Battery Charge Curve Prediction via Feature Extraction and Supervised Machine Learning

Real‐time onboard state monitoring and estimation of a battery over its lifetime is indispensable for the safe and durable operation of battery‐powered devices. In this study, a methodology to predict the entire constant‐current cycling curve with limited input information that can be collected in a...

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Detalles Bibliográficos
Autores principales: Su, Laisuo, Zhang, Shuyan, McGaughey, Alan J. H., Reeja‐Jayan, B., Manthiram, Arumugam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10502833/
https://www.ncbi.nlm.nih.gov/pubmed/37394730
http://dx.doi.org/10.1002/advs.202301737

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10502833/
https://www.ncbi.nlm.nih.gov/pubmed/37394730
http://dx.doi.org/10.1002/advs.202301737

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