IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i2p664-d1026608.html
   My bibliography  Save this article

Automotive Fuel Cell Systems: Testing Highly Dynamic Scenarios

Author

Listed:
  • Jonas Breitinger

    (Robert Bosch GmbH, 71272 Renningen, Germany)

  • Mark Hellmann

    (Robert Bosch GmbH, 71272 Renningen, Germany)

  • Helerson Kemmer

    (Robert Bosch GmbH, 71272 Renningen, Germany)

  • Stephan Kabelac

    (Institute of Thermodynamics, Leibniz University Hannover, 30823 Garbsen, Germany)

Abstract

PEM fuel cell systems face highly dynamic load profiles in automotive application. This work showcases the impact of media supply adaption, system architecture and test rig restrictions on the transient voltage response of an automotive fuel cell stack. Current step and load profile experiments were conducted on a system test rig, featuring automotive balance of plant components, and a short stack test bench. A time scale analysis allowed us to identify the predominant effect for the voltage response in each test case. The voltage response measured in the test cases was dominated either by air supply, membrane humidification or coolant temperature dynamics. This systematic comparison of different types of test setups highlights the importance of application-like system level testing as, in contrast to common experiments, different phenomena shape the electrical stack behavior.

Suggested Citation

  • Jonas Breitinger & Mark Hellmann & Helerson Kemmer & Stephan Kabelac, 2023. "Automotive Fuel Cell Systems: Testing Highly Dynamic Scenarios," Energies, MDPI, vol. 16(2), pages 1-15, January.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:2:p:664-:d:1026608
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/2/664/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/2/664/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Idoia San Martín & Alfredo Ursúa & Pablo Sanchis, 2014. "Modelling of PEM Fuel Cell Performance: Steady-State and Dynamic Experimental Validation," Energies, MDPI, vol. 7(2), pages 1-31, February.
    2. Alexey Loskutov & Andrey Kurkin & Andrey Shalukho & Ivan Lipuzhin & Rustam Bedretdinov, 2022. "Investigation of PEM Fuel Cell Characteristics in Steady and Dynamic Operation Modes," Energies, MDPI, vol. 15(19), pages 1-19, September.
    3. Tang, Yong & Yuan, Wei & Pan, Minqiang & Li, Zongtao & Chen, Guoqing & Li, Yong, 2010. "Experimental investigation of dynamic performance and transient responses of a kW-class PEM fuel cell stack under various load changes," Applied Energy, Elsevier, vol. 87(4), pages 1410-1417, April.
    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. Hu, Baobao & Qu, Zhiguo & Zhang, Jianfei & Wang, Xueliang & Sun, He & Wang, Yongzhan, 2024. "Operating performance and energy flow modeling for a hundred-kilowatt proton exchange membrane fuel cell stack test system," Applied Energy, Elsevier, vol. 372(C).
    2. Haubensak, Lukas & Strahl, Stephan & Braun, Jochen & Faulwasser, Timm, 2024. "Towards real-time capable optimal control for fuel cell vehicles using hierarchical economic MPC," Applied Energy, Elsevier, vol. 366(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. Yasser Diab & Francois Auger & Emmanuel Schaeffer & Stéphane Chevalier & Adib Allahham, 2022. "Real-Time Estimation of PEMFC Parameters Using a Continuous-Discrete Extended Kalman Filter Derived from a Pseudo Two-Dimensional Model," Energies, MDPI, vol. 15(7), pages 1-23, March.
    2. Sethu Sundar Pethaiah & Kishor Kumar Sadasivuni & Arunkumar Jayakumar & Deepalekshmi Ponnamma & Chandra Sekhar Tiwary & Gangadharan Sasikumar, 2020. "Methanol Electrolysis for Hydrogen Production Using Polymer Electrolyte Membrane: A Mini-Review," Energies, MDPI, vol. 13(22), pages 1-17, November.
    3. Vasallo, Manuel Jesús & Bravo, José Manuel & Andújar, José Manuel, 2013. "Optimal sizing for UPS systems based on batteries and/or fuel cell," Applied Energy, Elsevier, vol. 105(C), pages 170-181.
    4. Hou, Yongping & Shen, Caoyuan & Hao, Dong & Liu, Yanan & Wang, Hong, 2014. "A dynamic model for hydrogen consumption of fuel cell stacks considering the effects of hydrogen purge operation," Renewable Energy, Elsevier, vol. 62(C), pages 672-678.
