Intelligent and efficient electronic and control systems have been designed and implemented on various vehicle to provide security and comfort for passengers. Considering that the temperature of the car cabin is considered one of the effective factors in the comfort of the car passengers. Therefore, with its control of the air conditioning system, in addition to creating comfort and increasing the travel safety factor, energy consumption can also be reduced. The control of the ventilation system is often done manually, which is not pleasant, and also with the development of technology, it is a customer-friendly option for a smart vehicle. Therefore, many methods have been provided for the intelligent control of the air conditioning system of the car.In this paper, due to the nonlinearity car air conditioning system, the theory of fuzzy systems of the type-2 fuzzy type was proposed and the cabin temperature regulation system was improved by simultaneously using the particle swarm optimization algorithm. The method of doing the work is that the performance of type-1 and type-2 fuzzy controller was investigated in different scenarios and in all cases it was found, that the type-2 fuzzy control system designed with the help of particle algorithm optimization is far It works better than fuzzy type-1.

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