东北大学学报（自然科学版）

东北大学学报:自然科学版 ›› 2016, Vol. 37 ›› Issue (12): 1750-1755.DOI: 10.12068/j.issn.1005-3026.2016.12.017

• 机械工程 • 上一篇    下一篇

插电式并联混合动力汽车再生制动控制策略

陈泽宇， 杨英， 王新超， 吕明   

  1. (东北大学 机械工程与自动化学院， 辽宁 沈阳110819)
  • 收稿日期:2015-07-15 修回日期:2015-07-15 出版日期:2016-12-15 发布日期:2016-12-23
  • 通讯作者: 陈泽宇
  • 作者简介:陈泽宇(1982-)，男，山东莱阳人，东北大学讲师，博士； 杨英(1962-)，女，内蒙古海拉尔人，东北大学教授.
  • 基金资助:
    中央高校基本科研业务费专项资金资助项目(N130403014); 汽车仿真与控制国家重点实验室开放基金资助项目(20121116).

Control Strategy of Regenerative Braking for Plug-in Parallel Hybrid Electric Vehicles

CHEN Ze-yu， YANG Ying， WANG Xin-chao， LYU Ming   

  1. School of Mechanical Engineering & Automation， Northeastern University， Shenyang 110819， China.
  • Received:2015-07-15 Revised:2015-07-15 Online:2016-12-15 Published:2016-12-23
  • Contact: CHEN Ze-yu
  • About author:-
  • Supported by:
    -

RichHTML

0

PDF (PC)

1517

摘要： 再生制动是混合动力汽车区别于传统汽车的技术特点，是提高车辆燃油经济性的重要措施之一.以一种轴间力矩耦合的插电式并联混合动力汽车为研究对象，从再生制动分配算法的影响因素入手，提出了一种带有模糊控制的混合动力汽车再生制动能量管理策略.所设计的控制策略主要针对两个层面的控制决策，顶层是轴间制动力矩的分配决策，底层是再生制动电机所在的后轴力矩在摩擦制动与再生制动之间的分配决策.采用多种典型车辆行驶工况对所提出的模糊控制策略进行仿真研究.结果表明，所提出的模糊控制策略能够明显改善车辆的能量回收效果，与传统理想制动力分配曲线控制策略相比，能量回收最多可提高23.44%.

关键词: 混合动力汽车, 力矩耦合, 再生制动, 模糊控制, 能量管理

Abstract: Different from traditional internal combustion engine vehicles， hybrid electric vehicles (HEVs) have regenerative braking capability to improve fuel economy. Taking a plug-in parallel HEV with axles torque coupling as the research object， the influences of regenerative braking were analyzed. A regenerative braking control strategy using fuzzy control was then proposed. The presented strategy was to make two-layers control decision. The braking torque was allocated between the front axle and rear axle in the top layer， while the algorithm in bottom layer split the rear axle braking torque between mechanical braking and electric braking. The strategy was evaluated in a simulation study using several typical driving cycles. The results show that the as-proposed fuzzy control strategy can significantly improve the effect of energy recovery up to 23.44%， compared with that of the traditional ideal braking force distribution curve strategy.

Key words: hybrid electric vehicle, torque coupling, regenerative braking, fuzzy control, energy management

中图分类号: