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Research on Control Algorithm of Proton Exchange Membrane Fuel Cell Cooling System

Author

Listed:
  • Tiancai Ma

    (Clean Energy Automotive Engineering Center, Tongji University, Shanghai 201804, China
    School of Automotive Studies, Tongji University, Shanghai 201804, China)

  • Weikang Lin

    (Clean Energy Automotive Engineering Center, Tongji University, Shanghai 201804, China
    School of Automotive Studies, Tongji University, Shanghai 201804, China)

  • Yanbo Yang

    (Clean Energy Automotive Engineering Center, Tongji University, Shanghai 201804, China
    School of Automotive Studies, Tongji University, Shanghai 201804, China)

  • Ming Cong

    (Clean Energy Automotive Engineering Center, Tongji University, Shanghai 201804, China
    School of Automotive Studies, Tongji University, Shanghai 201804, China)

  • Zhuoping Yu

    (Clean Energy Automotive Engineering Center, Tongji University, Shanghai 201804, China
    School of Automotive Studies, Tongji University, Shanghai 201804, China)

  • Qiongqiong Zhou

    (School of Economics and Management, Beihang University, Beijing 100191, China
    National Science and Technology Infrastructure Center, Ministry of Science and Technology of the People’s Republic of China, Beijing 100862, China)

Abstract

The proton exchange membrane fuel cell (PEMFC) is taken to be the ultimate technical direction of vehicle power. Cooling system is a key component which directly affects the fuel cell performance, reliability and durability. For the purpose of keeping accurate temperature control under dynamic loads and achieving rapid warm-up control during cold-start, a 35 kW PEMFC’s cooling system dynamic model is established and validated by experiments firstly. According to the simulation results, the model can well be fitted to the actual system. Then an integrate separate PID (Proportional-Integral-Derivative) algorithm and cooling fan prestart strategy is proposed. The result shows that it can effectively reduce the temperature overshoot under dynamic loads. In view of the thermostat mechanical characteristics tend to cause large temperature fluctuation during warm-up process, a thermostat control strategy is proposed to reduce the temperature fluctuation from 7.5 °C to 0.4 °C.

Suggested Citation

  • Tiancai Ma & Weikang Lin & Yanbo Yang & Ming Cong & Zhuoping Yu & Qiongqiong Zhou, 2019. "Research on Control Algorithm of Proton Exchange Membrane Fuel Cell Cooling System," Energies, MDPI, vol. 12(19), pages 1-15, September.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:19:p:3692-:d:271218
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    References listed on IDEAS

    as
    1. Yu, Sangseok & Jung, Dohoy, 2008. "Thermal management strategy for a proton exchange membrane fuel cell system with a large active cell area," Renewable Energy, Elsevier, vol. 33(12), pages 2540-2548.
    2. Hwang, Jenn-Jiang, 2013. "Thermal control and performance assessment of a proton exchanger membrane fuel cell generator," Applied Energy, Elsevier, vol. 108(C), pages 184-193.
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    Cited by:

    1. Yang, Luo & Nik-Ghazali, Nik-Nazri & Ali, Mohammed A.H. & Chong, Wen Tong & Yang, Zhenzhong & Liu, Haichao, 2023. "A review on thermal management in proton exchange membrane fuel cells: Temperature distribution and control," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    2. Francesco Piraino & Petronilla Fragiacomo, 2020. "Design of an Equivalent Consumption Minimization Strategy-Based Control in Relation to the Passenger Number for a Fuel Cell Tram Propulsion," Energies, MDPI, vol. 13(15), pages 1-16, August.
    3. Jianying Liang & Yankun Li & Wenya Jia & Weikang Lin & Tiancai Ma, 2021. "Comparison of Two Energy Management Strategies Considering Power System Durability for PEMFC-LIB Hybrid Logistics Vehicle," Energies, MDPI, vol. 14(11), pages 1-24, June.
    4. Andrzej Wilk & Daniel Węcel, 2020. "Measurements Based Analysis of the Proton Exchange Membrane Fuel Cell Operation in Transient State and Power of Own Needs," Energies, MDPI, vol. 13(2), pages 1-19, January.

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