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Self Tuning Genetic Algorithm to Achieve Maximum Thermal Efficiency by Monitoring Combustion Characteristics with Vibration/Acoustic Sensors
Technical Paper
2017-01-2283
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Electronic Fuel Injection Systems have revolutionised Fuel Delivery and Ignition timing in the past two decades and have reduced the Fuel Consumption and Exhaust Emissions, ultimately enhancing the Economy and Ecological awareness of the engines. But the ignition/injection timing that commands the combustion is mapped to a fixed predefined table which is best suited during the stock test conditions. However continuous real time adjustments by monitoring the combustion characteristics prove to be highly efficient and be immune to varying fuel quality, lack of transient performance and wear related compression losses.
For developing countries, Automotive Manufacturers have been Tuning the Ignition/Injection timing Map assuming the worst possible fuel quality. Conventional knock control system focus on engine protection only and doesn't contribute much in improving thermal efficiency. Predefined Ignition tables fail to produce good thermal efficiency during hard acceleration due to their inability to advance for the acceleration. IC Engines wear over time leading to compression losses and a reduced cranking pressure. This reduction in the effective compression ratio raises the need for adjusting the Ignition/Injection Timing.
A closed loop ignition/injection timing by monitoring combustion characteristics can compensate for such issues and maintain a consistent thermal efficiency in all operating conditions. The algorithm implements genetic mutation approach to create a correction factor for ignition timing by analysing signals from a knock sensor or an acoustic sensor. It also takes into account, the Acceleration Gradient, MAP, RPM and Air-Fuel Ratio in computing the correction factor. The computation is also optimised to execute with in an engine cycle even at high RPM.
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Kalaivanan, A. and Sakthivel, G., "Self Tuning Genetic Algorithm to Achieve Maximum Thermal Efficiency by Monitoring Combustion Characteristics with Vibration/Acoustic Sensors," SAE Technical Paper 2017-01-2283, 2017, https://doi.org/10.4271/2017-01-2283.Data Sets - Support Documents
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References
- Ponti , F. , Ravaglioli , V. , Stola , F. , and De Cesare , M. Engine Acoustic Emission Used as a Control Input: Applications to Diesel Engines SAE Technical Paper 2016-01-0613 2016 10.4271/2016-01-0613
- Naoe , G. Research on Combustion Noise for Controlled Auto Ignition Engine Fueled with Natural Gas Effect of Stroke Bore Ratio and Ignition Timing SAE Technical Paper 2016-32-0044 2016 10.4271/2016-32-0044
- James C. , Jones Peyton , Frey Jesse Closed Loop Knock Intensity Characteristics of a Classical Knock Control System ELSEVIER: FAC-PapersOnLine 2015
- Torii , K. Method Using Multiple Regression Analysis to Separate Engine Radiation Noise into the Contributions of Combustion Noise and Mechanical Noise in the Time Domain SAE Int. J. Engines 7 3 1502 1513 2014 10.4271/2014-01-1678
- Jung , I. , Jin , J. , So , H. , Nam , C. et al. An Advanced Method for Developing Combustion Noise through the Analysis of Diesel Combustion SAE Int. J. Engines 6 2 1379 1385 2013 10.4271/2013-01-1901
- Carlucci A.P. , Laforgia D. , Motz S. , Saracino R. , Wenzel S.P. Advanced closed loop combustion control of a LTC diesel engine based on in-cylinder pressure signals ELSEVIER: Energy Conversion and Management 2013
- Badawy T. , Shrestha A. , Henein N. Detection of Combustion Resonance Using an Ion Current Sensor in Diesel Engines American Soceity of Mechanical Engineers: Journal of Engineering for Gas Turbines and Power 134 5 2012
- Tran , T. , Enomoto , H. , Nishioka , K. , and Shimizu , K. Feed-Back Control of Ignition Timing Using Peak Cylinder Pressure Angle with Rough Timing Table SAE Technical Paper 2011-32-0578 2011
- Moran , Michael J. , and Shapiro Howard N. Fundamentals of Engineering Thermodynamics 6th Hoboken, N.J. : Chichester Wiley ; John Wiley 2008