IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v285y2023ics0360544223025707.html
   My bibliography  Save this article

Adaptive look-ahead model predictive control strategy of vehicular PEMFC thermal management

Author

Listed:
  • Liu, Zhaoming
  • Chang, Guofeng
  • Yuan, Hao
  • Tang, Wei
  • Xie, Jiaping
  • Wei, Xuezhe
  • Dai, Haifeng

Abstract

This study presents an improved model predictive control (MPC) strategy for the thermal management of vehicular fuel cells, with the incorporation of model adaptation, the utilization of look-ahead information, and temperature trajectory planning. To describe the thermal dynamics of the fuel cell cooling system, a three-volume model of a 60 kW fuel cell system is proposed and validated with dynamic load experiments. Additionally, a fuel cell temperature sensitivity experiment is conducted to identify a comfort temperature reference. The predictive models developed to cover the entire range of power levels are based on the integration of look-ahead power information and weigh adjustment of actuators. Results from the analysis of look-ahead times suggest that a 4-s preview is suitable for mitigating fuel cell dry and flooding risks. Dynamic control results demonstrate a 22%–60% reduction in temperature tracking error compared to MPC-H, MPC-M, MPC-L and MPID, while energy-saving abilities are increased by 50% relative to MPID, contributing to improve the state balance and economy for vehicular fuel cells.

