Publications:Ion current based pressure peak detection under different air humidity conditions
From ISLAB/CAISR
| Title | Ion current based pressure peak detection under different air humidity conditions |
|---|---|
| Author | Magnus Hellring and Thorsteinn Rögnvaldsson and Nicholas Wickström and Magnus Larsson |
| Year | 2000 |
| PublicationType | Conference Paper |
| Journal | |
| HostPublication | Advanced Microsystems for Automotive Applications 2000 |
| Conference | Conference on Advanced Microsystems for Automotive Applications (AMAA 2000), BERLIN, GERMANY, APR, 2000 |
| DOI | http://dx.doi.org/10.1007/978-3-642-18146-7_11 |
| Diva url | http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:291786 |
| Abstract | A model based soft sensor that estimates the location of the in-cylinder pressure peak from the ion current is described. The soft sensor uses a neural network algorithm and has been implemented in a SAAB 9000 low-pressure turbo production car. It estimates the pressure peak location, in real time, during normal highway driving with an error of 2-3 crank angle degrees. The soft sensor has been tested during normal Scandinavian weather conditions, with a relative air humidity of about 50%, as well as when water is sprayed into the intake manifold, resulting in approximately 100% relative humidity. The neural network based soft sensor is significantly better than that of another method, based on nonlinear Gaussian curve fits, for the same task. |
