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On-Line EIS Measurement for High-Power Fuel Cell Systems Using Simulink Real-Time

Author

Listed:
  • Soo-Bin Han

    (Energy ICT Convergence Research Department, Korea Institute of Energy Research, 152 Gajeong-ro, Daejeon 34129, Korea)

  • Hwanyeong Oh

    (Fuel Cell Laboratory, Korea Institute of Energy Research, 152 Gajeong-ro, Daejeon 34129, Korea)

  • Won-Yong Lee

    (Fuel Cell Laboratory, Korea Institute of Energy Research, 152 Gajeong-ro, Daejeon 34129, Korea)

  • Jinyeon Won

    (Fuel Cell Laboratory, Korea Institute of Energy Research, 152 Gajeong-ro, Daejeon 34129, Korea)

  • Suyong Chae

    (Energy ICT Convergence Research Department, Korea Institute of Energy Research, 152 Gajeong-ro, Daejeon 34129, Korea)

  • Jongbok Baek

    (Energy ICT Convergence Research Department, Korea Institute of Energy Research, 152 Gajeong-ro, Daejeon 34129, Korea)

Abstract

Impedance measurements by EIS are used to build a physical circuit-based model that enables various fault diagnostics and lifetime predictions. These research areas are becoming increasingly crucial for the safety and preventive maintenance of fuel cell power systems. It is challenging to apply the impedance measurement up to commercial applications at the field level. Although EIS technology has been widely used to measure and analyze the characteristics of fuel cells, EIS is applicable mainly at the single-cell level. In the case of stacks constituting a power generation system in the field, it is difficult to apply EIS due to various limitations in the high-power condition with uncontrollable loads. In this paper, we present a technology that can measure EIS on-line by injecting the perturbation current to fuel cell systems operating in the field. The proposed EIS method is developed based on Simulink Real-Time so that it can be applied to embedded devices. Modeling and simulation of the proposed method are presented, and the procedures from the simulation in virtual space to the real-time application to physical systems are described in detail. Finally, actual usefulness is shown through experiments using two physical systems, an impedance hardware simulator and a fuel cell stack with practical considerations.

Suggested Citation

  • Soo-Bin Han & Hwanyeong Oh & Won-Yong Lee & Jinyeon Won & Suyong Chae & Jongbok Baek, 2021. "On-Line EIS Measurement for High-Power Fuel Cell Systems Using Simulink Real-Time," Energies, MDPI, vol. 14(19), pages 1-14, September.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:19:p:6133-:d:643662
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    References listed on IDEAS

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    1. Baricci, Andrea & Mereu, Riccardo & Messaggi, Mirko & Zago, Matteo & Inzoli, Fabio & Casalegno, Andrea, 2017. "Application of computational fluid dynamics to the analysis of geometrical features in PEM fuel cells flow fields with the aid of impedance spectroscopy," Applied Energy, Elsevier, vol. 205(C), pages 670-682.
    2. Samuel Simon Araya & Fan Zhou & Simon Lennart Sahlin & Sobi Thomas & Christian Jeppesen & Søren Knudsen Kær, 2019. "Fault Characterization of a Proton Exchange Membrane Fuel Cell Stack," Energies, MDPI, vol. 12(1), pages 1-17, January.
    3. Zhang, Qian & Lin, Rui & Técher, Ludovic & Cui, Xin, 2016. "Experimental study of variable operating parameters effects on overall PEMFC performance and spatial performance distribution," Energy, Elsevier, vol. 115(P1), pages 550-560.
    4. Kim, Jonghoon & Lee, Inhae & Tak, Yongsug & Cho, B.H., 2013. "Impedance-based diagnosis of polymer electrolyte membrane fuel cell failures associated with a low frequency ripple current," Renewable Energy, Elsevier, vol. 51(C), pages 302-309.
    5. Oh, Hwanyeong & Lee, Won-Yong & Won, Jinyeon & Kim, Minjin & Choi, Yoon-Young & Han, Soo-Bin, 2020. "Residual-based fault diagnosis for thermal management systems of proton exchange membrane fuel cells," Applied Energy, Elsevier, vol. 277(C).
    6. Ren, Peng & Pei, Pucheng & Li, Yuehua & Wu, Ziyao & Chen, Dongfang & Huang, Shangwei & Jia, Xiaoning, 2019. "Diagnosis of water failures in proton exchange membrane fuel cell with zero-phase ohmic resistance and fixed-low-frequency impedance," Applied Energy, Elsevier, vol. 239(C), pages 785-792.
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    Cited by:

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