# ENGINE CALIBRATION PROCESS OPTIMIZATION

### Erica Klampfl, Jenny Lee, David Dronzkowski, Kacie Theisen

#### 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 and 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%.

#### References

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#### Paper Citation

#### in Harvard Style

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 - Volume 1: ICORES,* ISBN 978-989-8425-97-3, pages 335-341. DOI: 10.5220/0003695603350341

#### in Bibtex Style

@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 - Volume 1: ICORES,},

year={2012},

pages={335-341},

publisher={SciTePress},

organization={INSTICC},

doi={10.5220/0003695603350341},

isbn={978-989-8425-97-3},

}

#### in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,

TI - ENGINE CALIBRATION PROCESS OPTIMIZATION

SN - 978-989-8425-97-3

AU - Klampfl E.

AU - Lee J.

AU - Dronzkowski D.

AU - Theisen K.

PY - 2012

SP - 335

EP - 341

DO - 10.5220/0003695603350341