| Autor: |
Wu Xinju, Wang Junrui, Guo Teng, Wang Libao, Zhou Jingchao, Dai Li |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA). |
| DOI: |
10.1109/iciea51954.2021.9516396 |
| Popis: |
This paper studies the extended Kalman filter SOC estimation based on the hardware-in-the-loop simulation platform. The extended Kalman filter is used as the method of SOC estimation. The modeling strategy is based on the lithium battery equivalent circuit. Since the normal operation of the battery has strong nonlinearity, it is selected The general nonlinear equivalent circuit model fully considers the charge and discharge rate and the ambient temperature, and uses the Fourier function to effectively fit the model parameters; the extended Kalman filter algorithm is used to estimate the state of charge of the battery, and through MATLAB simulation, The Kalman filtering algorithm based on the empirical formula is compared to improve the estimation accuracy and verify the feasibility and reliability of the algorithm. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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