hh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Algorithms for ion current based sensing of combustion variability and pressure peak position
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS). Chalmers University of Technology, Göteborg, Sweden.
2003 (English)Licentiate thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Göteborg: Chalmers tekniska högsk. , 2003. , p. 43
Series
Technical report. L, ISSN 1651-4998 ; 482
Keywords [en]
SI engines, Combustion variability, Ion currents, Location of pressure peak, Exhaust Gas Recirculation, Electronic engine control
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:hh:diva-666Libris ID: 9195154Local ID: 2082/1008OAI: oai:DiVA.org:hh-666DiVA, id: diva2:237884
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: 2018-03-23Bibliographically approved
List of papers
1. Strategies for handling the fuel additive problem in neural network based ion current interpretation
Open this publication in new window or tab >>Strategies for handling the fuel additive problem in neural network based ion current interpretation
2001 (English)Conference paper, Published paper (Refereed)
Abstract [en]

With the introduction of unleaded gasoline, special fuel agents have appeared on the market for lubricating and cleaning the valve seats. These fuel agents often contain alkali metals that have a significant impact on the ion current signal, thus affecting strategies that use the ion current for engine control and diagnosis, e.g., for estimating the location of the pressure peak. This paper introduces a method for making neural network algorithms robust to expected disturbances in the input signal and demonstrates how well this method applies to the case of disturbances to the ion current signal due to fuel additives containing sodium. The performance of the neural estimators is compared to a Gaussian fit algorithm, which they outperform. It is also shown that using a fuel additive significantly improves the estimation of the location of the pressure peak. © 2001 Society of Automotive Engineers, Inc.

Place, publisher, year, edition, pages
Warrendale, PA: Society of Automotive Engineers, 2001
Series
SAE2001 Transaction - Journal of Fuels and Lubricants ; 4
National Category
Control Engineering
Identifiers
urn:nbn:se:hh:diva-5019 (URN)10.4271/2001-01-0560 (DOI)2-s2.0-84877564795 (Scopus ID)0-7680-1100-0 (ISBN)
Conference
SAE 2001 World Congress, Session: Electronic Engine Controls (Part C&D), Detroit, MI, USA, 5-8 March, 2001
Funder
Knowledge Foundation
Note

Paper no: 2001-01-0560. Funding: KK-foundation & Mecel AB

Available from: 2010-06-28 Created: 2010-06-28 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
Keywords
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. An ion current algorithm for fast determination of high combustion variability
Open this publication in new window or tab >>An ion current algorithm for fast determination of high combustion variability
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.

National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:hh:diva-14591 (URN)10.4271/2004-01-0522 (DOI)2-s2.0-33749250538 (Scopus ID)
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: 2018-03-23Bibliographically approved
4. Ion Current Based Control of Combustion Variability
Open this publication in new window or tab >>Ion Current Based Control of Combustion Variability
2003 (English)Conference paper, Published paper (Other academic)
National Category
Control Engineering
Identifiers
urn:nbn:se:hh:diva-30826 (URN)
Conference
Mekatronikmötet 2003, Chalmers, Göteborg, Sweden, 27-28 Aug., 2003
Available from: 2016-05-03 Created: 2016-05-03 Last updated: 2018-03-22Bibliographically approved

Open Access in DiVA

No full text in DiVA

Authority records BETA

Byttner, Stefan

Search in DiVA

By author/editor
Byttner, Stefan
By organisation
Halmstad Embedded and Intelligent Systems Research (EIS)
Control Engineering

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 208 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf