Machine learning-based state of charge estimation: A comparison between CatBoost model and C-BLSTM-AE model
The State of Charge (SOC) is a key metric within a Lithium-ion battery management system (BMS). Accurate SOC estimation is essential for enhancing battery longevity and ensuring user safety, making it a critical component of an effective BMS. Although SOC estimation has become an active research are...
| Hoofdauteurs: | , , , |
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| Formaat: | Artikel |
| Taal: | English |
| Gepubliceerd in: |
Elsevier
2025-06-01
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| Reeks: | Machine Learning with Applications |
| Onderwerpen: | |
| Online toegang: | http://www.sciencedirect.com/science/article/pii/S266682702500012X |