하절기 자동차 에어컨의 초기 쾌적제어 알고리즘에 관한 연구

Abstract

As personal space the car, the driver wants the comfort of the space. That the vehicle is different from the typical building will occur frequently uneven temperature distribution. So, the driver feel a lot of discomfort. Then, when the parking space outside the car in the summer, the internal temperature rises, the driver feel the discomfort. Therefore, it is necessary to reduce quickly the temperature inside the vehicle. In this study, it is intended to increase the thermal comfort sensitivity of the driver. It is necessary to form a thermal environment of the interior of the driver-oriented comfortable and safe car. In this study, I suggest comfort control algorithm of the first air-conditioned car in the summer in the results. This experiment was performed on June 24 from June 4, 2012. Target of this experiment is a man in their 20s. Vehicles were used in the experiment is a mid-size car 2000CC class. It is a day of cloudy and sunny day, experimental conditions, experiments were carried out in the two cases. Experimental method is as follows. Subjects arrived in the laboratory, wear clothing that is defined. The next is to check the health of the subject. After confirming the health condition, the subject moves (26 ℃, 50%) in the constant temperature and humidity room. Subjects stay for 30 minutes at constant temperature and humidity room. Then, brain wave sensor attached to the head of the subject. After 30 minutes, the subject moves to the parking lot. And, the subject get into the car. Then, subject operate the air conditioning. The subject can be adjusted freely wind speed, wind direction, and air outlet. Experiment time is 40 minutes. And, EEG and skin temperature of the subjects was measured. CSV , TSV and preferences were investigated. The experimental results were as follows. Time to reach a comfortable area by the operation of the driver was 10 minutes. So, it is determined that it is necessary to comfort control for 10 minutes. Having due regard to the evaluation results that have been analyzed, it is possible to derive the algorithms for the initial comfort control. It is possible to derive an algorithm comfort control the initial evaluation throught analyzed the results.