Nature Communications (Apr 2020)

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

  • Yunwei Zhang,
  • Qiaochu Tang,
  • Yao Zhang,
  • Jiabin Wang,
  • Ulrich Stimming,
  • Alpha A. Lee

DOI
https://doi.org/10.1038/s41467-020-15235-7
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 6

Abstract

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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.