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Self-Calibrating Model for Diesel Engine Simulations
Technical Paper
2012-01-1072
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
A self-calibrating model for Diesel engine simulations is presented. The overall model consists of a zero-dimensional direct injection stochastic reactor model (DI-SRM) for engine in-cylinder processes simulations and a package of optimization algorithms (OPAL) suitable for solving various optimization, automatization and search problems. In the DI-SRM, based on an extensive model parameters study, the mixing time history that affects the level of in-cylinder turbulence was selected as a main calibration parameter. As targets during calibration against the experimental data, in-cylinder pressure history and engine-out emissions, including nitrogen oxides and unburned hydrocarbons were chosen. The calibration task was solved using DI-SRM and OPAL working as an integrated tool. Within OPAL, genetic algorithms (GA) were used to determine model constants necessary for calibrating. Engine-out emissions in DI-SRM were calculated based on the reduced mechanism of n-heptane. The developed simulation method has been applied to simulate Diesel engine performance parameters at part load conditions. It has been found that with the presented approach it is possible to efficiently calibrate Diesel engine model in terms of integrated parameters such as in-cylinder pressure. Additionally, the rate of formation of engine-out emissions, such as nitrogen oxides and unburned hydrocarbons can be well captured. Due to automatic determination of model parameters, the overall time required for complete engine model calibration decreases significantly. In the same time the accuracy of calibration increases when compared to manual calibration. The presented coupled simulations can be integrated within a global simulation method, which includes also engine performance optimization and tests of different fuels under Diesel conditions.
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Pasternak, M., Mauss, F., Janiga, G., and Thévenin, D., "Self-Calibrating Model for Diesel Engine Simulations," SAE Technical Paper 2012-01-1072, 2012, https://doi.org/10.4271/2012-01-1072.Also In
References
- Stiesch, G. Modelling Engine Spray and Combustion Processes 2003 Springer-Verlag Berlin
- Rychter, T. Teodorczyk, A. Modelowanie Matematczne Roboczego Cyklu Silnika Tłokowego 1990 PWN Warszawa
- Heywood, J.B. Internal Combustion Engine Fundamentals 1988 McGraw-Hill New York
- Chow, A. Wyszynski, M.L. Thermodynamic modeling of complete engine systems - a review Proc Inst Mech Engrs 213 1999 1999
- McCartan, C. McEntee, P. Fleck, R. Blair, G. et al. “Computer Simulation of the Performance of a 1.9 Litre Direct Injection Diesel Engine,” SAE Technical Paper 2002-01-0070 2002 10.4271/2002-01-0070
- Gurney, D. “The Design of Turbocharged Engines Using 1D Simulation,” SAE Technical Paper 2001-01-0576 2001 10.4271/2001-01-0576
- Millo, F. Ferraro, C. Pilo, L. “A Contribution to Engine and Vehicle Performance Prediction,” SAE Technical Paper 2000-01-1266 2000 10.4271/2000-01-1266
- Dave, A. Hampson, G. “Robust Engine Design Using Engine Simulations,” SAE Technical Paper 2003-01-0371 2003 10.4271/2003-01-0371
- Pirker, G. Chmela, F. Wimmer, A. “Automated Parameter Determination for IC Engine Simulation Models,” SAE Int. J. Engines 2 1 539 547 2009 10.4271/2009-01-0674
- Emission Standards 2009 www.Dieselnet.com
- DARS LOGE AB http://www.diganars.com http://www.loge.se
- Hilbert, R. Janiga, G. Baron, R. Thévenin, D. Multiobjective shape optimization of a heat exchanger using parallel genetic algorithms International Journal of Heat and Mass Transfer 49 15-16 2567 2577 2006
- Pasternak, M. Mauss, F. Lange, F. Time Dependent Based Mixing Time Modelling for Diesel Engine Combustion Simulations Proceedings of the 23rd International Colloquium on the Dynamics of Explosions and Reactive Systems (ICDERS) Irvine, USA 2011
- Pasternak, M. Mauss, F. Lange, F. Schmerbeck, S. Heinl, E. Mork, A. “Simulation-Based Fuel Testing for Diesel Engine Combustion and Performance Mapping” European Combustion Meeting Cardiff, UK June 2011
- Balthasar, M. Mauss, F. Knobel, A. Kraft, M. Detailed Modeling of Soot Formation in a Partially Stirred Plug Flow Reactor Combustion and Flame 2002 128 4 395 409
- Kraft, M. Stochastic Modelling of Turbulent Reacting Flow in Chemical Engineering VDI Verlag 1998
- Maigaard, P. Mauss, F. Kraft, M. Homogeneous Charge Compression Ignition Engine: A Simulation Study on the Effects of Inhomogeneities 2003 Journal of Engineering for Gas Turbines and Power-Transactions of the ASME 466 471
- Tunér, M. Pasternak, M. Mauss, F. Bensler, H. “A PDF-Based Model for Full Cycle Simulation of Direct Injected Engines,” SAE Technical Paper 2008-01-1606 2008 10.4271/2008-01-1606
- Curl, R.L. Dispersed Phase Mixing. 1. Theory and Effects in Simple Reactors AIChE Journal 1963 9 2 175 181
- Pope, S.B. Pdf Methods for Turbulent Reactive Flows Progress in Energy and Combustion Science 1985 11 2 119 192
- Bhave, A. Balthasar, M. Kraft, M. Mauss, F. Analysis of a Natural Gas Fuelled Homogeneous Charge Compression Ignition Engine with Exhaust Gas Recirculation Using a Stochastic Reactor Model Int. J. Engine Res. 2004 5 1 93 103
- Welch, B. Jones, K. Hobbs, J. Practical Programming in Tcl and Tk Prentice Hall 2003
- Fonseca, C.M. Fleming, P.J. Genetic algorithms for multiobjective optimization: formulation, discussion and generalization Forest, S. Genetic Algorithms: Proceedings of the Fifth International Conference 416 423 Morgan Kaufmann San Mateo, California 1993
- Michalewicz, Z. Genetic Algorithms+Data Structures=Evolution Programs Springer-Verlag Berlin, Heidelberg, New York 1996
- Janiga, G. A few illustrative examples of CFD-based optimization: Heat exchanger, laminar burner and turbulence modeling Thévenin, D. Janiga, G. Optimization and Computational Fluid Dynamics 17 59 Springer Berlin 2008
- Octave www.gnu.org/software/octave/
- Pasternak, M. Mauss, F. Bensler, H. “Diesel Engine Cycle Simulation with a Reduced Set of Modeling Parameters Based on Detailed Kinetics,” SAE Technical Paper 2009-01-0676 2009 10.4271/2009-01-0676
- Tsurushima, T. A new skeletal PRF kinetic model for HCCI combustion Proceedings of the Combustion Institute 2009 32 2835 2841
- Perlman, C. Frojd, K. Seidel, L. Tuner, M. et al. “A Fast Tool for Predictive IC Engine In-Cylinder Modelling with Detailed Chemistry,” SAE Technical Paper 2012-01-1074 2012