Aiming at the thermal comfort of human body and considering the complexity of air conditioner control system, the control strategy of double-evaporator air conditioning system of SUV6 is optimized. On the basis of joint simulation, the closed-loop control system of automobile air conditioner based on fuzzy-PID control is established. Particle swarm optimization (PSO) is introduced to optimize the parameters of PID controller and regulate the fan speed and compressor opening ratio. Compared with the PID control and the fuzzy-PID control, it is found that the fuzzy-PID control based on PSO can overcome the defect of overshoot, make the temperature in the passenger compartment approach to the target faster and more stably, reduce the temperature control error, effectively reduce the energy consumption of the car, and meet the requirements of energy saving and consumption reduction.