Abstract：The state-of-power (SOP) of Li-ion batteries is an important parameter for security control and energy recovery of electric vehicles.The current SOP estimation algorithm at room temperature is inaccurate, which may cause the excessive current at high or low temperature to affect the security and cycle life of the battery.Therefore, the capacity and resistance of the Li-ion battery are tested at different temperature to build the capacity-temperature model and resistance-temperature model for more accurate prediction of the Li-ion parameters.Then an algorithm with multi-parameters constrained based on extend Kalman filter (EKF) is used to estimate the SOP of the Li-ion battery at different temperatures.The method can adapt to different temperature conditions and realize high estimation accuracy.The simulation and experimental results verify the theoretical analysis.
刘新天,何耀,曾国建,郑昕昕. 考虑温度影响的锂电池功率状态估计[J]. 电工技术学报, 2016, 31(13): 155-163.
Liu Xintian, He Yao ,Zeng Guojian ,Zheng Xinxin. State-of-Power Estimation for Li-ion Battery Considering the Effect of Temperature. Transactions of China Electrotechnical Society, 2016, 31(13): 155-163.
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2016, Vol. 31 
