Improved Battery Cycle Life Prediction Using a Hybrid Data‐Driven Model Incorporating Linear Support Vector Regression and Gaussian

The ability to accurately predict lithium‐ion battery life‐time already at an early stage of battery usage is critical for ensuring safe operation, accelerating technology development, and enabling battery second‐life applications. Many models are unable to effectively predict battery life‐time at e...

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Detalles Bibliográficos
Autores principales: Alipour, Mohammad, Tavallaey, Shiva Sander, Andersson, Anna M., Brandell, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9313841/
https://www.ncbi.nlm.nih.gov/pubmed/35075749
http://dx.doi.org/10.1002/cphc.202100829

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9313841/
https://www.ncbi.nlm.nih.gov/pubmed/35075749
http://dx.doi.org/10.1002/cphc.202100829

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