IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v335y2023ics0306261923001204.html
   My bibliography  Save this article

Feedforward-based decoupling control of air supply for vehicular fuel cell system: Methodology and experimental validation

Author

Listed:
  • Zeng, Tao
  • Xiao, Long
  • Chen, Jinrui
  • Li, Yu
  • Yang, Yi
  • Huang, Shulong
  • Deng, Chenghao
  • Zhang, Caizhi

Abstract

Insufficient and time-delayed air supply reduces the performance and durability of fuel cell system in vehicular application. Considering the strong coupling between mass flow and pressure, the air supply subsystem is a complex two-input-two-output control object. A decoupling control method based on feedforward structure is proposed to independently control the intake mass flow and pressure. Through look-up tables established based on experimental results of compressor speed and throttle angle versus mass flow and pressure, the proposed method is able to quickly provide feedforward-based control reference for actuators. The control error of feedforward part is further eliminated by feedback loops designed using diagonal matrix decoupling method, which compensates compressor speed and throttle angle in a coordinated manner. The proposed method has been comprehensively validated through bench and real-world experiments using a prototype fuel cell vehicle. The results show that the proposed method effectively reduces the interaction of the coupled loops, achieving higher accuracy and stability. Compared with the strategy without decoupling compensation in feedback loops, the relative error is controlled within [-1%, 1%] with smaller variance and less control effort. Besides, according to real-world vehicle experiments, the proposed method has better anti-disturbance performance to air speed turbulence under varying vehicle speed.

