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

doi:10.1115/DSCC2012-MOVIC2012-8839

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 Institute

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	ASME 2012 5th Annual Dynamic Systems and Control Conference Joint with the JSME 2012 11th Motion and Vibration Conference, DSCC 2012-MOVIC 2012
Pages	689-695
Number of pages	7
DOIs	https://doi.org/10.1115/DSCC2012-MOVIC2012-8839
State	Published - 2012
Event	ASME 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 2012 → Oct 19 2012

Publication series

Name	ASME 2012 5th Annual Dynamic Systems and Control Conference Joint with the JSME 2012 11th Motion and Vibration Conference, DSCC 2012-MOVIC 2012
Volume	1

Other

Other	ASME 2012 5th Annual Dynamic Systems and Control Conference Joint with the JSME 2012 11th Motion and Vibration Conference, DSCC 2012-MOVIC 2012
Country	United States
City	Fort Lauderdale, FL
Period	10/17/12 → 10/19/12

ASJC Scopus subject areas

Control and Systems Engineering

Access to Document

10.1115/DSCC2012-MOVIC2012-8839

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Mirheidari, S., Franchek, M. A., Grigoriadis, K. M., Mohammadpour, J., Wang, Y. Y., & Haskara, I. (2012). Real-time and robust estimation of biodiesel blends using crankshaft position sensor: Experimental validation. In ASME 2012 5th Annual Dynamic Systems and Control Conference Joint with the JSME 2012 11th Motion and Vibration Conference, DSCC 2012-MOVIC 2012 (pp. 689-695). (ASME 2012 5th Annual Dynamic Systems and Control Conference Joint with the JSME 2012 11th Motion and Vibration Conference, DSCC 2012-MOVIC 2012; Vol. 1). https://doi.org/10.1115/DSCC2012-MOVIC2012-8839

Real-time and robust estimation of biodiesel blends using crankshaft position sensor : Experimental validation. / Mirheidari, S.; Franchek, M. A.; Grigoriadis, K. M.; Mohammadpour, J.; Wang, Y. Y.; Haskara, I.

ASME 2012 5th Annual Dynamic Systems and Control Conference Joint with the JSME 2012 11th Motion and Vibration Conference, DSCC 2012-MOVIC 2012. 2012. p. 689-695 (ASME 2012 5th Annual Dynamic Systems and Control Conference Joint with the JSME 2012 11th Motion and Vibration Conference, DSCC 2012-MOVIC 2012; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Mirheidari, S, Franchek, MA, Grigoriadis, KM, Mohammadpour, J, Wang, YY & Haskara, I 2012, Real-time and robust estimation of biodiesel blends using crankshaft position sensor: Experimental validation. in ASME 2012 5th Annual Dynamic Systems and Control Conference Joint with the JSME 2012 11th Motion and Vibration Conference, DSCC 2012-MOVIC 2012. ASME 2012 5th Annual Dynamic Systems and Control Conference Joint with the JSME 2012 11th Motion and Vibration Conference, DSCC 2012-MOVIC 2012, vol. 1, pp. 689-695, ASME 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, 10/17/12. https://doi.org/10.1115/DSCC2012-MOVIC2012-8839

Mirheidari S, Franchek MA, Grigoriadis KM, Mohammadpour J, Wang YY, Haskara I. Real-time and robust estimation of biodiesel blends using crankshaft position sensor: Experimental validation. In ASME 2012 5th Annual Dynamic Systems and Control Conference Joint with the JSME 2012 11th Motion and Vibration Conference, DSCC 2012-MOVIC 2012. 2012. p. 689-695. (ASME 2012 5th Annual Dynamic Systems and Control Conference Joint with the JSME 2012 11th Motion and Vibration Conference, DSCC 2012-MOVIC 2012). https://doi.org/10.1115/DSCC2012-MOVIC2012-8839

Mirheidari, S. ; Franchek, M. A. ; Grigoriadis, K. M. ; Mohammadpour, J. ; Wang, Y. Y. ; Haskara, I. / Real-time and robust estimation of biodiesel blends using crankshaft position sensor : Experimental validation. ASME 2012 5th Annual Dynamic Systems and Control Conference Joint with the JSME 2012 11th Motion and Vibration Conference, DSCC 2012-MOVIC 2012. 2012. pp. 689-695 (ASME 2012 5th Annual Dynamic Systems and Control Conference Joint with the JSME 2012 11th Motion and Vibration Conference, DSCC 2012-MOVIC 2012).

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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.",

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AB - 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.

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