This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Development and Validation of a Mean Value Engine Model for Integrated Engine and Control System Simulation
Technical Paper
2007-01-1304
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
This paper describes the development of a mean value model for a turbocharged diesel engine. The objective is to develop a fast-running engine model with sufficient accuracy over a wide range of operating conditions for efficient evaluation of control algorithms and control strategies.
The mean value engine model was derived from a detailed 1D engine model, using the Design of Experiments (DOE) and hybrid Radial Basis Functions (RBF) to approximate the simulation results of the detailed model for cylinder quantities (e.g., the engine volumetric efficiency, the indicated efficiency, and the energy fraction of the exhaust gas). Furthermore, the intake and exhaust systems (especially intake and exhaust manifolds) were completely simplified by lumping flow components together. In addition, to compare with hybrid RBF, neural networks were also used to approximate the simulation results of the detailed engine model.
The developed mean value engine model with hybrid RBF was then integrated with a comprehensive controller model for non-real time simulation and analysis of the engine and control system. The mean value model was extensively validated against the detailed model over a step-change test condition, three step transient conditions, and a full FTP driving cycle. It is demonstrated that the dynamic responses of the engine and control system during all transient conditions have been captured reasonably well by the mean value model.
The trade-off of model accuracy and run speed was explored and evaluated for the developed mean value model, compared with the detailed model. It is shown that the developed mean value model achieved a good trade-off of model accuracy and run speed.
Recommended Content
Citation
He, Y. and Lin, C., "Development and Validation of a Mean Value Engine Model for Integrated Engine and Control System Simulation," SAE Technical Paper 2007-01-1304, 2007, https://doi.org/10.4271/2007-01-1304.Also In
References
- Guzzella, L. Amstutz, A. “Control of Diesel Engines,” IEEE Control Systems Magazine 8 9 55 71 1998
- Stefanopoulou, A.G. Kolmanovsky, I. Freudenberg, J.S. “Control of Variable Geometry Turbocharged Diesel Engines for Reduced Emissions,” IEEE Transactions on Control Systems Technology 8 4 733 745 2000
- Schihl, P. “Control Strategies for Heavy-Duty Diesel Engine Emissions,” IEEE Instrumentation & Measurement Magazine 4 2 11 15 June 2001
- Grondin, O. Stobart, R. Chafouk, H. Maquet, J. “Modelling the Compression Ignition Engine for Control: Review and Future Trends,” SAE Paper 2004-01-0423 2004
- Chow, A. Wyszynski, M.L. “Thermodynamic Modelling of Complete Engine Systems - a Review,” Proceedings of the Institution of Mechanical Engineers 213 403 415 1999
- Schulten, P.J.M. Stapersma, D. “Mean Value Modelling of the Gas Exchange of a 4-stroke Diesel Engine for Use in Powertrain Applications,” SAE Paper 2003-01-0219 2003
- Hendricks, E. “The Analysis of Mean Value Engine Models,” SAE Paper 890563 1989
- Jensen, J.P. Kristensen, A.F. Sorenson, S.C. Houback, N. Hendricks, E. “Mean Value Modeling of a Small Turbocharged Diesel Engine,” SAE Paper 910074 1991
- Kao, M. Moskwa, J.J. “Turbocharged Diesel Engine Modeling for Nonlinear Engine Control and State Estimation,” ASME Journal of Dynamic Systems, Measurement, and Control 117 1995
- Kolmanovsky, I. Moraal, P. van Nieuwstadt, M. Stefanopoulou, A.G. “Issues in Modelling and Control of Intake Flow in Variable Geometry Turbocharged Engines,” Proceedings of 18 th IFIP Conference on System Modeling and Optimization 1997
- He, Y. Rutland, C. J. “Application of Artificial Neural Network for Integration of Advanced Engine Simulation Methods,” Proceedings of the 2000 Fall Technical Conference of the ASME Internal Combustion Engine Division 35-1 53 64 2000
- He, Y. Rutland, C.J. “Modeling of A Turbocharged DI Diesel Engine Using Artificial Neural Networks,” SAE Paper 2002-01-2772 2002
- He, Y. Rutland, C.J. “Application of Artificial Neural Networks in Engine Modeling,” International Journal of Engine Research 5 4 281 296 2004
- Papadimitriou, I. Warner, M. Silvestri, J. Lennblad, J. Tabar, S. “Neural Network Based Fast Running Engine Models for Control-Oriented Applications,” SAE Paper 2005-01-0072
- He, Y. “Development and Validation of a 1D Model of a Turbocharged V6 Diesel Engine under Steady-State and Transient Conditions,” SAE Paper 2005-01-3857 2005
- He, Y. Lin, C. Gangopadhyay, A. “Integrated Simulation of the Engine and Control System for a Turbocharged Diesel Engine,” SAE Paper 2006-01-0439 2006
- Gamma Technologies GT-Power User Manual 2004
- Ricardo Stochastic Process Methods (SPM) Tools 2005
- The Mathworks Inc. Model-based Calibration Toolbox 2006