期刊文献+

考虑道路识别的四驱电动汽车再生制动策略

Regenerative braking control strategy of four-wheel drive electric vehicle considering road identification
下载PDF
导出
摘要 为了充分利用路面附着条件分配再生制动力,提高制动能量回收率,根据双电动机四驱结构电动汽车复合制动系统的特点,对其制动能量回收控制策略进行了研究.分析了驱动轮与地面附着特性,设计了道路识别器来计算每个轮胎与当前路面之间的峰值附着系数,并使用模糊控制策略确定每个车轮与8种道路的滑移率和附着利用率的相似输入.根据双电动机外部特性的制动力分配关系,提出了使更多制动能量回馈给电池的策略.结果表明:制动强度为0.3时,能量回收率为65.55%,具有较高的回收效率. To make full use of road adhesion conditions for distributing regenerative braking force and improving braking energy recovery,the braking energy recovery control strategy of dual-motor four-drive electric vehicle composite braking system was investigated according to the braking system characteristics.A road identifier was designed to calculate the peak adhesion coefficient between each tire and the current road surface,and a fuzzy control strategy was used to determine the similar input of slip rate and adhesion utilization ratio between each wheel and 8 kinds of roads.According to the braking force distribution relationship of the external characteristics of dual motors,a strategy was proposed to make more braking energy return to the battery.The results show that when the braking intensity is 0.3,the energy recovery rate is 65.55%,which has high recovery efficiency.
作者 潘公宇 徐申 PAN Gongyu;XU Shen(School of Automotive and Traffic Engineering,Jiangsu University,Zhenjiang,Jiangsu 212013,China)
出处 《江苏大学学报(自然科学版)》 CAS 北大核心 2024年第1期1-7,共7页 Journal of Jiangsu University:Natural Science Edition
基金 国家自然科学基金资助面上项目(52072157)。
关键词 电动汽车 再生制动 复合制动 双电动机四驱 道路识别 模糊控制 能量回收 electric vehicle regenerative brake composite brake dual motor four-wheel drive road identification fuzzy control energy recovery
  • 相关文献

参考文献3

二级参考文献25

  • 1朱伟兴,陈垠昶.模糊PID控制在汽车ABS中的应用与仿真研究[J].江苏大学学报(自然科学版),2004,25(4):310-314. 被引量:32
  • 2曾小华,王庆年,李骏,王伟华,初亮.基于ADVISOR2002混合动力汽车控制策略模块开发[J].汽车工程,2004,26(4):394-396. 被引量:50
  • 3皇甫世汇,鲍祥英.汽车ABS的模糊预测控制策略研究[J].机电工程,2006,23(10):23-25. 被引量:3
  • 4余志生.汽车理论[M].北京:机械工业出版社,2010:140-150.
  • 5Eiji Nakamura,Masayuki Soga, Akira Sakai,et al.Develop ment of electronically controlled brake sysyem for hybrid vehicle[J]. SAE 2002-01-0300.
  • 6Yeo H,Kim H. Hardware in the loop simulation of regenerative braking for a hybrid electric vehicle[J]. Pro Instn Mech Engrs,Part D: J Automobile Engineering, 2002,216 : 855-664.
  • 7Yimin Gao, Liplng Chen,Mehrdad Ehsani. Investigation of the effectiveness of regenerative braking for EV and HEV[J]. SAE,1999-01-2910.
  • 8Wipke Keith B, Cuddy Matthew R, Burch Steven D. ADVISOR 2. 1: a user-friendly advanced powertrain simulation using a combined backward/forward approach[J]. IEEE Transactions on Vehicular Technology, 1999,48(6):1 751-1 761.
  • 9MAUER G F.A fuzzy logic controller for an ABS braking system[J].IEEE TRANSACTIONS ON FUZZY SYSTEMS,NOVEMBER,1995,3(4):381-388.
  • 10Austin L,Money D.Recent Advances in Antiloek Braking Systems and Traction Control Systems[J].Proc Instn Mech Engrs,2000,214(4):625-639.

共引文献31

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部