State of Charge Estimation of Lithium-Ion Batteries Based on an Improved Sage-Husa Extended Kalman Filter Algorithm
An improved Sage-Husa extended Kalman filter (SHEKF) algorithm is intended to improve the accuracy and stability of SOC prediction. In this paper, two different exponential weighting algorithms are used to adaptively select the forgetting factor for adaptive noise estimation. Moreover, the OCV-SOC c...
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| Principais autores: | , , , , , , |
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| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
MDPI AG
2022-11-01
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| 叢編: | World Electric Vehicle Journal |
| 主題: | |
| 在線閱讀: | https://www.mdpi.com/2032-6653/13/11/220 |
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