IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v283y2023ics0360544223024477.html

Analytical temperature estimation process of the air supply system of the proton exchange membrane fuel cell stack in fuel cell electric vehicles

Author

Listed:
  • Kim, Dong-Min
  • Chin, Jun-Woo
  • Kim, Jae-Hyun
  • Lim, Myung-Seop

Abstract

The air supply system of the proton exchange membrane fuel cell stack in fuel cell electric vehicles should be included as one of the components of the balance of plant. However, the air supply system consists of a centrifugal air compressor, driven by an ultra-high-speed motor. Therefore, there occurs a large amount of thermal energy from losses and the temperature of the air supply system should be considered. Accordingly, this study suggests the temperature estimation process for an air supply system based on a lumped parameter thermal network (LPTN). First, performance modeling is introduced using not only the empirical approach but also electromagnetic finite element analysis (FEA). Subsequently, thermal modeling based on the LPTN is presented. For this procedure, optimization techniques, screening, and surrogate model-based optimization are used. Finally, the results of LPTN construction are investigated. Furthermore, an additional experiment is conducted, and the result of this study is verified.

Suggested Citation

  • Kim, Dong-Min & Chin, Jun-Woo & Kim, Jae-Hyun & Lim, Myung-Seop, 2023. "Analytical temperature estimation process of the air supply system of the proton exchange membrane fuel cell stack in fuel cell electric vehicles," Energy, Elsevier, vol. 283(C).
  • Handle: RePEc:eee:energy:v:283:y:2023:i:c:s0360544223024477
    DOI: 10.1016/j.energy.2023.129053
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223024477
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2023.129053?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Kim, Soohwan & Jeong, Hoyoung & Lee, Hoseong, 2021. "Cold-start performance investigation of fuel cell electric vehicles with heat pump-assisted thermal management systems," Energy, Elsevier, vol. 232(C).
    2. Xu, Jiamin & Zhang, Caizhi & Fan, Ruijia & Bao, Huanhuan & Wang, Yi & Huang, Shulong & Chin, Cheng Siong & Li, Congxin, 2020. "Modelling and control of vehicle integrated thermal management system of PEM fuel cell vehicle," Energy, Elsevier, vol. 199(C).
    3. Wang, Chuang & Liu, Mingkun & Wang, Bingqi & Xing, Ziwen & Shu, Yue, 2022. "Research on power consumption distribution characteristics of a water-lubricated twin-screw air compressor for fuel cell applications," Energy, Elsevier, vol. 256(C).
    4. Han, Jaeyoung & Yu, Sangseok & Yi, Sun, 2017. "Adaptive control for robust air flow management in an automotive fuel cell system," Applied Energy, Elsevier, vol. 190(C), pages 73-83.
    5. Kim, Dong-Min & Lee, Soo-Gyung & Kim, Dae-Kee & Park, Min-Ro & Lim, Myung-Seop, 2022. "Sizing and optimization process of hybrid electric propulsion system for heavy-duty vehicle based on Gaussian process modeling considering traction motor characteristics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    6. Ronald L. Wasserstein & Nicole A. Lazar, 2016. "The ASA's Statement on p -Values: Context, Process, and Purpose," The American Statistician, Taylor & Francis Journals, vol. 70(2), pages 129-133, May.
    7. Wang, Jun & Han, Yi & Pan, Shiyang & Wang, Zengli & Cui, Dong & Geng, Maofei, 2022. "Design and development of an oil-free double-scroll air compressor used in a PEM fuel cell system," Renewable Energy, Elsevier, vol. 199(C), pages 840-851.
    8. Kwon, Kihan & Lee, Jung-Hwan & Lim, Sang-Kil, 2023. "Optimization of multi-speed transmission for electric vehicles based on electrical and mechanical efficiency analysis," Applied Energy, Elsevier, vol. 342(C).
    9. Li, Kunpeng & Wang, Lan, 2023. "Optimal electric vehicle subsidy and pricing decisions with consideration of EV anxiety and EV preference in green and non-green consumers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).
    10. Chen, Huicui & Liu, Zhao & Ye, Xichen & Yi, Liu & Xu, Sichen & Zhang, Tong, 2022. "Air flow and pressure optimization for air supply in proton exchange membrane fuel cell system," Energy, Elsevier, vol. 238(PC).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Liu, Feng & Wang, Xiuhe & Sun, Lingling & Wei, Hongye & Li, Changbin & Ren, Jie, 2025. "Improved 3D hybrid thermal model for global temperature distribution prediction of interior permanent magnet synchronous motor," Energy, Elsevier, vol. 315(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hu, Haowen & Ou, Kai & Yuan, Wei-Wei, 2023. "Fused multi-model predictive control with adaptive compensation for proton exchange membrane fuel cell air supply system," Energy, Elsevier, vol. 284(C).
