A physics-informed neural network-based method for predicting degradation trajectories and remaining useful life of supercapacitors

Supercapacitors are widely used in transportation and renewable energy fields due to their high power density, stable cycling performance, and rapid charge–discharge capabilities. To ensure efficient applications of supercapacitors, accurately predicting their degradation trajectories and remaining...

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Detalhes bibliográficos

Principais autores:	Lixin E, Jun Wang, Ruixin Yang, Chenxu Wang, Hailong Li, Rui Xiong
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2025-06-01
Colecção:	Green Energy and Intelligent Transportation
Assuntos:	Supercapacitor Physics-informed neural network Degradation trajectories Remaining useful life
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2773153725000416
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