基于遗传算法的混合动力汽车前向仿真驾驶员模型参数优化

Optimization of Driver’s Model Parameters for Facing-forward Simulation of HEV Based on Genetic Algorithm

建立了采用PI控制的混合动力汽车前向仿真驾驶员模型,针对传统方法难以整定PI控制器控制参数的问题,提出了基于遗传算法优化PI控制器控制参数的方法,给出了遗传算法的目标函数及其实现过程.仿真结果表明,基于遗传算法优化控制参数的驾驶员模型,能够使得实际车速很好地跟踪循环工况目标车速.

A driver＇ s model using PI controller for facing - forward simulation of hybrid electric vehicle （HEV） is built. To counter the problem that it＇s difficult to obtain P and I coefficients using traditional method, a method which is based on genetic algorithm （GA） is proposed to optimize the parameters of the model while the objective function of genetic algorithm and the way to realize the method is presented. Simulation results demonstrate the driver＇s model whose parameters are optimized with genetic algorithm can make the actual velocity of the vehicle follow the objective velocity of the cycle rather precisely.