电动汽车再生制动控制策略建模与仿真

Modeling and Simulation of Regenerative Braking Control Strategy for Electric Vehicles

通过再生制动的方式能够显著提升汽车的里程总数。基于电动汽车整车和电机的数学模型,分析车辆再生制动的影响因素,以及仿真软件中的缺省再生制动模型。结合分析建立适用于电动汽车的再生制动模糊控制器与模糊控制策略模型,将其加入仿真软件电动汽车模型中优化控制策略,使用CYC_NEDC为仿真循环工况,以保证车辆安全稳定为前提,验证了设计的轻型轮毂电动汽车再生制动控制策略与缺省电动汽车再生制动控制策略相比,优化了再生制动系统,延长了试验车辆的续航里程。

Regenerative braking can significantly increase the vehicle mileage. Based on the mathematical models of electric vehicle and motor, the influencing factors of vehicle regenerative braking and the default regenerative braking model in the simulation software are analyzed. Combining with the analysis, a regenerative braking fuzzy controller and fuzzy control strategy model are established and added into the simulation software electric vehicle model to optimize the control strategy.CYC_NEDC is used as the simulation cycle working condition. On the premise of ensuring vehicle safety and stability, the designed regenerative braking control strategy for light hub electric vehicle is verified to optimize the regenerative braking system and prolong the endurance mileage of the test vehicle compared with the default regenerative braking control strategy for electric vehicle.