Research on Fuzzy Control Strategy of Heating Condition Based on Electric Vehicle Heat Pump Air Conditioner

Authors

  • Lin Xi
  • Longjie Wang
  • Chenlei Zhao
  • Xiao Luo
  • Bo Feng

DOI:

https://doi.org/10.54097/ajst.v3i3.2932

Keywords:

Heat pump air conditioning system, Fuzzy control, Heating conditions, Joint simulation.

Abstract

The performance of heat pump air-conditioning system under heating conditions is studied, and a fuzzy control strategy is proposed. The heating condition model of the heat pump air conditioning system is built in AMESim, and the control strategy model is established by Simulink for joint simulation, with the cab temperature as the target temperature of the system performance. Compared with the traditional control strategy, the control strategy designed in this paper can rapidly increase the temperature of the passenger compartment to the target temperature, and the temperature control accuracy is more accurate, the callback time is shorter, and the comfort is better.

References

Tadashi Osaka, Yuto Imanishi, Sachio Sekiya. Thermal Management System for EV[C]. SAE International, 2011-01-1336.

Yokoyama A, Osaka T, Imanishi Y, et al. Thermal Management System for Electric Vehicles[J]. SAE Technical Paper No. 2011-01-1336.

Xi Aimin. Fuzzy Control Technology [M]. Xi'an. Xi'an University of Electronic Science and Technology Press. 2008.

Guo Chong. Research on Control Strategy of Electric Vehicle Heat Pump Air Conditioner [D]. Beijing: Beijing University of Technology, 2016.

Kim,Yongchan,O'Neal,elc. Two-phase flow of HFC-134a and CFC-12 through short-tube Orifices[J].Proceedings of the ASHRAE Anual Metting,1994,582-591.

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Published

21 November 2022

How to Cite

Xi, L., Wang, L., Zhao, C., Luo, X., & Feng, B. (2022). Research on Fuzzy Control Strategy of Heating Condition Based on Electric Vehicle Heat Pump Air Conditioner. Academic Journal of Science and Technology, 3(3), 175–181. https://doi.org/10.54097/ajst.v3i3.2932

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Section

Articles