An experimental study on the dynamic thermal environment and front and rear occupants' local thermal sensation of the vehicle cabin in automatic air conditioning mode under different driving states in summer is conducted. Experimental results show: air temperature, occupant skin temperature and local thermal sensation are all affected by crew position, body part and driving status. Driving increases the heat flux between the vehicle body and the air outside. Driving helps reduce body part differences and improves uniformity of front and rear cabin. Local thermal sensation and local skin temperature show a good linear relationship. But the linear correlation coefficient is affected by crew position, body part, driving state and air conditioning conditions. When the air conditioning system in vehicle cabin adopts the automatic mode, the local thermal sensation under different driving status of the same body part can be unified under the same one exponential function. And the static model is more suitable to describe local thermal sensation than the dynamic model, which means that only need to consider non-uniformity and ignore transient. Substituting the local skin temperature under driving condition into a static model fitted with idle condition can predict the body's local thermal sensation well.
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.
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