium_ion/Ecker2015_graphite_halfcell.py | 2 +- src/pybamm/input/parameters/lithium_ion/Marquis2019.py | 2 +- src/pybamm/input/parameters/lithium_ion/Mohtat2020.py | 2 +- src/pybamm/input/parameters/lithium_ion/NCA_Kim2011.py | 2 +- src/pybamm/input/parameters/lithium_ion/OKane2022.py | 6 +++--- .../lithium_ion/OKane2022_graphite_SiOx_halfcell.py | 6 +++--- src/pybamm/input/parameters/lithium_ion/Ramadass2004.py | 2 +- src/pybamm/input/parameters/lithium_ion/Xu2019.py | 2 +- 12 files changed, 18 insertions(+), 18 deletions(-) diff --git a/src/pybamm/input/parameters/lithium_ion/Ai2020.py b/src/pybamm/input/parameters/lithium_ion/Ai2020.py index ff317c2ac0..af7f45dfe5 100644 --- a/src/pybamm/input/parameters/lithium_ion/Ai2020.py +++ b/src/pybamm/input/parameters/lithium_ion/Ai2020.py @@ -543,8 +543,8 @@ def get_parameter_values(): "SEI electron conductivity [S.m-1]": 8.95e-14, "SEI lithium interstitial diffusivity [m2.s-1]": 1e-20, "Lithium interstitial reference concentration [mol.m-3]": 15.0, - "Initial SEI thickness [m]": 5e-09, - "Initial SEI on cracks thickness [m]": 5e-13, # avoid division by zero + "Initial SEI concentration [mol.m-3]": 38.34, + "Initial SEI on cracks concentration [mol.m-3]": 0.002, # from O'Kane 2022 "EC initial concentration in electrolyte [mol.m-3]": 4541.0, "EC diffusivity [m2.s-1]": 2e-18, "SEI kinetic rate constant [m.s-1]": 1e-12, diff --git a/src/pybamm/input/parameters/lithium_ion/Chen2020.py b/src/pybamm/input/parameters/lithium_ion/Chen2020.py index ae0b440daf..819ddc8f85 100644 --- a/src/pybamm/input/parameters/lithium_ion/Chen2020.py +++ b/src/pybamm/input/parameters/lithium_ion/Chen2020.py @@ -236,7 +236,7 @@ def get_parameter_values(): "SEI electron conductivity [S.m-1]": 8.95e-14, "SEI lithium interstitial diffusivity [m2.s-1]": 1e-20, "Lithium interstitial reference concentration [mol.m-3]": 15.0, - "Initial SEI thickness [m]": 5e-09, + "Initial SEI concentration [mol.m-3]": 38.34, "EC initial concentration in electrolyte [mol.m-3]": 4541.0, "EC diffusivity [m2.s-1]": 2e-18, "SEI kinetic rate constant [m.s-1]": 1e-12, diff --git a/src/pybamm/input/parameters/lithium_ion/Chen2020_composite.py b/src/pybamm/input/parameters/lithium_ion/Chen2020_composite.py index b7b602104d..813bd6ea77 100644 --- a/src/pybamm/input/parameters/lithium_ion/Chen2020_composite.py +++ b/src/pybamm/input/parameters/lithium_ion/Chen2020_composite.py @@ -337,7 +337,7 @@ def get_parameter_values(): "Primary: SEI electron conductivity [S.m-1]": 8.95e-14, "Primary: SEI lithium interstitial diffusivity [m2.s-1]": 1e-20, "Primary: Lithium interstitial reference concentration [mol.m-3]": 15.0, - "Primary: Initial SEI thickness [m]": 5e-09, + "Primary: Initial SEI concentration [mol.m-3]": 38.34, "Primary: EC initial concentration in electrolyte [mol.m-3]": 4541.0, "Primary: EC diffusivity [m2.s-1]": 2e-18, "Primary: SEI kinetic rate constant [m.s-1]": 1e-12, @@ -352,7 +352,7 @@ def get_parameter_values(): "Secondary: SEI electron conductivity [S.m-1]": 8.95e-14, "Secondary: SEI lithium interstitial diffusivity [m2.s-1]": 1e-20, "Secondary: Lithium interstitial reference concentration [mol.m-3]": 15.0, - "Secondary: Initial SEI thickness [m]": 5e-09, + "Secondary: Initial SEI concentration [mol.m-3]": 38.34, "Secondary: EC initial concentration in electrolyte [mol.m-3]": 4541.0, "Secondary: EC diffusivity [m2.s-1]": 2e-18, "Secondary: SEI kinetic rate constant [m.s-1]": 1e-12, diff --git a/src/pybamm/input/parameters/lithium_ion/Ecker2015.py b/src/pybamm/input/parameters/lithium_ion/Ecker2015.py index c1b0084719..6a27102af4 100644 --- a/src/pybamm/input/parameters/lithium_ion/Ecker2015.py +++ b/src/pybamm/input/parameters/lithium_ion/Ecker2015.py @@ -521,7 +521,7 @@ def get_parameter_values(): "SEI electron conductivity [S.m-1]": 8.95e-14, "SEI lithium interstitial diffusivity [m2.s-1]": 1e-20, "Lithium interstitial reference concentration [mol.m-3]": 15.0, - "Initial SEI thickness [m]": 5e-09, + "Initial SEI concentration [mol.m-3]": 38.34, "EC initial concentration in electrolyte [mol.m-3]": 4541.0, "EC diffusivity [m2.s-1]": 2e-18, "SEI kinetic rate constant [m.s-1]": 1e-12, diff --git a/src/pybamm/input/parameters/lithium_ion/Ecker2015_graphite_halfcell.py b/src/pybamm/input/parameters/lithium_ion/Ecker2015_graphite_halfcell.py index f3716f41b6..c4aa3b9436 100644 --- a/src/pybamm/input/parameters/lithium_ion/Ecker2015_graphite_halfcell.py +++ b/src/pybamm/input/parameters/lithium_ion/Ecker2015_graphite_halfcell.py @@ -443,7 +443,7 @@ def get_parameter_values(): "SEI electron conductivity [S.m-1]": 8.95e-14, "SEI lithium interstitial diffusivity [m2.s-1]": 1e-20, "Lithium interstitial reference concentration [mol.m-3]": 15.0, - "Initial SEI thickness [m]": 5e-09, + "Initial SEI concentration [mol.m-3]": 38.34, "EC initial concentration in electrolyte [mol.m-3]": 4541.0, "EC diffusivity [m2.s-1]": 2e-18, "SEI kinetic rate constant [m.s-1]": 1e-12, diff --git a/src/pybamm/input/parameters/lithium_ion/Marquis2019.py b/src/pybamm/input/parameters/lithium_ion/Marquis2019.py index ecd9a59ff0..cfc2459626 100644 --- a/src/pybamm/input/parameters/lithium_ion/Marquis2019.py +++ b/src/pybamm/input/parameters/lithium_ion/Marquis2019.py @@ -362,7 +362,7 @@ def get_parameter_values(): "SEI electron conductivity [S.m-1]": 8.95e-14, "SEI lithium interstitial diffusivity [m2.s-1]": 1e-20, "Lithium interstitial reference concentration [mol.m-3]": 15.0, - "Initial SEI thickness [m]": 5e-09, + "Initial SEI concentration [mol.m-3]": 38.34, "EC initial concentration in electrolyte [mol.m-3]": 4541.0, "EC diffusivity [m2.s-1]": 2e-18, "SEI kinetic rate constant [m.s-1]": 1e-12, diff --git a/src/pybamm/input/parameters/lithium_ion/Mohtat2020.py b/src/pybamm/input/parameters/lithium_ion/Mohtat2020.py index c35b205d4e..5e0c47adde 100644 --- a/src/pybamm/input/parameters/lithium_ion/Mohtat2020.py +++ b/src/pybamm/input/parameters/lithium_ion/Mohtat2020.py @@ -353,7 +353,7 @@ def get_parameter_values(): "SEI electron conductivity [S.m-1]": 8.95e-14, "SEI lithium interstitial diffusivity [m2.s-1]": 1e-20, "Lithium interstitial reference concentration [mol.m-3]": 15.0, - "Initial SEI thickness [m]": 5e-09, + "Initial SEI concentration [mol.m-3]": 38.34, "EC initial concentration in electrolyte [mol.m-3]": 4541.0, "EC diffusivity [m2.s-1]": 2e-18, "SEI kinetic rate constant [m.s-1]": 1e-12, diff --git a/src/pybamm/input/parameters/lithium_ion/NCA_Kim2011.py b/src/pybamm/input/parameters/lithium_ion/NCA_Kim2011.py index 54caf0d510..60a7ecd97c 100644 --- a/src/pybamm/input/parameters/lithium_ion/NCA_Kim2011.py +++ b/src/pybamm/input/parameters/lithium_ion/NCA_Kim2011.py @@ -320,7 +320,7 @@ def get_parameter_values(): "SEI electron conductivity [S.m-1]": 8.95e-14, "SEI lithium interstitial diffusivity [m2.s-1]": 1e-20, "Lithium interstitial reference concentration [mol.m-3]": 15.0, - "Initial SEI thickness [m]": 5e-09, + "Initial SEI concentration [mol.m-3]": 38.34, "EC initial concentration in electrolyte [mol.m-3]": 4541.0, "EC diffusivity [m2.s-1]": 2e-18, "SEI kinetic rate constant [m.s-1]": 1e-12, diff --git a/src/pybamm/input/parameters/lithium_ion/OKane2022.py b/src/pybamm/input/parameters/lithium_ion/OKane2022.py index 9ba88a26b8..140ff58ddc 100644 --- a/src/pybamm/input/parameters/lithium_ion/OKane2022.py +++ b/src/pybamm/input/parameters/lithium_ion/OKane2022.py @@ -520,7 +520,7 @@ def get_parameter_values(): "Dead lithium decay constant [s-1]": 1e-06, "Dead lithium decay rate [s-1]": SEI_limited_dead_lithium_OKane2022, # sei - "Ratio of lithium moles to SEI moles": 1.0, + "Ratio of lithium moles to SEI moles": 1.0, # not physical but true to paper "SEI partial molar volume [m3.mol-1]": 9.585e-05, "SEI reaction exchange current density [A.m-2]": 1.5e-07, "SEI resistivity [Ohm.m]": 200000.0, @@ -530,8 +530,8 @@ def get_parameter_values(): "SEI electron conductivity [S.m-1]": 8.95e-14, "SEI lithium interstitial diffusivity [m2.s-1]": 1e-20, "Lithium interstitial reference concentration [mol.m-3]": 15.0, - "Initial SEI thickness [m]": 5e-09, - "Initial SEI on cracks thickness [m]": 5e-13, # avoid division by zero + "Initial SEI concentration [mol.m-3]": 20.03, + "Initial SEI on cracks concentration [mol.m-3]": 0.002003, "EC initial concentration in electrolyte [mol.m-3]": 4541.0, "EC diffusivity [m2.s-1]": 2e-18, "SEI kinetic rate constant [m.s-1]": 1e-12, diff --git a/src/pybamm/input/parameters/lithium_ion/OKane2022_graphite_SiOx_halfcell.py