增程式电动汽车控制策略的优化

Optimization of the Control Strategy for Range Extended Electric Vehicle

介绍了增程式电动汽车的特点和结构,讨论了其工作模式和控制策略。以系统循环损失能量最小为优化目标,设计了带精英策略的非支配遗传基因算法(NSGA-II)的外部优化程序,采用仿真软件ADVISOR对增程式电动汽车控制策略参数进行优化。结果表明,采用所提出的优化算法找到了一组全局优化的控制参数,使整车系统循环损失能量得到有效降低。

The features and structure of range extended electric vehicles（ REEV） are presented and its operating modes and control strategies are discussed. The external optimization program of non-dominated sorting genetic algorithm（ NSGA-II） is developed and an optimization on the control parameters of REEV is conducted by using simulation software ADVISOR,with minimizing the energy loss of system in a driving cycle as optimization objective. The results show that by using the optimization algorithm proposed,a set of control parameters is found,effectively reducing the energy loss of system.