Abstract: Range Extend Electric Vehicle（REEV） improvements in fuel consumption and emissions directly depend on the operating point of the Auxiliary Power Unit（APU）. To make REEV as efficient as possible, an thermostat control strategy has been proposed in this paper. The APU operating points are optimized by using muti-objective optimization with genetic algorithm. Simulation model is built in AVL CRUISE embed Matlab. The simulation results perform over two driving cycles of NEDC and FTP75 and show excellent improvement on fuel consumption and emissions.

Key words: Range Extend Electric Vehicle（REEV）, auxiliary power unit, multi-objective optimization with genetic algorithm

摘要： 针对增程式电动汽车恒功率控制策略中发动机工作点难以选择的问题，运用一种基于多目标遗传算法的优化方法，以百公里油耗和排放指标为优化目标，利用AVL CRUISE和Matlab/Simulink软件联合建立增程式电动汽车整车动态性能仿真分析模型，针对NEDC工况和FTP75工况进行恒功率控制策略下发动机工作点优化，仿真结果显示，优化后的发动机工作点有效改善了百公里油耗和尾气排放量。该优化方法可以减少设计者调试和选择电动汽车增程器发动机工作点的时间，具有良好的实用价值。

关键词: 增程式电动汽车, 增程器, 多目标遗传算法