| TEMPERATURE CONTROL STRATEGY OF PASSENGER
COMPARTMENT BASED ON CONTROL ALGORITHMS |
| Mengya Zhang , Li Ye , Lin Hu |
| School of Energy and Power Engineering, University of Shanghai for Science and Technology |
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| ABSTRACT |
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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. |
| Key Words:
Vehicle air conditioning, Control strategy, fuzzy-PID control, Particle Swarm Optimization (PSO) |
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Corresponding Author.
Li Ye , Email. 
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