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...
Kaydedildi:
| Asıl Yazarlar: | , , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Elsevier
2026-06-01
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| Seri Bilgileri: | Energy Reports |
| Konular: | |
| Online Erişim: | http://www.sciencedirect.com/science/article/pii/S2352484726003197 |
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