针对锂离子电池SOC(荷电状态)难以估算的问题,通过对电池建立等效的Thevenin电路模型,对不同时刻的SOC的模型参数进行拟合得到动态的模型参数,在Matlab中借助Simulink建立仿真模型,采用模块化结构,建立基于卡尔曼滤波算法的电池SOC估算系统;利用测得的电池电压电流,仿真系统可直接估算出实时的电池SOC,与实际的电池SOC对比,误差保持在2.5％以内,表明该方法可以有效地估计电池的SOC,对于锂离子电池在实际应用的容量估算有着重要意义.%In terms of the problem that the SOC (State of Charge) of lithium ion battery is difficult to estimate,conduct fitting toward the model parameters of SOC at different moments to get dynamic model parameters through establishing equivalent Thevenin circuit model toward the battery.Establish simulation model in Matlab with the help of Simulink and apply modular construction to establish battery SOC estimation system based on Kalman filtering algorithm;the simulation system can directly estimate the real-time battery SOC with the measured battery voltage and current.Compare with the actual battery SOC and if the error maintains within 2.5 ％,it indicates that the method can effectively estimate the battery SOC and it is significant for the capacity estimation of lithium ion battery in practical application.
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