PMP-based power management strategy of fuel cell hybrid vehicles considering multi-objective optimization

被引:0
|
作者
Chunhua Zheng
Suk Won Cha
Yeong-il Park
Won Sik Lim
Guoqing Xu
机构
[1] Shenzhen University Town,Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
[2] Shenzhen Key Laboratory of Electric Vehicle Powertrain Platform and Safety Technology,School of Mechanical and Aerospace Engineering/SNU
[3] Seoul National University,IAMD
[4] Seoul National University of Science and Technology,Department of Mechanical System Design Engineering
[5] Seoul National University of Science and Technology,Department of Mechanical and Automotive Engineering
关键词
Battery SOC constraint; Fuel cell hybrid vehicle; Fuel cell system lifetime; Power management strategy; Pontryagin’s Minimum Principle;
D O I
暂无
中图分类号
学科分类号
摘要
In order to develop more practical vehicle controllers for hybrid vehicles, performance limitations of hybrid powertrain components need to be considered when constructing power management strategies. This paper introduces a Pontryagin’s Minimum Principle (PMP)-based power management strategy for fuel cell hybrid vehicles which considers not only the fuel consumption minimization but also the requirement on limiting battery state of charge (SOC) usage or on prolonging fuel cell system lifetime.
引用
收藏
页码:845 / 853
页数:8
相关论文
共 50 条
  • [1] PMP-based power management strategy of fuel cell hybrid vehicles considering multi-objective optimization
    Zheng, Chunhua
    Cha, Suk Won
    Park, Yeong-il
    Lim, Won Sik
    Xu, Guoqing
    [J]. INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, 2013, 14 (05) : 845 - 853
  • [2] Rule learning based energy management strategy of fuel cell hybrid vehicles considering multi-objective optimization
    Liu, Yonggang
    Liu, Junjun
    Zhang, Yuanjian
    Wu, Yitao
    Chen, Zheng
    Ye, Ming
    [J]. ENERGY, 2020, 207
  • [3] An adaptive PMP-based model predictive energy management strategy for fuel cell hybrid railway vehicles
    Deng, Kai
    Peng, Hujun
    Dirkes, Steffen
    Gottschalk, Jonas
    Uenluebayir, Cem
    Thul, Andreas
    Lowenstein, Lars
    Pischinger, Stefan
    Hameyer, Kay
    [J]. ETRANSPORTATION, 2021, 7
  • [4] Realization of PMP-based Power Management Strategy for Hybrid Vehicles Based on MPC Scheme
    Zheng, Chunhua
    Xu, Guoqing
    Zhou, Yimin
    [J]. 2014 4TH IEEE INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (ICIST), 2014, : 682 - 685
  • [5] Multi-objective adaptive energy management strategy for fuel cell hybrid electric vehicles considering fuel cell health state
    Cheng, Jiabao
    Yang, Fubin
    Zhang, Hongguang
    Yang, Anren
    Xu, Yonghong
    [J]. APPLIED THERMAL ENGINEERING, 2024, 257
  • [6] Multi-objective optimization for energy management of fuel cell hybrid electric vehicles
    Liu, Hao
    Chen, Jian
    Wu, Chengshuai
    Chen, Hao
    [J]. 2018 ANNUAL AMERICAN CONTROL CONFERENCE (ACC), 2018, : 6303 - 6308
  • [7] A novel power allocation strategy considering multi-objective comprehensive optimization for hybrid electric vehicles
    Hua, Zhiguang
    Wang, Tianhong
    Li, Xianglong
    Zhao, Dongdong
    Wang, Yuanlin
    Dou, Manfeng
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2023, 286
  • [8] Development of PMP-based Power Management Strategy for a Series Hybrid Electric Bus
    Jeong, Jongryeol
    Choi, Jongdae
    Lee, Daeheung
    Cha, Suk Won
    Kim, Namwook
    Park, Yeong-il
    [J]. 2014 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC), 2014,
  • [9] Multi-Objective Energy Management Strategy Based on PSO Optimization for Power-Split Hybrid Electric Vehicles
    Du, Aimin
    Chen, Yaoyi
    Zhang, Dongxu
    Han, Yeyang
    [J]. ENERGIES, 2021, 14 (09)
  • [10] Multi-Objective Optimization-Based Health-Conscious Predictive Energy Management Strategy for Fuel Cell Hybrid Electric Vehicles
    Sellali, Mehdi
    Ravey, Alexandre
    Betka, Achour
    Kouzou, Abdellah
    Benbouzid, Mohamed
    Djerdir, Abdesslem
    Kennel, Ralph
    Abdelrahem, Mohamed
    [J]. ENERGIES, 2022, 15 (04)