A Novel Hybrid Modeling Framework Integrating Feature Engineering for Battery Remaining Useful Life Prediction
Accurate remaining useful life (RUL) prediction is critical for the reliable operation of lithium-ion batteries. Traditional data-driven methods often suffer from parameter redundancy and error accumulation in state prediction. This paper proposes a hybrid data-driven RUL prediction framework based...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI AG
2026-06-01
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| Serie: | Mathematics |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/2227-7390/14/12/2214 |
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