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A method for predicting the State of Charge (SOC), the State of Energy (SOE), and ultimately the range prediction using a sequence of neural network models. The technique predicts the range of the vehicle by taking into account the state of the battery, the state of the vehicle, the driving style, and the road conditions. The system is deployed …
This example shows how uncertainty in the battery discharge current measurement leads to uncertainty in the battery state of charge (SoC) estimation for different SoC estimation methods.
A comprehensive simulation platform integrating vehicle dynamics, environment emulation, body controls, and battery management for holistic testing and validation of automated vehicles.
This repository contains code for estimating the State of Charge (SoC) of LG HG2 batteries using Fully Connected Network (FCN), Convolutional Neural Network (CNN), and Long Short-Term Memory (LSTM) models along with optuna based hyperparameter tuning.
Simulink model of a battery management system for electric vehicles, featuring SoC calculation, fault detection, voltage and temperature monitoring, and state management.