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Engine Control for Multiple Combustion Optimization Devices
Published October 16, 2006 by Convergence Transportation Electronics Association in United States
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Event: Convergence 2006
A number of variables in a conventional automotive powertrain are scheduled on-line based on the current operating conditions with the goal to achieve the best fuel economy (FE), emissions, and performance. The functions are obtained off-line, i.e. after a mapping, data regression, and optimization process followed by in-vehicle calibration for fine-tuning the powertrain behavior. More complex engines, referred to as high degree of freedom (HDOF) engines, require a careful tradeoff between the mapping, optimization, and calibration time on one hand and the achieved accuracy on the other. Additionally, the powertrain control module (PCM) has limited computational resources. Thus, fully representing the more complex functions can be prohibitive. As a result, an HDOF powertrain in actual operation may not completely achieve the potential benefits the new technologies offer. In the case of optimum combustion phasing one can determine how successful a calibrated powertrain is by analyzing in-cylinder pressure or ionization signal. Moreover, when the required sensors become available in production vehicles, closing the control loop may provide additional accuracy and shift the complexity-accuracy tradeoff equation for HDOF engines.
CitationMagner, S., Cooper, S., and Jankovic, M., "Engine Control for Multiple Combustion Optimization Devices," SAE Technical Paper 2006-21-0003, 2006.
- Heywood J. B. Internal Combustion Engine Fundamentals McGraw-Hill New York 1988 375 375
- Zhu G. Daniels C. Winkleman J. “MBT Timing Detection and its Closed Loop Control Using In-Cylinder Pressure Signal” SAE- 2003-01-3266 Society of Automotive Engineers
- Jankovic M Magner S. “Controlling Complex Automotive Engine Configurations for Optimal Performance, Fuel Economy, and Emissions” Proceedings of the Global Powertrain Congress 2003 Ann Arbor, MI.
- Magner S. Jankovic M. Cooper S. “Methods to Reduce Air-charge Characterization Data for High Degree of Freedom Engines” SAE 2004-01-0903 Detroit, MI Society of Automotive Engineers
- Edwards S.P. et. al Statistics for Engine Optimization Professional Engineering Publishing, Ltd. London 1999
- Hellring M. Holmberg U. “An Ion Current Peak-Finding Algorithm for Pressure Peak Position Estimation” SAE- 2000-01-2829 Society of Automotive Engineers
- Eriksson L. Spark advance modeling and control Ph.D. Dissertation Linkoping University 1999
- Cook C. “Powertrain Electronics: a Systems Evolution” SAE 100 Future Look, Automotive Engineering International March 2005
- Peron L. “Limitations of Ionization Current Sensors and Comparison with Cylinder Pressure Sensors” SAE 2000-01-2830 Detroit, MI Society of Automotive Engineers
- DAIHATSU GROUP Environmental Report, Published November 29 2005 Daihatsu Motor Co., Environmental Affairs Department/Public affairs Department
- Malaczynski G. W. Baker M. E. “Real-Time Digital Signal Processing of Ionization Current for Engine Diagnostic and Control” SAE- 2003-01-1119
- Hellring M. et. al “Spark Advance Control Using the Ion Current and Neural Soft Sensors” SAE- 1999-01-1162
- Rask E. Sellnau M. “Simulation-based engine calibration: tools, techniques, and applications” SAE- 2004-01-1264