基于模糊控制的纯电动汽车再生制动策略的研究  

Study of regenerative braking strategy for electric vehicles based on fuzzy logic control

作　　者：路艳群 童亮[1,2] 陈勇[1,2] 刘尚[1] 谢明伟[1] LU Yanqun TONG Liang CHEN Yong LIU Shang XIE Mingwei(College of Mechanic and Electronic Engineering, Beijing Information Science ＆ Technology University ,Beijing 100192, China Beijing Collaborative Innovation Center of Electric Vehicles , Beijing 100192 , China)

机构地区：[1]北京信息科技大学机电工程学院,北京100192 [2]北京电动车辆协同创新中心,北京100192

出　　处：《中国科技论文》2017年第4期398-402,共5页China Sciencepaper

基　　金：国家自然科学基金资助项目(51275035);科技创新服务能力建设-科研基地-新能源汽车北京实验室(参与)(市级)(PXM2016_014224_000004)

摘　　要：为在保证制动安全的前提下提高再生制动能量的回收率,结合ECE法规和理想制动力曲线,提出了1种基于模糊控制的再生制动控制策略。设计的模糊控制器以电池荷电状态(state of charge,SOC)、车速v和制动强度z输入变量,再生制动力的比例k为输出变量。在MATLAB/SIMULINK中搭建制动控制策略模型,并嵌入到ADVISOR中进行仿真。仿真结果表明,所提出的策略有效提高了制动能量回收率。To guarantee the safety of braking and enhance the energy recovery efficiency, according to ECE regulations and curves of ideal braking force, a regenerative braking strategy based on fuzzy logic control is proposed in this paper. Fuzzy logic controller is designed, which has three inputs including batteries SOC（state of charge） , vehicle speed V and braking force Z, and takes the radio of regenerative K as output. Then we construct model of control strategy in MATLAB/SIMULINK, and embed the model into the platform of ADVISOR to run The simulation results indicate that energy recovery efficiency is increased.

关 键 词：纯电动汽车 再生制动 ADVISOR 模糊控制 

分 类 号：U469.72[机械工程—车辆工程]