b/src/pybamm/input/parameters/lithium_ion/OKane2022_graphite_SiOx_halfcell.py index 2821bd30a1..5de809391d 100644 --- a/src/pybamm/input/parameters/lithium_ion/OKane2022_graphite_SiOx_halfcell.py +++ b/src/pybamm/input/parameters/lithium_ion/OKane2022_graphite_SiOx_halfcell.py @@ -405,7 +405,7 @@ def get_parameter_values(): "Dead lithium decay constant [s-1]": 1e-06, "Dead lithium decay rate [s-1]": SEI_limited_dead_lithium_OKane2022, # sei - "Ratio of lithium moles to SEI moles": 1.0, + "Ratio of lithium moles to SEI moles": 1.0, # not physical but true to paper "SEI partial molar volume [m3.mol-1]": 9.585e-05, "SEI reaction exchange current density [A.m-2]": 1.5e-07, "SEI resistivity [Ohm.m]": 200000.0, @@ -415,8 +415,8 @@ def get_parameter_values(): "SEI electron conductivity [S.m-1]": 8.95e-14, "SEI lithium interstitial diffusivity [m2.s-1]": 1e-20, "Lithium interstitial reference concentration [mol.m-3]": 15.0, - "Initial SEI thickness [m]": 5e-9, - "Initial SEI on cracks thickness [m]": 5e-13, # avoid division by zero + "Initial SEI concentration [mol.m-3]": 20.03, + "Initial SEI on cracks concentration [mol.m-3]": 0.002003, "EC initial concentration in electrolyte [mol.m-3]": 4541.0, "EC diffusivity [m2.s-1]": 2e-18, "SEI kinetic rate constant [m.s-1]": 1e-12, diff --git a/src/pybamm/input/parameters/lithium_ion/Ramadass2004.py b/src/pybamm/input/parameters/lithium_ion/Ramadass2004.py index 1a94149f51..297f1a15a1 100644 --- a/src/pybamm/input/parameters/lithium_ion/Ramadass2004.py +++ b/src/pybamm/input/parameters/lithium_ion/Ramadass2004.py @@ -374,7 +374,7 @@ def get_parameter_values(): "SEI electron conductivity [S.m-1]": 8.95e-14, "SEI lithium interstitial diffusivity [m2.s-1]": 1e-20, "Lithium interstitial reference concentration [mol.m-3]": 15.0, - "Initial SEI thickness [m]": 5e-09, + "Initial SEI concentration [mol.m-3]": 38.34, "EC initial concentration in electrolyte [mol.m-3]": 4541.0, "EC diffusivity [m2.s-1]": 2e-18, "SEI kinetic rate constant [m.s-1]": 1e-12, diff --git a/src/pybamm/input/parameters/lithium_ion/Xu2019.py b/src/pybamm/input/parameters/lithium_ion/Xu2019.py index 0ce019650e..f3710e3ce4 100644 --- a/src/pybamm/input/parameters/lithium_ion/Xu2019.py +++ b/src/pybamm/input/parameters/lithium_ion/Xu2019.py @@ -224,7 +224,7 @@ def get_parameter_values(): "SEI electron conductivity [S.m-1]": 8.95e-14, "SEI lithium interstitial diffusivity [m2.s-1]": 1e-20, "Lithium interstitial reference concentration [mol.m-3]": 15.0, - "Initial SEI thickness [m]": 5e-09, + "Initial SEI concentration [mol.m-3]": 38.34, "EC initial concentration in electrolyte [mol.m-3]": 4541.0, "EC diffusivity [m2.s-1]": 2e-18, "SEI kinetic rate constant [m.s-1]": 1e-12, From 5d7a89c917f09cffd053538909842f7bde220f7f Mon Sep 17 00:00:00 2001 From: Simon O'Kane Date: Fri, 21 Feb 2025 18:49:39 +0000 Subject: [PATCH 04/17] minor correction to Ai2020.py --- src/pybamm/input/parameters/lithium_ion/Ai2020.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/pybamm/input/parameters/lithium_ion/Ai2020.py b/src/pybamm/input/parameters/lithium_ion/Ai2020.py index af7f45dfe5..90976f711b 100644 --- a/src/pybamm/input/parameters/lithium_ion/Ai2020.py +++ b/src/pybamm/input/parameters/lithium_ion/Ai2020.py @@ -544,7 +544,7 @@ def get_parameter_values(): "SEI lithium interstitial diffusivity [m2.s-1]": 1e-20, "Lithium interstitial reference concentration [mol.m-3]": 15.0, "Initial SEI concentration [mol.m-3]": 38.34, - "Initial SEI on cracks concentration [mol.m-3]": 0.002, # from O'Kane 2022 + "Initial SEI on cracks concentration [mol.m-3]": 0.002003, # from O'Kane 2022 "EC initial concentration in electrolyte [mol.m-3]": 4541.0, "EC diffusivity [m2.s-1]": 2e-18, "SEI kinetic rate constant [m.s-1]": 1e-12, From 1acde17c8d11a36a99d8ff4e06a2250ee5b79a18 Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Fri, 21 Feb 2025 19:05:06 +0000 Subject: [PATCH 05/17] style: pre-commit fixes --- .../lithium_ion/base_lithium_ion_model.py | 24 +++++++++---------- .../submodels/interface/sei/base_sei.py | 2 +- .../submodels/interface/sei/constant_sei.py | 4 ++-- .../submodels/interface/sei/sei_thickness.py | 4 ++-- 4 files changed, 17 insertions(+), 17 deletions(-) diff --git a/src/pybamm/models/full_battery_models/lithium_ion/base_lithium_ion_model.py b/src/pybamm/models/full_battery_models/lithium_ion/base_lithium_ion_model.py index f623cdb7a9..efd64da072 100644 --- a/src/pybamm/models/full_battery_models/lithium_ion/base_lithium_ion_model.py +++ b/src/pybamm/models/full_battery_models/lithium_ion/base_lithium_ion_model.py @@ -302,10 +302,10 @@ def set_sei_submodel(self): cracks=False, ) self.submodels[f"{domain} {phase} sei"] = submodel - self.submodels[ - f"{domain} {phase} sei thickness" - ] = pybamm.sei.SEIThickness( - self.param, domain, self.options, phase, cracks=False + self.submodels[f"{domain} {phase} sei thickness"] = ( + pybamm.sei.SEIThickness( + self.param, domain, self.options, phase, cracks=False + ) ) if len(phases) > 1: self.submodels[f"{domain} total sei"] = pybamm.sei.TotalSEI( @@ -338,14 +338,14 @@ def set_sei_on_cracks_submodel(self): cracks=True, ) self.submodels[f"{domain} {phase} sei on cracks"] = submodel - self.submodels[ - f"{domain} {phase} sei on cracks thickness" - ] = pybamm.sei.SEIThickness( - self.param, - domain, - self.options, - phase, - cracks=True, + self.submodels[f"{domain} {phase} sei on cracks thickness"] = ( + pybamm.sei.SEIThickness( + self.param, + domain, + self.options, + phase, + cracks=True, + ) ) if len(phases) > 1: self.submodels[f"{domain} total sei on cracks"] = ( diff --git a/src/pybamm/models/submodels/interface/sei/base_sei.py b/src/pybamm/models/submodels/interface/sei/base_sei.py index a1f74a01da..45acc14267 100644 --- a/src/pybamm/models/submodels/interface/sei/base_sei.py +++ b/src/pybamm/models/submodels/interface/sei/base_sei.py @@ -112,7 +112,7 @@ def _get_standard_concentration_variables(self, c_sei): else: c_sei_0 = phase_param.c_sei_0 # mol.m-3 c_sei_crack_0 = phase_param.c_sei_crack_0 - + if self.reaction == "SEI": delta_c_sei = c_sei_av - c_sei_0 elif self.reaction == "SEI on cracks": diff --git a/src/pybamm/models/submodels/interface/sei/constant_sei.py b/src/pybamm/models/submodels/interface/sei/constant_sei.py index 910d950bd6..7d2de184a6 100644 --- a/src/pybamm/models/submodels/interface/sei/constant_sei.py +++ b/src/pybamm/models/submodels/interface/sei/constant_sei.py @@ -34,10 +34,10 @@ def get_fundamental_variables(self): domain = self.domain.lower() # Constant concentration if self.reaction_loc == "interface": - # c_sei is an interfacial quantity [mol.m-2] + # c_sei is an interfacial quantity [mol.m-2] c_sei = self.phase_param.c_sei_planar_0 else: - # c_sei is a bulk quantity [mol.m-3] + # c_sei is a bulk quantity [mol.m-3] c_sei = self.phase_param.c_sei_0 variables = self._get_standard_concentration_variables(c_sei) diff --git a/src/pybamm/models/submodels/interface/sei/sei_thickness.py b/src/pybamm/models/submodels/interface/sei/sei_thickness.py index 0cf6a24ea3..0ec4232180 100644 --- a/src/pybamm/models/submodels/interface/sei/sei_thickness.py +++ b/src/pybamm/models/submodels/interface/sei/sei_thickness.py @@ -77,8 +77,8 @@ def get_coupled_variables(self, variables): variables.update( { - f"X-averaged {self.domain} electrode resistance " - "[Ohm.m2]": L_sei_xav * R_sei, + f"X-averaged {self.domain} electrode resistance [Ohm.m2]": L_sei_xav + * R_sei, } ) # Thickness variables are handled slightly differently for SEI on cracks From 8aad2ef0f001bbb08e889c60909b30cf6d2da565 Mon Sep 17 00:00:00 2001 From: Simon O'Kane Date: Fri, 21 Feb 2025 19:12:11 +0000 Subject: [PATCH 06/17] style fix --- CHANGELOG.md | 2 ++ src/pybamm/models/submodels/interface/sei/base_sei.py | 1 - 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 4bf1fe7f9b..51b502da0d 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -10,6 +10,8 @@ ## Breaking changes +- Changed fundamental variable for all SEI models from thickness to concentration ([#4869](https://github.com/pybamm-team/PyBaMM/pull/4869)) +- Replaced parameter `"Initial SEI thickness [m]"` with `"Initial SEI concentration [mol.m-3]"` ([#4869](https://github.com/pybamm-team/PyBaMM/pull/4869)) - Added `skip_ok` option to `step` to allow for steps to be skipped if they are infeasible at initial conditions. ([#4839](https://github.com/pybamm-team/PyBaMM/pull/4839)) - Deprecated `CrateTermination` and renamed it to `CRateTermination`. ([#4834](https://github.com/pybamm-team/PyBaMM/pull/4834)) diff --git a/src/pybamm/models/submodels/interface/sei/base_sei.py b/src/pybamm/models/submodels/interface/sei/base_sei.py index a1f74a01da..b140809a97 100644 --- a/src/pybamm/models/submodels/interface/sei/base_sei.py +++ b/src/pybamm/models/submodels/interface/sei/base_sei.py @@ -72,7 +72,6 @@ def _get_standard_concentration_variables(self, c_sei): """ domain, Domain = self.domain_Domain phase_param = self.phase_param - phase_name = phase_param.phase_name reaction_name = self.reaction_name if self.reaction.loc == "interface": From bbe7eaf750b1e8104223071b6f97fa0123525ab0 Mon Sep 17 00:00:00 2001 From: Simon O'Kane Date: Fri, 21 Feb 2025 19:18:01 +0000 Subject: [PATCH 07/17] fixed typo in base_sei.py --- src/pybamm/models/submodels/interface/sei/base_sei.