中文摘要：

针对复杂工况时纯电动汽车磷酸铁锂（LiFeP04）电池内部化学反应复杂、纯电路机理模型难以准确地进行荷电状态（SOC）估计的问题,使用动力学电池模型（KiBaM）和二阶RC等效电路模型相结合的混合模型,充分考虑到电池放电过程中存在恢复效应和电流倍率效应,最终使一个模型能同时捕捉到动态的非线性容量效应和电路参数特征,从而获得更加准确的SOC估计和电池运行时间预测,并通过试验进一步证明了其准确性较高。

英文摘要：

When electric vehicles are driving in complex condition,internal reactions of lithium iron phosphate（LiFePO4） battery are very complex so that pure circuit battery model cannot describe estimation of state of charge（SOC） accu- rately.Thus,this article uses a hybrid model,which is based on a combination of the kinetic battery model（KiBaM） and second-order RC equivalent circuit model,fully considering recovery effect and rate capacity effect to capture the dyna- mic nonlinear capacity effect and characteristics of electrical parameters.Subsequently, it ean obtain more accurate es- timation of SOC and runtime prediction of the battery.And experiment further proves the high accuracy of the method.