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Evaluating the feasibility of batteries for second-life applications using machine learning

This article presents a combination of machine learning techniques to enable prompt evaluation of retired electric vehicle batteries as to either retain those batteries for a second-life application and extend their operation beyond the original and first intent or send them to recycling facilities....

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Detalles Bibliográficos
Autores principales: Takahashi, Aki, Allam, Anirudh, Onori, Simona
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10148029/
https://www.ncbi.nlm.nih.gov/pubmed/37128548
http://dx.doi.org/10.1016/j.isci.2023.106547