汽车工程 ›› 2024, Vol. 46 ›› Issue (12): 2314-2328.doi: 10.19562/j.chinasae.qcgc.2024.12.017

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融合交通信息的燃料电池汽车能量管理研究进展

王亚雄1(),范依莹1,欧凯1,魏中宝2,张久俊3()   

  1. 1.福州大学机械工程及自动化学院,福州 350108
    2.北京理工大学机械与车辆学院,北京 100081
    3.福州大学材料科学与工程学院,福州 350108
  • 收稿日期:2024-04-14 修回日期:2024-06-27 出版日期:2024-12-25 发布日期:2024-12-20
  • 通讯作者: 王亚雄,张久俊 E-mail:yxwang@fzu.edu.cn;jiujun.zhang@i.shu.edu.cn
  • 基金资助:
    国家自然科学基金面上项目(52375045);福州市区域科技重大项目(2022-Q-010)

Research Progress on Traffic Information-Integrated Energy Management for Fuel Cell Vehicles

Yaxiong Wang1(),Yiying Fan1,Kai Ou1,Zhongbao Wei2,Jiujun Zhang3()   

  1. 1.School of Mechanical Engineering and Automation,Fuzhou University,Fuzhou 350108
    2.School of Mechanical Engineering,Beijing Institute of Technology,Beijing 100081
    3.College of Materials Science and Engineering,Fuzhou University,Fuzhou 350108
  • Received:2024-04-14 Revised:2024-06-27 Online:2024-12-25 Published:2024-12-20
  • Contact: Yaxiong Wang,Jiujun Zhang E-mail:yxwang@fzu.edu.cn;jiujun.zhang@i.shu.edu.cn

摘要:

能量管理决定燃料电池汽车(fuel cell vehicles,FCV)动力系统的功率分配,影响FCV的经济性与耐久性等。汽车运行工况复杂多变,能量管理可通过融合交通信息提升FCV动力系统的输出性能。本文总结了FCV能量管理的优化目标,分析了传统的规则式与优化式的能量管理策略;以车速、交通状况等交通信息的分析及预测为重点,综述马尔可夫、人工智能等预测方法,总结融合交通信息的FCV能量管理策略的研究进展;最后,提出融合交通信息的FCV能量管理发展方向。

关键词: 燃料电池汽车, 能量管理, 交通信息, 预测方法

Abstract:

Energy management determines the power distribution of the power system of fuel cell vehicles (FCVs) and affects the economy and durability of FCVs. As the operating conditions of vehicles are complex and variable, energy management can improve the output performance of FCV power system by integrating traffic information. In this paper, the optimization objectives of FCV energy management are summarized, and the traditional rule-based and optimization-based energy management strategies are analyzed. Then, focusing on the analysis and prediction of traffic information such as vehicle speed and traffic condition, prediction methods such as Markov method and artificial intelligence are reviewed, and the research progress of FCV energy management strategies by integrating traffic information is summarized. Finally, the research direction of development of FCV energy management by integrating traffic information is proposed.

Key words: fuel cell vehicle, energy management, traffic information, predictive method