纯电动汽车的复合制动系统多目标控制研究  

Research on Multiobjective Control of Compound Braking System for Pure Electric Vehicle

作　　者：邢志伟 毕凤荣[1,2] 马小强[3] 马腾 吕振鹏[1] 黄宇 Xing Zhiwei;Bi Fengrong;Ma Xiaoqiang;Ma Teng;LüZhenpeng;Huang Yu(School of Mechanical Engineering,Tianjin University,Tianjin 300072,China;State Key Laboratory of Engines,Tianjin University,Tianjin 300072,China;Tianjin Internal Combustion Engines Research Institute,Tianjin 300072,China)

机构地区：[1]天津大学机械工程学院,天津300072 [2]天津大学内燃机燃烧学国家重点实验室,天津300072 [3]天津内燃机研究所,天津300072

出　　处：《机械科学与技术》2020年第12期1805-1812,共8页Mechanical Science and Technology for Aerospace Engineering

基　　金：国家重点研发计划项目(面向重型载货车用燃料电池发动机集成与控制——燃料电池重型载货车整车集成);天津市自然科学基金一般项目(18JCYBJC20000)资助。

摘　　要：以电动汽车的复合制动系统作为研究对象,设计并优化了其转矩分配控制策略。为了使汽车在制动时能同时满足制动稳定性和提高制动回收率的多目标需求,采用了带精英策略的多目标优化算法(NSGA-Ⅱ)进行优化求解,针对其帕累托解集的决策过程提出基于模糊控制的改造理想解法选择最优方案,利用Simulink-Cruise联合仿真的方式进行了电动汽车的模拟计算。仿真结果验证了所提决策方法相较于其他决策方法更加符合实际的制动需求。In this paper, the control strategy of torque distribution is designed and optimized based on the composite braking systesm of electric vehicle. In order to meet the multiobjective requiremaents of braking stability and improve brake energy recovery rate at the same time, a multiobjective optimization algorithm with elite strategy(NSGA-Ⅱ) is adopted in this paper to solve the problem. At the same time, according to the dsecision making process of Pareto solution set, an improved ideal solution based on fuzzy control is proposed to select the optimal solution. Finally, the simulation on composite braking of electric vehicle is carried out based on Simulink-Cruise joint simulation, and the results verify the proposed decision method is more realistic than the other decision methods.

关 键 词：电动汽车 复合制动 多目标优化 帕累托解集 模糊控制 决策 联合仿真 

分 类 号：U469.72[机械工程—车辆工程] U461.3[交通运输工程—载运工具运用工程]