Research on the thermal comfort of passenger compartment based on the PMV/PPD

被引:17
作者
Huo, Weiwei [1 ,2 ,3 ]
Cheng, Yaxian [1 ]
Jia, Yunxu [1 ]
Guo, Chendong [1 ]
机构
[1] Beijing Informat Sci & Technol Univ, Inst Electromech Engn, 12 Xiaoying East Rd, Beijing 100192, Peoples R China
[2] Beijing Informat Sci & Technol Univ, Collaborat Innovat Ctr Elect Vehicles Beijing, Beijing 100192, Peoples R China
[3] Beijing Informat Sci & Technol Univ, Key Lab Modern Measurement & Control Technol, Minist Educ, Beijing 100192, Peoples R China
基金
中国国家自然科学基金;
关键词
The thermal comfort; The thermal flow field; The field synergy angle; AIR-FLOW; SYSTEM;
D O I
10.1016/j.ijthermalsci.2022.107876
中图分类号
O414.1 [热力学];
学科分类号
摘要
With the increasing requirements of consumers for vehicle performance, the thermal comfort has become a key index of consumers. The thermal environment inside the passenger compartment directly determines the thermal comfort of vehicle. In this paper, the vehicle cabin and the heat fluxes are measured at different thermal envi-ronment. The thermal comfort of the passenger compartment is analyzed based on Computational Fluid Dy-namics. The transient response of the thermal environment of passenger compartment is investigated, and the thermal comfort of the passenger compartment is evaluated based on the PMV/PPD (Predicted Mean Vote/ Predicted Percentage Dissatisfied) evaluation index. By analyzing the air temperature and velocity distributions from the transient model, the effect of the field synergy angle is used to explain the different thermal distribution based on different heat dissipation conditions. The results showed that the smaller the field synergy angle, the stronger the heat transfer performance.
引用
收藏
页数:13
相关论文
共 24 条
[11]  
Li Siwang, 2019, AUTOMOB APPL TECHNOL, P145
[12]   Experimental and numerical study of air flow and temperature variations in an electric vehicle cabin during cooling and heating [J].
Mao, Yiyi ;
Wang, Ji ;
Li, Junming .
APPLIED THERMAL ENGINEERING, 2018, 137 :356-367
[13]   Uncertainty Estimation for Reynolds-Averaged Navier-Stokes Predictions of High-Speed Aircraft Nozzle Jets [J].
Mishra, Aashwin Ananda ;
Iaccarino, Gianluca .
AIAA JOURNAL, 2017, 55 (11) :3999-4004
[14]   Virtual Testing Stand for evaluation of car cabin indoor environment [J].
Pokorny, Jan ;
Fiser, Jan ;
Jicha, Miroslav .
ADVANCES IN ENGINEERING SOFTWARE, 2014, 76 :48-55
[15]   Factors which influence the thermal comfort inside of vehicles [J].
Simion, Mihaela ;
Socaciu, Lavinia ;
Unguresan, Paula .
EENVIRO-YRC 2015 - BUCHAREST, 2016, 85 :472-480
[16]  
Sun Bo-lin, 2018, STUDY INFLUENCING FA
[17]   Data-driven prediction of vehicle cabin thermal comfort: using machine learning and high-fidelity simulation results [J].
Warey, Alok ;
Kaushik, Shailendra ;
Khalighi, Bahram ;
Cruse, Michael ;
Venkatesan, Ganesh .
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2020, 148
[18]   Experimental study on small power generation energy storage device based on pneumatic motor and compressed air [J].
Xu, Yonghong ;
Zhang, Hongguang ;
Yang, Fubin ;
Tong, Liang ;
Yang, Yifan ;
Yan, Dong ;
Wang, Chongyao ;
Ren, Jing ;
Wu, Yuting .
ENERGY CONVERSION AND MANAGEMENT, 2021, 234
[19]   Study on the thermal comfort index of solar radiation conditions in winter [J].
Yang, Ruiqiao ;
Zhang, Huan ;
You, Shijun ;
Zheng, Wandong ;
Zheng, Xuejing ;
Ye, Tianzhen .
BUILDING AND ENVIRONMENT, 2020, 167
[20]  
[杨志刚 Yang Zhigang], 2019, [同济大学学报. 自然科学版, Journal of Tongji University. Natural Science], V47, P408