An Online Efficiency Optimized Energy Management Strategy for Fuel Cell Hybrid Electric Vehicles

被引:11
|
作者
Zhang, Yuxiang [1 ]
Ma, Rui [1 ]
Zhao, Dongdong [1 ]
Huangfu, Yigeng [1 ]
Liu, Weiguo [1 ]
机构
[1] Northwestern Polytech Univ, Dept Elect Engn, Xian 710072, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Energy management strategy (EMS); fuel cell (FC); hardware-in-the-loop (HiL); optimization; POWER MANAGEMENT; STORAGE SYSTEMS; CONSUMPTION;
D O I
10.1109/TTE.2022.3214683
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A reasonable energy management strategy (EMS) for a hybrid power system can effectively optimize the critical indicators of the system. In this article, a multi-level EMS that can improve the energy utilization rate of the fuel cell hybrid electric vehicle (FCHEV) was proposed. Focused on the energy distribution, a system overall efficiency optimization model was built first. Then, to reduce the computational burden caused by solving the optimization model, an instantaneous optimal search (IOS) algorithm with better online performance was proposed. Thus, the corresponding load demand power distribution strategy that can optimize the system overall efficiency can be designed. Hardware in the loop (HiL) experimental results indicated that the proposed EMS can realize optimization of the FCHEV energy utilization rate compared with other traditional strategies. To further validate that the proposed strategy can contribute to the practical application of the fuel cell electric vehicle, a 1.2-kW hybrid electric vehicle was built in the laboratory. Results of the vehicle driving tests indicated that the designed EMS can effectively optimize the overall efficiency of the FCHEV hybrid power system, which can help to contribute to the application of FCHEVs.
引用
收藏
页码:3203 / 3217
页数:15
相关论文
共 50 条
  • [31] Energy Management Strategy for Fuel Cell Hybrid Electric Vehicles Considering the Inaccuracy of Predicted Vehicle Speed
    Yang, Huice
    Hu, Yunfeng
    Gong, Xun
    Cao, Ranhe
    Guo, Lulu
    Chen, Hong
    IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2024, 10 (04): : 8246 - 8262
  • [32] Efficient Energy Management Strategy for Fuel Cell Hybrid Electric Vehicles Using Classifier Fusion Technique
    Chatterjee, Debasis
    Biswas, Pabitra Kumar
    Sain, Chiranjit
    Roy, Amarjit
    Ahmad, Furkan
    IEEE ACCESS, 2023, 11 : 97135 - 97146
  • [33] Development Trends of Transmissions for Hybrid Electric Vehicles Using an Optimized Energy Management Strategy
    Shi T.
    Zhao F.
    Hao H.
    Liu Z.
    Automotive Innovation, 2018, 1 (4) : 291 - 299
  • [34] Energy efficiency improvement of intelligent fuel cell/battery hybrid vehicles through an integrated management strategy
    Ma, Yan
    Hu, Fuyuan
    Hu, Yunfeng
    ENERGY, 2023, 263
  • [35] Online Model Adaption for Energy Management in Fuel Cell Electric Vehicles (FCEVs)
    Novella, Ricardo
    Pla, Benjamin
    Bares, Pau
    Pinto, Douglas
    APPLIED SCIENCES-BASEL, 2024, 14 (08):
  • [36] A Droop-Based Energy Management Strategy for Fuel Cell Electric Vehicles
    Zhang, G.
    Xu, H.
    Yang, L.
    Zhang, X.
    Xie, C.
    Li, K.
    Yin, C.
    2018 ANNUAL AMERICAN CONTROL CONFERENCE (ACC), 2018, : 3110 - 3115
  • [37] A review of energy management strategy for fuel cell hybrid electric vehicle
    Li, Huan
    Ravey, Alexandre
    N'Diaye, Abdoul
    Djerdir, Abdesslem
    2017 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC), 2017,
  • [38] A Comprehensive Analysis of Online and Offline Energy Management Approaches for Optimal Performance of Fuel Cell Hybrid Electric Vehicles
    Rasool, Mubashir
    Khan, Muhammad Adil
    Zou, Runmin
    ENERGIES, 2023, 16 (08)
  • [39] 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
    APPLIED THERMAL ENGINEERING, 2024, 257
  • [40] Online adaptive energy management strategy for fuel cell hybrid vehicles based on improved cluster and regression learner
    Li, Mince
    Wang, Yujie
    Yu, Pengli
    Sun, Zhendong
    Chen, Zonghai
    ENERGY CONVERSION AND MANAGEMENT, 2023, 292