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Experimental investigation and theoretical analysis of heat pump systems with two different injection portholes compressors for electric vehicles

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  • Qin, Fei
  • Zhang, Guiying
  • Xue, Qingfeng
  • Zou, Huiming
  • Tian, Changqing

Abstract

The traditional Air Source Heat Pump (ASHP) for Electric Vehicles (EVs) has many limits in cold region because of poor heating performance and operating safety in low ambient temperature, which can be solved by the ASHP with refrigerant injection. A test bench that can be switched between a traditional ASHP system and a refrigerant injection ASHP system for EVs in the cold region is developed in this study. Compressors applied in the test bench are refitted with different injection portholes from the regular electric scroll compressor to analyze the influence of porthole shape on the system performance. The experimental results show that the heating capacity of refrigerant injection ASHP system is raised up by 28.6% compared with the traditional system. The larger injection porthole helps to increase the heating capacity when in-car inlet air temperature is higher, and the effect of injection porthole shapes to injection process and refrigerant cycle is also analyzed. The research will contribute to the application of refrigerant injection technology in EVs.

Suggested Citation

  • Qin, Fei & Zhang, Guiying & Xue, Qingfeng & Zou, Huiming & Tian, Changqing, 2017. "Experimental investigation and theoretical analysis of heat pump systems with two different injection portholes compressors for electric vehicles," Applied Energy, Elsevier, vol. 185(P2), pages 2085-2093.
    • Handle: RePEc:eee:appene:v:185:y:2017:i:p2:p:2085-2093
    DOI: 10.1016/j.apenergy.2015.12.032
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    References listed on IDEAS

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    6. Kim, Dongwoo & Song, Kang Sub & Lim, Junyub & Kim, Yongchan, 2018. "Analysis of two-phase injection heat pump using artificial neural network considering APF and LCCP under various weather conditions," Energy, Elsevier, vol. 155(C), pages 117-127.
    7. Yuan, Zhipeng & Liu, Qi & Luo, Baojun & Li, Zhenming & Fu, Jianqin & Chen, Jingwei, 2018. "Thermodynamic analysis of different oil flooded compression enhanced vapor injection cycles," Energy, Elsevier, vol. 154(C), pages 553-560.
    8. Zhang, Zhenying & Wang, Jiayu & Feng, Xu & Chang, Li & Chen, Yanhua & Wang, Xingguo, 2018. "The solutions to electric vehicle air conditioning systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 443-463.
    9. Zhang, Nan & Lu, Yiji & Kadam, Sambhaji & Yu, Zhibin, 2023. "A fuel cell range extender integrating with heat pump for cabin heat and power generation," Applied Energy, Elsevier, vol. 348(C).
    10. Han, Gwangwoo & Joo, Hong-Jin & Lim, Hee-Won & An, Young-Sub & Lee, Wang-Je & Lee, Kyoung-Ho, 2023. "Data-driven heat pump operation strategy using rainbow deep reinforcement learning for significant reduction of electricity cost," Energy, Elsevier, vol. 270(C).
    11. Wang, L.W. & Jiang, L. & Gao, J. & Gao, P. & Wang, R.Z., 2017. "Analysis of resorption working pairs for air conditioners of electric vehicles," Applied Energy, Elsevier, vol. 207(C), pages 594-603.
    12. Zou, Huiming & Li, Xuan & Tang, Mingsheng & Wu, Jiang & Tian, Changqing & Butrymowicz, Dariusz & Ma, Yongde & Wang, Jin, 2020. "Temperature stage matching and experimental investigation of high-temperature cascade heat pump with vapor injection," Energy, Elsevier, vol. 212(C).
    13. Kim, Dongwoo & Chung, Hyun Joon & Jeon, Yongseok & Jang, Dong Soo & Kim, Yongchan, 2017. "Optimization of the injection-port geometries of a vapor injection scroll compressor based on SCOP under various climatic conditions," Energy, Elsevier, vol. 135(C), pages 442-454.

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