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Data-driven prediction of battery failure for electric vehicles
Despite great progress in battery safety modeling, accurately predicting the evolution of multiphysics systems is extremely challenging. The question on how to ensure safety of billions of automotive batteries during their lifetime remains unanswered. In this study, we overcome the challenge by deve...
Autores principales: | Zhao, Jingyuan, Ling, Heping, Wang, Junbin, Burke, Andrew F., Lian, Yubo |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9010759/ https://www.ncbi.nlm.nih.gov/pubmed/35434566 http://dx.doi.org/10.1016/j.isci.2022.104172 |
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