Intelligent Battery Management System For Electric Vehicles
We aim to design an Intelligent BMS for Electric Vehicles employing various Neural Network (NN) Models. A virtual BMS will be deployed at the server end to train NN models for efficient State of Parameters (SoX) estimation. We will periodically map NN models from server to the user end. The NN models must be updated whenever the measurement has a considerable bias. We also consider location change, vehicle type, driving behaviour, and environment change as input features.
