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Geometry-Based Compressor Data-Maps Prediction
Technical Paper
2013-01-0933
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
In the past few years, the increasing market penetration of downsized engines has reduced the pollutant emissions of internal combustion engines. The addition of a turbocharger to the air path has usually enabled the dynamic performances of the vehicles to be maintained. However, in the development process, deciding on the appropriate set of components is not straightforward and a lengthy fitting process is usually required to find the right turbocharger. Car manufacturers usually have access to a limited library of compressors and turbines which have actually been built and for which measurement campaigns have been carried out. This study is motivated by the need to extend the libraries available for simulation in order to provide a substantial increase in freedom in the matching process.
In this paper, we present three different methods to predict the two compressor data-maps that are usually needed in simulations: mass flow rate and isentropic efficiency versus pressure ratio and rotational speed. With the first two methods, extended data-maps are obtained using only the inducer and exducer diameters, the Trim and the A/R ratio of the compressor, i.e. only geometrical characteristics. However, their accuracy remains limited to the database that is used to train the model. The third method consists in predicting the influence of a geometry change on the compressor data-maps. It is considerably more accurate than the first two methods. The paper will present results obtained for more than thirty compressors which have been used to calibrate and validate the tools.
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Authors
Citation
El Hadef, J., Janas, P., Colin, G., Talon, V. et al., "Geometry-Based Compressor Data-Maps Prediction," SAE Technical Paper 2013-01-0933, 2013, https://doi.org/10.4271/2013-01-0933.Also In
References
- Dowell , P. and Akehurst , S. Advanced Mapping Techniques for Radial Compressor for Use in Real-Time Engine Models SAE Technical Paper 2010-01-1227 2010 10.4271/2010-01-1227
- El Hadef , J , Colin , G. , Chamaillard , Y. , and Talon , V. Physical-Based Algorithms for Interpolation and Extrapolation of Turbocharger Data Maps SAE Int. J. Engines 5 2 363 378 2012 10.4271/2012-01-0434
- Eriksson , L. Mean Value Models for Exhaust System Temperatures SAE Technical Paper 2002-01-0374 2002 10.4271/2002-01-0374
- Eriksson L. et al. Modeling of a Turbocharged SI Engine Annual Reviews in Control 26 2002 129 137
- Eriksson L. Modeling and Control of Turbocharged SI and DI Engines Oil & Gas Science and Technology -Rev. IFP Energies nouvelles 62 2007 523 538
- Fritsch F. N. and Carlons R. E. Monotone Piecewise Cubic Interpolation SIAM Journal on Numerical Analysis 17 1980
- Hendricks E. Isothermal versus Adiabatic Mean Value SI Engine Models 3rd IFAC Workshop, Advances in Automotive Control 2001 373 378
- Heywood J. B. Internal Combustion Engines Fundamentals McGraw-Hill 1988
- Jensen , J. , Kristensen , A. , Sorenson , S. , Houbak , N. et al. Mean Value Modeling of a Small Turbocharged Diesel Engine SAE Technical Paper 910070 1991 10.4271/910070
- Martin , G. , Talon , V. , Higelin , P. , Charlet , A. et al. Implementing Turbomachinery Physics into Data Map-Based Turbocharger Models SAE Int. J. Engines 2 1 211 229 2009 10.4271/2009-01-0310
- Martin , G. , Talon , V. , Peuchant , T. , Higelin , P. et al. Physics based diesel turbocharger model for control purposes SAE Technical Paper 2009-24-0123 2009 10.4271/2009-24-0123
- Moraal , P. and Kolmanovsky , I. Turbocharger Modeling for Automotive Control Applications SAE Technical Paper 1999-01-0908 1999 10.4271/1999-01-0908
- Moulin P. et al. Modelling and Control of the Air System of a Turbocharged Gasoline Engine Proc. of the IFAC World Conference 2008 2008
- Müller , M. , Hendricks , E. , and Sorenson , S. Mean Value Modelling of Turbocharged Spark Ignition Engines SAE Technical Paper 980784 1998 10.4271/980784
- Scott R. E. Maximum Likelihood Estimation: Logic and Practice SAGE University Paper 96 1993
- Stein M. L. Interpolation of Spatial Data: Some Theory for Kriging Springer-Verlag New-York 1999
- Vítek , O. , Macek , J. , and Polášek , M. New Approach to Turbocharger Optimization using 1-D Simulation Tools SAE Technical Paper 2006-01-0438 2006 10.4271/2006-01-0438