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Extended-range electric vehicle-oriented thermoelectric surge control of a solid oxide fuel cell system

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  • Wu, Xiao-long
  • Xu, Yuan-wu
  • Zhao, Dong-qi
  • Zhong, Xiao-bo
  • Li, Dong
  • Jiang, Jianhua
  • Deng, Zhonghua
  • Fu, Xiaowei
  • Li, Xi

Abstract

As an extended-range electric vehicle energy supply technology with high efficiency, solid oxide fuel cell thermoelectric surge has a negative impact on power stable output and energy conversion efficiency of vehicle during the dynamic process. In this paper, a black box mathematical model is identified using a kW-scale SOFC system with a reformer. This model includes the dynamic characteristics of key components (BOP) such as the stack, reformer, heat exchanger, and afterburner. Then, the model is simplified effectively to 7 input × 3 output mode. Compared with the actual SOFC system, the model identification accuracy is 86%, which takes 3.78s. Further, the system model and data are used to analyze the balance of plant response. It is found that the system thermoelectric safety is closely related with the steam to carbon ratio. Based on the analysis results of thermoelectric surge phenomenon, a data-driven predictive control strategy is developed to guarantee the system thermal safety and steady power generation by the cooperative control of fuel and air flow rate. The test results show that the proposed predictive controller solves effectively the system thermoelectric surge problem, and improve the energy conversion efficiency for extended-range electric vehicle.

Suggested Citation

  • Wu, Xiao-long & Xu, Yuan-wu & Zhao, Dong-qi & Zhong, Xiao-bo & Li, Dong & Jiang, Jianhua & Deng, Zhonghua & Fu, Xiaowei & Li, Xi, 2020. "Extended-range electric vehicle-oriented thermoelectric surge control of a solid oxide fuel cell system," Applied Energy, Elsevier, vol. 263(C).
    • Handle: RePEc:eee:appene:v:263:y:2020:i:c:s0306261920301409
    DOI: 10.1016/j.apenergy.2020.114628
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    Cited by:

    1. Gallo, Marco & Costabile, Carmine & Sorrentino, Marco & Polverino, Pierpaolo & Pianese, Cesare, 2020. "Development and application of a comprehensive model-based methodology for fault mitigation of fuel cell powered systems," Applied Energy, Elsevier, vol. 279(C).
    2. Xiao, B. & Ruan, J. & Yang, W. & Walker, P.D. & Zhang, N., 2021. "A review of pivotal energy management strategies for extended range electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    3. Eichhorn Colombo, Konrad W. & Kharton, Vladislav V. & Berto, Filippo & Paltrinieri, Nicola, 2020. "Mathematical modeling and simulation of hydrogen-fueled solid oxide fuel cell system for micro-grid applications - Effect of failure and degradation on transient performance," Energy, Elsevier, vol. 202(C).
    4. Yaping Wu & Xiaolong Wu & Yuanwu Xu & Yongjun Cheng & Xi Li, 2023. "A Novel Adaptive Neural Network-Based Thermoelectric Parameter Prediction Method for Enhancing Solid Oxide Fuel Cell System Efficiency," Sustainability, MDPI, vol. 15(19), pages 1-17, September.
    5. Dehghan, Ali Reza & Fanaei, Mohammad Ali & Panahi, Mehdi, 2022. "Economic plantwide control of a hybrid solid oxide fuel cell - gas turbine system," Applied Energy, Elsevier, vol. 328(C).
    6. Yin, Linfei & Liu, Dongduan, 2023. "Adaptive multistep model predictive control for tubular grid-connected solid oxide fuel cells," Renewable Energy, Elsevier, vol. 216(C).
    7. Ma, Shuai & Lin, Meng & Lin, Tzu-En & Lan, Tian & Liao, Xun & Maréchal, François & Van herle, Jan & Yang, Yongping & Dong, Changqing & Wang, Ligang, 2021. "Fuel cell-battery hybrid systems for mobility and off-grid applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    8. Lan, Song & Stobart, Richard & Wang, Xiaonan, 2022. "Matching and optimization for a thermoelectric generator applied in an extended-range electric vehicle for waste heat recovery," Applied Energy, Elsevier, vol. 313(C).

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