Deep learning-based efficiency forecasting of automotive air conditioning system with variable-capacity compressors under different conditions
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
Published online on March 26, 2026
Abstract
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Ahead of Print.
This study uses experimental data to demonstrate the accuracy of deep learning (DL) modeling for automotive air conditioning (AAC) systems. The experimental AAC system uses a variable capacity compressor and R1234yf as the refrigerant. The experimental ...
This study uses experimental data to demonstrate the accuracy of deep learning (DL) modeling for automotive air conditioning (AAC) systems. The experimental AAC system uses a variable capacity compressor and R1234yf as the refrigerant. The experimental ...