华南理工大学学报(自然科学版) ›› 2016, Vol. 44 ›› Issue (12): 81-88.doi: 10.3969/j.issn.1000-565X.2016.12.012

• 交通与运输工程 • 上一篇    下一篇

基于动态规划的自适应等效最小燃油消耗策略

苗强 孔凡敏 孙强 白书战 李国祥   

  1. 山东大学 能源与动力工程学院,山东 济南 250061
  • 收稿日期:2016-06-21 出版日期:2016-12-25 发布日期:2016-11-01
  • 通信作者: 苗强(1988-),男,博士生,主要从事混合动力汽车能量管理策略研究. E-mail:miaoq_sdu@163.com
  • 作者简介:苗强(1988-),男,博士生,主要从事混合动力汽车能量管理策略研究.
  • 基金资助:
    山东省重点科技研发计划项目(2015GSF117013);重庆大学机械传动国家重点实验室开放课题(SKLMT-KFKT-201512)

Adaptive Equivalent Consumption Minimization Strategy Based on Dynamic Programming

MIAO Qiang KONG Fan-min SUN Qiang BAI Shu-zhan LI Guo-xiang   

  1. School of Energy and Power Engineering,Shandong University,Jinan 250061,Shandong,China
  • Received:2016-06-21 Online:2016-12-25 Published:2016-11-01
  • Contact: 苗强(1988-),男,博士生,主要从事混合动力汽车能量管理策略研究. E-mail:miaoq_sdu@163.com
  • About author:苗强(1988-),男,博士生,主要从事混合动力汽车能量管理策略研究.
  • Supported by:
    Supported by the Key Scientific and Technological Research and Development Projects of Shandong Province (2015GSF117013)

摘要: 针对等效燃油消耗最小策略(ECMS)中最优等效因子对工况依赖性较大的问题, 以单轴并联式混合动力汽车为研究对象,以动态规划算法(DP)获得的特定行驶工况下最 优控制结果为基础,逆推得到 ECMS 的最优等效因子;拟合出平均最优等效因子随电量维 持水平的变化规律,以此为基础设计了一种自适应等效燃油消耗最小策略. 在中国典型城 市工况下的仿真结果表明:对于任意初始 SOC 值,文中策略能够较好地维持电量平衡;在 SOC 稳定之后的油耗为 828 g,与 DP 对比仅有 0. 8% 的误差. 多种不同工况仿真结果表 明,SOC 变化规律与中国典型城市工况仿真结果一致,在 SOC 稳定之后,单个循环工况的 油耗相对 DP 仅增加了 0. 1% ~0. 2%.

关键词: 混合动力汽车, 等效燃油消耗最小策略, 动态规划, 电量维持水平

Abstract: Aiming at the problem that the optimum equivalent factor relies heavily on the driving cycle in the equiva- lent consumption minimization strategy (ECMS),by taking a single-axis parallel hybrid electric vehicle as the re- search object and based on the optimal control results obtained through the dynamic programming (DP) in a special driving cycle,an instantaneous optimal equivalent factor in the framework of the ECMS is obtained in a reverse way.Then,the change rules of the average optimal equivalent factor with the charge-sustaining level are fitted.On this basis,an adaptive equivalent consumption minimization strategy is designed.The simulation results of a typical urban driving cycle in China show that,for an arbitrary initial SOC,the designed strategy can stabilize the battery capacity in a fixed value,and that the fuel consumption is 828g after stabilizing the SOC,which indicates an error of only 0. 8% in comparison with that obtained through the DP.The simulation results of other kinds of driving cy- cles show that the change rules of the SOC in the other cycles accord well with those in the typical urban driving cy- cle,and after stabilizing the SOC,the fuel consumption increases only by 0. 1% ~0. 2% in comparison with that obtained through the DP in a single cycle.

Key words: hybrid vehicles, equivalent consumption minimization strategy, dynamic programming, charge-sus- taining level