Try Mobilus Beta
Search tips
 This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Development of Real-Time Capable Engine Plant Models for use in HIL Systems

Journal Article
2008-01-0990
ISSN: 1946-4614, e-ISSN: 1946-4622
DOI: https://doi.org/10.4271/2008-01-0990
Published April 14, 2008 by SAE International in United States
Development of Real-Time Capable Engine Plant Models for use in HIL Systems
Sector:
Citation: Papadimitriou, I., Silvestri, J., Warner, M., and Despujols, B., "Development of Real-Time Capable Engine Plant Models for use in HIL Systems," SAE Int. J. Passeng. Cars - Electron. Electr. Syst. 1(1):372-381, 2009, https://doi.org/10.4271/2008-01-0990.
Language: English

References

  1. Ferrari, S. Stengel, R. “Smooth Function Approximation Using Neural Networks” IEEE Transactions on Neural Networks 16 1 Jan. 2005
  2. Foresee, D. Hagan, M. “Gauss-Newton approximation to Bayesian regularization,” Proceedings of the 1997 International Joint Conf. on Neural Networks 1997 1930 1935
  3. Hagan M. T. Menhaj M. “Training feedforward networks with the Marquardt algorithm,” IEEE Transactions on Neural Networks 5 6 1994 989 993
  4. Heywood, J.B. “Internal Combustion Engine Fundamentals” McGraw-Hill Inc. 1988
  5. Kay, W. M. “Convective Heat and Mass Transfer,” Third McGraw-Hill, Inc. New York, N.Y. 1993
  6. Krug, C. Liebl, J. Munk, F. Kammer, A. Reuss, H. “Physical Modelling and Use of Modern System Identification for Real-Time Simulation of Spark Ignition Engines in all Phases of Engine Development” SAE World Congress, SAE No. 2004-01-0421 Detroit, MI 2004
  7. Nguyen, D. Widrow, B. “Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights” Proceedings of the International Joint Conference on Neural Networks 21 26 1990
  8. Papadimitriou, I. et al “Neural Network Based Fast Running Engine Models for Control-Oriented Applications,” SAE World Congress, SAE No. 2005-01-0072 Detroit, MI 2005
  9. William H. et al. “Numerical Recipes in C: The Art of Scientific Computing,” Cambridge University Press 1992 0-521-43108-5
  10. Winsel, T. Ayeb, M. Theuerkauf, H.J. Pischinger, S. Schernus, C. Lutkemeyer, G. “HiL-Calibration of SI Engine Cold Start and Warm-Up Using Neural Real-Time Model” SAE World Congress, SAE No. 2004-01-1362 Detroit, MI 2004

Cited By

Recommended Content

Technical Paper Experimental Design and Development of an Expert System for the Knowledge-Based Engine Process Optimization of Modern Diesel Engines
Technical Paper Modelling the Rate of Heat Release in Common Rail Diesel Engines: a Soft Computing Approach
Technical Paper Unconventional Truck Chassis Design with Multi-Functional Cross Members