【摘要】 介绍了在电动汽车前向仿真中所采用的驾驶员模型的建模方法 .针对仿真车速与需求车速之间的偏差使用 PI控制器进行修正而又难以整定 P,I系数的问题 ,提出了采用模糊控制器对车速偏差进行修正的方法 .按此方法对驾驶员模型进行建模 ,在电动汽车仿真软件 HEVSim中进行仿真测试 ,在实现仿真要求的前提下 ,仿真车速对需求车速的跟踪情况优于 PI控制器 .该驾驶员模型具有较好的鲁棒性 ,适用于各种类型的电动汽车仿真更多还原

【Abstract】 This paper introduce a method on driver’s modeling in forward-facing simulation of electric vehicle.To counter the problem that it’s difficult to obtain P and I coefficients when correcting the error between demand speed and simulation speed by using PI controller, a fuzzy logic controller is presented. Using this method to build a driver’s model and to run it in the electric vehicle simulation software-HEVSim. On the basis of achieving demand of simulation, the fuzzy logic controller is better than PI controller to the vehicle speed track. This driver’s model has good robustness and can be used in many different kinds of electric vehicle simulation.更多还原