Battery State of Charge (SoC) Estimation

Overview

This repository contains the code, models, and dataset used for calculating the State of Charge (SoC) of battery cells. Our approach integrates advanced machine learning techniques to build robust predictive models for accurate battery monitoring.

The repository is structured to help you:

• Calculate SoC and SoH values from raw battery data.
• Build and train machine learning models based on the provided datasets.

Features

• SoC and SoH Estimation: Code for the estimation of the State of Charge and State of Health values.
• Model Building: Step-by-step process of how we built the models to predict SoC values, using state-of-the-art deep learning techniques.
• Pre-trained Models: Access to pre-trained models that can be used directly or fine-tuned on other datasets.
• Datasets: Battery data used for model training and validation for SOC estimation is available at this link.