Adaptive intelligent control of vehicle air conditioning system

Abstract Efficient performance of a vehicle Air Conditioning (AC) can be affected by uncertain factors such as road conditions, environmental conditions and driver behaviour. Recent study shows that prediction of road power demands (look-ahead) for AC system can provide the optimum comfort temperature with air quality as well as a reduction of energy consumption. The new energy management system features comprise recent research over and above making adaptive the intelligent AC controller to ensure proper operation under different road load conditions. For making an adaptive fuzzy controller, the following important issues must be considered: the size of the membership functions of the fuzzy sets, the position of the membership functions, the rule weights and/or the link values. The adaptive intelligent air conditioning system was able to control the operation of AC, blower, fresh-air and recirculation gates for providing the desired comfort temperature and indoor air quality under various environment conditions. The simulation results of the adaptive intelligent air conditioning system demonstrate around 1% more energy saving compared to fuzzy air conditioning enhanced with look-ahead system.

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