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Virtual sensing of combustion quality in SI engines using the ion current
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).ORCID iD: 0000-0002-4143-2948
2004 (English)Doctoral thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Göteborg: Chalmers tekniska högskola , 2004. , p. 70
Series
Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie, ISSN 0346-718x ; 2207
Keyword [en]
Internal Combustion Engines, Spark Ignition, Estimation, Control, Neural Networks, Ion Current
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:hh:diva-667Libris ID: 9684012Local ID: 2082/1009ISBN: 91-7291-525-0 OAI: oai:DiVA.org:hh-667DiVA, id: diva2:237885
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
List of papers
1. Robust AFR estimation using the ion current and neural networks
Open this publication in new window or tab >>Robust AFR estimation using the ion current and neural networks
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1999 (English)In: SAE transactions, ISSN 0096-736X, Vol. 108, no 03, p. 1585-1589Article 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. The algorithm estimates the air/fuel ratio to within 1.2% from the correct value, defined by a universal exhaust gas oxygen (UEGO) sensor, when tested on steady state test-bench data and using the raw ion current signal. Normalizing the ion current increases robustness but also increases the error by a factor of two. The neural network soft sensor is about 20 times better in the case where the ion current is not normalized, compared with a linear model. On normalized ion currents the neural network model is about 4 times better than the corresponding linear model. Copyright © 1999 Society of Automotive Engineers, Inc.

Place, publisher, year, edition, pages
New York: Society of Automotive Engineers, 1999
National Category
Engineering and Technology
Identifiers
urn:nbn:se:hh:diva-5557 (URN)10.4271/1999-01-1161 (DOI)2-s2.0-84877183227 (Scopus ID)
Available from: 2011-04-06 Created: 2010-09-02 Last updated: 2018-03-23Bibliographically approved
2. Estimation of combustion variability using in-cylinder ionization measurements
Open this publication in new window or tab >>Estimation of combustion variability using in-cylinder ionization measurements
2001 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This paper investigates the use of the ionization current to estimate the Coefficient of Variation for the Indicated Mean Effective Pressure, COV(IMEP), which is a common variable for combustion stability in a spark-ignited engine. Stable combustion in this definition implies that the variance of the produced work, measured over a number of consecutive combustion cycles, is small compared to the mean of the produced work. The COV(IMEP) is varied experimentally either by increasing EGR flow or by changing the air-fuel ratio, in both a laboratory setting (engine in dynamometer) and in an on-road setting. The experiments show a positive correlation between COV(Ion integral), the Coefficient of Variation for the integrated Ion Current, and COV(IMEP), when measured under low load on an engine in a dynamometer, but not under high load conditions. On-road experiments show a positive correlation, but only in the EGR and the lean burn case. An approach based on individual cycle classification for real-time estimation of combustion stability is discussed. © Copyright 2001 Society of Automotive Engineers, Inc.

Place, publisher, year, edition, pages
Warrendale, PA: Society of Automotive Engineers, 2001
Series
SAE technical paper series, ISSN 0148-7191
Keyword
Combustion Variability
National Category
Engineering and Technology Control Engineering
Identifiers
urn:nbn:se:hh:diva-5020 (URN)10.4271/2001-01-3485 (DOI)2-s2.0-84877546502 (Scopus ID)
Conference
SAE International Fall Fuels & Lubricants Meeting & Exhibition, Session: Experimental Investigation of SI Engines (Part A&B), San Antonio, TX, USA, September 24-27, 2001
Note

SAE Technical Paper 2001-01-3485. Funding: Swedish National Energy Administration (STEM)

Available from: 2010-06-28 Created: 2010-06-28 Last updated: 2018-03-23Bibliographically approved
3. The effect of in-cylinder gas flow on the interpretation of the ionization sensor signal
Open this publication in new window or tab >>The effect of in-cylinder gas flow on the interpretation of the ionization sensor signal
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2003 (English)Conference paper, Published paper (Refereed)
Abstract [en]

The location of the peak pressure can serve as a control parameter to adjust ignition timing and optimize engine performance. The ionization sensor, an electrical probe for combustion diagnostics, can provide information about the peak pressure location. However, the reliability of such information is rather poor. In-cylinder gas flow at the electrodes may be one reason for this. We present results from an investigation of the relationship between ionization sensor current and pressure under various gas flow conditions. The gas flow velocity in the vicinity of the electrode gap was measured by LDA. From the results one may infer how the in-cylinder gas flow affects the reliability of the prediction of pressure peak location from the ionization sensor signal. One finding is that high bulk gas flow impairs the precision of the prediction in certain configurations.

Place, publisher, year, edition, pages
Warrendale: S A E Inc., 2003
Series
SAE Technical Papers, ISSN 0148-7191 ; 2003-01-1120
Keyword
Combustion diagnostics, Control parameters, Electrical probes, Electrode gap, Engine performance, Flow condition, Ignition timing, Peak pressure, Pressure peaks, Sensor current, Sensor signals
National Category
Mechanical Engineering
Identifiers
urn:nbn:se:hh:diva-5559 (URN)10.4271/2003-01-1120 (DOI)2-s2.0-80055065267 (Scopus ID)
Conference
SAE 2003 World Congress & Exhibition, March 3, 2003, Detroit, Michigan, United States
Available from: 2011-04-06 Created: 2010-09-02 Last updated: 2016-04-13Bibliographically approved
4. Robust tuning of Individual Cylinders AFR in SI Engines with the Ion Current
Open this publication in new window or tab >>Robust tuning of Individual Cylinders AFR in SI Engines with the Ion Current
2005 (English)In: SAE Transactions, ISSN 0096-736X, Vol. 114, no 03, p. 48-52Article in journal (Refereed) Published
Abstract [en]

A method for robust tuning of individual cylinders air-fuel ratio is proposed. The fuel injection is adjusted so that each cylinder has the same air-fuel ratio in inner control loops, and the resulting air-fuel ratio in the exhaust pipe is controlled with an exhaust gas oxygen sensor (EGO) in an outer control loop to achieve stoichiometric air-fuel ratio. Correction factors to provide cylinder individual fuel injection timing are calculated based on measurements of the ion currents for the individual cylinders. An implementation in a production vehicle is shown with results from driving on the highway. © 2005 SAE International.

Place, publisher, year, edition, pages
New York: Society of Automotive Engineers, 2005
National Category
Engineering and Technology
Identifiers
urn:nbn:se:hh:diva-14594 (URN)10.4271/2005-01-0020 (DOI)2-s2.0-79959543541 (Scopus ID)
Conference
SAE World Congress & exhibition 2005
Available from: 2011-03-17 Created: 2011-03-17 Last updated: 2018-03-23Bibliographically approved
5. Neural networks for extracting the pressure peak position from the ion current
Open this publication in new window or tab >>Neural networks for extracting the pressure peak position from the ion current
2004 (English)In: Virtual sensing of combustion quality in SI engines using the ion current, Göteborg: Chalmers tekniska högskola , 2004, p. 95-110Chapter in book (Other academic)
Place, publisher, year, edition, pages
Göteborg: Chalmers tekniska högskola, 2004
Series
Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie, ISSN 0346-718X ; 2207
National Category
Mechanical Engineering
Identifiers
urn:nbn:se:hh:diva-30736 (URN)91-7291-525-0 (ISBN)
Note

Submitted to Control Engineering Practice (in review), 2004

Available from: 2016-04-13 Created: 2016-04-13 Last updated: 2018-03-22Bibliographically approved

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Wickström, Nicholas

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Citation style
  • apa
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  • de-DE
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  • nn-NO
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More languages
Output format
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  • asciidoc
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