Exergy Performance Analysis of an Electric Vehicle Heat Pump System Under Variable Conditions

Abstract

Abstract:

Abstract： Based on the experimental data and the first and second law of thermodynamics, outside air temperature and compressor speed, the coefficient of performance (COP) and exergy destruction and exergy efficiency of an electric vehicle heat pump system were deduced by changing conditions involving refrigerant (R134a) charge. The results show that the optimum refrigerant charge is at 400 g. The exergy destruction is within a range of 0.61-1.28 kW. The condenser and the evaporator has a relatively lower exergy efficiency (37.9%-53.1% for condenser and 34.2%-61.8% for evaporator, respectively).
Key words： electric vehicle heat pump system (EVHPS); refrigerant charge; variable conditions; exergy performance

CLC Number:

TK 123

SUN Xudong,GU Bo,TIAN Zhen. Exergy Performance Analysis of an Electric Vehicle Heat Pump System Under Variable Conditions[J]. Journal of Shanghai Jiaotong University, 2015, 49(05): 608-613.

References

［1］谢卓, 陈江平, 陈芝久. 电动车热泵空调系统的设计分析［J］. 汽车工程, 2006, 28(8): 763765.

XIE Zhuo, CHEN Jiangping, CHEN Zhijiu. The design and analysis of heat pump system in electric vehicle ［J］. Automobile Engineering, 2006, 28(8): 763765.

［2］Hosoz M, Direk M. Performance evaluation of an integrated automotive air conditioning and heat pump system ［J］. Energy Conversion and Management, 2006, 47(5): 545559.［3］Kim S C, Kim M S, Hwang I C, et al. Performance evaluation of a CO2 heat pump system for fuel cell vehicles considering the heat exchanger arrangements ［J］. International Journal of Refrigeration, 2007, 30(7): 11951206.

［4］Shin S, Yun C, Lim S J, et al. R134a heat pump application for the buses by using engine coolant as a heat source ［R］. USA: SAE Technical Paper, 2008012697, 2008.

［5］Lee D Y, Cho C W, Won J P, et al. Performance characteristics of mobile heat pump for a large passenger electric vehicle ［J］. Applied Thermal Engineering, 2013, 50(1): 660669.

［6］Chen L G, Zhu X Q, Sun F R, et al. Exergybased ecological optimization for a generalized irreversible Carnot heatpump ［J］. Applied Energy, 2007, 84(1): 7888.

［7］Tian Z, Gu B, Yang L, et al. Performance prediction for a parallel flow condenser based on artificial neural network ［J］. Applied Thermal Engineering, 2014, 63 (1): 459467.

［8］吴业正. 制冷原理及设备［M］. 西安：西安交通大学出版社, 2010.

［9］张永贵. 热泵定义的拓展及其火用效率表达式的改进［J］. 暖通空调，2002, 32（1）: 99100.

ZHANG Yonggui. Discussion on development of heat pump definition and improvement of an exergy efficiency formula ［J］. Heating Ventilating and Air Conditioning, 2002，32（1）: 99100.

［10］张萍, 谷波, 王婷, 等. 多元微通道平行流冷凝器理论模型与实验研究［J］. 上海交通大学学报, 2013, 47(11):17381744.

ZHANG Ping, GU Bo, WANG Ting, et al. Theoretical model and experimental research on multiple microchannel parallel flow condenser［J］. Journal of Shanghai Jiaotong University, 2013, 47(11): 17381744.

［11］梁任, 余岳峰, 陈亮乐, 等. 螺杆膨胀机有机朗肯循环系统的变工况特性［J］. 上海交通大学学报, 2014, 48(9):12911296.

LIANG Ren, YU Yuefeng, CHEN Liangle, et al. Characteristics of variable conditions of screw expander system based on organic rankine cycle［J］. Journal of Shanghai Jiaotong University, 2014, 48(9):12911296.

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