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Realistic fault detection of li-ion battery via dynamical deep learning

Accurate evaluation of Li-ion battery (LiB) safety conditions can reduce unexpected cell failures, facilitate battery deployment, and promote low-carbon economies. Despite the recent progress in artificial intelligence, anomaly detection methods are not customized for or validated in realistic batte...

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Detalles Bibliográficos
Autores principales:	Zhang, Jingzhao, Wang, Yanan, Jiang, Benben, He, Haowei, Huang, Shaobo, Wang, Chen, Zhang, Yang, Han, Xuebing, Guo, Dongxu, He, Guannan, Ouyang, Minggao
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10517941/ https://www.ncbi.nlm.nih.gov/pubmed/37741826 http://dx.doi.org/10.1038/s41467-023-41226-5

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