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In-depth characteristic analysis and wide range optimal operation of fuel cell using multi-model predictive control

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  • Fu, Hao
  • Shen, Jiong
  • Sun, Li
  • Lee, Kwang Y.

Abstract

Humidity and voltage are the critical parameters that have a significant influence on the thermal stability and electrical efficiency of the proton exchange membrane fuel cells (PEMFCs). However, the inherent coupling between the two parameters makes the controller design challenging from a system's perspective. Furthermore, frequent load fluctuations during fuel cell operation give rise to considerable fluctuations in voltage and humidity. To mitigate this undesirable variation, the system coupling of voltage and humidity and nonlinearity resulting from varying load are analyzed in this paper, where the coupled dynamics of relative humidity and output voltage are manipulated by the humidifier electrical power and compressor voltage. Based on the analysis, a multi-model predictive control (MMPC) scheme is formulated for the coupled plant dynamics, where the prediction model utilized is developed based on the subspace identification method for local models integrated with fuzzy membership weightings. The MMPC formulation has taken advantage of considering the actuator saturation and the allowable output range as input and output constraints. Simulation results show that the proposed MMPC can improve the tracking performance with a flexible trade-off between the relative humidity and output voltage.

Suggested Citation

  • Fu, Hao & Shen, Jiong & Sun, Li & Lee, Kwang Y., 2021. "In-depth characteristic analysis and wide range optimal operation of fuel cell using multi-model predictive control," Energy, Elsevier, vol. 234(C).
    • Handle: RePEc:eee:energy:v:234:y:2021:i:c:s0360544221014742
    DOI: 10.1016/j.energy.2021.121226
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    References listed on IDEAS

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    1. 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.
    2. Afra, Mehran & Nazari, Mohsen & Kayhani, Mohammad Hasan & Sharifpur, M. & Meyer, J.P., 2019. "3D experimental visualization of water flooding in proton exchange membrane fuel cells," Energy, Elsevier, vol. 175(C), pages 967-977.
    3. Corral-Vega, Pedro J. & García-Triviño, Pablo & Fernández-Ramírez, Luis M., 2019. "Design, modelling, control and techno-economic evaluation of a fuel cell/supercapacitors powered container crane," Energy, Elsevier, vol. 186(C).
    4. Koubaa, Rayhane & Bacha, Seddik & Smaoui, Mariem & krichen, Lotfi, 2020. "Robust optimization based energy management of a fuel cell/ultra-capacitor hybrid electric vehicle under uncertainty," Energy, Elsevier, vol. 200(C).
    5. Yang, Zirong & Du, Qing & Jia, Zhiwei & Yang, Chunguang & Xuan, Jin & Jiao, Kui, 2019. "A comprehensive proton exchange membrane fuel cell system model integrating various auxiliary subsystems," Applied Energy, Elsevier, vol. 256(C).
    6. Ozen, Dilek Nur & Timurkutluk, Bora & Altinisik, Kemal, 2016. "Effects of operation temperature and reactant gas humidity levels on performance of PEM fuel cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1298-1306.
    7. Barzegari, Mohammad M. & Alizadeh, Ebrahim & Pahnabi, Amir H., 2017. "Grey-box modeling and model predictive control for cascade-type PEMFC," Energy, Elsevier, vol. 127(C), pages 611-622.
    8. Lin, Rui & Wang, Hong & Zhu, Yu, 2021. "Optimizing the structural design of cathode catalyst layer for PEM fuel cells for improving mass-specific power density," Energy, Elsevier, vol. 221(C).
    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.
    10. Yang, Zirong & Du, Qing & Jia, Zhiwei & Yang, Chunguang & Jiao, Kui, 2019. "Effects of operating conditions on water and heat management by a transient multi-dimensional PEMFC system model," Energy, Elsevier, vol. 183(C), pages 462-476.
    11. Kadri, Ameni & Marzougui, Hajer & Aouiti, Abdelkrim & Bacha, Faouzi, 2020. "Energy management and control strategy for a DFIG wind turbine/fuel cell hybrid system with super capacitor storage system," Energy, Elsevier, vol. 192(C).
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    Cited by:

    1. Ouyang, Tiancheng & Lu, Jie & Xu, Peihang & Hu, Xiaoyi & Chen, Jingxian, 2022. "High-efficiency fuel utilization innovation in microfluidic fuel cells: From liquid-feed to vapor-feed," Energy, Elsevier, vol. 240(C).
    2. Liu, Haoran & Yu, Jiaqi & Wang, Ruzhu, 2022. "Model predictive control of portable electronic devices under skin temperature constraints," Energy, Elsevier, vol. 260(C).

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