Master's thesis: Dynamic emission modeling from delayed and non-dynamic measurements

Job-ID: T-TD Powertrain Systems-22165

Master's thesis: Dynamic emission modeling from delayed and non-dynamic measurements

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Students  —  Thesis

Berlin

This challenge awaits you:

The journey to emission-free mobility is far from over. Brake and tire abrasion present us with new challenges. But where there are problems, innovative solutions are not far away: this work opens the door to a revolutionary method of emissions assessment. Using state-of-the-art machine learning and clever modeling of dynamic emissions from static measurement data, we skillfully navigate through the complexity of environmental pollution. Dive into the future of emission control - efficient, precise and groundbreaking.

The topic of this thesis is the modeling of dynamic emissions from non-dynamic emission measurements using machine learning through the interaction of different physical constraints in the optimization process.

Your Tasks:

• You will familiarize yourself with the basics of the theory of non-exhaust emissions (brakes and tires).
• You evaluate measurement data with Python.
• You apply machine learning with Python.
• You visualize model results in Python.
• You adapt standard machine learning methods by using constraints in the structure and customized loss functions to dispense with dynamic targets.
• Validate the results.

Necessary Skills:

• Ongoing studies in a technical field such as automotive engineering, physics or a similar course of study
• Interest in physics, thermodynamics, computer science
• Interest in the field described
• German language skills of at least C1 and/or English language skills of at least C1 level

Desired knowledge:

• Ability to work independently and think analytically

Das spricht für uns:

Als Student:in arbeitest du bei IAV nicht irgendwo, sondern mittendrin. In echten Projekten. An spannenden Zukunftsaufgaben. Voll integriert und im Schulterschluss mit IAV-Expert:innen. Viel Verantwortung und gleichzeitig viel Freiraum, um Uni und Arbeit zusammen zu bringen: So entstehen beste Perspektiven für deine berufliche Entwicklung. Bei attraktiver Vergütung nach unserem Haustarifvertrag.

Uns sind Vielfalt und Chancengleichheit wichtig. Für uns zählt der Mensch mit seiner Persönlichkeit und seinen Stärken.