Department of Mechanical, Materials, and Aerospace Engineering, Illinois Institute of Technology, Chicago, IL, USA, Energy Systems Division, Argonne National Laboratory, Lemont, IL, USA
Department of Mechanical, Materials, and Aerospace Engineering, Illinois Institute of Technology, Chicago, IL, USA
Energy Systems Division, Argonne National Laboratory, Lemont, IL, USA
This work focuses on zero-dimensional modeling of the heat release rate in a compression ignition engine operating on gasoline-like fuels. Due to the properties of gasoline, such as high volatility and longer ignition delay than diesel, the injection strategies can vary significantly from the operation with conventional diesel fuel. Different injection strategies are commonly used to achieve varying degrees of in-cylinder stratification in order to shape the combustion event and maximize efficiency. The proposed zero-dimensional combustion model was developed to account for the different stages in combustion caused by the fuel stratification. As the ignition delay model is an integral part of the entire combustion process and significantly affects the prediction accuracy, special attention has been paid to local phenomena influencing ignition delay. A one-dimensional spray model by Musculus and Kattke was employed in conjunction with a Lagrangian tracking approach in order to estimate the local air–fuel ratio within the spray tip, as a proxy for reactivity. The local air–fuel ratio, in-cylinder temperature and pressure were used in an integral fashion to estimate the ignition delay. Heat release rates were modeled using first-order non-linear differential equations. The proposed combustion model was validated against experimental data of a heavy-duty compression ignition engine with up to three injection events at mostly 1038 r/min and 14 bar brake mean effective pressure. Further validation of the model was carried out at other engine loads and speeds. Model prediction errors in CA50 of less than 1 °CA across all conditions were found. Modeling results of other combustion metrics such as combustion duration and indicated mean effective pressure are also highly satisfactory. In addition, the model has been shown to be capable of estimating the ringing intensity for most conditions.
Pamminger, Michael, et al. "A control-oriented combustion model framework for compression ignition engines operating on low-reactivity fuel." International Journal of Engine Research, vol. 22, no. 6, Jun. 2020. https://doi.org/10.1177/1468087420918038
Pamminger, Michael, Hall, Carrie M., Wang, Buyu, & Wallner, Thomas (2020). A control-oriented combustion model framework for compression ignition engines operating on low-reactivity fuel. International Journal of Engine Research, 22(6). https://doi.org/10.1177/1468087420918038
Pamminger, Michael, Hall, Carrie M., Wang, Buyu, et al., "A control-oriented combustion model framework for compression ignition engines operating on low-reactivity fuel," International Journal of Engine Research 22, no. 6 (2020), https://doi.org/10.1177/1468087420918038
@article{osti_1633481,
author = {Pamminger, Michael and Hall, Carrie M. and Wang, Buyu and Wallner, Thomas},
title = {A control-oriented combustion model framework for compression ignition engines operating on low-reactivity fuel},
annote = {This work focuses on zero-dimensional modeling of the heat release rate in a compression ignition engine operating on gasoline-like fuels. Due to the properties of gasoline, such as high volatility and longer ignition delay than diesel, the injection strategies can vary significantly from the operation with conventional diesel fuel. Different injection strategies are commonly used to achieve varying degrees of in-cylinder stratification in order to shape the combustion event and maximize efficiency. The proposed zero-dimensional combustion model was developed to account for the different stages in combustion caused by the fuel stratification. As the ignition delay model is an integral part of the entire combustion process and significantly affects the prediction accuracy, special attention has been paid to local phenomena influencing ignition delay. A one-dimensional spray model by Musculus and Kattke was employed in conjunction with a Lagrangian tracking approach in order to estimate the local air–fuel ratio within the spray tip, as a proxy for reactivity. The local air–fuel ratio, in-cylinder temperature and pressure were used in an integral fashion to estimate the ignition delay. Heat release rates were modeled using first-order non-linear differential equations. The proposed combustion model was validated against experimental data of a heavy-duty compression ignition engine with up to three injection events at mostly 1038 r/min and 14 bar brake mean effective pressure. Further validation of the model was carried out at other engine loads and speeds. Model prediction errors in CA50 of less than 1 °CA across all conditions were found. Modeling results of other combustion metrics such as combustion duration and indicated mean effective pressure are also highly satisfactory. In addition, the model has been shown to be capable of estimating the ringing intensity for most conditions.},
doi = {10.1177/1468087420918038},
url = {https://www.osti.gov/biblio/1633481},
journal = {International Journal of Engine Research},
issn = {ISSN 1468-0874},
number = {6},
volume = {22},
place = {United Kingdom},
publisher = {SAGE Publications},
year = {2020},
month = {06}}