School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai, China.
Shanghai Key Laboratory of Multiphase Flow and Heat Transfer in Power Engineering, Shanghai, China.
Sci Prog. 2020 Jul-Sep;103(3):36850420942991. doi: 10.1177/0036850420942991.
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.
本文通过实验研究了夏季不同驾驶状态下汽车舱内热环境和人体热舒适性。采用了加权预测平均投票模型和加权等效温度模型进行计算，并与实验值进行了比较。实验结果表明，舱内空气温度和相对湿度的分布受空间位置和驾驶状态的影响。在加热阶段，受太阳辐射和乘员影响的座椅温度略高于空气温度，而在冷却阶段的冷却速率远低于空气温度。预测平均投票模型和等效温度模型基本与人体在空闲和驾驶状态下随时间变化的实际热舒适性一致。在空闲状态下，两个模型的预测精度均高于驾驶状态，等效温度模型的整体预测精度高于预测平均投票模型。
