Designing optimal control maps for diesel engines for high efficiency and emission reduction

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Standard

Designing optimal control maps for diesel engines for high efficiency and emission reduction. / Nguyen Khac, Hoang; Zenger, Kai.

Proceedings of the 18th European Control Conference, ECC 2019. IEEE, 2019. s. 1957-1962 8795654.

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Harvard

Nguyen Khac, H & Zenger, K 2019, Designing optimal control maps for diesel engines for high efficiency and emission reduction. julkaisussa Proceedings of the 18th European Control Conference, ECC 2019., 8795654, IEEE, Sivut 1957-1962, European Control Conference, Naples, Italia, 25/06/2019. https://doi.org/10.23919/ECC.2019.8795654

APA

Nguyen Khac, H., & Zenger, K. (2019). Designing optimal control maps for diesel engines for high efficiency and emission reduction. teoksessa Proceedings of the 18th European Control Conference, ECC 2019 (Sivut 1957-1962). [8795654] IEEE. https://doi.org/10.23919/ECC.2019.8795654

Vancouver

Nguyen Khac H, Zenger K. Designing optimal control maps for diesel engines for high efficiency and emission reduction. julkaisussa Proceedings of the 18th European Control Conference, ECC 2019. IEEE. 2019. s. 1957-1962. 8795654 https://doi.org/10.23919/ECC.2019.8795654

Author

Nguyen Khac, Hoang ; Zenger, Kai. / Designing optimal control maps for diesel engines for high efficiency and emission reduction. Proceedings of the 18th European Control Conference, ECC 2019. IEEE, 2019. Sivut 1957-1962

Bibtex - Lataa

@inproceedings{a56f4c31007344ca897fe79a9efea008,
title = "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 reports on engine calibration have taken the Design of Experiments (DoE) approach, but their implementations in choosing experimental design types and optimization processes are different compared to this paper. The unique aspect of this research lies in the significant properties of the Off-line parameterization tool. First, this tool is flexible: it is able to work with multiple inputs and multiple outputs. Second, it can reduce the calibration time as the engine running time is kept as short as possible and all the data processing work is accomplished automatically.",
keywords = "Design of Experiment (DOE), Optimization algorithms, Engine Calibration",
author = "{Nguyen Khac}, Hoang and Kai Zenger",
note = "| openaire: EC/H2020/634135/EU//HERCULES-2",
year = "2019",
month = "6",
doi = "10.23919/ECC.2019.8795654",
language = "English",
pages = "1957--1962",
booktitle = "Proceedings of the 18th European Control Conference, ECC 2019",
publisher = "IEEE",
address = "United States",

}

RIS - Lataa

TY - GEN

T1 - Designing optimal control maps for diesel engines for high efficiency and emission reduction

AU - Nguyen Khac, Hoang

AU - Zenger, Kai

N1 - | openaire: EC/H2020/634135/EU//HERCULES-2

PY - 2019/6

Y1 - 2019/6

N2 - 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 reports on engine calibration have taken the Design of Experiments (DoE) approach, but their implementations in choosing experimental design types and optimization processes are different compared to this paper. The unique aspect of this research lies in the significant properties of the Off-line parameterization tool. First, this tool is flexible: it is able to work with multiple inputs and multiple outputs. Second, it can reduce the calibration time as the engine running time is kept as short as possible and all the data processing work is accomplished automatically.

AB - 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 reports on engine calibration have taken the Design of Experiments (DoE) approach, but their implementations in choosing experimental design types and optimization processes are different compared to this paper. The unique aspect of this research lies in the significant properties of the Off-line parameterization tool. First, this tool is flexible: it is able to work with multiple inputs and multiple outputs. Second, it can reduce the calibration time as the engine running time is kept as short as possible and all the data processing work is accomplished automatically.

KW - Design of Experiment (DOE)

KW - Optimization algorithms

KW - Engine Calibration

U2 - 10.23919/ECC.2019.8795654

DO - 10.23919/ECC.2019.8795654

M3 - Conference contribution

SP - 1957

EP - 1962

BT - Proceedings of the 18th European Control Conference, ECC 2019

PB - IEEE

ER -

ID: 36536832