An attention-enhanced multi-scale feature fusion framework for accurate joint prediction of battery SOH and RUL
Precise prediction of state-of-health (SOH) and remaining useful life (RUL) for lithium-ion batteries (LIBs) is pivotal to optimizing the battery management system (BMS) and advancing sustainable energy systems, yet remains challenging due to local steep drops and capacity regeneration phenomenon. T...
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| Principais autores: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2026-06-01
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| coleção: | Energy Reports |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S2352484726003197 |
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