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ICANN 98 pp 215-220 | Cite as

Neural Virtual Sensors — Estimation of Combustion Quality in SI Engines using the Spark Plug

  • Nicholas Wickström
  • Magnus Larsson
  • Mikael Taveniku
  • Arne Linde
  • Bertil Svensson
Part of the Perspectives in Neural Computing book series (PERSPECT.NEURAL)

Abstract

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.

Keywords

Ionization Current Virtual Sensor Ionization Sensor Combustion Cycle Internal Combustion Engine Fundamental 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer-Verlag London 1998

Authors and Affiliations

  • Nicholas Wickström
    • 1
  • Magnus Larsson
    • 2
  • Mikael Taveniku
    • 3
  • Arne Linde
    • 3
  • Bertil Svensson
    • 3
    • 3
  1. 1.Centre for Computer systems Architecture (CCA)Halmstad UniversityHalmstadSweden
  2. 2.Mecel ABÅmålSweden
  3. 3.Dept of Computer EngineeringChalmers University of TechnologyGöteborgSweden

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