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

Forecasting the state of health and remaining useful life of Li-ion batteries is an unsolved challenge that limits technologies such as consumer electronics and electric vehicles. Here, we build an accurate battery forecasting system by combining electrochemical impedance spectroscopy (EIS)—a real-t...

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Bibliografiske detaljer
Udgivet i:Nat Commun
Main Authors: Zhang, Yunwei, Tang, Qiaochu, Zhang, Yao, Wang, Jiabin, Stimming, Ulrich, Lee, Alpha A.
Format: Artigo
Sprog:Inglês
Udgivet: Nature Publishing Group UK 2020
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7136228/
https://ncbi.nlm.nih.gov/pubmed/32249782
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-020-15235-7
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