Difference between revisions of "Publications:Estimating pressure peak position and air-fuel ratio using the ionization current and artificial neural networks"
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| − | |Name=Wickström, Nicholas | + | |Name=Wickström, Nicholas (nicholas) (0000-0002-4143-2948) (Högskolan i Halmstad (2804), Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) (3905));Taveniku, Mikael (Chalmers);Linde, Arne (Chalmers);Larsson, Magnus (Mecel AB);Svensson, Bertil (bertil) (0000-0001-6625-6533) (Högskolan i Halmstad (2804), Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) (3905)) |
|Title=Estimating pressure peak position and air-fuel ratio using the ionization current and artificial neural networks | |Title=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. |