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/pybamm/models/submodels/interface/sei/base_sei.py b/src/pybamm/models/submodels/interface/sei/base_sei.py index a2b65bfb2b..e558186dc6 100644 --- a/src/pybamm/models/submodels/interface/sei/base_sei.py +++ b/src/pybamm/models/submodels/interface/sei/base_sei.py @@ -74,7 +74,7 @@ def _get_standard_concentration_variables(self, c_sei): phase_param = self.phase_param reaction_name = self.reaction_name - if self.reaction.loc == "interface": + if self.reaction_loc == "interface": # c_sei is an interfacial quantity [mol.m-2] c_sei_av = pybamm.yz_average(c_sei) variables = { From 031cba418465e190a820a29d4c96d6163ca6ebe1 Mon Sep 17 00:00:00 2001 From: Simon O'Kane Date: Fri, 21 Feb 2025 20:27:32 +0000 Subject: [PATCH 08/17] Removed references to the old 'total SEI' variables --- .../models/submodels/interface/kinetics/base_kinetics.py | 6 +++--- .../models/submodels/interface/lithium_plating/plating.py | 4 ++-- src/pybamm/models/submodels/interface/sei/sei_growth.py | 2 +- 3 files changed, 6 insertions(+), 6 deletions(-) diff --git a/src/pybamm/models/submodels/interface/kinetics/base_kinetics.py b/src/pybamm/models/submodels/interface/kinetics/base_kinetics.py index 1c8773f02d..004f7e94f2 100644 --- a/src/pybamm/models/submodels/interface/kinetics/base_kinetics.py +++ b/src/pybamm/models/submodels/interface/kinetics/base_kinetics.py @@ -130,18 +130,18 @@ def get_coupled_variables(self, variables): if self.options.electrode_types[domain] == "planar": R_sei = self.phase_param.R_sei L_sei = variables[ - f"{Domain} total {phase_name}SEI thickness [m]" + f"{Domain} {phase_name}SEI thickness [m]" ] # on interface eta_sei = -j_tot_av * L_sei * R_sei elif self.options["SEI film resistance"] == "average": R_sei = self.phase_param.R_sei L_sei_av = variables[ - f"X-averaged {domain} total {phase_name}SEI thickness [m]" + f"X-averaged {domain} {phase_name}SEI thickness [m]" ] eta_sei = -j_tot_av * L_sei_av * R_sei elif self.options["SEI film resistance"] == "distributed": R_sei = self.phase_param.R_sei - L_sei = variables[f"{Domain} total {phase_name}SEI thickness [m]"] + L_sei = variables[f"{Domain} {phase_name}SEI thickness [m]"] j_tot = variables[ f"Total {domain} electrode {phase_name}" "interfacial current density variable [A.m-2]" diff --git a/src/pybamm/models/submodels/interface/lithium_plating/plating.py b/src/pybamm/models/submodels/interface/lithium_plating/plating.py index f019c3b9d8..98fd4dfc1a 100644 --- a/src/pybamm/models/submodels/interface/lithium_plating/plating.py +++ b/src/pybamm/models/submodels/interface/lithium_plating/plating.py @@ -119,7 +119,7 @@ def set_rhs(self, variables): "interfacial current density [A.m-3]" ] L_sei = variables[ - f"X-averaged {domain} total {phase_name}SEI thickness [m]" + f"X-averaged {domain} {phase_name}SEI thickness [m]" ] else: c_plated_Li = variables[ @@ -132,7 +132,7 @@ def set_rhs(self, variables): f"{Domain} electrode {phase_name}lithium plating volumetric " "interfacial current density [A.m-3]" ] - L_sei = variables[f"{Domain} total {phase_name}SEI thickness [m]"] + L_sei = variables[f"{Domain} {phase_name}SEI thickness [m]"] lithium_plating_option = getattr(getattr(self.options, domain), self.phase)[ "lithium plating" diff --git a/src/pybamm/models/submodels/interface/sei/sei_growth.py b/src/pybamm/models/submodels/interface/sei/sei_growth.py index df1445cdd7..6562da601d 100644 --- a/src/pybamm/models/submodels/interface/sei/sei_growth.py +++ b/src/pybamm/models/submodels/interface/sei/sei_growth.py @@ -112,7 +112,7 @@ def get_coupled_variables(self, variables): "interfacial current density [A.m-2]" ] - L_sei = variables[f"{Domain} total {self.reaction_name}thickness [m]"] + L_sei = variables[f"{Domain} {self.reaction_name}thickness [m]"] R_sei = phase_param.R_sei eta_SEI = delta_phi - phase_param.U_sei - j * L_sei * R_sei From fae6a708d02d8701eed56dd18bd84b4403ab0d0e Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Fri, 21 Feb 2025 20:27:49 +0000 Subject: [PATCH 09/17] style: pre-commit fixes --- .../models/submodels/interface/kinetics/base_kinetics.py | 8 ++------ .../models/submodels/interface/lithium_plating/plating.py | 4 +--- 2 files changed, 3 insertions(+), 9 deletions(-) diff --git a/src/pybamm/models/submodels/interface/kinetics/base_kinetics.py b/src/pybamm/models/submodels/interface/kinetics/base_kinetics.py index 004f7e94f2..3337179764 100644 --- a/src/pybamm/models/submodels/interface/kinetics/base_kinetics.py +++ b/src/pybamm/models/submodels/interface/kinetics/base_kinetics.py @@ -129,15 +129,11 @@ def get_coupled_variables(self, variables): # Add SEI resistance if self.options.electrode_types[domain] == "planar": R_sei = self.phase_param.R_sei - L_sei = variables[ - f"{Domain} {phase_name}SEI thickness [m]" - ] # on interface + L_sei = variables[f"{Domain} {phase_name}SEI thickness [m]"] # on interface eta_sei = -j_tot_av * L_sei * R_sei elif self.options["SEI film resistance"] == "average": R_sei = self.phase_param.R_sei - L_sei_av = variables[ - f"X-averaged {domain} {phase_name}SEI thickness [m]" - ] + L_sei_av = variables[f"X-averaged {domain} {phase_name}SEI thickness [m]"] eta_sei = -j_tot_av * L_sei_av * R_sei elif self.options["SEI film resistance"] == "distributed": R_sei = self.phase_param.R_sei diff --git a/src/pybamm/models/submodels/interface/lithium_plating/plating.py b/src/pybamm/models/submodels/interface/lithium_plating/plating.py index 98fd4dfc1a..bbf0d86acb 100644 --- a/src/pybamm/models/submodels/interface/lithium_plating/plating.py +++ b/src/pybamm/models/submodels/interface/lithium_plating/plating.py @@ -118,9 +118,7 @@ def set_rhs(self, variables): f"X-averaged {domain} electrode {phase_name}lithium plating volumetric " "interfacial current density [A.m-3]" ] - L_sei = variables[ - f"X-averaged {domain} {phase_name}SEI thickness [m]" - ] + L_sei = variables[f"X-averaged {domain} {phase_name}SEI thickness [m]"] else: c_plated_Li = variables[ f"{Domain} {phase_name}lithium plating concentration [mol.m-3]" From 819a0c46ffc209575460af193a35e611f46643ea Mon Sep 17 00:00:00 2001 From: Simon O'Kane Date: Fri, 21 Feb 2025 20:34:24 +0000 Subject: [PATCH 10/17] Replaced L_sei_0 in dead lithium decay rate functions with a scalar --- src/pybamm/input/parameters/lithium_ion/Ecker2015.py | 2 +- .../input/parameters/lithium_ion/Ecker2015_graphite_halfcell.py | 2 +- src/pybamm/input/parameters/lithium_ion/OKane2022.py | 2 +- .../parameters/lithium_ion/OKane2022_graphite_SiOx_halfcell.py | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/src/pybamm/input/parameters/lithium_ion/Ecker2015.py b/src/pybamm/input/parameters/lithium_ion/Ecker2015.py index 6a27102af4..6400ca212a 100644 --- a/src/pybamm/input/parameters/lithium_ion/Ecker2015.py +++ b/src/pybamm/input/parameters/lithium_ion/Ecker2015.py @@ -375,7 +375,7 @@ def SEI_limited_dead_lithium_OKane2022(L_sei): """ gamma_0 = pybamm.Parameter("Dead lithium decay constant [s-1]") - L_sei_0 = pybamm.Parameter("Initial SEI thickness [m]") + L_sei_0 = pybamm.Scalar(5E-9) gamma = gamma_0 * L_sei_0 / L_sei diff --git a/src/pybamm/input/parameters/lithium_ion/Ecker2015_graphite_halfcell.py b/src/pybamm/input/parameters/lithium_ion/Ecker2015_graphite_halfcell.py index c4aa3b9436..389e88fa28 100644 --- a/src/pybamm/input/parameters/lithium_ion/Ecker2015_graphite_halfcell.py +++ b/src/pybamm/input/parameters/lithium_ion/Ecker2015_graphite_halfcell.py @@ -262,7 +262,7 @@ def SEI_limited_dead_lithium_OKane2022(L_sei): """ gamma_0 = pybamm.Parameter("Dead lithium decay constant [s-1]") - L_sei_0 = pybamm.Parameter("Initial SEI thickness [m]") + L_sei_0 = pybamm.Scalar(5E-9) gamma = gamma_0 * L_sei_0 / L_sei diff --git a/src/pybamm/input/parameters/lithium_ion/OKane2022.py