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Air mass-flow measurement and estimation in diesel engines equipped with EGR and VGT
Linköping University, The Institute of Technology. Linköping University, Department of Electrical Engineering, Vehicular Systems.
Linköping University, The Institute of Technology. Linköping University, Department of Electrical Engineering, Vehicular Systems.ORCID iD: 0000-0001-8646-8998
Linköping University, The Institute of Technology. Linköping University, Department of Electrical Engineering, Vehicular Systems.ORCID iD: 0000-0001-7349-1937
2008 (English)Conference paper, Published paper (Refereed)
Abstract [en]

With stricter emission legislations and customer demands on low fuel consumption, good control strategies are necessary. This may involve control of variables that are hard, or even impossible, to measure with real physical sensors. By applying estimators or observers, these variables can be made available. The quality of a real sensor is determined by e.g. accuracy, drift and aging, but assessing the quality of an estimator is a more subtle task. An estimator is the result of a design work and hence, connected to factors like application, model, control error and robustness.

The air mass-flow in a diesel engine is a very important quantity that has a direct impact on many control and diagnosis functions. The quality of the air mass-flow sensor in a diesel engine is analyzed with respect to day-to-day variations, aging, and differences in engine configurations. The investigation highlights the necessity of continuous monitoring and adaption of the air mass-flow. One way to do this is to use an estimator. Nine estimators are designed for estimation of the air mass-flow with the aim of assessing different quality measures. In the study of the estimators and quality measures it is evident that model accuracy is important and that special care has to be taken, regarding what quality measure to use, when the estimator performance is evaluated.

Place, publisher, year, edition, pages
Detroit, USA: SAE , 2008. p. 393-402
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-42834DOI: 10.4271/2008-01-0992Local ID: 69184OAI: oai:DiVA.org:liu-42834DiVA, id: diva2:263691
Conference
2008 World Congress; Detroit, MI; United States; 14 April 2008 through 17 April 2008
Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2021-12-28

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Höckerdal, ErikEriksson, LarsFrisk, Erik

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
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Language
  • de-DE
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  • Other locale
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Output format
  • html
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  • asciidoc
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