Publications:Estimating pressure peak position and air-fuel ratio using the ionization current and artificial neural networks

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Title Estimating pressure peak position and air-fuel ratio using the ionization current and artificial neural networks
Author
Year 1997
PublicationType Conference Paper
Journal
HostPublication IEEE Conference on Intelligent Transportation Systems : proceedings, Boston Park Plaza Hotel, Boston, Massachusetts, November 9-12, 1997
Conference IEEE Conference on Intelligent Transportation Systems, ITSC, Boston, MA, USA, 9 -12 November, 1997
DOI http://dx.doi.org/10.1109/ITSC.1997.660605
Diva url http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:291829
Abstract

We propose two artificial neural network models which use the ionization current for estimation of the position of the pressure peak and the air-fuel ratio. The pressure peak position model 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 model uses the universal exhaust gas oxygen sensor as reference; it produces estimates that are ten times better than estimates obtained fi om a linear model.