Dynamic modeling of engine combustion system using approximated kernel method

Kanako Shimojo, Kotaro Morikawa, Yusuke Kashima, Masaki Inoue, Shuichi Adachi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Recently, modeling methods using dynamic measurement data have attracted much attention in the automotive industry. A mathematical model of the gasoline engine is constructed in order to express and predict its transient response during running. Since in the modeling process, we need to handle an extremely large data set, the computational cost increases accordingly. In this paper, we apply the approximated kernel method to combustion modeling in the gasoline engine. An approximation of the kernel reduces the computational cost and enables us to handle a large data set. In addition, a strategy for setting tunable parameters is proposed by analyzing their effect on the model accuracy. The effectiveness of the approach is illustrated by constructing a combustion model using experimental data.

Original languageEnglish
Title of host publication2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1729-1734
Number of pages6
ISBN (Print)9781479977871
DOIs
Publication statusPublished - 2015 Nov 4
EventIEEE Conference on Control and Applications, CCA 2015 - Sydney, Australia
Duration: 2015 Sep 212015 Sep 23

Other

OtherIEEE Conference on Control and Applications, CCA 2015
CountryAustralia
CitySydney
Period15/9/2115/9/23

ASJC Scopus subject areas

  • Control and Systems Engineering

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  • Cite this

    Shimojo, K., Morikawa, K., Kashima, Y., Inoue, M., & Adachi, S. (2015). Dynamic modeling of engine combustion system using approximated kernel method. In 2015 IEEE Conference on Control and Applications, CCA 2015 - Proceedings (pp. 1729-1734). [7320859] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCA.2015.7320859