Classification of Air Quality Inside Car Cabin using Sensor System

Daily practice, but also research, show that poor indoor air quality (IAQ) is a serious problem in many vehicles. In this work we present an approach to the evaluation of air quality in car cabin. It consists in IAQ classification. We focussed on defining classes in a way which may be useful for improving air quality during a trip. In order to assure the provision of objective information. IAQ classes are specified with reference to measurable parameters of indoor air. The parameters: temperature, relative humidity, CO(2)( )concentration and VOC content indicator arc considered jointly. Class assignment is realized on a software level, based on the measurement data provided by the sensor module located inside car cabin. The final announcement received by the driver refers to the class of indoor air. It. informs about thermal conditions, air humidity and air freshness. These components correspond to the capabilities of air handling system in the car and they were included in the message to provide hints for improving air quality. The information is delivered in real time. We believe, the implementation of the presented approach will contribute to the improvement of car microenvironment upon driving.