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
CountryUnited States
CityFort Lauderdale, FL
Period10/17/1210/19/12

ASJC Scopus subject areas

  • Control and Systems Engineering

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