Automotive Science and Engineering
Iran University of Science & Technology
Wed, Nov 27, 2024
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Volume 7, Issue 3 (9-2017)
ASE 2017, 7(3): 2495-2502 |
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Kakaee A, Mafi S. Improving Simulation Accuracy of a Downsized Turbocharged SI Engine by Developing a Predictive Combustion Model in 1D Simulation Software. ASE 2017; 7 (3) :2495-2502
URL: http://www.iust.ac.ir/ijae/article-1-430-en.html
URL: http://www.iust.ac.ir/ijae/article-1-430-en.html
Abstract: (20500 Views)
In this paper we aim to develop a predictive combustion model for a turbocharged engine in GT-Power software to better simulate engine characteristics and study its behavior under variety of conditions. Experimental data from combustion was initially being used for modelling combustion in software and these data were used for model calibration and result validation. EF7-TC engine was chosen for this research which is the first turbocharged engine designed and developed by IKCO and IPCO in Iran. After analyzing necessary theories for predictive combustion model and required steps for calibration of CombSITurb model in software, one final set of multipliers were calculated based on different sets derived for each engine speed and engine operation was simulated with this combustion model. In addition to improved predictability of engine model, comparing results of predictive model with non-predictive model shows better accuracy especially at lower engine speeds and less tolerance of results for each engine speed.
Type of Study: Research |
Subject:
Internal Combustion Engines (ICE, ...)
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