Job-ID: T-TD Powertrain Systems -22354

Thesis - On-Board Monitoring with Machine Learning to detect High Emitters

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Students   —  Thesis; Limited 

Berlin

This challenge awaits you:

The Euro 7 regulation stipulates the monitoring of vehicle tailpipe emissions in order to detect high pollutant emissions in applications with combustion engines. The on-board diagnostic system, which is already state of the art in production vehicles, is primarily designed to detect individual faults in the vehicle and provide fault codes. Combinations of deterioration mechanisms such as drift or ageing of various components may not be detected by the OBD system, but can cause an increase in tailpipe emissions.  

The aim of this thesis is to develop a monitoring algorithm that uses machine learning to detect combined deviations so that additional information is available and the affected components can be replaced.

Your Tasks:

• ​​​​​​​Familiarization with the basics of combustion and exhaust gas theory of combustion engines 
• Analysis and evaluation of measurement or simulation data with Python
• Machine learning with Python (e.g. autoencoder, PCA) to identify system deviations
• Visualization and validation of the results of machine learning algorithms with Python  
• Optimization of the algorithm with a focus on the trade-off between complexity and accuracy

Necessary Skills:

• Current studies in a technical direction such as automotive engineering, physics 

• Interest in physics, thermodynamics, computer science 

• Experiences in using Python

• Interest in the described field 

• Independent working style and analytical thinking skills 

• Good language skills in English (thesis will be in English) 

Remuneration is based on our collective wage and salary agreement. The current monthly salary for this position is EUR 979. 

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.