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In-Cylinder Pressure based Modeling for Injection Parameters by PCA with Feature Correlation Analysis
Technical Paper
2013-24-0148
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Modern Diesel engines have become complex systems with a high number of available sensor information and degrees of freedom in control. Due to recent developments in production type in-cylinder pressure sensors, there is again an upcoming interest for in-cylinder pressure based applications. Besides the standard approaches, like to use it for closed loop combustion control, also estimation and on-board diagnostics have become important topics. Not surprising in general the trend is to utilize those sensors for as many tasks as possible.
Consequently this work focuses on the estimation of the injection parameters based on the indicated pressure signal information which can be seen as first step of a combustion control based on desirable indicated pressure characteristics which may be utilized for e.g. the minimization of NOx emissions.
Currently the acquisition of the cylinder pressure traces can be done in real-time by fast FPGA (Field Programmable Gate Array) based systems. However, a crucial part of such cylinder pressure based approaches is to extract the information of the cylinder pressure traces since the raw pressure signals are often available with a resolution of 0.5 CAD and thus per engine cycle 1440 data points are recorded. To post process this information different data reduction techniques are available. Whichever technique used, two differing tasks have to be concerned, on one hand the number of inputs should be as low as possible to keep the model structure simple, but still the significant information should be preserved. However, the number of necessary quantities, e.g. in the case of principle component analysis (PCA) the so called features, cannot be straightforward determined and may depend on the modeled quantity or model type.
To this end in this work a PCA reduction approach is extended to tackle three different issues: First, the optimal amount of features for the start of the main injection and the main injection amount are determined by data analysis. And second it is analyzed, whether an identical number of features and amount of parameters is applicable for both injection parameter models. The last issue considers if a direct relation between a certain feature and the injection parameters are detectable.
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Citation
Stadlbauer, S., Waschl, H., and del Re, L., "In-Cylinder Pressure based Modeling for Injection Parameters by PCA with Feature Correlation Analysis," SAE Technical Paper 2013-24-0148, 2013, https://doi.org/10.4271/2013-24-0148.Also In
References
- Fleming W. New Automotive Sensors - A Review IEEE Sensor Journal 8 1900 1921 2008
- Willems , F. , Doosje , E. , Engels , F. , and Seykens , X. Cylinder Pressure-Based Control in Heavy-Duty EGR Diesel Engines Using a Virtual Heat Release and Emission Sensor SAE Technical Paper 2010-01-0564 2010 10.4271/2010-01-0564
- Lewander M. , Widd A. , Johansson B. , and Tunestal P. Steady state fuel consumption opimization trough feedback control of estimated cylinder individual efficiency American Control Conference Montreal 2012
- Hadler J. , Falko R. , Dorenkamp R. , Stehr H. , Hilzendeger J. , and Kranzusch S. Volswagen's New 2.0 l TDI Engine for the Most Stringent Emission Standards - Part 1 MTZ worldwide edition 2008
- Desantes J. M. , Galindo J. , Guardiola C. , and Dolz V. Air mass flow estimation in turbocharged diesel engines from in-cylinder pressure measurement Experimental and Thermal Fluid Science 34 37 47 2010
- Worm , J. An Evaluation of Several Methods for Calculating Transient Trapped Air Mass with Emphasis on the “Delta P” Approach SAE Technical Paper 2005-01-0990 2005 10.4271/2005-01-0990
- Becker M. , Kienzle D. , Shutty J. , and Wenzel W. Estimation of Parameters in the Gas Exchange Path by Valuation of the Cylinder Pressure MTZ worldwide edition 2012
- Formentin S. , Alberer D. , Corno M. , del Re L. , and Savaresi S. NOx estimation via in-cylinder pressure feature extraction IFAC Sympossium on System Identification Brussels July 2012 2012
- Stadlbauer , S. , Alberer , D. , Hirsch , M. , Formentin , S. et al. Evaluation of Virtual NOx Sensor Models for Off Road Heavy Duty Diesel Engines SAE Int. J. Commer. Veh. 5 1 128 140 2012 10.4271/2012-01-0358
- Bottelli , S. , Waschl , H. , Savaresi , S. , del Re , L. et al. Data Driven Estimation of Exhaust Manifold Pressure by Use of In-cylinder Pressure Information SAE Int. J. Engines 6 1 659 668 2013 10.4271/2013-01-1749
- Jolliffe I. Principle Component analysis 2nd Springer 2002
- Henningsson M. , Tunestal P. , and Johansson R. A Virtual Sensor for Predicting Diesel Engine Emissions from Cylinder Pressure Data IFAC Workshop on Engine and Powertrain Control, Simulation and Modeling 2012
- Colin , G. , Giansetti , P. , Chamaillard , Y. , and Higelin , P. In-Cylinder Mass Estimation Using Cylinder Pressure SAE Technical Paper 2007-24-0049 2007 10.4271/2007-24-0049
- Hirsch , M. and del Re , L. Adapted D-Optimal Experimental Design for Transient Emission Models of Diesel Engines SAE Technical Paper 2009-01-0621 2009 10.4271/2009-01-0621