修正RC模型混合动力车用氢镍蓄电池SOC预测  

SOC estimation of Ni/MH battery for hybrid electric vehicle based on modified RC model

作　　者：马兹林[1] 冒晓建[1] 王俊席[1] 唐航波[1] 卓斌[1] 

机构地区：[1]上海交通大学汽车电子研究所,上海200240

出　　处：《电源技术》2012年第7期966-968,共3页Chinese Journal of Power Sources

基　　金：国家"863"项目(2009AA11A101)

摘　　要：根据混合动力汽车动力蓄电池瞬时脉冲大电流充放电工作特点,提出了一种能够实时动态估计氢镍蓄电池SOC的新方法。结合蓄电池当前状态和历史使用因素共同确定蓄电池初始SOC,并利用修正的RC模型,通过合理分配权值综合运用电量累计法和开路电压法进行蓄电池的SOC预测,电量累计考虑充放电效率和寿命因素影响,开路电压利用卡尔曼滤波法求解。最后,通过台驾试验验证算法的准确性,结果表明,SOC预测误差可控制在6%以内,满足混合动力汽车工作要求。On the basis of the pulse charge and discharge characters of the nickel-metal hydrogen battery used for hybrid electric vehicle （HEV）, a real-time and dynamic SOC estimate strategy of Ni/MH battery was presented in this paper. The initial SOC of the battery was determined by the current status and the historical factors together and the intemal resistance of the battery was taken into account. Then the SOC of the battery was jointly resolved by the column accumulation and open-circuit voltage based on the modified RC model, in which the self-discharge, the efficiency of charge and discharge and the health status of the battery were considered, and the Kalman filter was applied to resolve the open-circuit voltage. Finally, the validity of the SOC estimate strategy was tested by several experiments, and the results show the estimate error is less than 6%, which is fit for the request of the HEV well.

关 键 词：混合动力汽车 氢镍蓄电池 SOC 修正的RC模型 卡尔曼滤波 

分 类 号：TM912[电气工程—电力电子与电力传动]