Remaining useful life and state of health prediction for lithium batteries based on differential thermal voltammetry and a deep learning model

The accurate estimation of battery health conditions is a crucial challenge for development of battery management systems due to the degradation of cathode and anode materials. In this paper, a fusion of deep learning model and feature analysis methods is employed to approach accurate estimation for...

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Detalles Bibliográficos
Autores principales: Zhang, Lisheng, Wang, Wentao, Yu, Hanqing, Zhang, Zheng, Yang, Xianbin, Liang, Fengwei, Li, Shen, Yang, Shichun, Liu, Xinhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9758532/
https://www.ncbi.nlm.nih.gov/pubmed/36536681
http://dx.doi.org/10.1016/j.isci.2022.105638

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9758532/
https://www.ncbi.nlm.nih.gov/pubmed/36536681
http://dx.doi.org/10.1016/j.isci.2022.105638

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