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Neural Cylinder Model and Its Transient Results
Technical Paper
2003-01-3232
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
A cylinder model was developed using artificial neural networks (ANN). The cylinder model utilized the trained ANN models to predict engine parameters including cylinder pressures, cylinder temperatures, cylinder wall heat transfer, NOx and soot emissions. The ANN models were trained to approximate CFD simulation results of an engine. The ANN cylinder model was then applied to predict engine performance and emissions over the standard heavy-duty FTP transient cycle. The engine responses varying over the engine speed and torque range were simulated in the course of the transient test cycle. It was demonstrated that the ANN cylinder model is capable of simulating the characteristics of the engine operating under transient conditions reasonably well.
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Citation
He, Y. and Rutland, C., "Neural Cylinder Model and Its Transient Results," SAE Technical Paper 2003-01-3232, 2003, https://doi.org/10.4271/2003-01-3232.Also In
Spark Ignition and Compression Ignition Engines Modeling 2003
Number: SP-1803; Published: 2003-10-31
Number: SP-1803; Published: 2003-10-31
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