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为了实现再生制动力与机械制动力在驱动轮和从动轮之间的优化分配,在保证车辆制动安全的同时提高能量回收效率,将汽车理想制动力分配I曲线与模糊算法相结合,提出一种基于模糊控制的电动汽车机电复合制动力分配策略。设计了电动汽车再生制动力分配模糊控制器,根据车辆工况与理想制动力分配I曲线,计算前后轮上分别应加载的机电复合制动力大小。建立了电动汽车制动系统动力学仿真模型,在此基础上进行仿真分析。最后利用Advisor仿真软件对该分配策略进行回收能量效率测试。结果表明,该分配策略既能保证汽车前后轮的制动力分配按照理想制动力I曲线分布,确保汽车的制动安全;又能有效地实现再生制动能量回收,提高电动汽车的续驶里程。
In order to realize the optimal distribution of regenerative braking force and mechanical braking force between driving wheel and driven wheel, the safety of vehicle braking is improved and the energy recovery efficiency is improved. The ideal braking force distribution I curve of automobile is combined with the fuzzy algorithm to propose a Hybrid electromechanical braking force distribution strategy for electric vehicles based on fuzzy control. A fuzzy controller for the regenerative braking force distribution of electric vehicle is designed. According to the I curve of the vehicle operating conditions and the ideal braking force distribution, the composite electromechanical braking force to be loaded on the front and rear wheels respectively is calculated. The dynamic simulation model of electric vehicle brake system is established, and on this basis, the simulation analysis is carried out. Finally, Advisor simulation software is used to test the energy efficiency of the distribution strategy. The results show that the distribution strategy can not only ensure that the distribution of braking force of the front and rear wheels of the vehicle is distributed according to the ideal braking force I curve, ensure the braking safety of the vehicle, but also effectively recover the regenerative braking energy and improve the driving range of the electric vehicle.