摘要
介绍了能够克服纯电动汽车电池低能量密度、高价格瓶颈的增程式电动汽车(Extended-Range Electric Vehicle,EREV)控制策略,分析了驾驶员典型的驾驶情况统计信息,设计了动力系统参数。基于Cruise和Matlab/Simulink联合仿真平台,进行恒功率和经济性(ECO)两种控制策略的仿真,3种不同道路工况的仿真表明,ECO控制策略在动力性、燃油经济性与CO2排放性三个方面均优于恒功率控制策略。
Control strategies were presented for Extended-Range Electric Vehicle （EREV） in which was a solution to overcome batteries low energy density and high price limitations. the paper, Statistical information of driver＇s typical driving situations was analyzed, power-train parameters were designed. Based on Cruise and Matlab/Simulink platform, fixed power and economy （ECO） strategies were analyzed. By comparing dynamic performance, fuel eeonomy and CO2 emissions, ECO control strategy is better than fixed power strategy.
出处
《微电机》
2015年第12期84-87,共4页
Micromotors
基金
国家自然基金
智能四轮独立驱动轮毂电动汽车自适应转向研究(51305190)
关键词
增程式电动汽车
控制策略
仿真
extended-range electric vehicle
control strategy
simulation
