基于模糊控制的纯电汽车再生制动控制策略研究

Research on Regenerative Braking Control Strategy of Pure Electric Vehicle Based on Fuzzy Control

为了提高纯电动客车在电动机再生制动的能量回收效率,文中提出了一种基于模糊控制的纯电动汽车再生制动控制策略优化方案:以荷电状态SOC、制动强度和车速为输入量,电动机制动比例K为输出量。首先,对前后轮制动力进行第一次分配,其次对前轮主动制动器和电动机力进行模糊控制器的设计,最后将再生制动优化算法编成Simulink模型,并导入Cruise软件进行模拟仿真。结果表明,该优化提高了电动机制动的占比,减小了峰值电流,并提高了续航能力,有效提高了能量回收效率。

In order to improve the energy recovery efficiency of pure electric vehicle in motor regenerative braking,this paper proposes an optimization scheme of pure electric vehicle regenerative braking control strategy based on fuzzy control which takes the SOC,braking strength and vehicle speed as input,and takes the motor braking ratio K as output.Firstly,the braking force of the front and rear wheels is distributed for the first time.Secondly,the fuzzy controller is designed for the front wheel active brake and motor force.Finally,the regenerative braking optimization algorithm is compiled into Simulink model and imported into Cruise software for simulation.The results show that the optimization improves the proportion of motor braking,reduces the peak current,improves the endurance,and effectively improves the energy recovery efficiency.