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Investigation of Predictive Models for Application in Engine Cold-Start Behavior
Technical Paper
2004-01-0994
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
The modern engine development process is characterized by shorter development cycles and a reduced number of prototypes. However, simultaneously exhaust after-treatment and emission testing is becoming increasingly more sophisticated. It is expected that predictive simulation tools that encompass the entire powertrain can potentially improve the efficiency of the calibration process.
The testing of an ECU using a HiL system requires a real-time model. Additionally, if the initial parameters of the ECU are to be defined and tested, the model has to be more accurate than is typical for ECU functional testing. It is possible to enhance the generalization capability of the simulation, with neuronal network sub-models embedded into the architecture of a physical model, while still maintaining real-time execution.
This paper emphasizes the experimental investigation and physical modeling of the port fuel injected SI engine. The methodology for implementation of the real-time model into development programs is also examined. The neural network approximation is briefly outlined and a more detailed discussion can be found in [1]1.
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Authors
- Stefan Pischinger
- Christof Schernus - FEV Motorentechnik GmbH
- Georg Lütkemeyer - FEV Motorentechnik GmbH
- H. J. Theuerkauf - Institute of Electrical Power Engineering - Drive Engineering (IEE-AT), University of Kassel
- Thomas Winsel - Institute of Electrical Power Engineering - Drive Engineering (IEE-AT), University of Kassel
- Mohamed Ayeb - Institute of Electrical Power Engineering - Drive Engineering (IEE-AT), University of Kassel
Topic
Citation
Pischinger, S., Schernus, C., Lütkemeyer, G., Theuerkauf, H. et al., "Investigation of Predictive Models for Application in Engine Cold-Start Behavior," SAE Technical Paper 2004-01-0994, 2004, https://doi.org/10.4271/2004-01-0994.Also In
References
- Winsel, T. Ayeb, M. Theuerkauf, H.J. Pischinger, S. Schernus, C. Lütkemeyer, G. “HiL-Calibration of SI Engine Cold Start and Warm-Up Using Neural Real-Time Model” SAE paper 2004-01-1362
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- Curtis, E.W. Aquino, C.F. Trumpy, D.K. Davis, G.C. “A New Port and Cylinder Wall Wetting Model to Predict Transient Air/Fuel Excursions in a Port Fuel Injected Engine” SAE-Paper No. 961186
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- Pischinger, S Theuerkauf, H. J. Ayeb, M. Lütkemeyer, G. Schernus, C. Winsel, T. Wilhelm, C. 2002 Nürnberg 2002
- Pischinger, S. Schernus, C. Lütkemeyer, G. Winsel, T. Theuerkauf, H. J. Ayeb, M. “Study on an Engine Model for Calibration Support at the Given Example of Cold Start and Warm-Up Behavior” 12 Aachen Colloquium Automobile and Engine Technology Aachen 2003
- Schernus, C. Rauscher, M. Fieweger, K. Lang, O. “Transient Simulation of a Diesel Engine as a Tool for Virtual Calibration” GT-Suite Users Conferences Frankfurt, Dearborn, Yokohama 1999
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- Winsel, T. “XtraNN - Software-Tools zur Generierung extrapolationsfähiger Prozessmodelle mit neuronalen Netzen” 1999 2003
- Winsel, Th. 2002
- Wermuth, N. TU Hannover 2002