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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...
Autores principales: | Zhang, Yunwei, Tang, Qiaochu, Zhang, Yao, Wang, Jiabin, Stimming, Ulrich, Lee, Alpha A. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7136228/ https://www.ncbi.nlm.nih.gov/pubmed/32249782 http://dx.doi.org/10.1038/s41467-020-15235-7 |
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