Abstract
With the continuous development of new energy technologies, the service life and safety of power lithium battery are becoming more and more important. Accurately estimating the state of charge (SOC) of lithium battery are of great significance for extending battery life and ensuring battery safety. The current methods of SOC estimation do not taking into account of environmental factors. Aiming to solving this problem, an SOC estimation model basing on temperature compensation coefficient is proposed. First, this paper establishes a thevenin equivalent circuit model and introduce the compensation coefficient of temperature. Then, the open circuit voltage method and extended Kalman filter (EKF) are combined for modeling. Finally, matlab is used for simulation. The simulation results show that the temperature compensation coefficient introduced in this paper improves the adaptability and robustness of the model, and the estimation error of SOC is less than 3% under low temperature conditions, which effectively improves the estimation accuracy of SOC.
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Li, Z., Jiao, J., Liang, J., Li, Y. (2022). State of Charge Estimation of Lithium Batteries Based on Extended Kalman Filter and Temperature Compensation. In: Xie, Q., Zhao, L., Li, K., Yadav, A., Wang, L. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 89. Springer, Cham. https://doi.org/10.1007/978-3-030-89698-0_17
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DOI: https://doi.org/10.1007/978-3-030-89698-0_17
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