摘要
为了使纯电动汽车在制动过程中满足制动安全和充分回收制动能量的需求以及保持一定的制动舒适度,引入最优前端个体系数对NSGA-Ⅱ多目标遗传优化算法进行改进,并将解集筛选模块应用到制动控制器的设计中,随后嵌入到ADVISOR中进行仿真测试。实验结果表明,提出的控制策略可以有效保证足够的制动安全性,在能量回收效率和制动舒适性方面较标准的NSGA-Ⅱ算法优化的控制策略均有提高。
In order to make that the electric vehicle can meet the requirements of braking safety and sufficient energy recovery in braking process,and maintain a certain braking comfort level,an optimal front-end individual coefficient is introduced to im-prove the multi-objective genetic algorithm based on non?dominated sorting genetic algorithm?Ⅱ(NSGA-Ⅱ).The solution set screening module is applied to the design of braking controller,and embedded into ADVISOR for simulation test.The experi-mental results show that the control strategy can ensure the sufficient braking safety,and its energy recovery efficiency and braking comfort level are improved than those of control strategy based on standard NSGA-Ⅱalgorithm.
作者
潘盛辉
许平
宋仲达
吴甜甜
PAN Shenghui;XU Ping;SONG Zhongda;WU Tiantian(Guangxi University of Science and Technology,Liuzhou 545006,China;Liuzhou No.1 Vocational and Technical School,Liuzhou 545007,China)
出处
《现代电子技术》
北大核心
2018年第7期97-101,共5页
Modern Electronics Technique
基金
广西高校科学技术研究项目(KY2015ZD069)
广西研究生教育创新计划项目(YCSZ2015211)
广西科技大学研究生教育创新计划项目(GKYC201625)~~
关键词
纯电动汽车
机电复合制动系统
NSGA-Ⅱ
制动力分配
控制策略
制动安全
electric vehicle
electro.mechanical hybrid braking system
NSGA-Ⅱ
braking force distribution
control strategy
braking safety
