电动汽车热泵空调系统匹配设计方法的提出与验证
Proposal and Verification of Matching Design Method for Electric Vehicle Heat Pump Air-Conditioning System
摘要: 本文根据电动汽车的行驶工况以及设计需求提出了一套适用于电动汽车热泵空调系统的匹配设计方案,主要包括汽车热(冷)负荷的计算以及主要零部件主要参数的匹配方法,并设计搭建了一套电动汽车热泵空调系统验证该方法的可靠性。在环境模拟实验室内模拟设计工况,对所设计系统的热泵性能进行实验测试,并与设计目标进行对比和分析。结果表明:实验结果与设计目标基本吻合,误差在5%以内,由此可见本文提出的电动汽车热泵空调系统匹配设计方法结合了汽车的行驶状态以及工作环境,适用于基础的电动汽车热泵空调系统,为电动汽车热泵空调系统的设计提供了可靠的方法和思路。
Abstract: According to the driving conditions and design requirements of electric vehicles, this paper pro-poses a matching design scheme suitable for electric vehicle heat pump air conditioning systems, which mainly includes the calculation of automobile hot (cold) load and matching methods of main parameters of main components. An electric vehicle heat pump air-conditioning system was used to verify the reliability of the method, simulate the design conditions in the environmental simulation laboratory, conduct experimental tests on the performance of the designed heat pump, and compare and analyze with the design goals. The results show that the experimental results are basically consistent with the design goals, and the error is within 5%. It can be seen that the matching design method of the electric vehicle heat pump air conditioning system proposed in this paper combines the driving state and working environment of the car, which is suitable for the basic electric vehicle heat pump air conditioning system to provide a reliable method and ideas for the design of heat pump air conditioning systems for electric vehicles.
文章引用:胡莎莎, 苏林, 韩南奎, 李康, 方奕栋. 电动汽车热泵空调系统匹配设计方法的提出与验证[J]. 建模与仿真, 2020, 9(2): 142-151. https://doi.org/10.12677/MOS.2020.92016

参考文献

[1] Zhang, Z., Wang, J., Xu, F., Li, C., Chen, Y. and Wang, X. (2018) The Solutions to Electric Vehicle Air Conditioning Systems: A Review. Renewable and Sustainable Energy Reviews, 91, 443-463. [Google Scholar] [CrossRef
[2] Zhou, G., Su, L., Li, K., Fang, Y. and Cheng, Q. (2018) An Ex-perimental Investigation of Dehumidifying and Reheating Performances of a Dual-Evaporator Heat Pump System in Electrified Vehicles. International Journal of Energy Research, 42, 754-763. [Google Scholar] [CrossRef
[3] Wang, Y., Li, W., Zhang, Z., Shi, J. and Chen, J. (2019) Performance Evalu-ation and Prediction for Electric Vehicle Heat Pump Using Machine Learning Method. Applied Thermal Engineering, 159, 113901. [Google Scholar] [CrossRef
[4] 张文嵘, 刘丽娜, 钱程, 楼军. 热泵型纯电动汽车空调系统特性[J]. 制冷学报, 2018, 39(6): 109-114.
[5] 张子琦, 李万勇, 张成全, 施骏业, 陈江平. 电动汽车冬季负荷特性研究[J]. 制冷学报, 2016, 37(5): 39-44.
[6] 刘志勇, 沈长海, 邹金校, 崔亚, 彭政瑜. 电动汽车空调与电池热管理系统设计与匹配[J]. 制冷与空调, 2018, 18(1): 67-71.
[7] 杨坤, 王杰, 肖军生, 等. 某B级燃料电池电动汽车匹配设计研究[J]. 汽车工程学报, 2018, 8(6): 399-406.
[8] 郭敏锐, 杨勇. 纯电动汽车动力系统匹配设计及多工况仿真[J]. 现代制造工程, 2018(12): 62-65+88.
[9] 阙雄才, 陈江平. 汽车空调实用技术[M]. 北京: 机械工业出版社, 2003.
[10] 黄志坚. 试验环境的模拟与汽车空调的性能试验[J]. 信息系统工程, 2010(9): 29.
[11] 张行周, 王浚. 汽车空调整车环境模拟试验室[J]. 汽车技术, 2002(10): 21-23.
[12] 朱晓明. 基于环境模拟试验的轿车空调系统降温性能研究[D]: [硕士学位论文]. 长春: 吉林大学, 2012.