b/src/pybamm/input/parameters/lithium_ion/OKane2022.py index 140ff58ddc..31ab232e4a 100644 --- a/src/pybamm/input/parameters/lithium_ion/OKane2022.py +++ b/src/pybamm/input/parameters/lithium_ion/OKane2022.py @@ -85,7 +85,7 @@ def SEI_limited_dead_lithium_OKane2022(L_sei): """ gamma_0 = pybamm.Parameter("Dead lithium decay constant [s-1]") - L_sei_0 = pybamm.Parameter("Initial SEI thickness [m]") + L_sei_0 = pybamm.Scalar(5E-9) gamma = gamma_0 * L_sei_0 / L_sei diff --git a/src/pybamm/input/parameters/lithium_ion/OKane2022_graphite_SiOx_halfcell.py b/src/pybamm/input/parameters/lithium_ion/OKane2022_graphite_SiOx_halfcell.py index 5de809391d..b4e4f90cbd 100644 --- a/src/pybamm/input/parameters/lithium_ion/OKane2022_graphite_SiOx_halfcell.py +++ b/src/pybamm/input/parameters/lithium_ion/OKane2022_graphite_SiOx_halfcell.py @@ -115,7 +115,7 @@ def SEI_limited_dead_lithium_OKane2022(L_sei): """ gamma_0 = pybamm.Parameter("Dead lithium decay constant [s-1]") - L_sei_0 = pybamm.Parameter("Initial SEI thickness [m]") + L_sei_0 = pybamm.Scalar(5E-9) gamma = gamma_0 * L_sei_0 / L_sei From 95b3b1a4c657133f5337e560097912997e45b84b Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Fri, 21 Feb 2025 20:34:54 +0000 Subject: [PATCH 11/17] style: pre-commit fixes --- src/pybamm/input/parameters/lithium_ion/Ecker2015.py | 2 +- .../input/parameters/lithium_ion/Ecker2015_graphite_halfcell.py | 2 +- src/pybamm/input/parameters/lithium_ion/OKane2022.py | 2 +- .../parameters/lithium_ion/OKane2022_graphite_SiOx_halfcell.py | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/src/pybamm/input/parameters/lithium_ion/Ecker2015.py b/src/pybamm/input/parameters/lithium_ion/Ecker2015.py index 6400ca212a..39fd7ee7bb 100644 --- a/src/pybamm/input/parameters/lithium_ion/Ecker2015.py +++ b/src/pybamm/input/parameters/lithium_ion/Ecker2015.py @@ -375,7 +375,7 @@ def SEI_limited_dead_lithium_OKane2022(L_sei): """ gamma_0 = pybamm.Parameter("Dead lithium decay constant [s-1]") - L_sei_0 = pybamm.Scalar(5E-9) + L_sei_0 = pybamm.Scalar(5e-9) gamma = gamma_0 * L_sei_0 / L_sei diff --git a/src/pybamm/input/parameters/lithium_ion/Ecker2015_graphite_halfcell.py b/src/pybamm/input/parameters/lithium_ion/Ecker2015_graphite_halfcell.py index 389e88fa28..8b7ee9df01 100644 --- a/src/pybamm/input/parameters/lithium_ion/Ecker2015_graphite_halfcell.py +++ b/src/pybamm/input/parameters/lithium_ion/Ecker2015_graphite_halfcell.py @@ -262,7 +262,7 @@ def SEI_limited_dead_lithium_OKane2022(L_sei): """ gamma_0 = pybamm.Parameter("Dead lithium decay constant [s-1]") - L_sei_0 = pybamm.Scalar(5E-9) + L_sei_0 = pybamm.Scalar(5e-9) gamma = gamma_0 * L_sei_0 / L_sei diff --git a/src/pybamm/input/parameters/lithium_ion/OKane2022.py b/src/pybamm/input/parameters/lithium_ion/OKane2022.py index 31ab232e4a..4110bc31b6 100644 --- a/src/pybamm/input/parameters/lithium_ion/OKane2022.py +++ b/src/pybamm/input/parameters/lithium_ion/OKane2022.py @@ -85,7 +85,7 @@ def SEI_limited_dead_lithium_OKane2022(L_sei): """ gamma_0 = pybamm.Parameter("Dead lithium decay constant [s-1]") - L_sei_0 = pybamm.Scalar(5E-9) + L_sei_0 = pybamm.Scalar(5e-9) gamma = gamma_0 * L_sei_0 / L_sei diff --git a/src/pybamm/input/parameters/lithium_ion/OKane2022_graphite_SiOx_halfcell.py b/src/pybamm/input/parameters/lithium_ion/OKane2022_graphite_SiOx_halfcell.py index b4e4f90cbd..ac2331355e 100644 --- a/src/pybamm/input/parameters/lithium_ion/OKane2022_graphite_SiOx_halfcell.py +++ b/src/pybamm/input/parameters/lithium_ion/OKane2022_graphite_SiOx_halfcell.py @@ -115,7 +115,7 @@ def SEI_limited_dead_lithium_OKane2022(L_sei): """ gamma_0 = pybamm.Parameter("Dead lithium decay constant [s-1]") - L_sei_0 = pybamm.Scalar(5E-9) + L_sei_0 = pybamm.Scalar(5e-9) gamma = gamma_0 * L_sei_0 / L_sei From 2b5fdf03269dcd70accde0744f859e533e4da543 Mon Sep 17 00:00:00 2001 From: Simon O'Kane Date: Fri, 21 Feb 2025 22:29:17 +0000 Subject: [PATCH 12/17] Removed reference to initial SEI thickness in reaction_driven_porosity.py --- .../porosity/reaction_driven_porosity.py | 27 ++++++++++--------- 1 file changed, 15 insertions(+), 12 deletions(-) diff --git a/src/pybamm/models/submodels/porosity/reaction_driven_porosity.py b/src/pybamm/models/submodels/porosity/reaction_driven_porosity.py index 520f9302cc..8857e4f025 100644 --- a/src/pybamm/models/submodels/porosity/reaction_driven_porosity.py +++ b/src/pybamm/models/submodels/porosity/reaction_driven_porosity.py @@ -29,10 +29,6 @@ def get_coupled_variables(self, variables): if domain != "separator": # separator porosity does not change dom = domain.split()[0] Domain = dom.capitalize() - if Domain == "Negative": - L_sei_0 = self.param.n.prim.L_sei_0 - elif Domain == "Positive": - L_sei_0 = self.param.p.prim.L_sei_0 SEI_option = getattr(self.options, dom)["SEI"] phases_option = getattr(self.options, dom)["particle phases"] phases = self.options.phases[dom] @@ -45,11 +41,23 @@ def get_coupled_variables(self, variables): # `domain` has more than one phase phase_name = phase + " " pref = phase.capitalize() + ": " - L_sei_k = variables[f"{Domain} total {phase_name}SEI thickness [m]"] + a_k = variables[ + f"{Domain} electrode {phase_name}" + "surface area to volume ratio [m-1]" + ] if SEI_option == "none": L_sei_0 = pybamm.Scalar(0) else: - L_sei_0 = pybamm.Parameter(f"{pref}Initial SEI thickness [m]") + c_sei_0 = pybamm.Parameter( + f"{pref}Initial SEI concentration [mol.m-3]" + ) + V_bar_sei = pybamm.Parameter( + f"{pref}SEI partial molar volume [m3.mol-1]" + ) + # Use of a_k to calculate L_sei_0 introduces errors if there is + # a lot of LAM and c_sei_0 is large, but Li is still conserved + L_sei_0 = c_sei_0 * V_bar_sei / a_k + L_sei_k = variables[f"{Domain} {phase_name}SEI thickness [m]"] L_pl_k = variables[ f"{Domain} {phase_name}lithium plating thickness [m]" ] @@ -57,7 +65,7 @@ def get_coupled_variables(self, variables): f"{Domain} {phase_name}dead lithium thickness [m]" ] L_sei_cr_k = variables[ - f"{Domain} total {phase_name}SEI on cracks thickness [m]" + f"{Domain} {phase_name}SEI on cracks thickness [m]" ] roughness_k = variables[ f"{Domain} {phase_name}electrode roughness ratio" @@ -70,11 +78,6 @@ def get_coupled_variables(self, variables): + L_sei_cr_k * (roughness_k - 1) ) - a_k = variables[ - f"{Domain} electrode {phase_name}" - "surface area to volume ratio [m-1]" - ] - # This assumes a thin film so curvature effects are neglected. # They could be included (e.g. for a sphere it is # a_n * (L_tot + L_tot ** 2 / R_n + L_tot ** # 3 / (3 * R_n ** 2))) From 1fc07d391297553606d6a4b4514a9456c8aef77a Mon Sep 17 00:00:00 2001 From: Simon O'Kane Date: Thu, 27 Feb 2025 20:43:47 +0000 Subject: [PATCH 13/17] Added value and citation for initial SEI concentration on Li metal --- src/pybamm/CITATIONS.bib | 11 +++++++++++ .../lithium_ion/Ecker2015_graphite_halfcell.py | 2 ++ .../lithium_ion/OKane2022_graphite_SiOx_halfcell.py | 3 ++- src/pybamm/input/parameters/lithium_ion/Xu2019.py | 3 ++- src/pybamm/parameters/lithium_ion_parameters.py | 4 +++- 5 files changed, 20 insertions(+), 3 deletions(-) diff --git a/src/pybamm/CITATIONS.bib b/src/pybamm/CITATIONS.bib index d289ed5dbf..026dd79592 100644 --- a/src/pybamm/CITATIONS.bib +++ b/src/pybamm/CITATIONS.bib @@ -379,6 +379,17 @@ @article{Lin2014 publisher={Elsevier} } +@article{Liu2017, + title={A Model of Concurrent Lithium Dendrite Growth, SEI Growth, SEI Penetration and Regrowth}, + author={Liu, Guangyu and Lu, Wei}, + journal={Journal of The Electrochemical Society}, + volume={164}, + number={9}, + pages={A1826--A1833}, + year={2017}, + publisher={The Electrochemical Society} +} + @article{Mackie1955, title={The diffusion of electrolytes in a cation-exchange resin membrane I. Theoretical}, author={Mackie, JS and Meares, P}, diff --git a/src/pybamm/input/parameters/lithium_ion/Ecker2015_graphite_halfcell.py b/src/pybamm/input/parameters/lithium_ion/Ecker2015_graphite_halfcell.py index 8b7ee9df01..ada5d2ed9e 100644 --- a/src/pybamm/input/parameters/lithium_ion/Ecker2015_graphite_halfcell.py +++ b/src/pybamm/input/parameters/lithium_ion/Ecker2015_graphite_halfcell.py @@ -444,6 +444,7 @@ def get_parameter_values(): "SEI lithium interstitial diffusivity [m2.s-1]": 1e-20, "Lithium interstitial reference concentration [mol.m-3]": 15.0, "Initial SEI concentration [mol.m-3]": 38.34, + "Initial SEI concentration on Li metal [mol.m-2]": 1.043e-04, # Liu and Wu 2017 "EC initial concentration in electrolyte [mol.m-3]": 4541.0, "EC diffusivity [m2.s-1]": 2e-18, "SEI kinetic rate constant [m.s-1]": 1e-12, @@ -529,6 +530,7 @@ def get_parameter_values(): "Zhao2018", "Hales2019", "Xu2019", + "Liu2017", "Richardson2020", "OKane2020", ], diff --git a/src/pybamm/input/parameters/lithium_ion/OKane2022_graphite_SiOx_halfcell.py b/src/pybamm/input/parameters/lithium_ion/OKane2022_graphite_SiOx_halfcell.py index ac2331355e..5a98163c6b 100644 --- a/src/pybamm/input/parameters/lithium_ion/OKane2022_graphite_SiOx_halfcell.py +++ b/src/pybamm/input/parameters/lithium_ion/OKane2022_graphite_SiOx_halfcell.py @@ -416,6 +416,7 @@ def get_parameter_values(): "SEI lithium interstitial diffusivity [m2.s-1]": 1e-20, "Lithium interstitial reference concentration [mol.m-3]": 15.0, "Initial SEI concentration [mol.m-3]": 20.03, + "Initial SEI concentration on Li metal [mol.m-2]": 1.043e-04, # Liu and Wu 2017 "Initial SEI on cracks concentration [mol.m-3]": 0.002003, "EC initial concentration in electrolyte [mol.m-3]": 4541.0, "EC diffusivity [m2.s-1]": 2e-18, @@ -508,5 +509,5 @@ def get_parameter_values(): "Initial concentration in positive electrode [mol.m-3]": 29866.0, "Initial temperature [K]": 298.15, # citations - "citations": ["OKane2022", "OKane2020", "Chen2020", "Xu2019"], + "citations": ["OKane2022", "OKane2020", "Chen2020", "Xu2019", "Liu2017"], } diff --git a/src/pybamm/input/parameters/lithium_ion/Xu2019.py b/src/pybamm/input/parameters/lithium_ion/Xu2019.py index f3710e3ce4..65dbd74240 100644 --- a/src/pybamm/input/parameters/lithium_ion/Xu2019.py +++ b/src/pybamm/input/parameters/lithium_ion/Xu2019.py @@ -225,6 +225,7 @@ def get_parameter_values(): "SEI lithium interstitial diffusivity [m2.s-1]": 1e-20, "Lithium interstitial reference concentration [mol.m-3]": 15.0, "Initial SEI concentration [mol.m-3]": 38.34, + "Initial SEI concentration on Li metal [mol.m-2]": 1.043e-04, # Liu and Wu 2017 "EC initial concentration in electrolyte [mol.m-3]": 4541.0, "EC diffusivity [m2.s-1]": 2e-18, "SEI kinetic rate constant [m.s-1]": 1e-12, @@ -287,5 +288,5 @@ def get_parameter_values(): "Initial concentration in positive electrode [mol.m-3]": 4631.0, "Initial temperature [K]": 298.15, # citations - "citations": ["Xu2019", "Valoen2005"], + "citations": ["Xu2019", "Liu2017", "Valoen2005"], } diff --git a/src/pybamm/parameters/lithium_ion_parameters.py b/src/pybamm/parameters/lithium_ion_parameters.py index 8d1daa7e40..ad0051943d 100644 --- a/src/pybamm/parameters/lithium_ion_parameters.py +++ b/src/pybamm/parameters/lithium_ion_parameters.py @@ -357,7 +357,9 @@ def _set_parameters(self): f"{pref}SEI lithium ion conductivity [S.m-1]" ) self.c_sei_0 = pybamm.Parameter(f"{pref}Initial SEI concentration [mol.m-3]") - self.c_sei_planar_0 = pybamm.Parameter("Initial SEI concentration [mol.m-2]") + self.c_sei_planar_0 = pybamm.Parameter( + "Initial SEI concentration on Li metal [mol.m-2]" + ) self.c_sei_crack_0 = pybamm.Parameter( f"{pref}Initial SEI on cracks concentration [mol.m-3]" ) From c0f8ba871f598f1fc43514379dd4221dca1983bb Mon Sep 17 00:00:00 2001 From: Simon O'Kane Date: Thu, 27 Feb 2025 20:51:41 +0000 Subject: [PATCH 14/17] Removed a reference to total SEI that crept back in --- examples/scripts/cycling_ageing.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/scripts/cycling_ageing.py b/examples/scripts/cycling_ageing.py index 9a763e0646..ac0611bf05 100644 --- a/examples/scripts/cycling_ageing.py +++ b/examples/scripts/cycling_ageing.py @@ -70,7 +70,7 @@ "X-averaged negative electrode SEI interfacial current density [A.m-2]", "X-averaged negative electrode lithium plating interfacial current density " "[A.m-2]", - "X-averaged negative total SEI concentration [mol.m-3]", + "X-averaged negative SEI concentration [mol.m-3]", "X-averaged negative dead lithium concentration [mol.m-3]", [ "Total lithium lost [mol]", From cf652a0b3641eba39c96d281ebf65e93ba2213ba Mon Sep 17 00:00:00 2001 From: Simon O'Kane Date: Fri, 28 Feb 2025 11:05:28 +0000 Subject: [PATCH 15/17] fixed some citations --- .../notebooks/models/SEI-on-cracks.ipynb | 4 +- .../examples/notebooks/models/half-cell.ipynb | 58 +++++++++---------- .../Ecker2015_graphite_halfcell.py | 2 +- .../OKane2022_graphite_SiOx_halfcell.py | 2 +- .../input/parameters/lithium_ion/Xu2019.py | 2 +- 5 files changed, 31 insertions(+), 37 deletions(-) diff --git a/docs/source/examples/notebooks/models/SEI-on-cracks.ipynb b/docs/source/examples/notebooks/models/SEI-on-cracks.ipynb index 47d618fb23..a50b8a2372 100644 --- a/docs/source/examples/notebooks/models/SEI-on-cracks.ipynb +++ b/docs/source/examples/notebooks/models/SEI-on-cracks.ipynb @@ -35,7 +35,7 @@ "id": "c46a0904", "metadata": {}, "source": [ - "Define two models. In model1, the only degradation mechanism is solvent-diffusion limited SEI growth. model2 includes the same SEI growth mechanism but also includes particle cracking and SEI growth on the cracks. The SEI model is run twice: once on the initial surface and once on the cracks. The equations for SEI on cracks are reported by O'Kane et al. [9] To ensure a fair experiment, particle swelling is enabled in both models." + "Define two models. In model1, the only degradation mechanism is solvent-diffusion limited SEI growth. model2 includes the same SEI growth mechanism but also includes particle cracking and SEI growth on the cracks. The SEI model is run twice: once on the initial surface and once on the cracks. The equations for SEI on cracks are reported by O'Kane et al. [10] To ensure a fair experiment, particle swelling is enabled in both models." ] }, { @@ -255,7 +255,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.3" + "version": "3.10.12" }, "vscode": { "interpreter": { diff --git a/docs/source/examples/notebooks/models/half-cell.ipynb b/docs/source/examples/notebooks/models/half-cell.ipynb index 530e3e3b31..d1bd19f813 100644 --- a/docs/source/examples/notebooks/models/half-cell.ipynb +++ b/docs/source/examples/notebooks/models/half-cell.ipynb @@ -22,13 +22,6 @@ "text": [ "Note: you may need to restart the kernel to use updated packages.\n" ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "An NVIDIA GPU may be present on this machine, but a CUDA-enabled jaxlib is not installed. Falling back to cpu.\n" - ] } ], "source": [ @@ -47,7 +40,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "id": "7f30409c", "metadata": {}, "outputs": [], @@ -62,12 +55,12 @@ "id": "f372aa29", "metadata": {}, "source": [ - "To simulate a half-cell, pass `{\"working electrode\": \"positive\"}` to the options dictionary. This deletes the negative electrode and replaces it with lithium metal, which has a fixed open-circuit voltage of zero. First, we load the NMC-based positive half-cell studied by Xu _et al._ [12]" + "To simulate a half-cell, pass `{\"working electrode\": \"positive\"}` to the options dictionary. This deletes the negative electrode and replaces it with lithium metal, which has a fixed open-circuit voltage of zero. First, we load the NMC-based positive half-cell studied by Xu _et al._ [14]" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "id": "917bbc26", "metadata": {}, "outputs": [], @@ -86,13 +79,13 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "id": "84d7eeea", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -126,7 +119,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "id": "f0778bb4", "metadata": {}, "outputs": [ @@ -139,7 +132,7 @@ }, { "data": { - "image/png": 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", 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", 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" ] @@ -168,18 +161,18 @@ "id": "523a222f", "metadata": {}, "source": [ - "Next, load a negative half-cell with a graphite-silicon composite as the positive electrode. This is the negative half of the full cell studied by O'Kane _et al._ [9] and therefore supports all the degradation mechanisms included in that paper. Just like in the [coupled degradation notebook](https://docs.pybamm.org/en/latest/source/examples/notebooks/models/coupled-degradation.html), use the options dictionary to switch the mechanisms on and off. Unlike for a full cell, the `SEI` option applies to the lithium metal electrode as well as the positive electrode. To set different options for each, use a 2-tuple. The `SEI on cracks` and `lithium plating` options do not work on the lithium metal electrode." + "Next, load a negative half-cell with a graphite-silicon composite as the positive electrode. This is the negative half of the full cell studied by O'Kane _et al._ [11] and therefore supports all the degradation mechanisms included in that paper. Just like in the [coupled degradation notebook](https://docs.pybamm.org/en/latest/source/examples/notebooks/models/coupled-degradation.html), use the options dictionary to switch the mechanisms on and off. Unlike for a full cell, the `SEI` option applies to the lithium metal electrode as well as the positive electrode. To set different options for each, use a 2-tuple. The `SEI on cracks` and `lithium plating` options do not work on the lithium metal electrode." ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "id": "af6e5dfd", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -232,13 +225,13 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "id": "e66f0384", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -273,13 +266,13 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, "id": "71ec63ab", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -308,13 +301,13 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "id": "123f46f1", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -349,7 +342,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "id": "faa82d38", "metadata": {}, "outputs": [ @@ -364,12 +357,13 @@ "[5] Rutooj Deshpande, Mark Verbrugge, Yang-Tse Cheng, John Wang, and Ping Liu. Battery cycle life prediction with coupled chemical degradation and fatigue mechanics. Journal of the Electrochemical Society, 159(10):A1730, 2012. doi:10.1149/2.049210jes.\n", "[6] Marc Doyle, Thomas F. Fuller, and John Newman. Modeling of galvanostatic charge and discharge of the lithium/polymer/insertion cell. Journal of the Electrochemical society, 140(6):1526–1533, 1993. doi:10.1149/1.2221597.\n", "[7] Charles R. Harris, K. Jarrod Millman, Stéfan J. van der Walt, Ralf Gommers, Pauli Virtanen, David Cournapeau, Eric Wieser, Julian Taylor, Sebastian Berg, Nathaniel J. Smith, and others. Array programming with NumPy. Nature, 585(7825):357–362, 2020. doi:10.1038/s41586-020-2649-2.\n", - "[8] Scott G. Marquis. Long-term degradation of lithium-ion batteries. PhD thesis, University of Oxford, 2020.\n", - "[9] Simon E. J. O'Kane, Ian D. Campbell, Mohamed W. J. Marzook, Gregory J. Offer, and Monica Marinescu. Physical origin of the differential voltage minimum associated with lithium plating in li-ion batteries. Journal of The Electrochemical Society, 167(9):090540, may 2020. URL: https://doi.org/10.1149/1945-7111/ab90ac, doi:10.1149/1945-7111/ab90ac.\n", - "[10] Simon E. J. O'Kane, Weilong Ai, Ganesh Madabattula, Diego Alonso-Alvarez, Robert Timms, Valentin Sulzer, Jacqueline Sophie Edge, Billy Wu, Gregory J. Offer, and Monica Marinescu. Lithium-ion battery degradation: how to model it. Phys. Chem. Chem. Phys., 24:7909-7922, 2022. URL: http://dx.doi.org/10.1039/D2CP00417H, doi:10.1039/D2CP00417H.\n", - "[11] Valentin Sulzer, Scott G. Marquis, Robert Timms, Martin Robinson, and S. Jon Chapman. Python Battery Mathematical Modelling (PyBaMM). Journal of Open Research Software, 9(1):14, 2021. doi:10.5334/jors.309.\n", - "[12] Lars Ole Valøen and Jan N Reimers. Transport properties of lipf6-based li-ion battery electrolytes. Journal of The Electrochemical Society, 152(5):A882, 2005.\n", - "[13] Shanshan Xu, Kuan-Hung Chen, Neil P Dasgupta, Jason B Siegel, and Anna G Stefanopoulou. Evolution of dead lithium growth in lithium metal batteries: experimentally validated model of the apparent capacity loss. Journal of The Electrochemical Society, 166(14):A3456, 2019.\n", + "[8] Guangyu Liu and Wei Lu. A model of concurrent lithium dendrite growth, sei growth, sei penetration and regrowth. Journal of The Electrochemical Society, 164(9):A1826–A1833, 2017.\n", + "[9] Scott G. Marquis. Long-term degradation of lithium-ion batteries. PhD thesis, University of Oxford, 2020.\n", + "[10] Simon E. J. O'Kane, Ian D. Campbell, Mohamed W. J. Marzook, Gregory J. Offer, and Monica Marinescu. Physical origin of the differential voltage minimum associated with lithium plating in li-ion batteries. Journal of The Electrochemical Society, 167(9):090540, may 2020. URL: https://doi.org/10.1149/1945-7111/ab90ac, doi:10.1149/1945-7111/ab90ac.\n", + "[11] Simon E. J. O'Kane, Weilong Ai, Ganesh Madabattula, Diego Alonso-Alvarez, Robert Timms, Valentin Sulzer, Jacqueline Sophie Edge, Billy Wu, Gregory J. Offer, and Monica Marinescu. Lithium-ion battery degradation: how to model it. Phys. Chem. Chem. Phys., 24:7909-7922, 2022. URL: http://dx.doi.org/10.1039/D2CP00417H, doi:10.1039/D2CP00417H.\n", + "[12] Valentin Sulzer, Scott G. Marquis, Robert Timms, Martin Robinson, and S. Jon Chapman. Python Battery Mathematical Modelling (PyBaMM). Journal of Open Research Software, 9(1):14, 2021. doi:10.5334/jors.309.\n", + "[13] Lars Ole Valøen and Jan N Reimers. Transport properties of lipf6-based li-ion battery electrolytes. Journal of The Electrochemical Society, 152(5):A882, 2005.\n", + "[14] Shanshan Xu, Kuan-Hung Chen, Neil P Dasgupta, Jason B Siegel, and Anna G Stefanopoulou. Evolution of dead lithium growth in lithium metal batteries: experimentally validated model of the apparent capacity loss. Journal of The Electrochemical Society, 166(14):A3456, 2019.\n", "\n" ] } @@ -389,7 +383,7 @@ ], "metadata": { "kernelspec": { - "display_name": "venv", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -403,7 +397,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.6" + "version": "3.10.12" } }, "nbformat": 4, diff --git a/src/pybamm/input/parameters/lithium_ion/Ecker2015_graphite_halfcell.py b/src/pybamm/input/parameters/lithium_ion/Ecker2015_graphite_halfcell.py index ada5d2ed9e..254fe3cdd4 100644 --- a/src/pybamm/input/parameters/lithium_ion/Ecker2015_graphite_halfcell.py +++ b/src/pybamm/input/parameters/lithium_ion/Ecker2015_graphite_halfcell.py @@ -444,7 +444,7 @@ def get_parameter_values(): "SEI lithium interstitial diffusivity [m2.s-1]": 1e-20, "Lithium interstitial reference concentration [mol.m-3]": 15.0, "Initial SEI concentration [mol.m-3]": 38.34, - "Initial SEI concentration on Li metal [mol.m-2]": 1.043e-04, # Liu and Wu 2017 + "Initial SEI concentration on Li metal [mol.m-2]": 1.043e-04, # Liu and Lu 2017 "EC initial concentration in electrolyte [mol.m-3]": 4541.0, "EC diffusivity [m2.s-1]": 2e-18, "SEI kinetic rate constant [m.s-1]": 1e-12, diff --git a/src/pybamm/input/parameters/lithium_ion/OKane2022_graphite_SiOx_halfcell.py b/src/pybamm/input/parameters/lithium_ion/OKane2022_graphite_SiOx_halfcell.py index 5a98163c6b..2142203c2e 100644 --- a/src/pybamm/input/parameters/lithium_ion/OKane2022_graphite_SiOx_halfcell.py +++ b/src/pybamm/input/parameters/lithium_ion/OKane2022_graphite_SiOx_halfcell.py @@ -416,7 +416,7 @@ def get_parameter_values(): "SEI lithium interstitial diffusivity [m2.s-1]": 1e-20, "Lithium interstitial reference concentration [mol.m-3]": 15.0, "Initial SEI concentration [mol.m-3]": 20.03, - "Initial SEI concentration on Li metal [mol.m-2]": 1.043e-04, # Liu and Wu 2017 + "Initial SEI concentration on Li metal [mol.m-2]": 1.043e-04, # Liu and Lu 2017 "Initial SEI on cracks concentration [mol.m-3]": 0.002003, "EC initial concentration in electrolyte [mol.m-3]": 4541.0, "EC diffusivity [m2.s-1]": 2e-18, diff --git a/src/pybamm/input/parameters/lithium_ion/Xu2019.py b/src/pybamm/input/parameters/lithium_ion/Xu2019.py index 65dbd74240..67da394cbe 100644 --- a/src/pybamm/input/parameters/lithium_ion/Xu2019.py +++ b/src/pybamm/input/parameters/lithium_ion/Xu2019.py @@ -225,7 +225,7 @@ def get_parameter_values(): "SEI lithium interstitial diffusivity [m2.s-1]": 1e-20, "Lithium interstitial reference concentration [mol.m-3]": 15.0, "Initial SEI concentration [mol.m-3]": 38.34, - "Initial SEI concentration on Li metal [mol.m-2]": 1.043e-04, # Liu and Wu 2017 + "Initial SEI concentration on Li metal [mol.m-2]": 1.043e-04, # Liu and Lu 2017 "EC initial concentration in electrolyte [mol.m-3]": 4541.0, "EC diffusivity [m2.s-1]": 2e-18, "SEI kinetic rate constant [m.s-1]": 1e-12, From c28351e5081cb0f893e235d80160d3e7012d507c Mon Sep 17 00:00:00 2001 From: Simon O'Kane Date: Fri, 28 Feb 2025 11:26:11 +0000 Subject: [PATCH 16/17] Changed solver in half cell notebook to IDAKLU --- .../examples/notebooks/models/half-cell.ipynb | 25 +++++++++++-------- 1 file changed, 14 insertions(+), 11 deletions(-) diff --git a/docs/source/examples/notebooks/models/half-cell.ipynb b/docs/source/examples/notebooks/models/half-cell.ipynb index d1bd19f813..9f88b40674 100644 --- a/docs/source/examples/notebooks/models/half-cell.ipynb +++ b/docs/source/examples/notebooks/models/half-cell.ipynb @@ -99,7 +99,8 @@ " [\"Discharge at C/25 until 3.5 V\", \"Charge at C/25 until 4.2 V\"]\n", ")\n", "sim1 = pybamm.Simulation(model, parameter_values=param_nmc, experiment=exp_slow)\n", - "sol1 = sim1.solve()\n", + "solver = pybamm.IDAKLUSolver()\n", + "sol1 = sim1.solve(solver=solver)\n", "t = sol1[\"Time [s]\"].entries\n", "V = sol1[\"Voltage [V]\"].entries\n", "plt.figure()\n", @@ -146,7 +147,7 @@ " [\"Discharge at 1C until 3.5 V\", \"Charge at 1C until 4.2 V\"]\n", ")\n", "sim2 = pybamm.Simulation(model, parameter_values=param_nmc, experiment=exp_fast)\n", - "sol2 = sim2.solve()\n", + "sol2 = sim2.solve(solver=solver)\n", "t = sol2[\"Time [s]\"].entries\n", "V = sol2[\"Voltage [V]\"].entries\n", "plt.figure()\n", @@ -205,7 +206,7 @@ " experiment=exp_degradation,\n", " var_pts=var_pts,\n", ")\n", - "sol3 = sim3.solve()\n", + "sol3 = sim3.solve(solver=solver)\n", "t = sol3[\"Time [s]\"].entries\n", "V = sol3[\"Voltage [V]\"].entries\n", "plt.figure()\n", @@ -289,7 +290,7 @@ " experiment=exp_degradation,\n", " var_pts=var_pts,\n", ")\n", - "sol4 = sim4.solve()\n", + "sol4 = sim4.solve(solver=solver)\n", "t = sol4[\"Time [s]\"].entries\n", "V = sol4[\"Voltage [V]\"].entries\n", "plt.figure()\n", @@ -357,13 +358,15 @@ "[5] Rutooj Deshpande, Mark Verbrugge, Yang-Tse Cheng, John Wang, and Ping Liu. Battery cycle life prediction with coupled chemical degradation and fatigue mechanics. Journal of the Electrochemical Society, 159(10):A1730, 2012. doi:10.1149/2.049210jes.\n", "[6] Marc Doyle, Thomas F. Fuller, and John Newman. Modeling of galvanostatic charge and discharge of the lithium/polymer/insertion cell. Journal of the Electrochemical society, 140(6):1526–1533, 1993. doi:10.1149/1.2221597.\n", "[7] Charles R. Harris, K. Jarrod Millman, Stéfan J. van der Walt, Ralf Gommers, Pauli Virtanen, David Cournapeau, Eric Wieser, Julian Taylor, Sebastian Berg, Nathaniel J. Smith, and others. Array programming with NumPy. Nature, 585(7825):357–362, 2020. doi:10.1038/s41586-020-2649-2.\n", - "[8] Guangyu Liu and Wei Lu. A model of concurrent lithium dendrite growth, sei growth, sei penetration and regrowth. Journal of The Electrochemical Society, 164(9):A1826–A1833, 2017.\n", - "[9] Scott G. Marquis. Long-term degradation of lithium-ion batteries. PhD thesis, University of Oxford, 2020.\n", - "[10] Simon E. J. O'Kane, Ian D. Campbell, Mohamed W. J. Marzook, Gregory J. Offer, and Monica Marinescu. Physical origin of the differential voltage minimum associated with lithium plating in li-ion batteries. Journal of The Electrochemical Society, 167(9):090540, may 2020. URL: https://doi.org/10.1149/1945-7111/ab90ac, doi:10.1149/1945-7111/ab90ac.\n", - "[11] Simon E. J. O'Kane, Weilong Ai, Ganesh Madabattula, Diego Alonso-Alvarez, Robert Timms, Valentin Sulzer, Jacqueline Sophie Edge, Billy Wu, Gregory J. Offer, and Monica Marinescu. Lithium-ion battery degradation: how to model it. Phys. Chem. Chem. Phys., 24:7909-7922, 2022. URL: http://dx.doi.org/10.1039/D2CP00417H, doi:10.1039/D2CP00417H.\n", - "[12] Valentin Sulzer, Scott G. Marquis, Robert Timms, Martin Robinson, and S. Jon Chapman. Python Battery Mathematical Modelling (PyBaMM). Journal of Open Research Software, 9(1):14, 2021. doi:10.5334/jors.309.\n", - "[13] Lars Ole Valøen and Jan N Reimers. Transport properties of lipf6-based li-ion battery electrolytes. Journal of The Electrochemical Society, 152(5):A882, 2005.\n", - "[14] Shanshan Xu, Kuan-Hung Chen, Neil P Dasgupta, Jason B Siegel, and Anna G Stefanopoulou. Evolution of dead lithium growth in lithium metal batteries: experimentally validated model of the apparent capacity loss. Journal of The Electrochemical Society, 166(14):A3456, 2019.\n", + "[8] Alan C. Hindmarsh. The PVODE and IDA algorithms. Technical Report, Lawrence Livermore National Lab., CA (US), 2000. doi:10.2172/802599.\n", + "[9] Alan C. Hindmarsh, Peter N. Brown, Keith E. Grant, Steven L. Lee, Radu Serban, Dan E. Shumaker, and Carol S. Woodward. SUNDIALS: Suite of nonlinear and differential/algebraic equation solvers. ACM Transactions on Mathematical Software (TOMS), 31(3):363–396, 2005. doi:10.1145/1089014.1089020.\n", + "[10] Guangyu Liu and Wei Lu. A model of concurrent lithium dendrite growth, sei growth, sei penetration and regrowth. Journal of The Electrochemical Society, 164(9):A1826–A1833, 2017.\n", + "[11] Scott G. Marquis. Long-term degradation of lithium-ion batteries. PhD thesis, University of Oxford, 2020.\n", + "[12] Simon E. J. O'Kane, Ian D. Campbell, Mohamed W. J. Marzook, Gregory J. Offer, and Monica Marinescu. Physical origin of the differential voltage minimum associated with lithium plating in li-ion batteries. Journal of The Electrochemical Society, 167(9):090540, may 2020. URL: https://doi.org/10.1149/1945-7111/ab90ac, doi:10.1149/1945-7111/ab90ac.\n", + "[13] Simon E. J. O'Kane, Weilong Ai, Ganesh Madabattula, Diego Alonso-Alvarez, Robert Timms, Valentin Sulzer, Jacqueline Sophie Edge, Billy Wu, Gregory J. Offer, and Monica Marinescu. Lithium-ion battery degradation: how to model it. Phys. Chem. Chem. Phys., 24:7909-7922, 2022. URL: http://dx.doi.org/10.1039/D2CP00417H, doi:10.1039/D2CP00417H.\n", + "[14] Valentin Sulzer, Scott G. Marquis, Robert Timms, Martin Robinson, and S. Jon Chapman. Python Battery Mathematical Modelling (PyBaMM). Journal of Open Research Software, 9(1):14, 2021. doi:10.5334/jors.309.\n", + "[15] Lars Ole Valøen and Jan N Reimers. Transport properties of lipf6-based li-ion battery electrolytes. Journal of The Electrochemical Society, 152(5):A882, 2005.\n", + "[16] Shanshan Xu, Kuan-Hung Chen, Neil P Dasgupta, Jason B Siegel, and Anna G Stefanopoulou. Evolution of dead lithium growth in lithium metal batteries: experimentally validated model of the apparent capacity loss. Journal of The Electrochemical Society, 166(14):A3456, 2019.\n", "\n" ] } From b5c63ad25f959410a7c60614f423400836cf807a Mon Sep 17 00:00:00 2001 From: Simon O'Kane Date: Fri, 28 Feb 2025 13:39:08 +0000 Subject: [PATCH 17/17] Removed reference to Liu and Lu, because Safari et al. is sufficient --- .../examples/notebooks/models/half-cell.ipynb | 25 +++++++++---------- src/pybamm/CITATIONS.bib | 11 -------- .../Ecker2015_graphite_halfcell.py | 3 +-- .../OKane2022_graphite_SiOx_halfcell.py | 4 +-- .../input/parameters/lithium_ion/Xu2019.py | 4 +-- 5 files changed, 17 insertions(+), 30 deletions(-) diff --git a/docs/source/examples/notebooks/models/half-cell.ipynb b/docs/source/examples/notebooks/models/half-cell.ipynb index 9f88b40674..a0eb54156f 100644 --- a/docs/source/examples/notebooks/models/half-cell.ipynb +++ b/docs/source/examples/notebooks/models/half-cell.ipynb @@ -55,7 +55,7 @@ "id": "f372aa29", "metadata": {}, "source": [ - "To simulate a half-cell, pass `{\"working electrode\": \"positive\"}` to the options dictionary. This deletes the negative electrode and replaces it with lithium metal, which has a fixed open-circuit voltage of zero. First, we load the NMC-based positive half-cell studied by Xu _et al._ [14]" + "To simulate a half-cell, pass `{\"working electrode\": \"positive\"}` to the options dictionary. This deletes the negative electrode and replaces it with lithium metal, which has a fixed open-circuit voltage of zero. First, we load the NMC-based positive half-cell studied by Xu _et al._ [15]" ] }, { @@ -162,7 +162,7 @@ "id": "523a222f", "metadata": {}, "source": [ - "Next, load a negative half-cell with a graphite-silicon composite as the positive electrode. This is the negative half of the full cell studied by O'Kane _et al._ [11] and therefore supports all the degradation mechanisms included in that paper. Just like in the [coupled degradation notebook](https://docs.pybamm.org/en/latest/source/examples/notebooks/models/coupled-degradation.html), use the options dictionary to switch the mechanisms on and off. Unlike for a full cell, the `SEI` option applies to the lithium metal electrode as well as the positive electrode. To set different options for each, use a 2-tuple. The `SEI on cracks` and `lithium plating` options do not work on the lithium metal electrode." + "Next, load a negative half-cell with a graphite-silicon composite as the positive electrode. This is the negative half of the full cell studied by O'Kane _et al._ [12] and therefore supports all the degradation mechanisms included in that paper. Just like in the [coupled degradation notebook](https://docs.pybamm.org/en/latest/source/examples/notebooks/models/coupled-degradation.html), use the options dictionary to switch the mechanisms on and off. Unlike for a full cell, the `SEI` option applies to the lithium metal electrode as well as the positive electrode. To set different options for each, use a 2-tuple. The `SEI on cracks` and `lithium plating` options do not work on the lithium metal electrode." ] }, { @@ -173,7 +173,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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", 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", 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" ] @@ -273,7 +273,7 @@ "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -308,7 +308,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -360,13 +360,12 @@ "[7] Charles R. Harris, K. Jarrod Millman, Stéfan J. van der Walt, Ralf Gommers, Pauli Virtanen, David Cournapeau, Eric Wieser, Julian Taylor, Sebastian Berg, Nathaniel J. Smith, and others. Array programming with NumPy. Nature, 585(7825):357–362, 2020. doi:10.1038/s41586-020-2649-2.