Suggested Citation

  • Zeng, Tao & Xiao, Long & Chen, Jinrui & Li, Yu & Yang, Yi & Huang, Shulong & Deng, Chenghao & Zhang, Caizhi, 2023. "Feedforward-based decoupling control of air supply for vehicular fuel cell system: Methodology and experimental validation," Applied Energy, Elsevier, vol. 335(C).
    • Handle: RePEc:eee:appene:v:335:y:2023:i:c:s0306261923001204
    DOI: 10.1016/j.apenergy.2023.120756
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261923001204
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2023.120756?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. Hou, Junbo & Yang, Min & Ke, Changchun & Zhang, Junliang, 2020. "Control logics and strategies for air supply in PEM fuel cell engines," Applied Energy, Elsevier, vol. 269(C).
    2. Kim, Bosung & Cha, Dowon & Kim, Yongchan, 2015. "The effects of air stoichiometry and air excess ratio on the transient response of a PEMFC under load change conditions," Applied Energy, Elsevier, vol. 138(C), pages 143-149.
    3. Xiao Tang & Chunsheng Wang & Yukun Hu & Zijian Liu & Feiliang Li, 2021. "Adaptive Fuzzy PID Based on Granular Function for Proton Exchange Membrane Fuel Cell Oxygen Excess Ratio Control," Energies, MDPI, vol. 14(4), pages 1-18, February.
    4. 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).
    5. Chen, Huicui & Liu, Biao & Zhang, Tong & Pei, Pucheng, 2019. "Influencing sensitivities of critical operating parameters on PEMFC output performance and gas distribution quality under different electrical load conditions," Applied Energy, Elsevier, vol. 255(C).
    6. 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).
    7. 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.
    8. Wang, Junye, 2017. "System integration, durability and reliability of fuel cells: Challenges and solutions," Applied Energy, Elsevier, vol. 189(C), pages 460-479.
    9. Sun, Li & Shen, Jiong & Hua, Qingsong & Lee, Kwang Y., 2018. "Data-driven oxygen excess ratio control for proton exchange membrane fuel cell," Applied Energy, Elsevier, vol. 231(C), pages 866-875.
    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. Pal, Anuj & Cornelius, Andrew & Sun, Zongxuan & Kim, Kenneth & Kweon, Chol-Bum Mike, 2024. "Data-driven real-time fuel cetane estimation and control design for multifuel UAVs," Applied Energy, Elsevier, vol. 367(C).
    2. Peng Yin & Jinzhou Chen & Hongwen He, 2023. "Control of Oxygen Excess Ratio for a PEMFC Air Supply System by Intelligent PID Methods," Sustainability, MDPI, vol. 15(11), pages 1-20, May.
    3. Fan, Ruijia & Chang, Guofeng & Xu, Yiming & Zhang, Yuanzhi, 2024. "Investigating the transient electrical behaviors in PEM fuel cells under various platinum distributions within cathode catalyst layers," Applied Energy, Elsevier, vol. 359(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. Sanghyun Yun & Jinwon Yun & Jaeyoung Han, 2023. "Development of a 470-Horsepower Fuel Cell–Battery Hybrid Xcient Dynamic Model Using Simscape TM," Energies, MDPI, vol. 16(24), pages 1-22, December.
    2. 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).
    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. Quan, Shengwei & Wang, Ya-Xiong & Xiao, Xuelian & He, Hongwen & Sun, Fengchun, 2021. "Feedback linearization-based MIMO model predictive control with defined pseudo-reference for hydrogen regulation of automotive fuel cells," Applied Energy, Elsevier, vol. 293(C).
    5. Chen, Dongfang & Pei, Pucheng & Meng, Yining & Ren, Peng & Li, Yuehua & Wang, Mingkai & Wang, Xizhong, 2022. "Novel extraction method of working condition spectrum for the lifetime prediction and energy management strategy evaluation of automotive fuel cells," Energy, Elsevier, vol. 255(C).
    6. 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).
    7. Wang, Xuechao & Chen, Jinzhou & Quan, Shengwei & Wang, Ya-Xiong & He, Hongwen, 2020. "Hierarchical model predictive control via deep learning vehicle speed predictions for oxygen stoichiometry regulation of fuel cells," Applied Energy, Elsevier, vol. 276(C).
    8. Hou, Junbo & Yang, Min & Ke, Changchun & Zhang, Junliang, 2020. "Control logics and strategies for air supply in PEM fuel cell engines," Applied Energy, Elsevier, vol. 269(C).
    9. Komini Babu, S. & Spernjak, D. & Dillet, J. & Lamibrac, A. & Maranzana, G. & Didierjean, S. & Lottin, O. & Borup, R.L. & Mukundan, R., 2019. "Spatially resolved degradation during startup and shutdown in polymer electrolyte membrane fuel cell operation," Applied Energy, Elsevier, vol. 254(C).
    10. Zhang, Tong & Wang, Peiqi & Chen, Huicui & Pei, Pucheng, 2018. "A review of automotive proton exchange membrane fuel cell degradation under start-stop operating condition," Applied Energy, Elsevier, vol. 223(C), pages 249-262.
    11. Zhang, Hongtao & Li, Xianguo & Liu, Xinzhi & Yan, Jinyue, 2019. "Enhancing fuel cell durability for fuel cell plug-in hybrid electric vehicles through strategic power management," Applied Energy, Elsevier, vol. 241(C), pages 483-490.
    12. Pei, Pucheng & Meng, Yining & Chen, Dongfang & Ren, Peng & Wang, Mingkai & Wang, Xizhong, 2023. "Lifetime prediction method of proton exchange membrane fuel cells based on current degradation law," Energy, Elsevier, vol. 265(C).
    13. Chen, Huicui & Zhang, Ruirui & Xia, Zhifeng & Weng, Qianyao & Zhang, Tong & Pei, Pucheng, 2023. "Experimental investigation on PEM fuel cell flooding mitigation under heavy loading condition," Applied Energy, Elsevier, vol. 349(C).
    14. Dong Zhu & Yanbo Yang & Tiancai Ma, 2022. "Evaluation the Resistance Growth of Aged Vehicular Proton Exchange Membrane Fuel Cell Stack by Distribution of Relaxation Times," Sustainability, MDPI, vol. 14(9), pages 1-19, May.
    15. Huo, Sen & Cooper, Nathanial James & Smith, Travis Lee & Park, Jae Wan & Jiao, Kui, 2017. "Experimental investigation on PEM fuel cell cold start behavior containing porous metal foam as cathode flow distributor," Applied Energy, Elsevier, vol. 203(C), pages 101-114.
    16. Zeng, Tao & Zhang, Caizhi & Hao, Dong & Cao, Dongpu & Chen, Jiawei & Chen, Jinrui & Li, Jin, 2020. "Data-driven approach for short-term power demand prediction of fuel cell hybrid vehicles," Energy, Elsevier, vol. 208(C).
    17. Huang, Fuxiang & Qiu, Diankai & Xu, Zhutian & Peng, Linfa & Lai, Xinmin, 2021. "Analysis and improvement of flow distribution in manifold for proton exchange membrane fuel cell stacks," Energy, Elsevier, vol. 226(C).
    18. Yuan, Hao & Dai, Haifeng & Wei, Xuezhe & Ming, Pingwen, 2020. "A novel model-based internal state observer of a fuel cell system for electric vehicles using improved Kalman filter approach," Applied Energy, Elsevier, vol. 268(C).
    19. Gong, Zhichao & Wang, Bowen & Xu, Yifan & Ni, Meng & Gao, Qingchen & Hou, Zhongjun & Cai, Jun & Gu, Xin & Yuan, Xinjie & Jiao, Kui, 2022. "Adaptive optimization strategy of air supply for automotive polymer electrolyte membrane fuel cell in life cycle," Applied Energy, Elsevier, vol. 325(C).
    20. Pandu Ranga Tirumalasetti & Fang-Bor Weng & Mangaliso Menzi Dlamini & Chia-Hung Chen, 2024. "Numerical Simulation of Double Layered Wire Mesh Integration on the Cathode for a Proton Exchange Membrane Fuel Cell (PEMFC)," Energies, MDPI, vol. 17(2), pages 1-15, January.

    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:335:y:2023:i:c:s0306261923001204. 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.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.