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Study on Modeling Method for Common Rail Diesel Engine Calibration and Optimization
ISSN: 0148-7191, e-ISSN: 2688-3627
Published March 08, 2004 by SAE International in United States
Annotation ability available
The large amount of controllable fuel injection parameters of Diesel engine equipped with high pressure common-rail fuel injection system makes the control of combustion more flexible, and also makes the workload of calibration and optimization much heavier. For higher efficiency, model-based approaches are presented and researched. This contribution presents a new method for modeling which is constituted by Neural Network and Adaptive Network-based Fussy Inference System (ANFIS). The experiment is carried out on a 6-cylinder common rail diesel engine. The analysis and experiment show that effective modeling can be achieved using this method.
CitationQiang, H., Fuyuan, Y., Ming, Z., and Minggao, O., "Study on Modeling Method for Common Rail Diesel Engine Calibration and Optimization," SAE Technical Paper 2004-01-0426, 2004, https://doi.org/10.4271/2004-01-0426.
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