    2. Deng, Zhihua & Miao, Bin & Cui, Yunjia & Chen, Jian & Pan, Zehua & Liu, Hao & Deendarlianto, Deendarlianto & Suwarno, Suwarno & Chan, Siew Hwa, 2025. "Towards high-performance fuel cell systems: Comprehensive review of methods for modeling, control, and optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 224(C).
    3. Vu, Hoang Nghia & Truong Le Tri, Dat & Nguyen, Huu Linh & Kim, Younghyeon & Yu, Sangseok, 2023. "Multifunctional bypass valve for water management and surge protection in a proton-exchange membrane fuel cell supply-air system," Energy, Elsevier, vol. 278(C).
    4. Li, Yuehua & Pei, Pucheng & Ma, Ze & Ren, Peng & Huang, Hao, 2020. "Analysis of air compression, progress of compressor and control for optimal energy efficiency in proton exchange membrane fuel cell," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    5. Zhang, Nan & Lu, Yiji & Ouderji, Zahra Hajabdollahi & Yu, Zhibin, 2023. "Review of heat pump integrated energy systems for future zero-emission vehicles," Energy, Elsevier, vol. 273(C).
    6. Wang, Renkang & Li, Kai & Cao, Jishen & Yang, Haiyu & Tang, Hao, 2024. "Air supply subsystem efficiency optimization for fuel cell power system with layered control method," Renewable Energy, Elsevier, vol. 235(C).
    7. Fukś Maksymilian & Wiejaczka Łukasz, 2025. "Climatic Determinants of Changes in the Ice Regime of Carpathian Rivers," Quaestiones Geographicae, Sciendo, vol. 44(1), pages 131-143.
    8. Bizon, Nicu, 2019. "Real-time optimization strategies of Fuel Cell Hybrid Power Systems based on Load-following control: A new strategy, and a comparative study of topologies and fuel economy obtained," Applied Energy, Elsevier, vol. 241(C), pages 444-460.
    9. Li, Kunpeng & Wang, Lan & Gharehgozli, Amir & Joo, Seong-Jong & Lee, Jun-Yeon, 2025. "Optimal quality design of smart technologies for port digitalization: A game theoretical approach under digitalization synergy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 204(C).
    10. Jyotirmoy Sarkar, 2018. "Will P†Value Triumph over Abuses and Attacks?," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 7(4), pages 66-71, July.
    11. Pei, Yaowang & Chen, Fengxiang & Zhou, Su & Huo, Haibo & Ye, Huan, 2025. "Inlet gas flow, pressure and temperature control technology for PEMFC stack testing platforms," Energy, Elsevier, vol. 333(C).
    12. Karmakar, Bisheswar & Chakrabortty, Sankha & Kumar, Ramesh & Halder, Gopinath, 2025. "Biodiesel synthesis from Ricinus communis and Pongamia pinnata oil blends by injecting superheated methanol – isopropanol mixtures: Optimization through CCD and ANN approaches," Renewable Energy, Elsevier, vol. 249(C).
    13. Olivian Chiver & Ioan Radu Sugar & Liviu Neamt, 2024. "Study on the Selection of Electric Motor/Engine on the Performance of Hybrid Vehicles," Energies, MDPI, vol. 17(14), pages 1-14, July.
    14. Segurado, Pedro & Gutiérrez-Cánovas, Cayetano & Ferreira, Teresa & Branco, Paulo, 2022. "Stressor gradient coverage affects interaction identification," Ecological Modelling, Elsevier, vol. 472(C).
    15. Uwe Hassler & Marc‐Oliver Pohle, 2022. "Unlucky Number 13? Manipulating Evidence Subject to Snooping," International Statistical Review, International Statistical Institute, vol. 90(2), pages 397-410, August.
    16. Chen, Yan-Ting & Chang, Ching-Ter, 2025. "Design and selection of recycling strategy considering consumer preference," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 193(C).
    17. Tang, Yanyan & Wen, Zongguo & Hu, Song & Li, Yaoming & Lu, Minyan, 2026. "Allocation equality of battery replacement subsidy for electric buses: Evidence from provinces and cities in China," Energy Policy, Elsevier, vol. 210(C).
    18. Bizon, Nicu, 2019. "Hybrid power sources (HPSs) for space applications: Analysis of PEMFC/Battery/SMES HPS under unknown load containing pulses," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 14-37.
    19. Hirschauer, Norbert & Grüner, Sven & Mußhoff, Oliver & Becker, Claudia & Jantsch, Antje, 2020. "Can p-values be meaningfully interpreted without random sampling?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 14, pages 71-91.
    20. Cui, Ziyu & Fu, Xiaowen & Wu, Xiangru & Wang, Kun, 2025. "Optimal subsidy scheme for electric ship adoption in inland shipping," Transportation Research Part A: Policy and Practice, Elsevier, vol. 199(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:283:y:2023:i:c:s0360544223024477. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.