Model-based selective catalytic reduction systems aging estimation

Yao Ma, Junmin Wang

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

1 Scopus citations

Abstract

This paper presents an estimation method for automotive selective catalytic reduction (SCR) systems aging conditions. SCR has been widely recognized as one of the leading after treatment systems for reducing Diesel powertrain tailpipe NOx emissions in ground vehicle applications. While fresh SCRs are quite effective in reducing tailpipe NOx emissions, their NOx reduction capabilities and performances may substantially degrade with in-service aging. To maintain the emission control performance of a SCR system during the entire vehicle service life, it is thus critical to have an accurate estimation of SCR system aging condition. In this paper, a Lyapunov-based observer is analytically developed for estimating the SCR aging condition and verified in simulations. The measurement uncertainty is explicitly considered in the observer design process. A sufficient condition for the boundedness of the estimation error is derived. Simulation results under the US06 test cycle demonstrate effectiveness of the proposed observer.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1521-1526
Number of pages6
ISBN (Electronic)9781509020652
DOIs
StatePublished - Sep 26 2016
Event2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016 - Banff, Canada
Duration: Jul 12 2016Jul 15 2016

Publication series

NameIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
Volume2016-September

Conference

Conference2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016
CountryCanada
CityBanff
Period07/12/1607/15/16

Keywords

  • SCR
  • aging
  • emissions
  • engine
  • estimation

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  • Cite this

    Ma, Y., & Wang, J. (2016). Model-based selective catalytic reduction systems aging estimation. In 2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016 (pp. 1521-1526). [7576986] (IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM; Vol. 2016-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AIM.2016.7576986