The role of data choice in data driven identification for online emission models

Luigi Del Re, Markus Hirsch, Daniel Alberer, Stephan Winkler

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

2 Citations (Scopus)

Abstract

Data driven models are known to be a valid alternative to first principle approaches for modeling. However, in the case of complex and largely unknown systems such as the chemical reactions leading to engine emissions, experience shows that results from data driven models suffer from a significant dependence on the actual data set used for identification and are prone to an excessive complexity. This paper shows how the use of an incremental design of experiments based on polynomial models can be used to determine the appropriate complexity of the data set as well as a suitable measurement profile which yields an adequate excitation for the model parameter estimation. As this paper shows experimentally, this result is not specific to the particular identification approach used, but the same data set can be used e.g. by genetic programming (GP) algorithms which extract also the model structure from data. Results are shown using emission measurements on a modern turbocharged Diesel engine on an emission test bench.

Original languageEnglish
Title of host publicationIEEE SSCI 2011
Subtitle of host publicationSymposium Series on Computational Intelligence - CIVTS 2011: 2011 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems
Pages46-51
Number of pages6
DOIs
Publication statusPublished - 2011
EventSymposium Series on Computational Intelligence, IEEE SSCI2011 - 2011 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, CIVTS 2011 - Paris, France
Duration: 11 Apr 201115 Apr 2011

Publication series

NameIEEE SSCI 2011: Symposium Series on Computational Intelligence - CIVTS 2011: 2011 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems

Conference

ConferenceSymposium Series on Computational Intelligence, IEEE SSCI2011 - 2011 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, CIVTS 2011
CountryFrance
CityParis
Period11.04.201115.04.2011

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