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Neural Virtual Sensors — Estimation of Combustion Quality in SI Engines using the Spark Plug
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).ORCID iD: 0000-0002-4143-2948
Mecel AB, Åmål, Sweden.
Chalmers University of Technology, Göteborg, Sweden.
Chalmers University of Technology, Göteborg, Sweden.
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1998 (English)In: ICANN 98: Proceedings of the 8th International Conference on Artificial Neural Networks, Skövde, Sweden, 2-4 September 1998 / [ed] Lars Niklasson, Mikael Bodén, Tom Ziemke, London: Springer , 1998, 215-220 p.Conference paper, Published paper (Refereed)
Abstract [en]

We propose two virtual sensors which estimate the location of the pressure peak and the air-fuel ratio from measurements of the ionization current across the spark plug gap.

The location of pressure peak virtual sensor produces estimates on a cycle-by-cycle basis for each of the cylinders. These estimates are twice as good as estimates obtained from a linear model.

The air-fuel ratio virtual sensor uses the universal exhaust gas oxygen sensor as reference; it produces estimates that are ten times better than estimates obtained from a linear model.

Place, publisher, year, edition, pages
London: Springer , 1998. 215-220 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hh:diva-14708DOI: 10.1007/978-1-4471-1599-1_29Libris ID: 5382055ISBN: 978-3-540-76263-8 ISBN: 978-1-4471-1599-1 OAI: oai:DiVA.org:hh-14708DiVA: diva2:408318
Conference
ICANN'98 - International Conference on Artificial Neural Networks, Skövde, Sweden, September 2-4, 1998
Available from: 2011-04-04 Created: 2011-04-04 Last updated: 2016-03-11Bibliographically approved

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Wickström, NicholasSvensson, Bertil
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Citation style
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