An Energy Management Strategy Considering the Economy and Lifetime of Multistack Fuel Cell Hybrid System

被引:20
|
作者
Li, Qi [1 ]
Cai, Liangdong [1 ]
Yin, Liangzhen [1 ,2 ,3 ]
Wang, Tianhong [1 ,2 ,3 ]
Li, Luoyi [1 ]
Xie, Shuqi [1 ]
Chen, Weirong [1 ]
机构
[1] Southwest Jiaotong Univ, Sch Elect Engn, Chengdu 610031, Sichuan, Peoples R China
[2] Univ Bourgogne Franche Comte, FEMTO ST Inst, UTBM, CNRS, F-90010 Belfort, France
[3] Univ Bourgogne Franche Comte, FCLAB, UTBM, CNRS, F-90010 Belfort, France
关键词
Energy management strategy (EMS); multistack fuel cell (FC) hybrid system (MS-FCHS); system operating cost; ELECTRIC VEHICLE; MINIMIZATION STRATEGY; OPTIMIZATION; FILTER;
D O I
10.1109/TTE.2022.3218505
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
Due to technical limitations, it is difficult for a single-stack fuel cell (FC) system to be applied in high-power applications. Therefore, multistack FC hybrid system (MS-FCHS) is attracting more and more attention. To improve the system economy, this work proposes a real-time energy management strategy (EMS) that minimizes the system operating cost. Specifically, the proposed strategy considers not only fuel cost but also FC and battery degradation cost. Second, during the operation of MS-FCHS, the performance of each stack varies with operating conditions and time, and this work also considers the impact of inconsistent FC performance on the system lifetime. Finally, compared with the power following strategy (PF) and the hydrogen consumption minimizing strategy (H2-minimization), RT-LAB experimental results show that the proposed strategy can reduce the system operating cost by 15.85% and 9.75% and improve the system efficiency. In addition, since the system life depends on the stack with the worst service performance, the proposed strategy can also realize the convergent control of the system performance when the stacks operate in parallel, prolong the life of the system, and maintain battery state of charge (SOC) within a certain range, which is conducive to the stable operation of the system.
引用
收藏
页码:3498 / 3507
页数:10
相关论文
共 50 条
  • [1] An Energy Management Strategy for Multistack Fuel Cell Hybrid Locomotives With Integrated Optimization of System Service Life
    Li, Qi
    Tan, Haolan
    Wang, Tianhong
    Li, Xiang
    Chen, Weirong
    IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2025, 11 (02): : 5771 - 5780
  • [2] A Speedy Reinforcement Learning-Based Energy Management Strategy for Fuel Cell Hybrid Vehicles Considering Fuel Cell System Lifetime
    Wei Li
    Jiaye Ye
    Yunduan Cui
    Namwook Kim
    Suk Won Cha
    Chunhua Zheng
    International Journal of Precision Engineering and Manufacturing-Green Technology, 2022, 9 : 859 - 872
  • [3] A Speedy Reinforcement Learning-Based Energy Management Strategy for Fuel Cell Hybrid Vehicles Considering Fuel Cell System Lifetime
    Li, Wei
    Ye, Jiaye
    Cui, Yunduan
    Kim, Namwook
    Cha, Suk Won
    Zheng, Chunhua
    INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY, 2022, 9 (03) : 859 - 872
  • [4] On the sizing and energy management of an hybrid multistack fuel cell - Battery system for automotive applications
    Marx, Neigel
    Hissel, Daniel
    Gustin, Frederic
    Boulon, Loic
    Agbossou, Kodjo
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2017, 42 (02) : 1518 - 1526
  • [5] Optimization based energy management strategy for fuel cell/battery/ultracapacitor hybrid vehicle considering fuel economy and fuel cell lifespan
    Fu, Zhumu
    Zhu, Longlong
    Tao, Fazhan
    Si, Pengju
    Sun, Lifan
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2020, 45 (15) : 8875 - 8886
  • [6] Energy Management Strategy Considering Fuel Economy and Life of Fuel Cell for Fuel Cell Electric Vehicles
    Gu, Hao
    Yin, Bifeng
    Yu, Yingxiao
    Sun, Yan
    JOURNAL OF ENERGY ENGINEERING, 2023, 149 (01)
  • [7] Optimal energy management strategy based on neural network algorithm for fuel cell hybrid vehicle considering fuel cell lifetime and fuel consumption
    Omer, Abbaker A. M.
    Wang, Haoping
    Tian, Yang
    Peng, Lingxi
    Soft Computing, 2024, 28 (19) : 11471 - 11493
  • [8] Adaptive energy management for hybrid power system considering fuel economy and battery longevity
    Li, Shuangqi
    Gu, Chenghong
    Zhao, Pengfei
    Cheng, Shuang
    Energy Conversion and Management, 2021, 235
  • [9] Adaptive energy management for hybrid power system considering fuel economy and battery longevity
    Li, Shuangqi
    Gu, Chenghong
    Zhao, Pengfei
    Cheng, Shuang
    ENERGY CONVERSION AND MANAGEMENT, 2021, 235
  • [10] Lifetime-Optimized Energy Management Strategy for Fuel Cell Unmanned Aircraft Vehicle Hybrid Power System
    Ma, Rui
    Song, Jian
    Zhang, Yufan
    Zhang, Hongyu
    Yuan, Minghao
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2023, 70 (09) : 9046 - 9056