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A Study on the Optimization of Multiple Injection Strategy for a Diesel Engine using Grey Relational Analysis and Linear Regression Analysis
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  • Journal title : Journal of ILASS-Korea
  • Volume 20, Issue 4,  2015, pp.247-253
  • Publisher : Institute for Liquid Atomization and Spray Systems-Korea
  • DOI : 10.15435/JILASSKR.2015.20.4.247
 Title & Authors
A Study on the Optimization of Multiple Injection Strategy for a Diesel Engine using Grey Relational Analysis and Linear Regression Analysis
Kim, Sookyum; Woo, Seungchul; Kim, Woong Il; Park, Sangki; Lee, Kihyung;
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 Abstract
Recently, the engine calibration technique has been much more complicated than that of the past engine case in order to satisfy the strict emission regulations. The current calibration method for the diesel engine which has an increasing market is both costly and time-consuming. New engine calibration method is required to develop for high-quality diesel engines with low cost and release it at the appropriate time. This study provides the optimal calibrating technique for complex engine systems using statistical modeling and numerical optimization. Firstly, it design a test plan based on Design of Experiments, a V-optimality methodology which is suitable looking for set-points, and determine the shape of test engine response. Secondly, it uses functions to make linear regression model for data analysis and optimization to fit the models of engines behavior. Finally, it generates the optimal calibrations obtained directly from empirical engine models using Grey Relational Analysis and compares the calibrations with data. This method can develop a process for systematically identifying the optimal balance of engine emissions.
 Keywords
Multiple Injection;Calibration;Design of Experiment;Exhaust Emission;
 Language
Korean
 Cited by
 References
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