This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Indicated Torque Reconstruction from Instantaneous Engine Speed in a Six-cylinder SI Engine Using Support Vector Machines
Technical Paper
2005-01-0030
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
This paper proposes the use of support vector machines to reconstruct the indicated torque from crankshaft velocity in a six-cylinder spark ignition engine. Real-time knowledge of indicated torque is typically important for engine diagnostics, and recently, an engine idle speed controller capable of reducing the effects of cyclic combustion variability through the use of indicated torque information was proposed. While measurements of in-cylinder pressure can be used to determine indicated torque, these sensors are generally deemed prohibitively expensive for implementation in a production engine. Estimation methods, particularly traditional model based estimation, are typically computationally expensive and require independent data throughout the cylinder expansion stroke. Overlap of the expansion strokes in a six-cylinder engine complicates the problem and limits the ability of traditional model based approaches in fully reconstructing the torque production process.
Intelligent estimation techniques can identify the key characteristics of the instantaneous engine speed as a function of crank angle for the combustion stroke, thereby allowing an optimal subset of the available information to be utilised. A support vector machine approach is used in this paper due to the inherent optimisation of the training procedure, resulting in an optimised prediction matrix. Torque estimation is then obtained through simple mathematical evaluations, allowing fast reconstruction of indicated torque. A comparison between reconstruction performances at different operating points is presented as an evidence of the capabilities of the support vector machines.
This paper demonstrates that indicated torque reconstruction with support vector machines in a six-cylinder engine is not only possible, but it can be done with sufficient accuracy for the purpose of advanced engine control applications.
Recommended Content
| Technical Paper | Offset Crankshaft Effects on SI Engine Combustion and Friction Performance |
| Technical Paper | Analysis of an Extended Stroke, (Offset Crankshaft), Engine |
| Technical Paper | The Effect of Piston Motion on Time Loss in a Spark Ignition Engine |
Citation
Gani, E. and Manzie, C., "Indicated Torque Reconstruction from Instantaneous Engine Speed in a Six-cylinder SI Engine Using Support Vector Machines," SAE Technical Paper 2005-01-0030, 2005, https://doi.org/10.4271/2005-01-0030.Also In
References
- Manzie, C. Watson H.C. “A novel approach to disturbance rejection in idle speed control towards reduced idle fuel consumption” Proceedings of the I MECH E Part D Journal of Automobile Engineering 2003 217 8 677 690
- Taraza, D. Henein N.A. Bryzik W. “Determination of the Gas-Pressure Torque of a Multicylinder Engine from Measurements of the Crankshaft's Speed Variation” International Congress & Exposition 1998 Detroit, MI, USA Society of Automotive Engineers SAE 980164
- Chen, X.D. Roskilly M. “A Crank Angular Velocity Based Method for Engine IMEP Measurement for Idle Quality Investigation and Adaptive Ignition Time Trimming to Improve Idle Quality” SAE Technical Paper Series 1999 SAE 1999-01-0855
- Lee, B. et al. “Engine control using torque estimation” SAE 2001 World Congress 2001 Detroit, MI, USA SAE SAE 2001-01-0995
- Taraza, D. “Statistical Model and Simulation of Engine Torque and Speed Correlation” International Fall Fuels and Lubricants Meeting and Exposition 2001 San Antonio, TX, USA Society of Automotive Engineers SAE 2001-01-3686
- Rizzoni, G. Connolly F.T. “Estimage of IC engine torque from measurement of crankshaft angular position” SAE Technical Paper Series 1993 SAE 932410
- Cavina, N. Ponti F. Rizzoni G. “Fast algorithm for on-board torque estimation” International Congress & Exposition 1999 Detroit, MI, USA SAE 1999-01-0541
- Azzoni, P.M. et al. “Indicated and Load Torque Estimation using Crankshaft Angular Velocity Measurement” SAE Technical Paper Series 1999 SAE 1999-01-0543
- Moro, D. Cavina N. Ponti F. “In-Cylinder Pressure Reconstruction Based on Instantaneous Engine Speed Signal” Transactions of the ASME 2002 124
- Ball, J. K. et al. “Torque Estimation and Misfire Detection using Block Angular Acceleration” SAE Technical Paper Series 2000 4 SAE 2000-01-0560
- Taraza, D. “Quantifying Relationships Between the Crankshaft's Speed Variation and the Gas Pressure Torque” SAE 2001 World Congress 2001 Detroit, MI, USA Society of Automotive Engineers SAE 2001-01-1007
- Suykens, J.A.K. “Support Vector Machines: A Nonlinear Modelling and Control Perspective” European Journal of Control 2001 7 311 327
- Manzie, C. Watson H.C. Baker P. “Modelling the effects of combustion variability for application to idle speed control in SI engines” SAE Powertrain and Fluid Systems Conference 2002 San Diego, CA, USA Society of Automotive Engineers SAE 2002-01-2734
- Vapnik, V. The Nature of Statistical Learning Theory N.Y. Springer 1995
- Cristianini, N. Shawe-Taylor J. An introduction to support vector machines and other kernel-based learning methods United Kingdoms: Cambridge University Press 2000
- Smola, A.J. “Learning with Kernels” 1998 Berlin 210+xxvi
- Joachims, T. Making large-scale SVM learning practical Advances in Kernel Methods - Support Vector Learning Schölkopf B. Burges C. Smola A. 1999 MIT-Press 1999