Temperature Control Strategy of Passenger Compartment Based on Control Algorithms

Thermal comfort of passenger compartment is an important constitute index of vehicle riding comfortability. A favorable compartment thermal environment is benefit to the physical and mental health of the driver and passengers, and can improve driving safety as well. Taking compartment thermal comfort as the optimization goal, a control strategy of double evaporator air conditioning system is optimized in this paper. The closed-loop control system model based on fuzzy-PID control is established, and Particle Swarm Optimization (PSO) algorithm is introduced to optimize the parameters of fuzzy-PID, regulate the fan speed and compressor opening. The results show that fuzzy-PID control combined with PSO algorithm has stronger adaptability and higher precision than traditional fuzzy-PID and PID control. It eliminates overshoot, and makes the temperature and air speed more comfortable in passenger compartment.