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.

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Bibliographic Details
Main Authors: Yunwei Zhang, Qiaochu Tang, Yao Zhang, Jiabin Wang, Ulrich Stimming, Alpha A. Lee
Format: article
Language:EN
Published: Nature Portfolio 2020
Subjects:
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Online Access:https://doaj.org/article/93fa48473c6748549ce982ee1772b3cf
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