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A Scalable Segmented-Based PEM Fuel Cell Hybrid Power System Model and Its Simulation Applications

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Listed:
  • Lianghui Huang

    (School of Automation and Electrical Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China
    Key Institute of Robotics Industry of Zhejiang Province, Hangzhou 310023, China)

  • Quan Ouyang

    (College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, China)

  • Jian Chen

    (State Key Laboratory of Fluid Power & Mechatronic System, School of Mechanical Engineering, Zhejiang University, Hangzhou 310058, China)

  • Zhiyang Liu

    (State Key Laboratory of Fluid Power & Mechatronic System, School of Mechanical Engineering, Zhejiang University, Hangzhou 310058, China
    Jinhua HydroT Technology Co., Ltd., Jinhua 321017, China)

  • Xiaohua Wu

    (Vehicle Measurement Control and Safety Key Laboratory of Sichuan Province, Xihua University, Chengdu 610039, China)

Abstract

A scalable segmented-based proton-exchange membrane fuel cell (PEMFC) hybrid power system model is developed in this paper. The fuel cell (FC) is developed as a dynamic lumped parameter model to predict the current distributions during dynamic load scenarios. The fuel cell is segmented into 3 × 3 segments connected with several physical ports and with the variables balanced automatically. Based on the proposed model, a real-time energy management framework is designed to distribute the load current demand during dynamic operations. Simulation results show that the proposed strategy has good performance on both single/segmented fuel cell–battery hybrid systems and the low battery state of charge (SOC) situation. This paper proposes an approach that uses an interconnected ordinary differential equations (ODEs) system model in control problems, which makes the control algorithms readily applicable.

Suggested Citation

  • Lianghui Huang & Quan Ouyang & Jian Chen & Zhiyang Liu & Xiaohua Wu, 2023. "A Scalable Segmented-Based PEM Fuel Cell Hybrid Power System Model and Its Simulation Applications," Energies, MDPI, vol. 16(17), pages 1-13, August.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:17:p:6224-:d:1226468
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    References listed on IDEAS

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    1. Mehdi Sellali & Alexandre Ravey & Achour Betka & Abdellah Kouzou & Mohamed Benbouzid & Abdesslem Djerdir & Ralph Kennel & Mohamed Abdelrahem, 2022. "Multi-Objective Optimization-Based Health-Conscious Predictive Energy Management Strategy for Fuel Cell Hybrid Electric Vehicles," Energies, MDPI, vol. 15(4), pages 1-17, February.
    2. Xu, Liangfei & Mueller, Clemens David & Li, Jianqiu & Ouyang, Minggao & Hu, Zunyan, 2015. "Multi-objective component sizing based on optimal energy management strategy of fuel cell electric vehicles," Applied Energy, Elsevier, vol. 157(C), pages 664-674.
    3. Xiao Hu & Shikun Liu & Ke Song & Yuan Gao & Tong Zhang, 2021. "Novel Fuzzy Control Energy Management Strategy for Fuel Cell Hybrid Electric Vehicles Considering State of Health," Energies, MDPI, vol. 14(20), pages 1-20, October.
    Full references (including those not matched with items on IDEAS)

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