Machine learning-based battery life prediction and smart charging optimization for renewable energy storage systems
The fast development of renewable energy integration has amplified the demand for reliable, efficient, and intelligent energy storage solutions. Lithium-ion batteries take over current applications, however achieving accurate prediction of the state of charge (SoC), state of health (SoH), and optimi...
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| Główni autorzy: | , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Elsevier
2026-02-01
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| Seria: | Future Batteries |
| Hasła przedmiotowe: | |
| Dostęp online: | http://www.sciencedirect.com/science/article/pii/S2950264026000080 |
| Etykiety: |
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