Year: 2026
Type: article
Abstract: This study integrates the Joint System Thermoregulation Model (JOS) with four different thermal sensation models to establish a thermophysiological-thermal sensation computational framework capable of handling complex contact heat transfer scenarios. The thermal resistance-capacitance (RC) network is embedded to characterize the heat transfer properties of the contact interface. Through experimental investigations of heated seats, we systematically collect skin temperature measurements, interfacial heat flux data, and subjective thermal evaluations. These experimental data are employed to validate the predictive accuracy of the integrated model in determining human thermal states under combined conditions of low ambient temperatures and high-intensity conductive heat flux. The developed model provides a robust analytical tool for thermal sensation prediction in automotive applications and other confined environments with active thermal interfaces.
Language: English
Subfield: Building and Construction
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7125390246
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