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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...
Autores principales: | Tang, Xiaopeng, Liu, Kailong, Li, Kang, Widanage, Widanalage Dhammika, Kendrick, Emma, Gao, Furong |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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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 |
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