电动汽车再生制动系统的建模与仿真

为了提高纯电动汽车的再生制动能量回收率,本文采用模糊逻辑控制策略.通过建立Mamdani型模糊控制器,确定了再生制动力和机械制动力之间的比例分配.同时考虑到制动的安全性和稳定性,提出了前后轮之间的制动力按照理想制动力分布曲线分配.在Matlab/Simulink环境下搭建模糊逻辑控制策略的模型,并把该模型嵌入到ADVISOR仿真环境中,结合典型道路循环工况进行仿真实验,实验结果表明,采用模糊逻辑控制策略之后,电池SOC提升了9.3％左右,整车系统的效率提升了7.2％,再生制动的效率提升了36.7％,这表明模糊逻辑控制策略能更好地实现能量的回收利用,延长电动汽车的续驶里程.

Modeling and Simulation of Regenerative Braking System in Electric Vehicle

In order to improve regenerative braking energy recovery rate of electric vehicle （EV）, the fuzzy logic control strategy is adopted in this paper. The Mamdani fuzzy controller is set up, which determines the propor- tion distribution between regenerative braking force and mechanical braking force. Meanwhile, considering the se- curity and stability of braking, the braking force between front and rear wheels is distributed according to the opti- mum braking force distribution curve. The model based on fuzzy logic control strategy is established under Matlab/ Simulink environment and embedded into simulation software ADVISOR, simulation experiments are carried out with typical driving cycle. The simulation results show that, with fuzzy logic control strategy, the battery~ SOC rises by around 9.3%, the overall vehicle system efficiency by 36.7% ,which indicates that the fuzzy logic control endurance mileage of EV. rises by 7.2% and the regenerative braking efficiency rises strategy can realize energy recovery better and prolong the