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Computationally inexpensive methods of ion current signal manipulation for predicting the characteristics of engine in-cylinder pressure

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journal contribution
posted on 20.10.2008, 08:33 by Andreas Gazis, Dimitris Panousakis, Rui ChenRui Chen, Wen-Hua ChenWen-Hua Chen
Recent research on the use of ion current has focused on matching the characteristics of the in-cylinder pressure, thus avoiding the use of a pressure transducer. This paper explores techniques of calculating these pressure characteristics through the use of simple and computationally inexpensive artificial neural networks. Two neural networks are presented to deduce the in-cylinder pressure from ion current measurements, where one is used to predict the characteristics directly and the other is used to calculate the in-cylinder pressure curve. Experimental results show that both networks give satisfactory results for different purposes. Some engineering implementation issues and the further improvement of the developed techniques are discussed.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Citation

GAZIS, A. ... et al, 2006. Computationally inexpensive methods of ion current signal manipulation for predicting the characteristics of engine in-cylinder pressure. International Journal of Engine Research, 7 (3), pp. 271-282 [DOI: 10.1243/14680874JER04005]

Publisher

© IMechE / Professional Engineering Publishing

Publication date

2006

Notes

This article was published in the journal, International Journal of Engine Research [© IMechE] and is also available at: http://journals.pepublishing.com/content/119772

ISSN

1468-0874

Language

en