Data driven simplified three-way catalyst health diagnostic models: Experimental results

Brandon M. Dawson, Matthew Franchek, Karolos Grigoriadis

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

3 Scopus citations

Abstract

Presented is the identification of simplified three-way catalyst (TWC) models from vehicle data. The simplified models are developed for multiple TWCs from two different classes: full useful life and threshold. The full useful life (FUL) TWCs represent catalysts from vehicles with 100,000 miles whereas threshold TWCs represent catalysts from vehicles with over 150,000 miles. The results showed that these simplified models have consistent parameter estimates when identified in a passive monitoring mode as the vehicle experiences a driving cycle from the Federal Test Procedure (FTP). Moreover the parameters of the simplified TWC models contain TWC health/age information. The model input is the air mass flow rate (AM) into the engine and the model output is a proposed TWC health measure developed in this paper. The impact of TWC temperature will also be detailed.

Original languageEnglish (US)
Title of host publicationProceedings of the ASME International Mechanical Engineering Congress and Exposition, IMECE 2007
Pages1565-1572
Number of pages8
Volume9 PART C
DOIs
StatePublished - Jun 2 2008
EventASME International Mechanical Engineering Congress and Exposition, IMECE 2007 - Seattle, WA, United States
Duration: Nov 11 2007Nov 15 2007

Other

OtherASME International Mechanical Engineering Congress and Exposition, IMECE 2007
CountryUnited States
CitySeattle, WA
Period11/11/0711/15/07

ASJC Scopus subject areas

  • Engineering(all)
  • Mechanical Engineering

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