Model-based estimation of ethanol content in flexible fuel vehicles

Rohit Zope, Matthew Franchek, Karolos Grigoriadis, Gopichandra Surnilla, Stephen Smith

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

4 Scopus citations

Abstract

Presented in this paper is a model-based method for accurately estimating the percent ethanol content of an ethanol-gasoline fuel blend used in flexible fuel vehicles (FFVs). Few methods exist in literature addressing the problem of ethanol estimation in production FFVs. The proposed approach has a distinct advantage as it uses the existing sensor set on a production vehicle. Measurements from the sensors are used to adapt a steady state parametric model relating the engine speed, throttle angle opening and the air-fuel ratio to the fuel injector pulse width command. A first-principles physics-based approach is used to develop the model structure. The fuel composition information is embedded in the adapted model coefficients whose variation is used for ethanol content estimation. The method is validated with experiments on a 2005 Ford 5.4-L V8 port fuel injected engine.

Original languageEnglish (US)
Title of host publicationProceedings of the 2011 American Control Conference, ACC 2011
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages414-419
Number of pages6
ISBN (Print)9781457700804
DOIs
StatePublished - 2011

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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