2019 18th European Control Conference (ECC) 2019
DOI: 10.23919/ecc.2019.8795654
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Designing optimal control maps for diesel engines for high efficiency and emission reduction

Abstract: The objective of this paper is to design static optimal control maps of diesel engines to achieve high efficiency and emission reduction. The calibration tool applied to create the control maps, named "Off-line parameterization tool", was designed based on the Design of Experiments method. The optimization goal is to minimize the Brake Specific Fuel Consumption (BSFC) by the engine's input parameters under emission constraints. The tool was designed to work both fully automatically and semi-automatically. Many… Show more

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Cited by 2 publications
(4 citation statements)
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“…According to the proposed method in [13], by running the Design of Experiments (DoE) method [19] on selected operating points (speed-load), the BSFC and the NO x emissions at each point are presented as the functions of fuel injection timing (SoI), common rail pressure (FIP) and charged air pressure (P charge ). The two functions are expressed in Equations ( 3) and (4).…”
Section: Optimization Methodologymentioning
confidence: 99%
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“…According to the proposed method in [13], by running the Design of Experiments (DoE) method [19] on selected operating points (speed-load), the BSFC and the NO x emissions at each point are presented as the functions of fuel injection timing (SoI), common rail pressure (FIP) and charged air pressure (P charge ). The two functions are expressed in Equations ( 3) and (4).…”
Section: Optimization Methodologymentioning
confidence: 99%
“…This nonlinear constrained minimization problem is solved by using the Sequential Quadratic Programming method [20]. However, the constraint limit α has not been efficiently investigated in [13] as the IMO emission regulations have not been considered. Therefore, the following algorithm introduces a method to fully investigate all possibilities of α in order to achieve the optimal result.…”
Section: Optimization Methodologymentioning
confidence: 99%
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