Lithium-ion battery state-of-charge estimation based on a dual extended Kalman filter and BPNN correction
It is challenging for a battery management system to estimate the State-Of-Charge (SOC) of batteries. A novel model-based method, using a Dual Extended Kalman Filtering algorithm (DEKF) and Back Propagation Neural Network (BPNN), is proposed to estimate and correct lithium-ion batteries. The results...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Taylor & Francis Group
2022-12-01
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| Col·lecció: | Connection Science |
| Matèries: | |
| Accés en línia: | http://dx.doi.org/10.1080/09540091.2022.2118675 |
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