IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i15p4673-d606650.html
   My bibliography  Save this article

Steady-State Control of Fuel Cell Based on Boost Mode of a Dual Winding Motor

Author

Listed:
  • Cheng Chang

    (School of Automotive Engineering, Faculty of Vehicle Engineering and Mechanics, State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, Dalian 116024, China)

  • Weibin Chang

    (School of Automotive Engineering, Faculty of Vehicle Engineering and Mechanics, State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, Dalian 116024, China)

  • Jiangang Ma

    (School of Automotive Engineering, Faculty of Vehicle Engineering and Mechanics, State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, Dalian 116024, China)

  • Yafu Zhou

    (School of Automotive Engineering, Faculty of Vehicle Engineering and Mechanics, State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, Dalian 116024, China)

Abstract

In recent years, a dual winding motor drive has been proposed in the field of fuel cell vehicles due to its advantages of good performance and high robustness. This new topology and its basic control method have been widely investigated. However, the previous research has not considered the current dynamic property of a fuel cell when studying the power sharing control method, but this is an important research objective for fuel cell durability. Considering the current change principle of a fuel cell, an optimal steady-state control method based on a new dual winding motor architecture boost charging is proposed to optimize the fuel cell life. In addition, in view of the current circulation problem of the fuel cell side winding in the boost mode, a Bang-Bang-PI control algorithm with a relatively constant reference value is proposed to realize the current sharing control. On this basis, the optimized control of the output current ripple of the fuel cell is realized to ensure the steady-state of the proton exchange membrane fuel cell (PEMFC). Finally, the results show that this method can control the stability of the fuel cell efficiently.

Suggested Citation

  • Cheng Chang & Weibin Chang & Jiangang Ma & Yafu Zhou, 2021. "Steady-State Control of Fuel Cell Based on Boost Mode of a Dual Winding Motor," Energies, MDPI, vol. 14(15), pages 1-15, August.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:15:p:4673-:d:606650
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/15/4673/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/15/4673/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chen, Huicui & Pei, Pucheng & Song, Mancun, 2015. "Lifetime prediction and the economic lifetime of Proton Exchange Membrane fuel cells," Applied Energy, Elsevier, vol. 142(C), pages 154-163.
    2. Daud, W.R.W. & Rosli, R.E. & Majlan, E.H. & Hamid, S.A.A. & Mohamed, R. & Husaini, T., 2017. "PEM fuel cell system control: A review," Renewable Energy, Elsevier, vol. 113(C), pages 620-638.
    3. Yassine Kali & Magno Ayala & Jorge Rodas & Maarouf Saad & Jesus Doval-Gandoy & Raul Gregor & Khalid Benjelloun, 2019. "Current Control of a Six-Phase Induction Machine Drive Based on Discrete-Time Sliding Mode with Time Delay Estimation," Energies, MDPI, vol. 12(1), pages 1-17, January.
    4. Hsu, Chun-Ying & Weng, Fang-Bor & Su, Ay & Wang, Chao-Yang & Hussaini, Irfan Saif & Feng, Teng-Lang, 2009. "Transient phenomenon of step switching for current or voltage in PEMFC," Renewable Energy, Elsevier, vol. 34(8), pages 1979-1985.
    Full references (including those not matched with items on IDEAS)

