Abstract
This study developed a 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. An experimental rig for generating the require data is development., the experimental rig was introduced at steady-state conditions while varying the compressor speed, air temperature at evaporator inlet, air temperature at condenser inlet and air velocity at evaporator inlet. A computer simulation has been conducted. The results of predicted by FNN are compared with the values obtained from experiments. It has been demonstrated that FNN model for automotive air-conditioning systems performance prediction has high coefficient in predicting the AAC system performance.
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Hu, R., Xia, Y. (2017). Automotive Air-conditioning Systems Performance Prediction Using Fuzzy Neural Networks. In: Pan, JS., Tsai, PW., Huang, HC. (eds) Advances in Intelligent Information Hiding and Multimedia Signal Processing. Smart Innovation, Systems and Technologies, vol 64. Springer, Cham. https://doi.org/10.1007/978-3-319-50212-0_35
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DOI: https://doi.org/10.1007/978-3-319-50212-0_35
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