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Development of Real Time Catalyst Model for Engine & Powertrain Control Design
ISSN: 0148-7191, e-ISSN: 2688-3627
Published April 20, 2009 by SAE International in United States
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Engines and vehicle systems are becoming increasing complex partly due to the incorporation of emission abatement components as well as control strategies that are technologically evolving and innovative to keep up with emissions requirements. This makes the testing and verification with actual prototypes prohibitively expensive and time-consuming. Consequently, there is an increasing reliance on Software-In-the-Loop (SIL) and Hardware-In-the-Loop (HIL) simulations for design evaluation of system concepts.
This paper introduces a methodology in which detailed chemical kinetic models of catalytic converters are transformed into fast running models for control design, calibration or real time ECU validation. The proposed methodology is based on the use of a hybrid, structured, semi-automatic scheme for reducing high-fidelity models into fast running models. The resulting hybrid model consists of a set of neural network-based static sub-models that account for the large non-linearity of the system, concatenated with physical sub-models that account for the dynamics and hysteresis that are inherent in the processes being modeled.
A model of DOC-SCR catalyst system was chosen as the surrogate for this methodology. In this regards, the paper will describe procedures involving identification of relevant parameters using experimental data and design of experiment (DOE) optimization. The DOE results were used to train hybrid-NN Model. The comparison of the results show that the methodology conserves accuracy and achieves computational efficiency, thus making advanced engine control design, calibration and ECU validation (involving coupled engine, aftertreatment and vehicle models) in some cases simply feasible, and in other cases more secure, faster and easier.
CitationWenzel, S., Despujols, B., Wahiduzzaman, S., and Papadimitriou, I., "Development of Real Time Catalyst Model for Engine & Powertrain Control Design," SAE Technical Paper 2009-01-1273, 2009, https://doi.org/10.4271/2009-01-1273.
- Ciesla C., Keribar R. and Morel T., “Engine/Powertrain/Vehicle Modeling Tool Applicable to All Stages of the Design Process,” SAE NO. 2000-01-0934, Detroit, MI, 2000.
- Fons M., Vigild C., Chevaler A., Hendricks E. and Sorenson S. C., “Mean value Modeling of an SI Engine with EGR,” SAE NO. 1999-01-0909, Detroit, MI, 1999.
- Karlson J. F. and redriksson J., “Cylinder-by-Cylinder Engine Models vs Mean Value Engine Models for Use in Powertrain Control Applications,” SAE NO. 1999-01-0906, Detroit, MI, 1999.
- Papadimitriou I., Silvestri J. et al.: “Development of Real-Time Capable Engine Plant Models for use in HIL systems”, SAE NO. 2008-01-0990, Detroit, MI, 2008
- Wahiduzzaman S., Wenzel S., Despujols B. and Tang W., “Development of Diesel Engine & Catalyst Model Derived from Detailed Model for Engine & Powertrain Control Design,” SIA International Conference, Rouen, France, 2008.
- Bissett E.J. and Oh S.H., “Modeling Electrically Heated Converters for Automotive Emission Control: Determination of the best size regime for the heated element”, Chemical Engineering Science, 1999, 54, 3957-3966.
- Bissett E.J., Oh S.H. and Battiston P.A. “Mathematical Modeling of Electrically Heated Monolith Converters: Model Formulation, Numerical Methods, and Experimental Verification”, Ind. Eng. Chem. Res., 1993, 32, 1950-1957.
- Chakravarthy K., “Modeling Chemistry in Lean NOx Traps Under Reducing Conditions” SAE NO. 2006-01-3446.
- Chatterjee D., Weibel W., Nova I., Tronconi E., Burkhardt T. and Grossale A., “Numerical Simulation of Zeolite- and V-Based SCR Catalytic Converters” SAE NO. 2007-01-1136.
- Chatterjee D., Weibel W., Nova I., Tronconi E., Ciardelli C. and Burkhardt T., “Numerical Simulation of NO/NO2/NH3 Reactions on SCR-Catalytic Converters: Model Development and Applications” SAE NO. 2006-01-0468.
- Tang W., Wahiduzzaman, Wenzel S., et al.: “Deleopment of a Quasi- Steady Approach Based Simulation Tool for System Level Exhaust Aftertreatment Modeling”, SAE NO. 2008-0866, Detroit, MI, 2008.
- Morel T., Keribar R., Silvestri J. and Wahiduzzaman S., “Integrated Engine/Vehicle Simulation and Control”, SAE NO. 1999-01-0907, Detroit, MI, 1999.
- Wahiduzzaman S., Tang W., Wenzel S. and Leonard A., “Modeling of Integrated Aftertreatment Systems” SAE NO. 2007-01-4127.
- Fiorani P., Gambarotta A., Lucchetti G., Ausiello F., De Cesare M., Serra G., “A detailed Mean Value Model of the exhaust system of an automotive Diesel engine” SAE NO. 2008-28-0024.