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Heat Dissipation Enhancement Structure Design of Two-Stage Electric Air Compressor for Fuel Cell Vehicles Considering Efficiency Improvement

Author

Listed:
  • Jiaming Zhou

    (School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China)

  • Jie Liu

    (School of Automotive Engineering, Shandong Jiaotong University, Jinan 250357, China)

  • Qingqing Su

    (School of Automotive Engineering, Shandong Jiaotong University, Jinan 250357, China)

  • Chunxiao Feng

    (School of Automotive Engineering, Shandong Jiaotong University, Jinan 250357, China)

  • Xingmao Wang

    (School of Automotive Engineering, Shandong Jiaotong University, Jinan 250357, China)

  • Donghai Hu

    (School of Automobile and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Fengyan Yi

    (School of Automotive Engineering, Shandong Jiaotong University, Jinan 250357, China)

  • Chunchun Jia

    (School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China)

  • Zhixian Fan

    (Zhongtong Bus Holding Co., Ltd., Liaocheng 252000, China)

  • Shangfeng Jiang

    (Zhengzhou Yutong Bus Co., Ltd., Zhengzhou 450000, China)

Abstract

As an auxiliary component with the largest energy consumption in the fuel cell power system, the electric air compressor is of great significance to improve the overall efficiency of the system by reducing its power consumption under the premise of meeting the cathode intake demand. In this paper, the flow state of the gas in the flow field of the fuel cell TSEAC (two-stage electric air compressor) is analyzed by simulation, and the accuracy of the simulation results is verified by experiments. Through the research on the gas compression work of the fuel cell TSEAC, it is found that the higher temperature rise of the gas during the compression process will increase the compression work, thereby reducing the efficiency of the fuel cell TSEAC. Therefore, based on the field synergy theory, this paper designs the heat dissipation structure of the TSEAC elbow. In the common working conditions of fuel cell TSEAC, micro-fin tube is an effective energy-saving structure that takes into account heat dissipation enhancement and flow resistance, and its ratio of micro-fin height to laminar bottom layer thickness ε/δ = 1.6 has the best energy-saving effect. Finally, the energy-saving effect of the micro-fin tube is verified by simulation. The load torque of the optimized fuel cell TSEAC is reduced from 1.540 N·m to 1.509 N·m, and the shaft power is reduced from 14.51 kW to 14.22 kW. Its efficiency increased by 1.9%.

Suggested Citation

  • Jiaming Zhou & Jie Liu & Qingqing Su & Chunxiao Feng & Xingmao Wang & Donghai Hu & Fengyan Yi & Chunchun Jia & Zhixian Fan & Shangfeng Jiang, 2022. "Heat Dissipation Enhancement Structure Design of Two-Stage Electric Air Compressor for Fuel Cell Vehicles Considering Efficiency Improvement," Sustainability, MDPI, vol. 14(12), pages 1-13, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:12:p:7259-:d:838126
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    References listed on IDEAS

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    1. Fengyan Yi & Dagang Lu & Xingmao Wang & Chaofeng Pan & Yuanxue Tao & Jiaming Zhou & Changli Zhao, 2022. "Energy Management Strategy for Hybrid Energy Storage Electric Vehicles Based on Pontryagin’s Minimum Principle Considering Battery Degradation," Sustainability, MDPI, vol. 14(3), pages 1-17, January.
    2. Tirnovan, R. & Giurgea, S. & Miraoui, A. & Cirrincione, M., 2009. "Modelling the characteristics of turbocompressors for fuel cell systems using hybrid method based on moving least squares," Applied Energy, Elsevier, vol. 86(7-8), pages 1283-1289, July.
    3. Zhang, Hongtao & Li, Xianguo & Liu, Xinzhi & Yan, Jinyue, 2019. "Enhancing fuel cell durability for fuel cell plug-in hybrid electric vehicles through strategic power management," Applied Energy, Elsevier, vol. 241(C), pages 483-490.
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    Cited by:

    1. Dagang Lu & Fengyan Yi & Jianwei Li, 2022. "Optimization of the Adaptability of the Fuel Cell Vehicle Waste Heat Utilization Subsystem to Extreme Cold Environments," Sustainability, MDPI, vol. 14(18), pages 1-19, September.
    2. Mojgan Fayyazi & Paramjotsingh Sardar & Sumit Infent Thomas & Roonak Daghigh & Ali Jamali & Thomas Esch & Hans Kemper & Reza Langari & Hamid Khayyam, 2023. "Artificial Intelligence/Machine Learning in Energy Management Systems, Control, and Optimization of Hydrogen Fuel Cell Vehicles," Sustainability, MDPI, vol. 15(6), pages 1-38, March.

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