IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v377y2025ipas0306261924017781.html
   My bibliography  Save this article

Study on a novel self-adaptive cathode flow field with deformable baffles for proton exchange membrane fuel cell

Author

Listed:
  • Liu, Jinping
  • Luo, Zixian
  • Hu, Jianping
  • Cai, Yonghua

Abstract

The cathode flow field is one of the key influencing factors on the performance of proton exchange membrane fuel cell (PEMFC). Current research on the cathode flow field mainly focuses on specific current density conditions, without considering the performance of the flow field within the entire current density range. Therefore, this study presents a cathode self-adaptive flow field with deformable baffles and its design method, and optimizes the parameters of the baffles through neural network and genetic algorithm. Results indicate that PEMFC with a cathode self-adaptive flow field can achieve a wider range of operating current density. PEMFC with a cathode self-adaptive flow field demonstrates increased net power density across various current densities ranging from 0.2 to 3.0 A·cm−2 compared to PEMFC with the traditional straight channel flow field. At current density of 3.0 A·cm−2, the power density of PEMFC with the adaptive flow field is approximately 19 % higher than that of PEMFC with the straight channel flow field. The enhancement magnitude and trend of the experimental results are generally consistent with the numerical simulation results.

Suggested Citation

  • Liu, Jinping & Luo, Zixian & Hu, Jianping & Cai, Yonghua, 2025. "Study on a novel self-adaptive cathode flow field with deformable baffles for proton exchange membrane fuel cell," Applied Energy, Elsevier, vol. 377(PA).
  • Handle: RePEc:eee:appene:v:377:y:2025:i:pa:s0306261924017781
    DOI: 10.1016/j.apenergy.2024.124395
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261924017781
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2024.124395?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 search for a different version of it.

    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:appene:v:377:y:2025:i:pa:s0306261924017781. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.