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Compression ratio estimation based on cylinder pressure data
Linköping University, The Institute of Technology. Linköping University, Department of Electrical Engineering.
Linköping University, The Institute of Technology. Linköping University, Department of Electrical Engineering, Vehicular Systems.
Linköping University, The Institute of Technology. Linköping University, Department of Electrical Engineering, Vehicular Systems.
2006 (English)In: Control Engineering Practice, ISSN 0967-0661, E-ISSN 1873-6939, Vol. 14, no 3 SPEC. ISS., 197-211 p.Article in journal (Refereed) Published
Abstract [en]

Four methods for compression ratio estimation based on cylinder pressure traces are developed and evaluated for both simulated and experimental cycles. The first three methods rely upon a model of polytropic compression for the cylinder pressure. It is shown that they give a good estimate of the compression ratio at low compression ratios, although the estimates are biased. A method based on a variable projection algorithm with a logarithmic norm of the cylinder pressure yields the smallest confidence intervals and shortest computational time for these three methods. This method is recommended when computational time is an important issue. The polytropic pressure model lacks information about heat transfer and therefore the estimation bias increases with the compression ratio. The fourth method includes heat transfer, crevice effects, and a commonly used heat release model for firing cycles. This method is able to estimate the compression ratio more accurately in terms of bias and variance. The method is more computationally demanding and is therefore recommended when estimation accuracy is the most important property. © 2005 Elsevier Ltd. All rights reserved.

Place, publisher, year, edition, pages
2006. Vol. 14, no 3 SPEC. ISS., 197-211 p.
Keyword [en]
Nonlinear least squares, Parameter estimation, SI engine, Variable compression ratio, Variable projection, Weighted least squares
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-50283DOI: 10.1016/j.conengprac.2005.03.022OAI: oai:DiVA.org:liu-50283DiVA: diva2:271179
Available from: 2009-10-11 Created: 2009-10-11 Last updated: 2017-12-12

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Klein, MarcusEriksson, LarsÅslund, Jan

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  • apa
  • harvard1
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  • de-DE
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  • nn-NB
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  • Other locale
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