The main goal of current engine development is to increase power density and efficiency and to minimize engine emissions. The idea is to obtain the desired power output with a highly charged combustion engine in combination with exhaust gas turbocharging and a very small engine displacement, which is known as downsizing. The selection of a turbocharger is based on the maps of the turbine and compressor, which are usually measured on a test bench. They also provide important boundary conditions on the engine process simulation of a supercharged engine with this turbocharger. In general, a very accurate measurement of the characteristic maps is desired to ensure the best possible matching. However, random and systematic errors have an impact on the measurement results. In order to assess the quality of the measured and calculated values, it is necessary to determine the uncertainties of the measurement variables as accurately as possible; particularly, the error propagation in calculating the efficiencies. The uncertainties are based on a systematic uncertainty component of the sensor and the confidence interval. In this way, the measurement uncertainty is estimated by linear and geometric combination of the calculated random and systematic uncertainties. After that, the respective uncertainty contributions and the identification of the relevant parameters that influence the resulting measurement uncertainty are evaluated. Knowing the measurement uncertainties of the characteristic maps of a turbocharger, the influence on engine operation will be determined with a one-dimensional engine process simulation model. Consequently, the determined measurement uncertainty will be applied as a deviation on the efficiencies and will be investigated in a GT POWER simulation. The impact of the measurement uncertainty on the engine performance is shown on the basis of load steps.
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Berlin Institute of Technology,
Berlin D-10587,
e-mail: holger.mai@tu-berlin.de
Berlin D-10587,
e-mail:
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February 2014
Research-Article
Impact of Measurement Uncertainty in the Characteristic Maps of a Turbocharger on Engine Performance
Holger Mai,
Berlin Institute of Technology,
Berlin D-10587,
e-mail: holger.mai@tu-berlin.de
Holger Mai
1
Department of Internal Combustion Engines
,Berlin Institute of Technology,
Carnotstr. 1A
,Berlin D-10587,
Germany
e-mail: holger.mai@tu-berlin.de
1Corresponding author.
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Mathias Vogt,
Berlin D-10587,
e-mail:
Mathias Vogt
IAV–Automotive Engineering
,Carnotstr. 1
,Berlin D-10587,
Germany
e-mail:
mathias.vogt@iav.de
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Andreas Kinski
Andreas Kinski
e-mail: andreas.kinski@web.de
Berlin Institute of Technology,
Berlin D-10587,
Department of Internal Combustion Engines
,Berlin Institute of Technology,
Carnotstr. 1A
,Berlin D-10587,
Germany
Search for other works by this author on:
Holger Mai
Department of Internal Combustion Engines
,Berlin Institute of Technology,
Carnotstr. 1A
,Berlin D-10587,
Germany
e-mail: holger.mai@tu-berlin.de
Mathias Vogt
IAV–Automotive Engineering
,Carnotstr. 1
,Berlin D-10587,
Germany
e-mail:
mathias.vogt@iav.de
Roland Baar
e-mail: roland.baar@tu-berlin.de
Andreas Kinski
e-mail: andreas.kinski@web.de
Berlin Institute of Technology,
Berlin D-10587,
Department of Internal Combustion Engines
,Berlin Institute of Technology,
Carnotstr. 1A
,Berlin D-10587,
Germany
1Corresponding author.
Contributed by the Aircraft Engine Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received August 22, 2013; final manuscript received September 11, 2013; published online November 1, 2013. Editor: David Wisler.
J. Eng. Gas Turbines Power. Feb 2014, 136(2): 021201 (12 pages)
Published Online: November 1, 2013
Article history
Received:
August 22, 2013
Revision Received:
September 11, 2013
Citation
Mai, H., Vogt, M., Baar, R., and Kinski, A. (November 1, 2013). "Impact of Measurement Uncertainty in the Characteristic Maps of a Turbocharger on Engine Performance." ASME. J. Eng. Gas Turbines Power. February 2014; 136(2): 021201. https://doi.org/10.1115/1.4025485
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