A Data-Driven Framework for Lithium-Ion Battery Remaining Useful Life Prediction Using CNN and Machine Learning Models
Accurate prediction of the Remaining Useful Life (RUL) of lithium-ion batteries is essential for improving the reliability, safety, and maintenance planning of electric vehicles and energy storage systems. However, battery degradation is a complex and nonlinear process influenced by multiple operati...
Gorde:
| Egile Nagusiak: | , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
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MDPI AG
2026-04-01
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| Saila: | Batteries |
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| Sarrera elektronikoa: | https://www.mdpi.com/2313-0105/12/4/135 |
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