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A Predictive Model of P max and IMEP for Intra-Cycle Control
Technical Paper
2014-01-1344
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
In order to identify predictive models for a diesel engine combustion process, combustion cylinder pressure together with other fuel path variables such as rail pressure, injector current and sleeve pressure of 1000 continuous cycles were sampled and collected at high resolution.
Using these engine steady state test data, three types of modeling approach have been studied. The first is the Auto-Regressive-Moving-Average (ARMA) model which had limited prediction ability for both peak combustion pressure (Pmax) and Indicated Mean Effective Pressure (IMEP). By applying correlation analysis, proper inputs were found for a linear predictive model of Pmax and IMEP respectively. The prediction performance of this linear model is excellent with a 30% fit number for both Pmax and IMEP. Further nonlinear modeling work shows that even a nonlinear Neural Network (NN) model does not have improved prediction performance compared to the linear predictive model.
These predictive models have great potential to be implemented online in an adaptive and recursive form for intra-cycle control applications.
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Yang, Z., Steffen, T., Stobart, R., and Winward, E., "A Predictive Model of Pmax and IMEP for Intra-Cycle Control," SAE Technical Paper 2014-01-1344, 2014, https://doi.org/10.4271/2014-01-1344.Also In
References
- Steffen , T. , Stobart , R. , and Yang , Z. , Challenges and Potential of Intra-Cycle Combustion Control for Direct Injection Diesel Engines SAE Technical Paper 2012-01-1158 2012 10.4271/2012-01-1158
- Yang , Z. , Steffen , T. , and Stobart , R. , Disturbance Sources in the Diesel Engine Combustion Process SAE Technical Paper 2013-01-0318 2013 10.4271/2013-01-0318
- Zander , C.-G. , Tunestal , P. , Stenlåås , O. , Johansson , B. , In-Cycle Closed Loop Control of the Fuel Injection on a 1-Cylinder Heavy Duty CI-Engine ASME Internal Combustion Engine Division ICED 2010 Fall Technical Conference 405 414 2010 10.1115/ICEF2010-35100
- Hauck , S. , The Roles of FPGA in Reprogrammable Systems IEEE 86 4 1998 10.1109/5.663540
- Rakopoulos , D.C. , Rakopoulos , C.D. , Giakoumis , E.G. , Papagiannakis , R.G. and Kyritsis , D.C. Experimental-Stochastic Investigation of the Combustion Cyclic Variability in HSDI Diesel Engine Using Ethanol-Diesel Fuel Blends Fuel 87 2008 1478 1491 10.1016/j.fuel.2007.08.012
- Yang , Z. , Stobart , R. , Winward , E. , and Steffen , T. , max SAE Technical Paper 2014-01-1350 2014 10.4271/2014-01-1350
- Winward , E. , Deng , J. , and Stobart , R. , Innovations In Experimental Techniques For The Development of Fuel Path Control In Diesel Engines SAE Int. J. Fuels Lubr. 3 1 594 613 2010 10.4271/2010-01-1132
- Husted , H. , Kruger , D. , Fattic , G. , Ripley , G. et al. Cylinder Pressure-Based Control of Pre-Mixed Diesel Combustion SAE Technical Paper 2007-01-0773 2007 10.4271/2007-01-0773
- Brockwell , P.J. and Davis , R.A. Introduction to Time Series and Forecasting Springer 2002
- Heywood J. B. Internal combustion engine fundamentals McGraw-Hill book co. 1988
- Ljung , L. MATLAB System Identification Toolbox User's Guide MathWorks©