摘要
Batteries are of paramount importance for the energy storage,consumption,and transportation in the current and future society.Recently machine learning(ML)has demonstrated success for improving lithium-ion technologies and beyond.This in-depth review aims to provide state-of-art achievements in the interdisciplinary field of ML and battery research and engineering,the battery informatics.We highlight a crucial hurdle in battery informatics,the availability of battery data,and explain the mitigation of the data scarcity challenge with a detailed review of recent achievements.This review is concluded with a perspective in this new but exciting field.
