A generic battery-cycling optimization framework with learned sampling and early stopping strategies

Battery optimization is challenging due to the huge cost and time required to evaluate different configurations in experiments or simulations. Optimizing the cycling performance is especially costly since battery cycling is extremely time consuming. Here, we introduce an optimization framework build...

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Detalles Bibliográficos
Autores principales: Deng, Changyu, Kim, Andrew, Lu, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9278511/
https://www.ncbi.nlm.nih.gov/pubmed/35845833
http://dx.doi.org/10.1016/j.patter.2022.100531

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9278511/
https://www.ncbi.nlm.nih.gov/pubmed/35845833
http://dx.doi.org/10.1016/j.patter.2022.100531

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