汽车工程 ›› 2019, Vol. 41 ›› Issue (7): 750-756.doi: 10.19562/j.chinasae.qcgc.2019.07.004

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燃料电池汽车行驶里程自适应ECMS策略

林歆悠, 夏玉田, 李雪凡, 林海波   

  1. 福州大学机械工程及自动化学院,福州 350002
  • 出版日期:2019-07-25 发布日期:2019-07-30
  • 通讯作者: 林歆悠,博士,E-mail:linxinyoou@fzu.edu.cn
  • 基金资助:
    国家自然科学基金(51505086)资助

Equivalent Consumption Minimization Strategy Adaptive to Various Driving Ranges for Fuel Cell Vehicles

Lin Xinyou, Xia Yutian, Li Xuefan ,Lin Haibo   

  1. College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350002
  • Online:2019-07-25 Published:2019-07-30

摘要: 为提高插电式燃料电池汽车的经济性,基于等效氢消耗最小策略,通过等效系数S与行驶里程的自适应规则调整目标价值函数,以控制动力电池电能消耗速率,同时引入参考SOC进一步修正等效系数S,使行驶过程中动力电池尽可能多地获取电网电能,同时避免动力电池过度放电,从而实现控制策略对行驶里程的自适应性。通过Matlab/Simulink建立插电式燃料电池汽车仿真模型,仿真结果表明,当行驶里程超过纯电动行驶里程后,该策略能控制动力电池SOC在行驶结束时到达目标值。硬件在环对比试验的结果表明,采用里程自适应的ECMS策略时,总里程为100,150和200 km的氢气消耗量分别比基于CD-CS的ECMS策略降低8.75%,14.21%和16.63%。

关键词: 燃料电池汽车, 能量管理策略, 等效消耗最小化策略, 自适应控制

Abstract: In order to enhance the fuel economy of plug-in fuel cell vehicles, the electric energy consumption rate of the traction battery is controlled by adjusting the objective cost function through the adaptive rule of equivalent coefficient S and driving range based on the equivalent hydrogen consumption minimization strategy (ECMS). Meanwhile the reference SOC is introduced to modify the equivalent coefficient for enabling the traction battery get as much electric energy as possible from power grid in the course of driving, and avoiding the excessive discharge of the battery, thus to achieve the adaptiveness of the control strategy to various driving ranges. Then the simulation model for the plug-in fuel cell vehicle is established with Matlab/Simulink and the results of simulation show that when the mileage exceeds the pure electric driving range, the strategy can control the traction battery with its SOC reaching the target value at the end of driving course. The results of contrastive hardware-in-the-loop test indicate that the hydrogen consumptions in the total mileage of 100,150 and 200 km with mileage adaptive ECMS are 8.75%, 14.21% and 16.63% respectively less than that with CD-CS-based ECMS

Key words: fuel cell vehicle, energy management strategy, ECMS, adaptive control