Suggested Citation

  • Liu, Zhaoming & Chang, Guofeng & Yuan, Hao & Tang, Wei & Xie, Jiaping & Wei, Xuezhe & Dai, Haifeng, 2023. "Adaptive look-ahead model predictive control strategy of vehicular PEMFC thermal management," Energy, Elsevier, vol. 285(C).
    • Handle: RePEc:eee:energy:v:285:y:2023:i:c:s0360544223025707
    DOI: 10.1016/j.energy.2023.129176
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223025707
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.129176?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. Li, Xunming & Han, Lijin & Liu, Hui & Wang, Weida & Xiang, Changle, 2019. "Real-time optimal energy management strategy for a dual-mode power-split hybrid electric vehicle based on an explicit model predictive control algorithm," Energy, Elsevier, vol. 172(C), pages 1161-1178.
    2. Song, Zhen & Pan, Yue & Chen, Huicui & Zhang, Tong, 2021. "Effects of temperature on the performance of fuel cell hybrid electric vehicles: A review," Applied Energy, Elsevier, vol. 302(C).
    3. Zhang, Bo & Lin, Fei & Zhang, Caizhi & Liao, Ruiyue & Wang, Ya-Xiong, 2020. "Design and implementation of model predictive control for an open-cathode fuel cell thermal management system," Renewable Energy, Elsevier, vol. 154(C), pages 1014-1024.
    4. 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).
    5. Chen, Qin & Zhang, Guobin & Zhang, Xuzhong & Sun, Cheng & Jiao, Kui & Wang, Yun, 2021. "Thermal management of polymer electrolyte membrane fuel cells: A review of cooling methods, material properties, and durability," Applied Energy, Elsevier, vol. 286(C).
    6. Zeng, Tao & Zhang, Caizhi & Zhang, Yanyi & Deng, Chenghao & Hao, Dong & Zhu, Zhongwen & Ran, Hongxu & Cao, Dongpu, 2021. "Optimization-oriented adaptive equivalent consumption minimization strategy based on short-term demand power prediction for fuel cell hybrid vehicle," Energy, Elsevier, vol. 227(C).
    7. 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).
    8. Zhao, Lei & Hong, Jichao & Xie, Jiaping & Jiang, Shangfeng & Wei, Xuezhe & Ming, Pingwen & Dai, Haifeng, 2023. "Investigation of local sensitivity for vehicle-oriented fuel cell stacks based on electrochemical impedance spectroscopy," Energy, Elsevier, vol. 262(PA).
    9. Kui Jiao & Jin Xuan & Qing Du & Zhiming Bao & Biao Xie & Bowen Wang & Yan Zhao & Linhao Fan & Huizhi Wang & Zhongjun Hou & Sen Huo & Nigel P. Brandon & Yan Yin & Michael D. Guiver, 2021. "Designing the next generation of proton-exchange membrane fuel cells," Nature, Nature, vol. 595(7867), pages 361-369, July.
    10. Sultana, W. Razia & Sahoo, Sarat Kumar & Sukchai, Sukruedee & Yamuna, S. & Venkatesh, D., 2017. "A review on state of art development of model predictive control for renewable energy applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 391-406.
    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. 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).
    2. Cao, Qiming & Min, Haitao & Sun, Weiyi & Zhao, Honghui & Yu, Yuanbin & Zhang, Zhaopu & Jiang, Junyu, 2024. "A method of combining active and passive strategies by genetic algorithm in multi-stage cold start of proton exchange membrane fuel cell," Energy, Elsevier, vol. 288(C).
    3. Tang, Xingwang & Zhang, Yujia & Xu, Sichuan, 2023. "Experimental study of PEM fuel cell temperature characteristic and corresponding automated optimal temperature calibration model," Energy, Elsevier, vol. 283(C).
    4. Yu, Xingzi & Zhang, Caizhi & Li, Mengxiao & Wang, Gucheng & Tu, Zhengkai & Yu, Tao & Dong, Hui & Zhao, Fuqiang, 2024. "Thermal management of an open-cathode PEMFC based on constraint generalized predictive control and optimized strategy," Renewable Energy, Elsevier, vol. 220(C).
    5. Zhiming Zhang & Sai Wu & Kunpeng Li & Jiaming Zhou & Caizhi Zhang & Guofeng Wang & Tong Zhang, 2022. "An Effective Force-Temperature-Humidity Coupled Modeling for PEMFC Performance Parameter Matching by Using CFD and FEA Co-Simulation," Sustainability, MDPI, vol. 14(21), pages 1-18, November.
    6. Chen, Ben & Deng, Qihao & Yang, Guanghua & Zhou, Yu & Chen, Wenshang & Cai, Yonghua & Tu, Zhengkai, 2023. "Numerical study on heat transfer characteristics and performance evaluation of PEMFC based on multiphase electrochemical model coupled with cooling channel," Energy, Elsevier, vol. 285(C).
    7. 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.
    8. 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).
    9. Su, Chao & Chen, Zhidong & Wu, Zexuan & Zhang, Jing & Li, Kaiyang & Hao, Junhong & Kong, Yanqiang & Zhang, Naiqiang, 2024. "Experimental and numerical study of thermal coupling on catalyst-coated membrane for proton exchange membrane water electrolyzer," Applied Energy, Elsevier, vol. 357(C).
    10. 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).
    11. Zhiming Zhang & Sai Wu & Huimin Miao & Tong Zhang, 2022. "Numerical Investigation of Flow Channel Design and Tapered Slope Effects on PEM Fuel Cell Performance," Sustainability, MDPI, vol. 14(18), pages 1-15, September.
    12. Dong, Peng & Zhao, Junwei & Liu, Xuewu & Wu, Jian & Xu, Xiangyang & Liu, Yanfang & Wang, Shuhan & Guo, Wei, 2022. "Practical application of energy management strategy for hybrid electric vehicles based on intelligent and connected technologies: Development stages, challenges, and future trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 170(C).
    13. Min, Dehao & Song, Zhen & Chen, Huicui & Wang, Tianxiang & Zhang, Tong, 2022. "Genetic algorithm optimized neural network based fuel cell hybrid electric vehicle energy management strategy under start-stop condition," Applied Energy, Elsevier, vol. 306(PB).
    14. 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).
    15. Kunang Li & Chunchun Jia & Xuefeng Han & Hongwen He, 2023. "A Novel Minimal-Cost Power Allocation Strategy for Fuel Cell Hybrid Buses Based on Deep Reinforcement Learning Algorithms," Sustainability, MDPI, vol. 15(10), pages 1-15, May.
    16. Huang, Ying & Song, Jiangnan & Deng, Xinyue & Chen, Su & Zhang, Xiang & Ma, Zongpeng & Chen, Lunjun & Wu, Yanli, 2023. "Numerical investigation of baffle shape effects on performance and mass transfer of proton exchange membrane fuel cell," Energy, Elsevier, vol. 266(C).
    17. Xia, Zhifeng & Chen, Huicui & Zhang, Ruirui & Weng, Qianyao & Zhang, Tong & Pei, Pucheng, 2023. "Behavior analysis of PEMFC with geometric configuration variation during multiple-step loading reduction process," Applied Energy, Elsevier, vol. 349(C).
    18. Zhao, Junjie & Chang, Huawei & Luo, Xiaobing & Tu, Zhengkai & Chan, Siew Hwa, 2022. "Dynamic analysis of a CCHP system based on fuel cells integrated with methanol-reforming and dehumidification for data centers," Applied Energy, Elsevier, vol. 309(C).
    19. Jia, Fei & Tian, Xiaodi & Liu, Fengfeng & Ye, Junjie & Yang, Chengpeng, 2023. "Oxidant starvation under various operating conditions on local and transient performance of proton exchange membrane fuel cells," Applied Energy, Elsevier, vol. 331(C).
    20. 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).

    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:285:y:2023:i:c:s0360544223025707. 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.