Sunwoda Electronic Co., Ltd, and Tsinghua Berkeley Shenzhen Institute (TBSI) generate the TBSI Sunwoda Battery Dataset. We open-source this dataset to inspire more data-driven novel material verification, battery management research and applications.

Battery charging schedule optimization to minimize lithium-ion battery degradation.

The project analyzes battery cycling data to predict degradation patterns and performance metrics using both deep learning (LSTM) and traditional machine learning (XGBoost) approaches. The implementation enables accurate estimation of battery health, which is crucial for battery management systems in various applications.

Within this repository you will find the outcome of my internship at Siemens Energy R&D, Gurgaon. You will find an end-to-end code solution for modelling battery degradation under randomised usage along with a documentation!