流体机械

2021, v.49;No.588(06) 79-85

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电动汽车引射热泵系统性能模拟研究
Simulation study on performance of heat pump system with ejector for electric vehicle

张丹丹;郭宪民;吴琦琦;
ZHANG Dandan;GUO Xianmin;WU Qiqi;Tianjin Key Laboratory of Refrigeration Technology,Tianjin University of Commerce;

摘要(Abstract):

为了提高电动汽车空调系统的性能,在传统热泵系统中采用引射器形成梯级蒸发,提出了一种新型电动汽车引射热泵系统。采用集总参数法建立了系统的稳态数值模型,模拟分析了引射热泵系统在不同工况下的性能,并与传统热泵系统进行了对比。模拟结果表明:在冬季制热工况下,降低冷凝温度或提高蒸发温度使引射器的引射比减小,但其压力提升比、系统制热量及COP均增大;在不同蒸发或冷凝温度条件下,随压缩机转速增加,系统制热量有所增加,系统COP减小,但转速对引射器性能的影响很小;在模拟工况范围内,引射热泵系统COP始终高于传统热泵系统的COP,最高改善的幅度约为20.3%。研究结果为引射器在电动汽车热泵空调系统中的应用提供了参考。
In order to improve the performance of the air conditioning system for the electric vehicle,an innovative heat pump system for the electric vehicle is proposed,in which the ejector is used to form step evaporation.The lumped parameter method is used to establish the steady-state numerical model of the heat pump system.The performance of the heat pump system with ejector is simulated and analyzed under different working conditions,and is compared with that of the traditional heat pump system.The simulation results show that in winter heating condition,reducing the condensation temperature or increasing the evaporation temperature makes the entrainment ratio of the ejector decrease,but the pressure lift ratio of the ejector,the system heating capacity and COP increase.Under different evaporation or condensation temperature conditions,as the compressor speed increases,the system heating capacity increases,and the system COP decreases,while the compressor speed has little effect on the performance of the ejector.Within the range of the simulated working conditions,the COP of the heat pump system with ejector is always higher than that of the traditional heat pump system,and the amplitude of the highest improvement is about 20.3%.The research results provide a reference for the application of ejector in the heat pump air conditioning system for theelectric vehicle.

关键词(KeyWords): 电动汽车;热泵系统;引射器;性能预测
electric vehicle;heat pump system;ejector;performance prediction

Abstract:

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基金项目(Foundation): 国家自然科学基金资助项目(51176142)

作者(Author): 张丹丹;郭宪民;吴琦琦;
ZHANG Dandan;GUO Xianmin;WU Qiqi;Tianjin Key Laboratory of Refrigeration Technology,Tianjin University of Commerce;

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