Please visit github repository for the lastest updates.
My main goal is to integrate my MG4 in Node-red to use car's data with my automation workflow. Moreover, SAIC's ISmart mobile app is limited that why I have developed this dashboard.
- Support of Multi-language supported (default: French)
- Dashboard with car's components status
- Localization of my car on a map (daily, weekly, monthly and custom journeys)
- Compute charge cost and duration using electricity pricing limplementation (EDF in France)
- Override Saic MQTT gateway configuration
- Charts for:
- Tyres pressure
- Battery voltage
- Consumption + cost
- Temperature
- Battery capacity
- Charge calendar
- Remote actions
- set remote temperature, A/C mode, target SOC
- enable A/C, lock, boot ...
- Manage MQTT SAIC Gateway instance.
These features are not includes in theses flows but they have been integrated:
- Alerting (opened windows or doors at night, tyres pressure ...)
- Closing automatically car at night
- Starting automatically A/C
- Integration with Google Home
Ok Google MG4 -> Your car is in the avenue Champs-Elyseés, 7 near Mc Donalds restaurant
...
I use Saic MQTT gateway project to query data from MG's car.
Dashboard integrates:
- MQTT input to query data from local Moquitto
- nodered-dashboard-ui providing ui components
- node-red-contrib-web-worldmap as map provider
- node-red-contrib-ui-svg to integrate MG top view from official MG website
- EDF pricing data file to compute cost
- Persistance in SQLite database (in beta, to remove for production)
No warrantly, No support, No security requirements
- Install Mosquitto
- Install from source the latest python version
# Slow process
https://raw.githubusercontent.com/tvdsluijs/sh-python-installer/main/python.sh | sudo bash -s 3.xx.x
- Install Saic MQTT gateway
# Default folder: /home/dietpi/.node-red/saic/
mkdir /home/dietpi/.node-red/
git clone --depth 1 https://github.com/SAIC-iSmart-API/saic-python-mqtt-gateway.git
mv saic-python-mqtt-gateway saic
cd saic
pip3 install -r requirements.txt
- Launch manually SAIC Gateway for testing
# Launch gateway
python mqtt_gateway.py -m tcp://localhost:1883 -u "${saic email}" -p "${saic password}" --mqtt-user "mosquitto" --mqtt-password "${mqtt password}"
- Use MQTT Explorer to get path of data (ex: saic/xxx/vehicles/yyy)
- xxx: account ID
- yyy: vehicule ID
- Install Nodejs
dietpi-software install 9
# or
dietpi-software reinstall 9
- Install NodeRed
- Enable Saving context data to the file-system
- Import flow.json:
Dash-MG4
- Import flow_gateway.json:
MG4 Gateway
to manage SAIC Gateway instance in NodeRed - Configuration:
- open SAICMQTTFx/credentialsSAIC node:
server: https://tap-eu.soimt.com (for europe)
gateway: https://gateway-eu.soimt.com (for europe)
email: (email address of your MG ISmart account)
password: (password of your MG ISmart account)
ABRP_TOKEN: (bxxxx-xxx-xxx-xx-xxxx see ABRP integration)
ABRP_API_KEY: (xxx-xx-xx-xxx-xxxxx see ABRP integration)
GATEWAY_FOLDER: (absolute path of your gateway installation folder)
VIN: (vin of your vehicle)
- open SAICMQTTFx/credentialMQTTFx node:
MQTT_URL: (xxxxxx:1883)
MQTT_USER: (mqtt user)
MQTT_PASSWORD: (mqtt password)
MQTT_CLIENTID: (mqtt client id)
- Deploy them
- Watch Saic MQTT gateway outputs & see debug trace in Nodered
- you have to see before MQTT gateway events
- after that MQTT input in NodeRed will integrates data
- Open http://${ip}:1880/ui/
This flow is provided as it.
Feel free:
- to improve it
- to fix some bugs
- to share your work ;)
Disseminating knowledge is the human duty, sharing it about so that all can benefit.
- Edit saicInternationalFx subflow
- Duplicate actionFR and rename actionXX
- Translate everything in XX
- Implement electricity functions
- Edit label node and add XX in global.get("saic").language_supported (ex: XX=ES for spanish)
-
Test, test and test
-
Share with me actionXX && global.get("saic").language_supported contents
-
I will release a new version of this dashboard and you are the official maintainer of this language
-
Well done !
GNU GPLv3
Hi @rsenden
"The dashboard shows that the windows are open, but I checked and they are closed ;). Any idea why it's giving incorrect window status"
Excluding bugs in dashboard, sometimes downloaded data from API is temporaly false. After a new event, data has been fixed.
Try to compare vehicule state in ISmart and my dashboard.
In my case, some
"According to image shown on the dashboard, it's an MG 2022 EH32 X3 NFZ/PBC" MG4 but API is common for all SAIC cars but not tested
"Any chance the dashboard could be shown in English, or support multiple languages?"
I have spent many hours on it to cover my use case. I don't have time to develop extra features.
I'm opened about conversation to integrate multilanguage pull request.
If you want, we can open a conversation about it. I would freeze my dashboard a couple of days and share the last version to make easier internationalization integration.
To my mind, It could be interesting to: