Digital Dashboard for Volvo Penta TAMD40

This is the ESP32 part of the project to digitize Volvo Penta TAMD40 marine engine 🛥️ It is sized to fit with 2 TAMD engines (portside and starboard) but can easily be restricted to only one.

Note

• This code is also suitable for others Volvo Penta TAMD/TMD/AQAD engines but haven't been tested
• The hardware configuration allows you to continue using the analog dashboard without any disruption

1. FEATURES

1.1 DIGITAL DASHBOARD

• Coolant temperature
• Oil pressure
• Voltage
• RPM gauge
• Fuel consumption
• Windlass chain counter (persistent)
• Fuel tank level
• Fresh water tank level
• Exhaust temperature
• Bilge temperature
• Bilge water level
• Motion sensor (roll, pitch, yaw)
• Autopilot
• Rudder Angle

1.2 ESP32 SPECIAL FEATURES

• INA3221 auto sleep mode (power down / energy saving)
• MPU6050 auto calibration (persistent offset)
• Global features enabling / disabling by checkbox on the SensESP UI
• Run-time configuration (Wifi AP / webserver)

Warning

• The run-time configuration is stored in the ESP32's flash memory and overrides the compile-time values
• This feature is very useful because it allows you to change any value and restart the ESP32 to apply the new configuration without any coding
• Since there is no 'ls -all' or 'dir' command, be careful when adding a new configuration path or using an existing one as it can create conflicts and unexpected behaviour
• Values MUST be calibrated before using at sea

2. WHAT YOU NEED

2.1 MUST-HAVE

• ESP32 Wroom32
• INA3221 volt sensors (x4)
• DS18B20 temperature sensors (x3)
• PC817 rpm sensors (x2)
• MPU6050 or MPU9250 motion sensor (x1)
• Reed switch with magnet from a cycling computer wired (e.g Sigma) or burglar alarm (x1)
• HSTS016L Hall effect current sensor 3.3V / 100A (x1)
• Wifi Access Point (AP) where your ESP32 will connect to
• Visual Code Studio with PlatformIO plugin
• Git Cli (>= 2.74.2)
• Signal K Server running on you local network with plugins (KIP, ...)
• SensESP SDK (>= 3.1.0)

2.2 NICE TO HAVE

• Raspberry Pi (4B or 5) - Signal K server, InfluxDB and Grafana
• InfluxDB OSS (>= 2.7.10) - Store Signal K values
• Grafana OSS (>= 11.3.0) - Visualize the InfluxDB data

3. HARDWARE SETUP

3.1 ENGINE SENSORS

3.2 WINDLASS CHAIN COUNTER

Caution

• The ESP32 MUST be connected to the same 12V electrical circuit as your boat
• If not, the sensors HAVE TO to be connected to ground on your boat's 12V circuit otherwise you will get inaccurate and irrelevant readings

4. HOW TO INSTALL

1. Edit the library dependencies in platformio.ini :

lib_deps = SignalK/SensESP@^3.1.0
            SensESP/OneWire@^3.0.2
            tinyu-zhao/INA3221@^0.0.1
            electroniccats/MPU6050@^1.4.1
            wh1terabbithu/ADS1115-Driver@^1.0.2

2. Adjust the build_flags in platformio.ini :

build_flags = 
  -D LED_BUILTIN=2
  -D CORE_DEBUG_LEVEL=ARDUHAL_LOG_LEVEL_VERBOSE
  -D TAG='"Arduino"'
  -D USE_ESP_IDF_LOG

3. Download this code or fetch the repository GitHub > kinyo666/Capteurs_ESP32

Important

Some key elements HAVE TO be customized to suit your configuration :

• Replace the 1-wire addresses with those of your DS18B20 sensors in the source code
• Check that the pin number matches with your physical setup
• Global constants with the _NB suffix are used to define the number of elements in each array, change them carefully to suit your needs (e.g 1 or 2 engines)
• Values MUST be calibrated before using at sea

4. Build the firmware and upload it to your ESP32 :

• Visual Studio > Terminal > Run Build Task PlatformIO: Build (or use the checkmark icon at the bottom)
• Visual Studio > Terminal > Run Task > PlatformIO: Upload (or use the right arrow icon at the bottom)

5. Configure your ESP32 module

• Connect to the ESP32 Wifi Access Point (default : SSID = “SensESP”, Password = “thisisfine”) with your smartphone or laptop
• Configure the SSID / Password for the Raspberry Pi Wifi connection (or your router for testing purpose)
• Configure the IP address / port of Signal K server (default : mDNS, port 3000)
• Save the configuration
• Launch SignalK on your Raspberry Pi (or PC for testing purpose), go to Security > Access Request to modify the Authentication Timeout (set it to NEVER) of your ESP32 and click on Approve
• Check whether your ESP32 is now showing up in the connected devices list

Tip

If your ESP32 is up but unable to connect to the Signal K server, check if a firewall or antivirus program is blocking the connection. On Windows, you may need to disable Microsoft Defender on your local private network to allow the ESP32 to use mDNS / server discovery