Kalman算法在纯电动汽车SOC估算中的应用误差分析  

Error Analysis of Kalman Algorithm in Its Application to SOC Estimation in PEV

作　　者：温家鹏[1] 姜久春[1] 文锋[1] 张维戈[1] 

机构地区：[1]北京交通大学电气工程学院,北京100044

出　　处：《汽车工程》2010年第3期188-192,227,共6页Automotive Engineering

摘　　要：针对纯电动汽车电池组的工作状态和输出特性,分析了模型参数的变化对Kalman算法估算精度的影响。指出了纯电动汽车应用Kalman滤波算法估算SOC应考虑的因素,并结合电池模型参数的变化提出了Kal-man方程修正方案。最后通过电池的城市工况模拟试验,验证了分析的正确和可行性。Based on the operating conditions and output characteristics of battery pack in pure electric vehicle（PEV）,the effects of model parameters variation on the estimation accuracy of Kalman filter algorithm are analyzed.The factors that should be considered in applying Kalman filter algorithm to SOC estimation are pointed out,and the correction schemes of Kalman equations according to the changes in battery model parameters are proposed.Finally the simulation test with FUDS cycle verifies the correctness and feasibility of the analyses.

关 键 词：纯电动汽车 Kalman滤波算法 电池组 SOC估算 模型参数 

分 类 号：U469.72[机械工程—车辆工程]