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基于锂离子超级电容器的燃料电池混合动力系统能量管理研究
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  • 英文篇名:Research on Energy Management of Fuel Cell Hybrid Power System Based on Lithium Ion Capacitor
  • 作者:谭研 ; 杨代军 ; 张存满
  • 英文作者:TAN Yan;YANG Dai-jun;ZHANG Cun-man;School of Automotive Study,Tongji University;Clean Energy Vehicle Engineering Center,Tongji University;
  • 关键词:氢燃料电池 ; 锂离子超级电容器 ; 功率跟随 ; 模糊控制 ; 燃料经济性
  • 英文关键词:fuel cell;;lithium ion capacitor;;power following;;fuzzy control;;fuel economy
  • 中文刊名:JMDB
  • 英文刊名:Journal of Jiamusi University(Natural Science Edition)
  • 机构:同济大学汽车学院;同济大学新能源汽车工程中心;
  • 出版日期:2019-03-19 08:57
  • 出版单位:佳木斯大学学报(自然科学版)
  • 年:2019
  • 期:v.37;No.159
  • 语种:中文;
  • 页:JMDB201902017
  • 页数:4
  • CN:02
  • ISSN:23-1434/T
  • 分类号:70-73
摘要
针对目前较为成熟的氢燃料电池汽车动力系统构型和能量管理中存在的不足,提出一种基于锂离子超级电容器和氢燃料电池的模糊控制策略的燃料电池汽车能量管理方法。改进的能量管理方法在传统蓄电池作为辅助电源基础上,运用了锂离子超级电容器,其拥有更大的功率密度和出色的能量密度,可以更好地满足汽车动力性需求。同时将传统功率跟随控制策略进行修改,采用模糊控制策略对新动力系统进行控制,在满足整车动力性的同时有效地提高了燃料经济性,且SOC和燃料电池负载变化情况都有明显改善。
        Aiming at the shortcomings of the current fuel cell vehicle power system configuration and energy management,a fuel cell vehicle energy management method based on the fuzzy control strategy of lithium ion capacitor and fuel cell is proposed. The improved energy management method uses a lithium ion capacitor as an auxiliary power source,which has a higher power density and an excellent energy density,and can better meet the automotive power demand. At the same time,the traditional power following control strategy is modified,and the new power system is controlled by the fuzzy control strategy. The fuel economy is effectively improved while the vehicle dynamics is satisfied,and the SOC and fuel cell load changes are obviously improved.
引文
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    [3]Yu,S.;Zhang,J.;Wang,L.Power Management Strategy with Regenerative Braking For Fuel Cell Hybrid Electric Vehicle.Power and Energy Engineering Conference,2009.APPEEC2009.Asia-Pacific,2009;1-.
    [4]Sundstrom,O.;Stefanopoulou,A.Optimal power split in fuel cell hybrid electric vehicle with different battery sizes,drive cycles,and objectives.Computer Aided Control System Design,2006 IEEE International Conference on Control Applications,2006 IEEE International Symposium on Intelligent Control,2006;1681-1688.
    [5]Thounthong,P.;Pierfederici,S.;Martin,J.P.et al.Modeling and Control of Fuel Cell Supercapacitor Hybrid Source Based on Differential Flatness Control.IEEE Transactions on Vehicular Technology 2010,59(6),2700-2710.
    [6]Tani,A.;Camara,M.B.;Dakyo,B.et al.DC/DC and DC/AC Converters Control for Hybrid Electric Vehicles Energy Management-Ultracapacitors and Fuel Cell.IEEE Transactions on Industrial Informatics 2013,9(2),686-696.

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