基于动态规划的E-REV能量管理策略研究
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  • 英文篇名:Energy management strategy for E-REV based on dynamic programming
  • 作者:席利贺 ; 张欣 ; 孙传扬
  • 英文作者:XI Lihe;ZHANG Xin;SUN Chuanyang;School of Mechanical,Electronic and Control Engineering,Beijing Jiaotong University;
  • 关键词:增程式电动汽车 ; 动态规划 ; 能量管理策略 ; 优化
  • 英文关键词:extended-range electric vehicle;;dynamic programming;;energy management strategy;;optimization
  • 中文刊名:BFJT
  • 英文刊名:Journal of Beijing Jiaotong University
  • 机构:北京交通大学机械与电子工程学院;
  • 出版日期:2016-10-15
  • 出版单位:北京交通大学学报
  • 年:2016
  • 期:v.40;No.189
  • 基金:中央高校基本科研业务费专项资金资助(2014YJS119)
  • 语种:中文;
  • 页:BFJT201605021
  • 页数:6
  • CN:05
  • ISSN:11-5258/U
  • 分类号:124-129
摘要
增程式电动汽车动力来源于增程器与动力电池,车辆运行过程中如何在两者之间分配需求功率,使得整车在行驶过程中燃油经济性最好,是增程式电动汽车能量管理策略核心的问题.提出一种基于动态规划的增程式电动汽车能量管理策略,运用动态规划对整个工况增程器与动力电池输出功率分配比例进行优化.欧洲标准行驶工况(NEDC)组合行驶工况的仿真结果表明:相比实车采用的恒温器式控制策略,基于动态规划的能量管理策略整车燃油经济性提高12.6%.
        Range-extender and battery are the main energy sources for Extended-Range Electric Vehicle(E-REV).In order to improve fuel economy,the power demand distribution between range-extender and batteryare the main problem for energy management strategy.This paper considers an energy management strategy for E-REV using dynamic programming,which optimize the power split between range extender and battery under whole driving cycle.Simulation results using combined New European Driving Cycle(NEDC)cycles show that the proposed control strategy has improved fuel economy about 12.6%compared to that of the thermostat control strategy.
引文
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