NDLI: Optimization algorithm for diesel engine operating parameters based on a vehicle driving test cycle

Content Provider	Springer Nature Link
Author	Jung, Daebong Bang, Junghwan Choi, Seungmok Choi, Hoimyung Min, Kyoungdoug
Copyright Year	2013
Abstract	For compliance with stringent exhaust emissions regulations, diesel engines have been equipped with electronically controlled components. Hence, there are various engine operating parameters that must be optimized, however optimization of these parameters is complicated. The objective of this research is to provide a new optimization algorithm for the diesel engine operating parameters with consideration of the vehicle control strategy. To optimize engine operating parameters, the concept of the vehicle-based optimization has been introduced. The engine response functions for performance and emissions were determined using the design of experiments, the response surface method and regression method with various engine operating parameters. Then, the engine operating points of the vehicle during the test cycles were analyzed, and the fuel consumption and emissions were estimated. Consequently, the engine operating parameters at each operating point were optimized to reduce the fuel consumption and the emissions such as NOx and PM by using the gradient method. Moreover, a new optimization algorithm enables to optimize engine operating parameters in various test cycle without additional engine experiment.
Starting Page	2171
Ending Page	2179
Page Count	9
File Format	PDF
ISSN	1738494X
Journal	Journal of Mechanical Science and Technology
Volume Number	27
Issue Number	7
e-ISSN	19763824
Language	English
Publisher	Springer Netherlands
Publisher Date	2013-07-17
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Diesel engine Optimization Response function Central composite design (CCD) Polynomial regression Vehicle simulation Mechanical Engineering Vibration, Dynamical Systems, Control Industrial and Production Engineering
Content Type	Text
Resource Type	Article
Subject	Mechanics of Materials Mechanical Engineering

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