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Robust AFR estimation using the ion current and neural networks
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).ORCID iD: 0000-0001-5163-2997
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).ORCID iD: 0000-0002-4143-2948
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1999 (English)In: SAE transactions, ISSN 0096-736X, Vol. 108, no 03, 1585-1589 p.Article in journal (Refereed) Published
Abstract [en]

A robust air/fuel ratio “soft sensor” is presented based on non-linear signal processing of the ion current signal using neural networks. Care is taken to make the system insensitive to amplitude variations, due to e.g. fuel additives, by suitable preprocessing of the signal.

Place, publisher, year, edition, pages
Society of Automotive Engineers , 1999. Vol. 108, no 03, 1585-1589 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hh:diva-5557DOI: 10.4271/1999-01-1161OAI: oai:DiVA.org:hh-5557DiVA: diva2:408957
Available from: 2011-04-06 Created: 2010-09-02 Last updated: 2016-04-13Bibliographically approved
In thesis
1. Virtual sensing of combustion quality in SI engines using the ion current
Open this publication in new window or tab >>Virtual sensing of combustion quality in SI engines using the ion current
2004 (English)Doctoral thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Göteborg: Chalmers tekniska högskola, 2004. 70 p.
Series
Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie, ISSN 0346-718x ; 2207
Keyword
Internal Combustion Engines, Spark Ignition, Estimation, Control, Neural Networks, Ion Current
National Category
Mechanical Engineering
Identifiers
urn:nbn:se:hh:diva-667 (URN)2082/1009 (Local ID)91-7291-525-0 (ISBN)2082/1009 (Archive number)2082/1009 (OAI)
Public defence
2004-11-19, Wgforssalen, Halmstad, 10:15 (English)
Opponent
Supervisors
Available from: 2007-05-07 Created: 2007-05-07 Last updated: 2016-04-13Bibliographically approved

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Munther, ThomasRögnvaldsson, ThorsteinnWickström, Nicholas
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Citation style
  • apa
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Output format
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