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Development and Usage of a Continuously Differentiable Heavy Duty Diesel Engine Model Equipped with VGT and EGR
Linköping University, Department of Electrical Engineering, Vehicular Systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Electrical Engineering, Vehicular Systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Electrical Engineering, Vehicular Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-8646-8998
2017 (English)In: SAE Technical Papers 2017-01-0611, SAE International , 2017, article id 2017-01-0611Conference paper, Published paper (Refereed)
Abstract [en]

Today’s need for fuel efficient vehicles, together with increasing engine component complexity, makes optimal control a valuable tool in the process of finding the most fuel efficient control strategies. To efficiently calculate the solution to optimal control problems a gradient based optimization technique is desirable, making continuously differentiable models preferable. Many existing control-oriented Diesel engine models do not fully posses this property, often due to signal saturations or discrete conditions. This paper offers a continuously differentiable, mean value engine model, of a heavy-duty diesel engine equipped with VGT and EGR, suitable for optimal control purposes. The model is developed from an existing, validated, engine model, but adapted to be continuously differentiable and therefore tailored for usage in an optimal control environment. The changes due to the conversion are quantified and presented. Furthermore, it is shown and analyzed how to optimally control the engine in a fuel optimal way under steady-state conditions, and in a time optimal way in a tip-in scenario.

Place, publisher, year, edition, pages
SAE International , 2017. article id 2017-01-0611
Series
SAE Technical Papers, ISSN 0148-7191
National Category
Control Engineering Vehicle and Aerospace Engineering
Identifiers
URN: urn:nbn:se:liu:diva-141858DOI: 10.4271/2017-01-0611Scopus ID: 2-s2.0-85018403089OAI: oai:DiVA.org:liu-141858DiVA, id: diva2:1148104
Conference
WCX 17: SAE World Congress Experience, Detroit, Michigan, USA, April 4-6, 2017
Available from: 2017-10-10 Created: 2017-10-10 Last updated: 2025-02-14Bibliographically approved

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Eriksson, Lars

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
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Language
  • de-DE
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  • en-US
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  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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