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An ion current algorithm for fast determination of high combustion variability
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Intelligent systems (IS-lab).
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Intelligent systems (IS-lab).
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Intelligent systems (IS-lab).ORCID iD: 0000-0002-4143-2948
2004 (English)Conference paper, Published paper (Refereed)
Abstract [en]

It is desirable for an engine control system to maintain a stable combustion. A high combustion variability (typically measured by the relative variations in produced work, COV(IMEP)) can indicate the use of too much EGR or a too lean air-fuel mixture, which results in less engine efficiency(in terms of fuel and emissions) and reduced driveability. The coefficient of variation (COV) of the ion current integral has previously been shown in several papers to be correlated to the coefficient of variation of IMEP for various disturbances (e.g. AFR, EGR and fuel timing). This paper presents a cycle-to-cycle ion current based method of estimating the approximate category of IMEP (either normal burn, slow burn, partial burn or misfire) for the case of lean air-fuel ratio. The rate of appearance of the partial burn and misfire categories is then shown to be well correlated with the onset of high combustion variability(high COV(IMEP)). It is demonstrated that the detection of these categories can result in faster determination(prediction) of high variability compared to only using the COV(Ion integral). Copyright © 2004 SAE International.

Place, publisher, year, edition, pages
2004.
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:hh:diva-14591DOI: 10.4271/2004-01-0522Scopus ID: 2-s2.0-33749250538OAI: oai:DiVA.org:hh-14591DiVA: diva2:404647
Conference
SAE World Congress, Detroit, MI, USA, March 8-11, 2004
Note

SAE Technical Paper 2004-01-0522. Funding: Swedish National Energy Administration

Available from: 2011-03-17 Created: 2011-03-17 Last updated: 2016-05-03Bibliographically approved
In thesis
1. Algorithms for ion current based sensing of combustion variability and pressure peak position
Open this publication in new window or tab >>Algorithms for ion current based sensing of combustion variability and pressure peak position
2003 (English)Licentiate thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Göteborg: Chalmers tekniska högsk., 2003. 43 p.
Series
Technical report. L, ISSN 1651-4998 ; 482
Keyword
SI engines, Combustion variability, Ion currents, Location of pressure peak, Exhaust Gas Recirculation, Electronic engine control
National Category
Control Engineering
Identifiers
urn:nbn:se:hh:diva-666 (URN)2082/1008 (Local ID)2082/1008 (Archive number)2082/1008 (OAI)
Presentation
2003-12-09, Wigforssalen, Visionen, Kristian IV:s väg 3, Halmstad, 10:00 (English)
Supervisors
Projects
SCALE (Self CALibrating Engine control)
Funder
Knowledge Foundation
Note

Funding: STEM (Swedish National Energy Administration), the KK-foundation & Mecel AB

Available from: 2007-05-07 Created: 2007-05-07 Last updated: 2016-05-03Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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More languages
Output format
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  • text
  • asciidoc
  • rtf