四驱电动轮汽车模糊逻辑控制的再生制动系统  

Performance on Regenerative Braking System of 4WD Electric Vehicle Based on Fuzzy Logic Control

作　　者：刘晋霞 王莉 刘宗锋 LIU Jin-xia;WANG Li;LIU Zong-feng(College of Transportation Shandong University of Science and Technology,Shandong Qingdao 266590,China)

机构地区：[1]山东科技大学交通学院,山东青岛266590

出　　处：《机械设计与制造》2021年第12期164-168,共5页Machinery Design & Manufacture

基　　金：山东省重点研发计划项目(2016GGX105008)。

摘　　要：为提高电动轮汽车的续驶里程,综合考虑轮毂电机输出特性、电池SOC及制动强度对再生制动系统的影响,提出一种模糊逻辑控制的再生制动控制策略。在根据制动强度对理想制动力曲线、ECE法规线进行计算,合理分配前、后轮电机制动力和制动器制动力的基础上,将由MATLAB/Simulink搭建的模糊逻辑控制的制动力分配模型嵌入到ADVISOR搭建的整车模型中,并在CYC;DDS工况下,与ADVISOR自带查表法控制策略进行仿真对比。结果表明,所提的模糊逻辑控制策略相对查表法控制策略使电动轮汽车的行驶时间增加了12.2%,滞后38s出现速度差,且速度差明显减小。In order to improve the driving range of electric wheel vehicle,a regenerative braking control strategy based on fuzzy logic control is proposed. The control strategy comprehensively considers the influence of the in-wheel motor output characteristics,battery SOC and braking intensity on the regenerative braking system. On the basis of calculating the ideal braking force curve and ECE regulation line according to the braking intensity,and properly distributing the front and rear wheel motor and brake braking force,the braking force distribution model based on fuzzy logic control is built by MATLAB/Simulink and embedded into the vehicle model built by ADVISOR for simulation. Under the CYC_UDDS condition,it is compared with the table look-up control strategy of ADVISOR. The results show that the proposed fuzzy logic control strategy increases the driving time of the electric wheel vehicle by 12.2%,the speed difference can be generated by 38 s later,and the speed difference is significantly reduced.

关 键 词：电动轮汽车 再生制动 模糊逻辑控制 电机与制动器制动力分配 能量回收 

分 类 号：TH16[机械工程—机械制造及自动化] U463.51[机械工程—车辆工程]