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Experimental study on dynamic thermal environment of passenger compartment based on thermal evaluation indexes.
Science Progress ( IF 2.1 ) Pub Date : 2020-08-13 , DOI: 10.1177/0036850420942991
Liang Zhang 1 , Liangkui Qi 1 , Jianhua Liu 1, 2 , Qingqing Wu 1
Affiliation  

In this article, the thermal environment and the human thermal comfort of car cabin under different driving states in summer were studied experimentally. The weighted predictive mean vote model and the weighted equivalent temperature model were used for calculation and compared with the experimental values. The experimental results show that the air temperature and relative humidity distribution in cabin are affected by the space position and driving state. The temperature of the cabin seat, which is affected by solar radiation and crew, in the heating stage is slightly higher than the air temperature, while the cooling rate in the cooling stage is much lower than the air temperature. The predictive mean vote model and the equivalent temperature model are basically consistent with the actual thermal comfort of human body under the idle and driving conditions with the change of time. The prediction accuracy of the two models under the idle condition is higher than that under the driving condition, and the overall prediction accuracy of the equivalent temperature model is higher than that of the predictive mean vote model.



中文翻译:

基于热评价指标的客舱动态热环境实验研究

本文对夏季不同驾驶状态下车舱热环境及人体热舒适度进行了实验研究。采用加权预测平均投票模型和加权等效温度模型进行计算并与实验值进行比较。实验结果表明,车厢内空气温度和相对湿度分布受空间位置和驾驶状态的影响。受太阳辐射和乘员影响的客舱座椅温度在加热阶段略高于空气温度,而在冷却阶段降温速率远低于空气温度。预测均值投票模型和等效温度模型与怠速和行驶工况下人体实际热舒适度随时间的变化基本一致。两种模型在怠速工况下的预测精度均高于行驶工况下的预测精度,且等效温度模型的整体预测精度高于预测均值投票模型。

更新日期:2020-08-14
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