A New Method to Predict the Thermal Sensation of an Occupant Using a Neural Network and Its Application to the Automobile HVAC System
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概要
- 論文の詳細を見る
The purpose of this study is to develop a method for predicting the thermal sensation of an automobile occupant, and evaluate the prediction method's effectiveness in controlling an automobile heating, ventilating and air conditioning(HVAC)system. The main purpose of a HVAC system is not to keep the temperature constant, but to make people comfortable. This HVAC system was designed to control the interior environment according to the thermal sensation of an occupant, and thus has a direct effect on the occupant's comfort. The thermal sensation level was predicted by a neural network from the interior temperature of the vehicle and facial skin temperature of the occupant. The prediction of the thermal sensation using the neural network was satisfactorily accurate. The HVAC system using the neural network could control the thermal sensation of the occupant and could maintain the occupant's level of comfort even if the air temperature was constant.
- 社団法人日本機械学会の論文
- 1997-02-15
著者
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Taniguchi Y
Mechanical I Division Toyota Central Research And Development Laboratories Inc.
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Taniguchi Yousuke
Mechanical Division I Toyota Central Research And Development Laboratories Inc.
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UEDA Matsuei
Mechanical Division I, Toyota Central Research and Development Laboratories, Inc.
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AOKI Hiroshi
Mechanical I Division, Toyota Central Research and Development Laboratories Inc.
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Ueda Matsuei
Mechanical I Division Toyota Central Research And Development Laboratories Inc.
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Aoki Hiroshi
Mechanical I Division Toyota Central Research And Development Laboratories Inc.
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Aoki Hiroshi
Mechanical Engineering Tokyo Institute Of Technology
関連論文
- An Automobile Heating, Ventilating and Air Conditioning(HVAC)System with a Neural Network for Controlling the Thermal Sensations Felt by a Passenger
- Prediction of Automobile Passenger's Skin Temperature Using a Neural Network
- A New Method to Predict the Thermal Sensation of an Occupant Using a Neural Network and Its Application to the Automobile HVAC System
- Convective Heat Transfer in an Annulus with an Inner Rotating Cylinder