湖南大学学报（自然科学版）2011，Vol.38Issue(8)：19-23,5.
混合动力镍氢动力电池参数辨识
Parameter Identification of MH/Ni Power Battery in Hybrid Electric Vehicle
摘要
Abstract
To realize the accurate estimation of battery SOC and increase the precision of battery model, by inoculating standard battery model from equivalent circuit model PNGV battery test manual and based on instrumental variable technique and least squares technique, an online hybrid power metal hydride electric batteries parameters estimation algorithm was proposed to establish battery model using MATLB/SIMULINK. Simulation analysis has shown that the maximal error of battery model voltage is 4.2 V, the mean error is 0.57 V, and the maximal error of the accurate estimate of SOC is 0.048. The mean error is 0. 01l. It can follow the true data well.关键词
电动汽车/电池/参数辨识/辅助变量法Key words
electric vehicle/ nickel/metal battery} parameter identification/ instrumental variable method分类
信息技术与安全科学引用本文复制引用
朱浩,钱承,谢煜冰,李磊..混合动力镍氢动力电池参数辨识[J].湖南大学学报（自然科学版）,2011,38(8):19-23,5.基金项目
湖南省教育厅优秀青年基金资助项目(08B042) （08B042）
