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双电机驱动电动汽车再生制动控制策略研究
引用本文:严运兵,章健宇,许小伟,黄梁.双电机驱动电动汽车再生制动控制策略研究[J].汽车技术,2019(6):1-7.
作者姓名:严运兵  章健宇  许小伟  黄梁
作者单位:武汉科技大学
基金项目:湖北省技术创新专项(重大项目)(2018AAA060);中央引导地方科技发展专项(2018ZYYD027);武汉科技大学大学生科技创新基金项目(17ZRA171)
摘    要:以能量回收最大化为目标,提出一种双电机驱动电动汽车再生制动模糊控制策略,通过分析再生制动原理,考虑ECE法规、理想制动力分配曲线、电机、电池功率等约束,利用模糊控制理论确定电机制动所占比例,在保证制动方向稳定的前提下,合理分配前、后轴制动力,协调机电复合制动力。利用MATLAB/Simulink对控制策略进行不同工况下的仿真和硬件在环试验验证,结果表明:所设计的控制策略可实现机电复合制动系统的协调工作,有效延长续驶里程。

关 键 词:再生制动  能量回收最大化  模糊控制  再生制动力分配  硬件在环

Research on Regenerative Braking Control Strategy of Dual-Motor Driven Electric Vehicle
Yan Yunbing,Zhang Jianyu,Xu Xiaowei,Huang Liang.Research on Regenerative Braking Control Strategy of Dual-Motor Driven Electric Vehicle[J].Automobile Technology,2019(6):1-7.
Authors:Yan Yunbing  Zhang Jianyu  Xu Xiaowei  Huang Liang
Institution:(Wuhan University of Science and Technology, Wuhan 430065)
Abstract:To maximize energy recovery, a fuzzy control strategy for regenerative braking of dual- motor driven electric vehicle is proposed. By analyzing the principle of regenerative braking, taking into account constraints, such as ECE regulations, ideal braking force distribution curves, motors, and battery power, using the fuzzy control theory to determine the proportion of motor braking. Under the premise of ensuring the stability of the braking direction, the front- rear axle braking force and the coordinated electromechanical composite braking force are reasonably distributed. Simulation and hardware-in-loop test verification are made to the control strategy under different conditions with MATLAB/ Simulink. The results show that the designed control strategy can realize the coordination of the electromechanical composite braking system, effectively extending the driving range.
Keywords:Regenerative braking  Maximum energy recovery  Fuzzy control  Regenerative braking force distribution  Hardware in the loop
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