A Comparison of EGR Correction Factor Models Based on SI Engine Data
Journal Article
03-12-02-0015
ISSN: 1946-3936, e-ISSN: 1946-3944
Sector:
Topic:
Citation:
Smith, J., Ruprecht, D., Roberts, P., Kountouriotis, A. et al., "A Comparison of EGR Correction Factor Models Based on SI Engine Data," SAE Int. J. Engines 12(2):203-217, 2019, https://doi.org/10.4271/03-12-02-0015.
Language:
English
Abstract:
The article compares the accuracy of different exhaust gas recirculation (EGR)
correction factor models under engine conditions. The effect of EGR on the
laminar burning velocity of a EURO VI E10 specification gasoline (10% Ethanol
content by volume) has been back calculated from engine pressure trace data,
using the Leeds University Spark Ignition Engine Data Analysis (LUSIEDA) reverse
thermodynamic code. The engine pressure data ranges from 5% to 25% EGR (by mass)
with the running conditions, such as spark advance and pressure at intake valve
closure, changed to maintain a constant engine load of 0.79 MPa gross mean
effective pressure (GMEP). Based on the experimental data, a correlation is
suggested on how the laminar burning velocity reduces with increasing EGR mass
fraction. This correlation, together with existing models, was then implemented
into the quasi-dimensional Leeds University Spark Ignition Engine (LUSIE)
predictive engine code and resulting predictions are compared against
measurements. It was found that the new correlation is in good agreement with
experimental data for a diluent range of 5%-25%, providing the best fit for both
engine loads investigated, whereas existing models tend to overpredict the
reduction of burning velocity due to EGR.