自带恢复效应的锂电池在途SOC估计方法  

The Estimation Method of SOC on the Way Based on Lithium Battery Contained the Recovery Effect

作　　者：钮勤民 刘雄飞[1] 胡志坤[1] 

机构地区：[1]中南大学物理与电子学院,湖南长沙410083

出　　处：《电力电子技术》2016年第8期61-64,共4页Power Electronics

基　　金：国家自然科学基金(61490702)~~

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。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.

关 键 词：锂电池 电动汽车 恢复效应 混合模型 荷电状态 

分 类 号：TM911[电气工程—电力电子与电力传动]