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A Virtual Residual Gas Sensor to Enable Modeling of the Air Charge
Technical Paper
2016-01-0626
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Air charge calibration of turbocharged SI gasoline engines with both variable inlet valve lift and variable inlet and exhaust valve opening angle has to be very accurate and needs a high number of measurements. In particular, the modeling of the transition area from unthrottled, inlet valve controlled resp. throttled mode to turbocharged mode, suffers from small number of measurements (e.g. when applying Design of Experiments (DoE)). This is due to the strong impact of residual gas respectively scavenging dominating locally in this area. In this article, a virtual residual gas sensor in order to enable black-box-modeling of the air charge is presented. The sensor is a multilayer perceptron artificial neural network. Amongst others, the physically calculated air mass is used as training data for the artificial neural network. The air mass calculation is performed by taking into account valve timing, effective valve cross-sectional area and low-pressure indication at intake and exhaust manifold. It can be shown that by applying the virtual sensor, a global black-box-model of the air charge can be built. Furthermore, the sensor enables to reduce the required number of measurements by DoE and at the same time to maintain good modeling results. The global air charge model can be used to derive virtual measurements for the air charge calibration.
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Citation
Raidt, B., "A Virtual Residual Gas Sensor to Enable Modeling of the Air Charge," SAE Technical Paper 2016-01-0626, 2016, https://doi.org/10.4271/2016-01-0626.Also In
References
- Liu , J. , Xia , X. , Wang , Y. and Yang , H. Development of a fast response high accuracy virtual air flow meter for internal combustion engine applications Proceedings - 3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011 1 5720963 1037 1041 10.1109/ICMTMA.2011.260
- Andersson , P. and Eriksson , L. Cylinder Air Charge Estimator in Turbocharged SI-Engines SAE Technical Paper 2004-01-1366 2004 10.4271/2004-01-1366
- Studener , S. Combustion Engine Air Intake Theoretical Modelling, Model-Verification and Application to Optimal Valve Actuation Proceedings of MATHMOD 2012 - 7th Vienna International Conference on Mathematical Modelling 2012
- Rückert , J. , Hillers , C. and Konrad , H. Standardversuche - der Schlüssel für einen innovativen Versuchsbetrieb im Antriebsprüffeld 6. Internationales Symposium für Entwicklungsmethodik Germany 10. - 11. November, 2015
- Berger , B. Modeling and Optimization for Stationary Base Engine Calibration Ph.D. thesis Department of Mechanical Engineering, Technische Universität München 2012
- Deflorian , M. , Klöpper , F. and Rückert , J. Online dynamic black box modelling and adaptive experiment design in combustion engine calibration IFAC Proceedings Volumes (IFAC-PapersOnline) 703 708 2010 10.3182/20100712-3-DE-2013.00068
- Schwarz , F. and Spicher , U. Determination of Residual Gas Fraction in IC Engines SAE Technical Paper 2003-01-3148 2003 10.4271/2003-01-3148
- Schwarz , F. Untersuchungen zur Bestimmung und Beschreibung des Restgasverhaltens von 4-Takt-Verbrennungsmotoren Ph.D. thesis Mechanical Engineering Department, Universität Karlsruhe 2005
- Hristev , R. M. The ANN Book, Edition 1 GNU Public license 1998 153 154
- Klöpper , F. Entwicklung und Einsatz modellgestützter Online-Methoden zur Parameteroptimierung von Verbrennungsmotoren am Prüfstand Ph.D. thesis Mechanical Engineering Department, Technische Universität München 2009