Predicting the state of charge and health of batteries using data-driven machine learning
Published in Nature Machine Intelligence (2020)
TL
TL;DR
How machine learning methods and high-throughput experimentation provide a data-driven approach to this problem are discussed, and challenges in building models which provide fast and accurate battery state predictions are highlighted.