IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v290y2024ics0360544224000045.html
   My bibliography  Save this article

Analysis and control strategy design for PEMFC purging process

Author

Listed:
  • Pei, Yaowang
  • Chen, Fengxiang
  • Jiao, Jieran
  • Liu, Shiguang

Abstract

In this study, a lumped-parameter model for shutdown purging has been developed using MATLAB/Simulink®. Data gleaned from actual operational scenarios on a fuel cell experimental platform serve as the basis for parameter identification within the model. The study encompasses a comparative analysis of purging processes under various operational parameters, including stack temperatures, purging currents, and purging flow rates. Moreover, an innovative purging strategy is proposed, employing an open-loop control mechanism to modulate the purging flow rate. The analysis reveals that an elevated stack temperature and a reduced purging current markedly enhance purging efficiency and diminish the water content at equilibrium. A negative correlation is observed between purging time and purging flow rate, with energy consumption demonstrating a U-shaped pattern across different flow rates. According to the proposed purging strategy, the optimal purging flow rate is ascertained through a Multi-dimensional Array Programming (MAP) lookup. This lookup is contingent upon stack temperature, purging current, and initial membrane water content. Validation confirms that this strategy not only truncates the purging duration but also curtails the system energy expenditure. These analytical insights and the newly-formulated purging strategy hold both theoretical and pragmatic implications for optimizing stack shutdown purging operations and advancing future purging methodologies.

Suggested Citation

  • Pei, Yaowang & Chen, Fengxiang & Jiao, Jieran & Liu, Shiguang, 2024. "Analysis and control strategy design for PEMFC purging process," Energy, Elsevier, vol. 290(C).
    • Handle: RePEc:eee:energy:v:290:y:2024:i:c:s0360544224000045
    DOI: 10.1016/j.energy.2024.130233
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224000045
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2024.130233?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.

