Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning

Forecasting the state of health and remaining useful life of batteries is a challenge that limits technologies such as electric vehicles. Here, the authors build an accurate battery performance forecasting system using machine learning.

Bibliographic Details
Main Authors: Yunwei Zhang, Qiaochu Tang, Yao Zhang, Jiabin Wang, Ulrich Stimming, Alpha A. Lee
Format: Article
Language:English
Published: Nature Publishing Group 2020-04-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-020-15235-7