本文主要研究汽车应用中高瞬态条件下动态人体热舒适性的数学建模。采用生理和心理相结合的建模方法。首先，瞬态环境和人类活动数据，加上服装隔热数据，被用作人体热模型的输入，以确定车辆热环境条件的生理响应。其次，进行一系列高维多变量统计分析，将生理变量与主观反应联系起来。 最后，获得了夏季和冬季条件下的优化模型，以预测全身和局部热感觉。他们通过动态路径积分来解决心理效应，并允许瞬态和稳态组件根据其在整个瞬态和伪稳态过程中的影响自动分阶段进入和分阶段退出。通过对输入变化较大的模型进行挑战，检验了模型的鲁棒性。反复评估和调整模型的系数和主要变量的选择，直到达到模型准确性和稳健性的平衡。 预测结果与实测热感觉数据吻合较好。单位:SICitation:Symposium，ASHRAE交易，第109卷，pt。堪萨斯城，2003年

This paper focuses on the mathematical modeling of dynamic human thermal comfort under highly transient conditions for automotive applications. A combined physiological and psychological modeling approach was taken. First, the transient environmental and human activity data, plus the clothing insulation data, were used as inputs to a human thermal model to determine the physiological responses for the vehicle thermal environmental conditions. Secondly, a series of high dimensional multi-variable statistical analyses were performed to link the physiological variables with the subjective responses. Last, optimized models for summer and winter conditions were obtained to predict whole body and local thermal sensation. They addressed the psychological effects by dynamic path integration, and allowed the transient and steady-state components to be phased in and phased out automatically based on their influences during the entire transient and pseudo-steady-state processes. The model robustness was examined by challenging the model with widely varying inputs. The model’s coefficients and choice of primary variables were evaluated and adjusted repeatedly until a balance of model accuracy and robustness was achieved. The predicted results are in good agreement with the measured thermal sensation data.Units: SI