Publications:Estimating pressure peak position and air-fuel ratio using the ionization current and artificial neural networks
From CERES
| Title | Estimating pressure peak position and air-fuel ratio using the ionization current and artificial neural networks |
|---|---|
| Author | Nicholas Wickström and Mikael Taveniku and Arne Linde and Magnus Larsson and Bertil Svensson |
| Year | 1997 |
| PublicationType | Conference Paper |
| Journal | |
| HostPublication | IEEE Conference on Intelligent Transportation Systems : proceedings, Boston Park Plaza Hotel, Boston, Massachusetts, November 9-12, 1997 |
| DOI | http://dx.doi.org/10.1109/ITSC.1997.660605 |
| Conference | IEEE Conference on Intelligent Transportation Systems, ITSC, Boston, MA, USA, 9 -12 November, 1997 |
| 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. |