    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. 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).
    2. Li, Tianyu & Liu, Huiying & Wang, Hui & Yao, Yongming, 2020. "Hierarchical predictive control-based economic energy management for fuel cell hybrid construction vehicles," Energy, Elsevier, vol. 198(C).
    3. 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.
    4. Komova, O.V. & Simagina, V.I. & Butenko, V.R. & Odegova, G.V. & Bulavchenko, O.A. & Nikolaeva, O.A. & Ozerova, A.M. & Lipatnikova, I.L. & Tayban, E.S. & Mukha, S.A. & Netskina, O.V., 2022. "Dehydrogenation of ammonia borane recrystallized by different techniques," Renewable Energy, Elsevier, vol. 184(C), pages 460-472.
    5. Aihua Tang & Lin Yang & Tao Zeng & Quanqing Yu, 2022. "Cascade Control Method of Sliding Mode and PID for PEMFC Air Supply System," Energies, MDPI, vol. 16(1), pages 1-13, December.
    6. Zheng Huang & Laisuo Su & Yunjie Yang & Linsong Gao & Xinyu Liu & Heng Huang & Yubai Li & Yongchen Song, 2023. "Three-Dimensional Simulation on the Effects of Different Parameters and Pt Loading on the Long-Term Performance of Proton Exchange Membrane Fuel Cells," Sustainability, MDPI, vol. 15(4), pages 1-22, February.
    7. Juhui Gim & Minsu Kim & Changsun Ahn, 2022. "Energy Management Control Strategy for Saving Trip Costs of Fuel Cell/Battery Electric Vehicles," Energies, MDPI, vol. 15(6), pages 1-15, March.
    8. Abdul Rehman Yasin & Muhammad Ashraf & Aamer Iqbal Bhatti, 2019. "A Novel Filter Extracted Equivalent Control Based Fixed Frequency Sliding Mode Approach for Power Electronic Converters," Energies, MDPI, vol. 12(5), pages 1-14, March.
    9. Martin Vrlić & Daniel Ritzberger & Stefan Jakubek, 2021. "Model-Predictive-Control-Based Reference Governor for Fuel Cells in Automotive Application Compared with Performance from a Real Vehicle," Energies, MDPI, vol. 14(8), pages 1-17, April.
    10. Huang, Ruchen & He, Hongwen & Gao, Miaojue, 2023. "Training-efficient and cost-optimal energy management for fuel cell hybrid electric bus based on a novel distributed deep reinforcement learning framework," Applied Energy, Elsevier, vol. 346(C).
    11. 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).
    12. Bizon, Nicu, 2019. "Efficient fuel economy strategies for the Fuel Cell Hybrid Power Systems under variable renewable/load power profile," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    13. 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.
    14. Yi Zhang & Qiang Guo & Jie Song, 2023. "Internet-Distributed Hardware-in-the-Loop Simulation Platform for Plug-In Fuel Cell Hybrid Vehicles," Energies, MDPI, vol. 16(18), pages 1-17, September.
    15. Nicu Bizon & Mircea Raceanu & Emmanouel Koudoumas & Adriana Marinoiu & Emmanuel Karapidakis & Elena Carcadea, 2020. "Renewable/Fuel Cell Hybrid Power System Operation Using Two Search Controllers of the Optimal Power Needed on the DC Bus," Energies, MDPI, vol. 13(22), pages 1-26, November.
    16. Ren, Peng & Pei, Pucheng & Chen, Dongfang & Li, Yuehua & Wu, Ziyao & Zhang, Lu & Li, Zizhao & Wang, Mingkai & Wang, He & Wang, Bozheng & Wang, Xizhong, 2022. "Novel analytic method of membrane electrode assembly parameters for fuel cell consistency evaluation by micro-current excitation," Applied Energy, Elsevier, vol. 306(PB).
    17. 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).
    18. Luo, Lizhong & Jian, Qifei & Huang, Bi & Huang, Zipeng & Zhao, Jing & Cao, Songyang, 2019. "Experimental study on temperature characteristics of an air-cooled proton exchange membrane fuel cell stack," Renewable Energy, Elsevier, vol. 143(C), pages 1067-1078.
    19. Pei, Pucheng & Wu, Ziyao & Li, Yuehua & Jia, Xiaoning & Chen, Dongfang & Huang, Shangwei, 2018. "Improved methods to measure hydrogen crossover current in proton exchange membrane fuel cell," Applied Energy, Elsevier, vol. 215(C), pages 338-347.
    20. Song, Yajie & Wang, Xinli & Wang, Lei & Pan, Fengwen & Chen, Wenmiao & Xi, Fuqiang, 2021. "A twin-nozzle ejector for hydrogen recirculation in wide power operation of polymer electrolyte membrane fuel cell system," Applied Energy, Elsevier, vol. 300(C).

    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:14:y:2021:i:15:p:4673-:d:606650. 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.