轻型纯电动汽车再生制动控制策略研究与仿真  

Research and Simulation of Regenerative Braking Control Strategy for Light Pure Electric Vehicle

作　　者：孙崇昆 雷良育 王建航[2] 范零峰 童成鹏 Sun Chongkun;Lei Liangyu;Wang Jianhang;Fan Lingfeng;Tong Chengpeng(Zhejiang Zhaofeng Mechanical and Electronic Co.,Ltd.,Hangzhou City,Zhejiang Province 311232,China;Zhejiang A&F University,Hangzhou City,Zhejiang Province 311300,China)

机构地区：[1]浙江兆丰机电股份有限公司,浙江省杭州市311232 [2]浙江农林大学工程学院,浙江省杭州市311300

出　　处：《农业装备与车辆工程》2021年第7期78-83,共6页Agricultural Equipment & Vehicle Engineering

摘　　要：为纯电动汽车设计一种再生制动控制方式,以增加车辆续航能力。对纯电动汽车的整车动力学和电机进行数学建模,对仿真软件的再生制动模型进行分析,并建立适用于纯电动汽车的再生制动模糊控制策略,通过遗传算法对再生制动模糊控制策略参数进行优化。对缺省电动汽车模型进行二次开发与优化,并嵌入优化后的再生制动控制策略,设定仿真循环工况,在保证车辆的安全与稳定性的前提下进行仿真实验,验证了本文所设计的GA优化后的再生制动模糊控制策略能量回收效率明显优于缺省控制策略、优化前的再生制动模糊控制策略,优化了车辆的续航能力。A regenerative braking control method is designed for pure electric vehicles to increase their endurance.The mathematical modeling of vehicle dynamics and motor of pure electric vehicle was carried out,the regenerative braking model of simulation software was analyzed,the regenerative braking fuzzy control strategy suitable for pure electric vehicle was established,and the parameters of the regenerative braking fuzzy control strategy were optimized by genetic algorithm.Secondary development and optimization of default EV model were carried out,and the optimized regenerative braking control strategy was embedded.The simulation loop condition was set up,and the vehicle simulation experiment was carried out on the premise of guaranteeing the safety and stability of the vehicle.It was verified that the energy recovery efficiency of the GA optimized regenerative braking fuzzy control strategy is obviously better than the default control strategy and the regenerative braking fuzzy control strategy before optimization.It improved the range of the vehicle.

关 键 词：纯电动汽车 再生制动 模糊控制 遗传算法 ADVISOR 

分 类 号：U469.72[机械工程—车辆工程]