    References listed on IDEAS

    as
    1. Jiao, Jieran & Chen, Fengxiang, 2022. "Humidity estimation of vehicle proton exchange membrane fuel cell under variable operating temperature based on adaptive sliding mode observation," Applied Energy, Elsevier, vol. 313(C).
    2. Tang, Hong-Yue & Santamaria, Anthony D. & Bachman, John & Park, Jae Wan, 2013. "Vacuum-assisted drying of polymer electrolyte membrane fuel cell," Applied Energy, Elsevier, vol. 107(C), pages 264-270.
    3. Ma, Yan & Hu, Fuyuan & Hu, Yunfeng, 2023. "Energy efficiency improvement of intelligent fuel cell/battery hybrid vehicles through an integrated management strategy," Energy, Elsevier, vol. 263(PE).
    4. Chen, Fengxiang & Pei, Yaowang & Jiao, Jieran & Chi, Xuncheng & Hou, Zhongjun, 2023. "Energy flow and thermal voltage analysis of water-cooled PEMFC stack under normal operating conditions," Energy, Elsevier, vol. 275(C).
    5. Xu, Jiamin & Zhang, Caizhi & Wan, Zhongmin & Chen, Xi & Chan, Siew Hwa & Tu, Zhengkai, 2022. "Progress and perspectives of integrated thermal management systems in PEM fuel cell vehicles: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    6. Asensio, F.J. & San Martín, J.I. & Zamora, I. & Garcia-Villalobos, J., 2017. "Fuel cell-based CHP system modelling using Artificial Neural Networks aimed at developing techno-economic efficiency maximization control systems," Energy, Elsevier, vol. 123(C), pages 585-593.
    7. Lin, Rui & Zhu, Yike & Ni, Meng & Jiang, Zhenghua & Lou, Diming & Han, Lihang & Zhong, Di, 2019. "Consistency analysis of polymer electrolyte membrane fuel cell stack during cold start," Applied Energy, Elsevier, vol. 241(C), pages 420-432.
    8. Huo, Sen & Jiao, Kui & Park, Jae Wan, 2019. "On the water transport behavior and phase transition mechanisms in cold start operation of PEM fuel cell," Applied Energy, Elsevier, vol. 233, pages 776-788.
    9. Liu, Zhao & Chen, Huicui & Zhang, Tong, 2022. "Review on system mitigation strategies for start-stop degradation of automotive proton exchange membrane fuel cell," Applied Energy, Elsevier, vol. 327(C).
    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. Pei, Yaowang & Chen, Fengxiang & Jiao, Jieran & Ye, Huan & Zhang, Caizhi & Jiang, Xiaojie, 2024. "Fuel cell temperature control based on nonlinear transformation mitigating system nonlinearity," Renewable Energy, Elsevier, vol. 230(C).
    2. Fengxiang Chen & Yuanyuan Duan & Yaowang Pei & Bo Zhang, 2025. "Internal Model Control for Onboard Methanol-Reforming Hydrogen Production Systems," Energies, MDPI, vol. 18(3), pages 1-32, January.
    3. Xu, Haisong & Wang, Lei & Xie, Lei & Su, Hongye & Lu, Jianshan & Liu, Zhiyang, 2024. "Freeze start of proton exchange membrane fuel cell systems with closed-loop purging and improved voltage consistency," Applied Energy, Elsevier, vol. 374(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. Lin, Rui & Zhong, Di & Lan, Shunbo & Guo, Rong & Ma, Yunyang & Cai, Xin, 2021. "Experimental validation for enhancement of PEMFC cold start performance: Based on the optimization of micro porous layer," Applied Energy, Elsevier, vol. 300(C).
    2. Wu, Kangcheng & Du, Qing & Zu, Bingfeng & Wang, Yupeng & Cai, Jun & Gu, Xin & Xuan, Jin & Jiao, Kui, 2021. "Enabling real-time optimization of dynamic processes of proton exchange membrane fuel cell: Data-driven approach with semi-recurrent sliding window method," Applied Energy, Elsevier, vol. 303(C).
    3. Pei, Yaowang & Chen, Fengxiang & Jiao, Jieran & Ye, Huan & Zhang, Caizhi & Jiang, Xiaojie, 2024. "Fuel cell temperature control based on nonlinear transformation mitigating system nonlinearity," Renewable Energy, Elsevier, vol. 230(C).
    4. shi, Lei & Tang, Xingwang & Xu, Sichuan & Liu, Ze, 2024. "Numerical research on liquid water removal mechanism and the influence of pore structure on water removal rate based on real pore GDL structure during shutdown purge of fuel cell," Energy, Elsevier, vol. 288(C).
    5. Knorr, Florian & Sanchez, Daniel Garcia & Schirmer, Johannes & Gazdzicki, Pawel & Friedrich, K.A., 2019. "Methanol as antifreeze agent for cold start of automotive polymer electrolyte membrane fuel cells," Applied Energy, Elsevier, vol. 238(C), pages 1-10.
    6. Yang, Liu & Cao, Chenxi & Gan, Quanquan & Pei, Hao & Zhang, Qi & Li, Ping, 2022. "Revealing failure modes and effect of catalyst layer properties for PEM fuel cell cold start using an agglomerate model," Applied Energy, Elsevier, vol. 312(C).
    7. Chen, Fengxiang & Pei, Yaowang & Jiao, Jieran & Chi, Xuncheng & Hou, Zhongjun, 2023. "Energy flow and thermal voltage analysis of water-cooled PEMFC stack under normal operating conditions," Energy, Elsevier, vol. 275(C).
    8. Pan, Weitong & Li, Ping & Gan, Quanquan & Chen, Xueli & Wang, Fuchen & Dai, Gance, 2020. "Thermal stability analysis of cold start processes in PEM fuel cells," Applied Energy, Elsevier, vol. 261(C).
    9. Yang, Zirong & Jiao, Kui & Wu, Kangcheng & Shi, Weilong & Jiang, Shangfeng & Zhang, Longhai & Du, Qing, 2021. "Numerical investigations of assisted heating cold start strategies for proton exchange membrane fuel cell systems," Energy, Elsevier, vol. 222(C).
    10. Lin, Rui & Zhu, Yike & Ni, Meng & Jiang, Zhenghua & Lou, Diming & Han, Lihang & Zhong, Di, 2019. "Consistency analysis of polymer electrolyte membrane fuel cell stack during cold start," Applied Energy, Elsevier, vol. 241(C), pages 420-432.
    11. Li, Yuehua & Pei, Pucheng & Ma, Ze & Ren, Peng & Wu, Ziyao & Chen, Dongfang & Huang, Hao, 2019. "Characteristic analysis in lowering current density based on pressure drop for avoiding flooding in proton exchange membrane fuel cell," Applied Energy, Elsevier, vol. 248(C), pages 321-329.
    12. Ahmed Mohmed Dafalla & Lin Wei & Bereket Tsegai Habte & Jian Guo & Fangming Jiang, 2022. "Membrane Electrode Assembly Degradation Modeling of Proton Exchange Membrane Fuel Cells: A Review," Energies, MDPI, vol. 15(23), pages 1-26, December.
    13. Ma, Yan & Hu, Fuyuan & Hu, Yunfeng, 2023. "Energy efficiency improvement of intelligent fuel cell/battery hybrid vehicles through an integrated management strategy," Energy, Elsevier, vol. 263(PE).
    14. Tao, Jianjian & Zhang, Yihan & Wei, Xuezhe & Jiang, Shangfeng & Dai, Haifeng, 2024. "Optimization of fast cold start strategy for PEM fuel cell stack," Applied Energy, Elsevier, vol. 362(C).
    15. Haibo Huo & Jiajie Chen & Ke Wang & Fang Wang & Guangzhe Jin & Fengxiang Chen, 2023. "State Estimation of Membrane Water Content of PEMFC Based on GA-BP Neural Network," Sustainability, MDPI, vol. 15(11), pages 1-16, June.
    16. Akimoto, Yutaro & Shibata, Masumi & Tsuzuki, Yuto & Okajima, Keiichi & Suzuki, Shin-nosuke, 2023. "In-situ on-board evaluation and control of proton exchange membrane fuel cells using magnetic sensors," Applied Energy, Elsevier, vol. 351(C).
    17. Pan, Mingzhang & Pan, Chengjie & Li, Chao & Zhao, Jian, 2021. "A review of membranes in proton exchange membrane fuel cells: Transport phenomena, performance and durability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    18. Zhou, Yu & Meng, Kai & Liu, Wei & Chen, Ke & Chen, Wenshang & Zhang, Ning & Chen, Ben, 2024. "Multi-objective optimization of comprehensive performance enhancement for proton exchange membrane fuel cell based on machine learning," Renewable Energy, Elsevier, vol. 232(C).
    19. Zhang, Zhuo & Wang, Qi-yao & Bai, Fan & Chen, Li & Tao, Wen-quan, 2023. "Performance simulation and key parameters in-plane distribution analysis of a commercial-size PEMFC," Energy, Elsevier, vol. 263(PC).
    20. Asensio, F.J. & San Martín, J.I. & Zamora, I. & Oñederra, O., 2018. "Model for optimal management of the cooling system of a fuel cell-based combined heat and power system for developing optimization control strategies," Applied Energy, Elsevier, vol. 211(C), pages 413-430.

    More about this item

    Keywords

    PEMFC; Cold start; Purge; Simulation;
    All these 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:290:y:2024:i:c:s0360544224000045. 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.