This paper proposes a novel virtual engine calibration method for alternative fuels using thermodynamic simulation for in-cylinder pressure prediction. Based on known engine data, including the crank angle of the peak cylinder pressure, the optimization problem is defined for a desired indicated mean effective pressure. The decision variables are the combustion and heat transfer model parameters The method was tested for three different engines of different sizes, operating with ethanol, hydrogen and natural gas, and different equivalence ratios. The Wiebe model and a quasi-dimensional fractal combustion model were compared. The results showed that the method was able to successfully predict the in-cylinder pressure curve, with a coefficient of determination higher than 0.99. Furthermore, the method predicted the peak pressure and the crank angle corresponding to 50% of mass fraction burned with a maximum deviation of 2.5% and 1.5 °CA, respectively.
|Number of pages||15|
|Early online date||8 Jul 2021|
|Publication status||Published - Nov 2021|
Bibliographical note© 2021 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license
This study was financed in part by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Brazil . The authors would like to thank the colleagues at the Engines, Emissions and Fuels Research Centre (CPMEC) at PUC Minas for their support and kindness.
- Alternative fuels
- Calibration model
- Cylinder pressure
- Engine simulation
- Ethanol conversion
- Hydrogen energy