Lithium-Ion Battery SOH Prediction Method Based on ICEEMDAN+FC-BiLSTM
Driven by the rapid promotion of new energy technologies, lithium-ion batteries have found broad applications. Accurate prediction of their state of health (SOH) plays a critical role in ensuring safe and reliable battery management. This study presents a hybrid SOH prediction method for lithium-ion...
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| Principais autores: | , , , , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
MDPI AG
2025-10-01
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| Serier: | Energies |
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| Online adgang: | https://www.mdpi.com/1996-1073/18/21/5617 |
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