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...

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Detalles Bibliográficos
Autores principales: Zhao, Jingyuan, Ling, Heping, Wang, Junbin, Burke, Andrew F., Lian, Yubo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
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

Internet

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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