电动汽车动力电池SOC估算分析  

SOC Estimation and Analysis of Electric Vehicle Power Battery

作　　者：张丽凤[1] ZHANG Li-feng(Shanxi Traffic Vocational and Technical College,Taiyuan 030031,China)

机构地区：[1]山西交通职业技术学院,太原030031

出　　处：《晋城职业技术学院学报》2018年第2期59-61,共3页Journal of Jincheng Institute of Technology

摘　　要：电动汽车动力电池荷电状态(State Of Charge,SOC)的准确估算能提高整车性能和电池使用效率,方便驾驶员及时准确地了解电池剩余电量和电动汽车续航里程。本文基于等效电路的模型,应用扩展卡尔曼滤波法(EKF),以磷酸铁锂电池作为研究对象,验证该方法估算SOC的准确性。实验结果表明:用EKF法估算SOC,能将误差控制在5%以内,保持较高的精度。The accurate estimation of the State Of Charge(SOC)of EV can improve the vehicle perfor?mance and the battery usage efficiency,which helps drivers timely and accurately understand the remaining battery capacity and EV mileage.Based on the equivalent circuit model and taking the lithium iron phosphate battery as the research object,the research applies the extended Kalman filter(EKF)to verify the accuracy of SOC estimation.The experimental results show that the error can be controlled within 5%and the accuracy can be maintained high by using EKF method to estimate SOC.

关 键 词：电动汽车 电池 SOC估算 

分 类 号：U469.7[机械工程—车辆工程]