4.7 Article

Pseudo-optimal discharge pressure analysis of transcritical CO2 electric vehicle heat pumps due to temperature glide

期刊

APPLIED THERMAL ENGINEERING
卷 215, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.applthermaleng.2022.118856

关键词

CO2 heat pump; Pseudo-optimal discharge pressure; Temperature glide; Performance optimization; Electric vehicle

资金

  1. National Natural Science Foundation of China [51976153, 52006162]
  2. Founda- tion for Innovative Research Groups of the National Natural Science Foundation of China [51721004]

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This study investigates the cyclic characteristics of electric vehicle heat pumps under different operating modes and working conditions. A pseudo-optimal discharge pressure is determined based on the temperature glide at the outlet of the gas cooler, and its influence by key parameters is analyzed. The findings provide valuable information for comprehensive performance optimization of electric vehicle thermal management systems.
Performance improvement of electric vehicle heat pumps can enhance thermal comfort and reduce the power consumption of electric vehicles, hence stimulating their development. In this paper, the cyclic characteristics of an electric vehicle heat pump were studied under different operating modes and working conditions. Different from the optimal discharge pressure of conventional CO2 systems which was determined by the variation gradient characteristics of the transcritical isotherm, the discharge pressure of electric vehicle heat pumps at the peak COP value was defined as a pseudo-optimal discharge pressure and was determined by the obvious tem-perature glide at the outlet of the gas cooler. This pseudo-optimal discharge pressure existed at both transcritical and subcritical states. The difference in the pseudo-optimal discharge pressure between the subcritical or tran-scritical states was first evaluated. Then an in-depth analysis of the influence of key parameters on the pseudo -optimal discharge pressure was studied to develop an accurate prediction method since the traditional prediction methods were not applicable. The results showed that pseudo-optimal discharge pressure increased with the ambient temperature, inlet air temperature, and supply air temperature. This study provides valuable infor-mation for the comprehensive performance optimization of an electric vehicle thermal management system.

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