Summary

For future purposes the space-filling distribution will be used, since it is a more comparable type of distribution that can be assumed for engine calibration purposes when DoE test plans are applied.

Furthermore it is assumed that the measurement data is of such good quality that the noise is not significant and will not influence the outcome of the calculated position of the boundary. Though the original convex hull method shows the same quality of results as the adjusted method in both two- and four-dimensional cases and is faster in training the boundary, it takes so much longer in assessing new points, that the latter method will be used for the future calculations.

CH PEV SVM SVM−LOO CH PEV SVM SVM−LOO 0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2

Number of training points (incr. with arrow), method and boundary (convex, non−convex)

Calculation time [s]

Figure D.9.: Time to test new points with a 2D randomly generated separable training data set

CH PEV SVM SVM−LOO CH PEV SVM SVM−LOO

0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2

Number of training points (incr. with arrow), method and boundary (convex, non−convex)

Calculation time [s]

D.4. Summary

CH PEV SVM SVM−LOO CH PEV SVM SVM−LOO

0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2

Number of training points (incr. with arrow), method and boundary (convex, non−convex)

Calculation time [s]

Figure D.11.: Time to test new points with a 2D separable training data set with the original convhull

CH PEV SVM SVM−LOO CH PEV SVM SVM−LOO

0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5

Number of training points (incr. with arrow), method and boundary (convex, non−convex)

Calculation time [s]

Figure D.12.: Time to test new points with a 4D separable training data set with the original convhull

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List of publications

2012

Conference: MathWorks Automotive Conference 2012 in Stuttgart, Germany Paper title: AMG Automation Tool for engine calibration

Authors: Hasan Uzun, Nataša Kieft, Christian Manz, Steffen Waldmann

Conference: SDPS 2012 - The 17th International Conference on Transformative Science, Engi- neering, and Business Innovation in Berlin, Germany

Paper title: Application of Design Space Exploration Tools for Engine Calibration Authors: Nataša Kieft, Geritt Kampmann, Oliver Nelles

Conference: World Congress on Engineering and Computer Science 2012 in San Francisco, USA Paper title: Support Vector Machines for Design Space Exploration

Authors: Geritt Kampmann, Nataša Kieft, Oliver Nelles

2014

Conference: 6. Tagung Simulation und Test für die Automobilelektronik in Berlin, Germany Paper title: Evaluation of Support Vector Machines as a Design Space Description Method in automotive applications

Authors: Nataša Kieft, René Linssen, Thomas Bäck

Conference: 3rd Conference on Design of Experiments (DoE) in Engine Development in Ply- mouth(MI), USA

Paper title: Evaluation of support vector machines as a design space description method for low-dimensional data sets

Nataša Kieft was born on November 27, 1981 in Amsterdam, the Netherlands. She finished her pre-university education (VWO) in 2000 while attending the secondary school ‘Helen Parkhurst’ in Almere. Motivated by her inter- est in technology, cars and planes, she deci- ded to study Aerospace Engineering at Delft University of Technology. She undertook her

internship with KLM Royal Dutch Airlines in the purchasing department in Amstelveen. The assi- gnment, defined directly by Peter Hartman who at that time held the position of COO, included a research on how future developments in propulsion technology could benefit KLM in terms of fuel consumption and emissions and how this could support KLM’s decision on finding the best successors for the regional fleet.

After the internship Nataša decided she wanted to do her Master thesis in the automotive in- dustry, to be able to compare the difference between the industries. She went to Porsche in Weissach, Germany, where she looked at the problem of reducing the brake temperatures from an aerodynamics point of view, for the brake system of a race car for long-distance races. With the Master thesis she completed her studies in April 2007.

In order to be able to complete the UNITECH Management Programme, an extra curricular programme for talented engineering students focusing on soft skills and international business, she completed a voluntary internship after finishing her studies. She got a position with Shell in Chester, the United Kingdom. Here she did research on the effect of viscosity on engine perfor- mance for V-Power Diesel fuels for passenger cars.

In April 2008 Nataša joined the Daimler trainee programme ‘CAReer’ in Stuttgart, Germany. She was responsible for the mechanical testing of several components in the development department for medium duty truck engines. During the trainee programme one of her projects was with Mercedes-AMG, where she contributed to the optimisation of undesired noise reduction of the new SLS powertrain project. In the beginning of 2009 she went to São Paulo, Brazil, to work on duration testing of the medium duty truck engines, but now for the Brazilian market.

Nataša worked another one-and-a-half year for Daimler Trucks in Stuttgart, until she decided it was time for something new. Motivated by her former manager at Mercedes-AMG, she decided to take up the challenge of starting a PhD research in the field of engine calibration with the focus on extending the possibilities and application of test methodologies.