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

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Title Neural Virtual Sensors — Estimation of Combustion Quality in SI Engines using the Spark Plug
Author Nicholas Wickström and Magnus Larsson and Mikael Taveniku and Arne Linde and Bertil Svensson
Year 1998
PublicationType Conference Paper
Journal
HostPublication ICANN 98 : Proceedings of the 8th International Conference on Artificial Neural Networks, Skövde, Sweden, 2-4 September 1998
Conference ICANN'98 - International Conference on Artificial Neural Networks, Skövde, Sweden, September 2-4, 1998
DOI http://dx.doi.org/10.1007/978-1-4471-1599-1_29
Diva url http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:408318
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.