    5. Chen, Daifen & Zeng, Qice & Su, Shichuan & Bi, Wuxi & Ren, Zhiqiang, 2013. "Geometric optimization of a 10-cell modular planar solid oxide fuel cell stack manifold," Applied Energy, Elsevier, vol. 112(C), pages 1100-1107.
    6. Lopez Lopez, Guadalupe & Schacht Rodriguez, Ricardo & Alvarado, Victor M. & Gomez-Aguilar, J.F. & Mota, Juan E. & Sandoval, Cinda, 2017. "Hybrid PEMFC-supercapacitor system: Modeling and energy management in energetic macroscopic representation," Applied Energy, Elsevier, vol. 205(C), pages 1478-1494.
    7. Yan, Wei-Mon & Wang, Xiao-Dong & Lee, Duu-Jong & Zhang, Xin-Xin & Guo, Yi-Fan & Su, Ay, 2011. "Experimental study of commercial size proton exchange membrane fuel cell performance," Applied Energy, Elsevier, vol. 88(1), pages 392-396, January.
    8. Hou, Yongping & Shen, Caoyuan & Yang, Zhihua & He, Yuntang, 2012. "A dynamic voltage model of a fuel cell stack considering the effects of hydrogen purge operation," Renewable Energy, Elsevier, vol. 44(C), pages 246-251.
    9. Tang, Yong & Yuan, Wei & Pan, Minqiang & Wan, Zhenping, 2011. "Experimental investigation on the dynamic performance of a hybrid PEM fuel cell/battery system for lightweight electric vehicle application," Applied Energy, Elsevier, vol. 88(1), pages 68-76, January.
    10. Lombardi, Simone & Di Ilio, Giovanni & Tribioli, Laura & Jannelli, Elio, 2023. "Optimal design of an adaptive energy management strategy for a fuel cell tractor operating in ports," Applied Energy, Elsevier, vol. 352(C).
    11. Wang, Qianqian & Tang, Fumin & Li, Bing & Dai, Haifeng & Zheng, Jim P. & Zhang, Cunman & Ming, Pingwen, 2022. "Investigation of the thermal responses under gas channel and land inside proton exchange membrane fuel cell with assembly pressure," Applied Energy, Elsevier, vol. 308(C).
    12. Zou, Wei & Froning, Dieter & Shi, Yan & Lehnert, Werner, 2021. "Working zone for a least-squares support vector machine for modeling polymer electrolyte fuel cell voltage," Applied Energy, Elsevier, vol. 283(C).
    13. Jung, Guo-Bin & Tzeng, Wei-Jen & Jao, Ting-Chu & Liu, Yu-Hsu & Yeh, Chia-Chen, 2013. "Investigation of porous carbon and carbon nanotube layer for proton exchange membrane fuel cells," Applied Energy, Elsevier, vol. 101(C), pages 457-464.
    14. Macias, A. & Kandidayeni, M. & Boulon, L. & Trovão, J.P., 2021. "Fuel cell-supercapacitor topologies benchmark for a three-wheel electric vehicle powertrain," Energy, Elsevier, vol. 224(C).
    15. Liu, Ze & Zhang, Baitao & Xu, Sichuan, 2022. "Research on air mass flow-pressure combined control and dynamic performance of fuel cell system for vehicles application," Applied Energy, Elsevier, vol. 309(C).
    16. Bizon, Nicu, 2014. "Tracking the maximum efficiency point for the FC system based on extremum seeking scheme to control the air flow," Applied Energy, Elsevier, vol. 129(C), pages 147-157.
    17. Devin Fowler & Vladimir Gurau & Daniel Cox, 2019. "Bridging the Gap between Automated Manufacturing of Fuel Cell Components and Robotic Assembly of Fuel Cell Stacks," Energies, MDPI, vol. 12(19), pages 1-14, September.
    18. Pei, Pucheng & Chen, Huicui, 2014. "Main factors affecting the lifetime of Proton Exchange Membrane fuel cells in vehicle applications: A review," Applied Energy, Elsevier, vol. 125(C), pages 60-75.
    19. Wu, Horng-Wen & Ku, Hui-Wen, 2011. "The optimal parameters estimation for rectangular cylinders installed transversely in the flow channel of PEMFC from a three-dimensional PEMFC model and the Taguchi method," Applied Energy, Elsevier, vol. 88(12), pages 4879-4890.
    20. Xuqu Hu & Xingyi Wang & Juanzhong Chen & Qinwen Yang & Dapeng Jin & Xiang Qiu, 2017. "Numerical Investigations of the Combined Effects of Flow Rate and Methanol Concentration on DMFC Performance," Energies, MDPI, vol. 10(8), pages 1-15, July.

    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:gam:jeners:v:16:y:2023:i:2:p:664-:d:1026608. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.