\n", "[8] Alan C. Hindmarsh. The PVODE and IDA algorithms. Technical Report, Lawrence Livermore National Lab., CA (US), 2000. doi:10.2172/802599.\n", "[9] Alan C. Hindmarsh, Peter N. Brown, Keith E. Grant, Steven L. Lee, Radu Serban, Dan E. Shumaker, and Carol S. Woodward. SUNDIALS: Suite of nonlinear and differential/algebraic equation solvers. ACM Transactions on Mathematical Software (TOMS), 31(3):363–396, 2005. doi:10.1145/1089014.1089020.\n", - "[10] Guangyu Liu and Wei Lu. A model of concurrent lithium dendrite growth, sei growth, sei penetration and regrowth. Journal of The Electrochemical Society, 164(9):A1826–A1833, 2017.\n", - "[11] Scott G. Marquis. Long-term degradation of lithium-ion batteries. PhD thesis, University of Oxford, 2020.\n", - "[12] Simon E. J. O'Kane, Ian D. Campbell, Mohamed W. J. Marzook, Gregory J. Offer, and Monica Marinescu. Physical origin of the differential voltage minimum associated with lithium plating in li-ion batteries. Journal of The Electrochemical Society, 167(9):090540, may 2020. URL: https://doi.org/10.1149/1945-7111/ab90ac, doi:10.1149/1945-7111/ab90ac.\n", - "[13] Simon E. J. O'Kane, Weilong Ai, Ganesh Madabattula, Diego Alonso-Alvarez, Robert Timms, Valentin Sulzer, Jacqueline Sophie Edge, Billy Wu, Gregory J. Offer, and Monica Marinescu. Lithium-ion battery degradation: how to model it. Phys. Chem. Chem. Phys., 24:7909-7922, 2022. URL: http://dx.doi.org/10.1039/D2CP00417H, doi:10.1039/D2CP00417H.\n", - "[14] Valentin Sulzer, Scott G. Marquis, Robert Timms, Martin Robinson, and S. Jon Chapman. Python Battery Mathematical Modelling (PyBaMM). Journal of Open Research Software, 9(1):14, 2021. doi:10.5334/jors.309.\n", - "[15] Lars Ole Valøen and Jan N Reimers. Transport properties of lipf6-based li-ion battery electrolytes. Journal of The Electrochemical Society, 152(5):A882, 2005.\n", - "[16] Shanshan Xu, Kuan-Hung Chen, Neil P Dasgupta, Jason B Siegel, and Anna G Stefanopoulou. Evolution of dead lithium growth in lithium metal batteries: experimentally validated model of the apparent capacity loss. Journal of The Electrochemical Society, 166(14):A3456, 2019.\n", + "[10] Scott G. Marquis. Long-term degradation of lithium-ion batteries. PhD thesis, University of Oxford, 2020.\n", + "[11] Simon E. J. O'Kane, Ian D. Campbell, Mohamed W. J. Marzook, Gregory J. Offer, and Monica Marinescu. Physical origin of the differential voltage minimum associated with lithium plating in li-ion batteries. Journal of The Electrochemical Society, 167(9):090540, may 2020. URL: https://doi.org/10.1149/1945-7111/ab90ac, doi:10.1149/1945-7111/ab90ac.\n", + "[12] Simon E. J. O'Kane, Weilong Ai, Ganesh Madabattula, Diego Alonso-Alvarez, Robert Timms, Valentin Sulzer, Jacqueline Sophie Edge, Billy Wu, Gregory J. Offer, and Monica Marinescu. Lithium-ion battery degradation: how to model it. Phys. Chem. Chem. Phys., 24:7909-7922, 2022. URL: http://dx.doi.org/10.1039/D2CP00417H, doi:10.1039/D2CP00417H.\n", + "[13] Valentin Sulzer, Scott G. Marquis, Robert Timms, Martin Robinson, and S. Jon Chapman. Python Battery Mathematical Modelling (PyBaMM). Journal of Open Research Software, 9(1):14, 2021. doi:10.5334/jors.309.\n", + "[14] Lars Ole Valøen and Jan N Reimers. Transport properties of lipf6-based li-ion battery electrolytes. Journal of The Electrochemical Society, 152(5):A882, 2005.\n", + "[15] Shanshan Xu, Kuan-Hung Chen, Neil P Dasgupta, Jason B Siegel, and Anna G Stefanopoulou. Evolution of dead lithium growth in lithium metal batteries: experimentally validated model of the apparent capacity loss. Journal of The Electrochemical Society, 166(14):A3456, 2019.\n", "\n" ] } diff --git a/src/pybamm/CITATIONS.bib b/src/pybamm/CITATIONS.bib index 026dd79592..d289ed5dbf 100644 --- a/src/pybamm/CITATIONS.bib +++ b/src/pybamm/CITATIONS.bib @@ -379,17 +379,6 @@ @article{Lin2014 publisher={Elsevier} } -@article{Liu2017, - title={A Model of Concurrent Lithium Dendrite Growth, SEI Growth, SEI Penetration and Regrowth}, - author={Liu, Guangyu and Lu, Wei}, - journal={Journal of The Electrochemical Society}, - volume={164}, - number={9}, - pages={A1826--A1833}, - year={2017}, - publisher={The Electrochemical Society} -} - @article{Mackie1955, title={The diffusion of electrolytes in a cation-exchange resin membrane I. Theoretical}, author={Mackie, JS and Meares, P}, diff --git a/src/pybamm/input/parameters/lithium_ion/Ecker2015_graphite_halfcell.py b/src/pybamm/input/parameters/lithium_ion/Ecker2015_graphite_halfcell.py index 254fe3cdd4..f13d73ec46 100644 --- a/src/pybamm/input/parameters/lithium_ion/Ecker2015_graphite_halfcell.py +++ b/src/pybamm/input/parameters/lithium_ion/Ecker2015_graphite_halfcell.py @@ -444,7 +444,7 @@ def get_parameter_values(): "SEI lithium interstitial diffusivity [m2.s-1]": 1e-20, "Lithium interstitial reference concentration [mol.m-3]": 15.0, "Initial SEI concentration [mol.m-3]": 38.34, - "Initial SEI concentration on Li metal [mol.m-2]": 1.043e-04, # Liu and Lu 2017 + "Initial SEI concentration on Li metal [mol.m-2]": 5.216e-05, "EC initial concentration in electrolyte [mol.m-3]": 4541.0, "EC diffusivity [m2.s-1]": 2e-18, "SEI kinetic rate constant [m.s-1]": 1e-12, @@ -530,7 +530,6 @@ def get_parameter_values(): "Zhao2018", "Hales2019", "Xu2019", - "Liu2017", "Richardson2020", "OKane2020", ], diff --git a/src/pybamm/input/parameters/lithium_ion/OKane2022_graphite_SiOx_halfcell.py b/src/pybamm/input/parameters/lithium_ion/OKane2022_graphite_SiOx_halfcell.py index 2142203c2e..bacd4f376e 100644 --- a/src/pybamm/input/parameters/lithium_ion/OKane2022_graphite_SiOx_halfcell.py +++ b/src/pybamm/input/parameters/lithium_ion/OKane2022_graphite_SiOx_halfcell.py @@ -416,7 +416,7 @@ def get_parameter_values(): "SEI lithium interstitial diffusivity [m2.s-1]": 1e-20, "Lithium interstitial reference concentration [mol.m-3]": 15.0, "Initial SEI concentration [mol.m-3]": 20.03, - "Initial SEI concentration on Li metal [mol.m-2]": 1.043e-04, # Liu and Lu 2017 + "Initial SEI concentration on Li metal [mol.m-2]": 5.216e-05, "Initial SEI on cracks concentration [mol.m-3]": 0.002003, "EC initial concentration in electrolyte [mol.m-3]": 4541.0, "EC diffusivity [m2.s-1]": 2e-18, @@ -509,5 +509,5 @@ def get_parameter_values(): "Initial concentration in positive electrode [mol.m-3]": 29866.0, "Initial temperature [K]": 298.15, # citations - "citations": ["OKane2022", "OKane2020", "Chen2020", "Xu2019", "Liu2017"], + "citations": ["OKane2022", "OKane2020", "Chen2020", "Xu2019"], } diff --git a/src/pybamm/input/parameters/lithium_ion/Xu2019.py b/src/pybamm/input/parameters/lithium_ion/Xu2019.py index 67da394cbe..c3c94ab4e0 100644 --- a/src/pybamm/input/parameters/lithium_ion/Xu2019.py +++ b/src/pybamm/input/parameters/lithium_ion/Xu2019.py @@ -225,7 +225,7 @@ def get_parameter_values(): "SEI lithium interstitial diffusivity [m2.s-1]": 1e-20, "Lithium interstitial reference concentration [mol.m-3]": 15.0, "Initial SEI concentration [mol.m-3]": 38.34, - "Initial SEI concentration on Li metal [mol.m-2]": 1.043e-04, # Liu and Lu 2017 + "Initial SEI concentration on Li metal [mol.m-2]": 5.216e-05, "EC initial concentration in electrolyte [mol.m-3]": 4541.0, "EC diffusivity [m2.s-1]": 2e-18, "SEI kinetic rate constant [m.s-1]": 1e-12, @@ -288,5 +288,5 @@ def get_parameter_values(): "Initial concentration in positive electrode [mol.m-3]": 4631.0, "Initial temperature [K]": 298.15, # citations - "citations": ["Xu2019", "Liu2017", "Valoen2005"], + "citations": ["Xu2019", "Valoen2005"], }