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BorgWarner

Reliably delivering what’s needed today There are few challenges as important today as creating solutions that support a cleaner, more energy-efficient world. This requires a commitment to constantly improve the transportation of people and things. We, at BorgWarner, made that commitment decades ago and have since been creating technologies to improve efficiency, emissions and performance in all types of vehicles

10/12/2024
Internship
Student (m/f/d) for internship and/or thesis on eMotor simulation prediction using AI and machine learning
BorgWarner 67292 Kirchheimbolanden, Germany
Topic: The aim of this master thesis is to investigate how modern machine learning and artificial intelligence technologies can be used to improve the efficiency and speed of electric motor analysis while ensuring technological progress. The focus is on identifying challenges and developing solutions, which are illustrated using a case study for a specific type of electric motor.   Your main responsibilities: Literature analysis on electromagnetism, electric drives, heat transfer, optimization and AI (artificial intelligence). Development of simulation models to calculate the performance and thermal behavior of the engine. Definition and implementation of the machine learning procedure. Verification of AI-generated results through standard optimizations. Your profile: Studies in engineering (mechanical engineering or electrical engineering) Experience in simulation and calculation, ideally in the field of electrical machines, CFD...