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Remaining useful life and state of health prediction for lithium batteries based on differential thermal voltammetry and a deep learning model
The accurate estimation of battery health conditions is a crucial challenge for development of battery management systems due to the degradation of cathode and anode materials. In this paper, a fusion of deep learning model and feature analysis methods is employed to approach accurate estimation for...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9758532/ https://www.ncbi.nlm.nih.gov/pubmed/36536681 http://dx.doi.org/10.1016/j.isci.2022.105638 |