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Recovering large-scale battery aging dataset with machine learning

Batteries are crucial for building a clean and sustainable society, and their performance is highly affected by aging status. Reliable battery health assessment, however, is currently restrained by limited access to sufficient aging data, resulting from not only complicated battery operations but al...

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Detalles Bibliográficos
Autores principales: Tang, Xiaopeng, Liu, Kailong, Li, Kang, Widanage, Widanalage Dhammika, Kendrick, Emma, Gao, Furong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8369168/
https://www.ncbi.nlm.nih.gov/pubmed/34430924
http://dx.doi.org/10.1016/j.patter.2021.100302