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Study on Modeling Method for Common Rail Diesel Engine Calibration and Optimization
Technical Paper
2004-01-0426
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
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.
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Qiang, 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.Also In
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