loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Erica Klampfl ; Jenny Lee ; David Dronzkowski and Kacie Theisen

Affiliation: Ford Research & Advanced Engineering, United States

Keyword(s): Set-covering, Binary integer programming, Engine calibration.

Related Ontology Subjects/Areas/Topics: Applications ; Decision Support Systems ; Linear Programming ; Mathematical Modeling ; Methodologies and Technologies ; Operational Research ; OR in Transportation ; Pattern Recognition ; Software Engineering

Abstract: Before an engine can be scheduled in the Product Development cycle for inclusion in a vehicle, it must be calibrated in such a way that it satisfies a variety of regulatory tests over a range of conditions. The current engine calibration process involves conducting a design of experiments at a representative number of steady state points in order to satisfy all required regulatory tests: test engineers use a standard 16×16 grid with standard grid spacing and then conduct a design of experiments on a subset of those points - about 120 of them. This work explores how to reduce the engine calibration process time by finding the best 16×16 grid choice (i.e. the best spacing on both the engine speed and torque axes) and the minimum number of points on the grid to test in order to satisfy regulatory constraints around NOX , particulate matter, noise, and fuel consumption. Our proposed method models the problem as a Binary Integer Program that simultaneously selects the best grid spacing an d optimized number of points to test, while guaranteeing that all specified constraints hold. We present an example that demonstrates how we can reduce the number of necessary test points by approximately 56%. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.116.42.208

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Klampfl, E.; Lee, J.; Dronzkowski, D. and Theisen, K. (2012). ENGINE CALIBRATION PROCESS OPTIMIZATION. In Proceedings of the 1st International Conference on Operations Research and Enterprise Systems - ICORES; ISBN 978-989-8425-97-3; ISSN 2184-4372, SciTePress, pages 335-341. DOI: 10.5220/0003695603350341

@conference{icores12,
author={Erica Klampfl. and Jenny Lee. and David Dronzkowski. and Kacie Theisen.},
title={ENGINE CALIBRATION PROCESS OPTIMIZATION},
booktitle={Proceedings of the 1st International Conference on Operations Research and Enterprise Systems - ICORES},
year={2012},
pages={335-341},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003695603350341},
isbn={978-989-8425-97-3},
issn={2184-4372},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Operations Research and Enterprise Systems - ICORES
TI - ENGINE CALIBRATION PROCESS OPTIMIZATION
SN - 978-989-8425-97-3
IS - 2184-4372
AU - Klampfl, E.
AU - Lee, J.
AU - Dronzkowski, D.
AU - Theisen, K.
PY - 2012
SP - 335
EP - 341
DO - 10.5220/0003695603350341
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic