Segmental human thermoregulation models are increasingly being used to predict thermal comfort in vehicle passenger compartments. These computational models simulate the process by which the human body maintains a nearly constant core temperature. The primary output of thermoregulation models is the predicted time history of the body’s core and skin temperature, which is subsequently used as input to a model that predicts corresponding thermal sensation and comfort perceptions. The advantage of this method of predicting thermal comfort is its applicability to non-uniform and transient environments, such as the passenger compartment of an automobile. In this paper we assess the importance of modelling individual physiological differences when predicting thermal comfort using a segmental thermal model.
Assessment of Modeling Individual Physiological Differences when Predicting Thermal Comfort
Lect. Notes Electrical Eng.
2012-11-15
6 pages
Article/Chapter (Book)
Electronic Resource
English
Assessment of Modeling Individual Physiological Differences when Predicting Thermal Comfort
British Library Conference Proceedings | 2013
|Assessment of modeling individual physiological differences when predicting thermal comfort
Automotive engineering | 2012
|Assessment of Modeling Individual Physiological Differences when Predicting Thermal Comfort
British Library Conference Proceedings | 2013
|Modeling Individual Differences in Driver Workload Inference Using Physiological Data
Springer Verlag | 2021
|