Real-time and robust estimation of biodiesel blends using crankshaft position sensor: Experimental validation

S. Mirheidari, M. A. Franchek, K. M. Grigoriadis, J. Mohammadpour, Y. Y. Wang, I. Haskara

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

    Abstract

    Biodiesel is a renewable alternative fuel that produces lower exhaust emissions with the exception of nitrogen oxides (NOx) when compared to conventional diesel fuel. Fuel blend information is useful during engine operation for optimizing emissions and performance. Therefore, online estimation of biofuel content is a critical step in allowing diesel engines to maintain performance while simultaneously meeting emission requirements when operating on biodiesel blends. Presented in this paper is a model-based biodiesel blend estimation strategies using crankshaft torsionals. A sensitivity analysis investigation is conducted for the method to quantify robustness of the proposed fuel blend estimation methods.

    Original languageEnglish (US)
    Title of host publicationASME 2012 5th Annual Dynamic Systems and Control Conference Joint with the JSME 2012 11th Motion and Vibration Conference, DSCC 2012-MOVIC 2012
    Pages689-695
    Number of pages7
    DOIs
    StatePublished - 2012
    EventASME 2012 5th Annual Dynamic Systems and Control Conference Joint with the JSME 2012 11th Motion and Vibration Conference, DSCC 2012-MOVIC 2012 - Fort Lauderdale, FL, United States
    Duration: Oct 17 2012Oct 19 2012

    Publication series

    NameASME 2012 5th Annual Dynamic Systems and Control Conference Joint with the JSME 2012 11th Motion and Vibration Conference, DSCC 2012-MOVIC 2012
    Volume1

    Other

    OtherASME 2012 5th Annual Dynamic Systems and Control Conference Joint with the JSME 2012 11th Motion and Vibration Conference, DSCC 2012-MOVIC 2012
    Country/TerritoryUnited States
    CityFort Lauderdale, FL
    Period10/17/1210/19/12

    ASJC Scopus subject areas

    • Control and Systems Engineering

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