The prediction of the passenger´s thermal sensation level using a neural network and its application to the automobile HVAC control

Author

Ueda, M. ; Yaniguchi, Y.

Author_Institution

Mech. Div., Toyota Central Res. & Dev. Labs. Inc., Aichi, Japan

Volume

4

fYear

1999

fDate

1999

Firstpage

623

Abstract

The purpose of this study is to develop a method for predicting the thermal sensation level (TSL) of an automobile passenger using a neural network, and an automobile heating, ventilating and air conditioning (HVAC) system controlled by the predicted TSL. TSL was predicted by a neural network from the facial skin temperature and the interior air temperature of an automobile, and the mean error of the prediction was 0.5 unit of the thermal scale used. The HVAC system controlled by the predicted TSL could change the air conditioning level according to a thermal state of the passenger

Keywords

HVAC; automotive electronics; neural nets; predictive control; temperature control; air conditioning level; automobile HVAC control; automobile passenger; facial skin temperature; interior air temperature; neural network; passenger thermal sensation level; thermal state; Air conditioning; Automobiles; Control systems; Electronic mail; Neural networks; Research and development; Skin; Temperature control; Temperature measurement; Temperature sensors;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on

Conference_Location

Tokyo

ISSN

1062-922X

Print_ISBN

0-7803-5731-0

Type

conf

DOI

10.1109/ICSMC.1999.812476

Filename

812476