Experimental study and numerical simulation Concerning fogging characteristics and Improvement of return air utilization for electric vehicles
Experimental study and numerical simulation Concerning fogging characteristics and Improvement of return air utilization for electric vehicles
复制标题
电动汽车起雾特性及回风利用率提高的实验研究与数值模拟
DOI:
10.1016/j.applthermaleng.2017.10.060
复制
发表时间:
2018-01
影响因子:
6.4
通讯作者:
Tian Changqing
中科院分区:
文献类型:
--
作者:
Liu Jixuan;Zou Huiming;Zhang Guiying;Zhang Xiaoqiang;Tang Junyan;Tian Changqing
Anti-fogging treatment is a key task associated with the thermal management of electric vehicles, which focuses on utilizing the cabin return air to reduce heating load and save battery power. The present study analyzes the interior climate characteristics of the vehicle with an improved thermal and humidity model (T&H model), which considers a thin air layer between the windshield and the interior air so as to enhance the accuracy of the model. A test bench is constructed to investigate the fogging characteristics of the windshield under various environmental conditions, based on which two relevant factors are experimentally measured, i.e., the difference between the critical moisture content (CMC) of the surface air layer and the corresponding saturation moisture content (SMC) associated with the windshield surface temperature, as well as the impact of air velocity on the convective heat transfer coefficient. The results obtained here are leveraged to improve the T&H model, which is in turn validated with an additional experimental test, showing errors below 10%. Finally, numerical simulation is conducted to analyze the maximum return air ratio, which shows that with an elevated driving speed, an increased convective heat transfer coefficient leads to a subdued windshield temperature, which in turn causes the return air ratio to drop. This driving-speed-dependency of return air ratio becomes more pronounced as the relative humidity of exterior air increases.
登录
查看更多内容
DOI:
10.4271/2015-01-0360
发表时间:
2015-04
期刊:
--
影响因子:
--
作者:
M. Leriche;Wolfgang Roessner;H. Reister;B. Weigand
通讯作者:
M. Leriche;Wolfgang Roessner;H. Reister;B. Weigand
DOI:
10.1016/j.egypro.2014.11.952
发表时间:
2014
期刊:
Energy Procedia
影响因子:
--
作者:
F. Qin;S. Shao;C. Tian;Hongxing Yang
通讯作者:
F. Qin;S. Shao;C. Tian;Hongxing Yang
影响因子:
6.4
作者:
Jongtae Lee;S. Kwon;Yunsung Lim;M. Chon;Daesik Kim
通讯作者:
Jongtae Lee;S. Kwon;Yunsung Lim;M. Chon;Daesik Kim
DOI:
10.4271/2010-36-0335
发表时间:
2010-10
期刊:
--
影响因子:
--
作者:
T. Zolet;G. F. F. Maia-G.-F.-F.-Maia-98855776;Getulio Gusmao Dutra;L. V. M. Pereira
通讯作者:
T. Zolet;G. F. F. Maia-G.-F.-F.-Maia-98855776;Getulio Gusmao Dutra;L. V. M. Pereira
影响因子:
10.4
作者:
M. Hosoz;M. Di̇rek
通讯作者:
M. Hosoz;M. Di̇rek