Performance Prediction of Air-conditioning Systems Based on Fuzzy Neural Network

Performance Prediction of Air-conditioning Systems Based on Fuzzy Neural Network

This study developed a Fuzzy neural network (FNN) model for air-conditioning system of a passenger car to predict the cooling capacity, compressor power input and the coefficient of performance (COP) of the automotive air-condition (AAC) system. We developed an experimental rig to generate required data. The experimental rig is demanded a steady state under several changing conditions such as compressor speed, air temperature of evaporator inlet, air temperature of condenser inlet and air velocity of evaporator inlet. A computer simulation has been conducted. The simulation results of the FNN are compared with the experimental results of the rig. The result comparison indicates that our proposed FNN model performs high accuracy prediction for automotive air-conditioning systems.