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On-Board Fuel Property Classifier for Fuel Property Adaptive Engine Control System
Technical Paper
2006-01-0054
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
This paper explores the possibility of on-board fuel classification for fuel property adaptive compression-ignition engine control system. The fuel classifier is designed to on-board classify the fuel that a diesel engine is running, including alternative and renewable fuels such as bio-diesel. Based on this classification, the key fuel properties are provided to the engine control system for optimal control of in-cylinder combustion and exhaust treatment system management with respect to the fuel. The fuel classifier employs engine input-output response characteristics measured from standard engine sensors to classify the fuel. For proof-of-concept purposes, engine input-output responses were measured for three different fuels at three different engine operating conditions. Two neural-network-based fuel classifiers were developed for different classification scenarios. Of the three engine operating conditions tested, two conditions were selected for the fuel classifier to be active. However, the most suitable operating condition for active classification was found to be a light load condition. The results show that the classifier can clearly classify the three different test fuels at the predetermined engine operating conditions.
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Wang, J., Neely, G., and Ryan, T., "On-Board Fuel Property Classifier for Fuel Property Adaptive Engine Control System," SAE Technical Paper 2006-01-0054, 2006, https://doi.org/10.4271/2006-01-0054.Also In
New Diesel Engines and Components and CI Engine Performance for Use with Alternative Fuels
Number: SP-2014; Published: 2006-04-03
Number: SP-2014; Published: 2006-04-03
References
- Dickson, C.L. “Diesel Fuel Oils, 2003” Northrop Grumman Mission Systems January 2004
- Ogawa, T. Okada, M. “Influence of Properties and Composition of Diesel Fuels on Particulate Emissions, Part 1: The Step-I Fuels of the Diesel WG of JCAP” R&D Review of Toyota Central R&D Labs 38 4 2003
- Ogawa, T. Okada, M. “Influence of Properties and Composition of Diesel Fuels on Particulate Emissions, Part 2: Fuels for Single-Cylinder Engine Test in the Combustion Analysis for the WG of JCAP” R&D Review of Toyota Central R&D Labs 38 4 2003
- Yamane, K. Ueta, A. Shimamoto, Y. “Influence of Physical and Chemical Properties of Biodiesel Fuel on Injection, Combustion and Exhaust Emission Characteristics in a DI-CI Engine” The Fifth International Symposium on Diagnostics and Modeling of Combustion in Internal Combustion Engines July 2001 Nagoya
- Bek, B.H. Sorenson, S.C. “A Mixing Based Model for Di-methyl Ether Combustion in Diesel Engines” Journal of Engineering for Gas Turbines and Power 123 3 627 632 July 2001
- Mitchell, K. “Effects of Fuel Properties and Source on Emissions from Five Different Heavy Duty Diesel Engines” SAE 2000-01-2890 2000
- Sutton, D.L. “Investigation into Diesel Operation with Changing Fuel Property” SAE Paper 860222 1986
- Haykin, S. “Neural Networks: A Comprehensive Foundation” Prentice Hall 1999