MSc Thesis Work for: Understanding Tonal Noise in Permanent Magnet Machines

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Denna Position Rapporterar Till

R&D Team Lead

Details

Period: Start Jan-June 2027 30 ECTS per student Number of students: 1 Location: ABB Corporate Research in Västerås, Sweden

You will be part of Materials Technology & Electromagnetics team at ABB Corporate Research in Västerås, Sweden. At Corporate Research we lead the innovation within ABB and our task is to ensure ABB's technology competitiveness now and in the future. We work in close collaboration with other research centers, our business areas: Motion, Automation and Electrification, as well academic and industrial partners. In our creative and highly skilled team we develop, design, build and test new concepts and prototypes of physical and digital powertrains or electrical devices.

The increasing use of electric machines has made tonal noise an important e‑NVH challenge. In Interior Permanent Magnet (IPM) machines, tonal noise is mainly driven by electromagnetic force harmonics, structural resonances, and their interaction with the acoustic response.

This thesis aims to improve the understanding of tonal noise generation in IPM machines using simulation and measurement data. The work will focus on identifying the key e-NVH features related to tonal noise.

Your Role And Responsibilities

Conduct a literature review of existing methods for e‑NVH and tonal-noise analysis.Work with simulation and measurement e-NVH data.Apply signal-processing techniques to identify relevant noise features.Explore data-analysis and machine-learning methods for tonal-noise predictionIdentify the key factors governing tonal-noise generation and assess their relative importance.

Master of Science student in Mechanical Engineering, Engineering Physics, Computer Science, or a related field.Good understanding of signal processing concepts, such as FFT and frequency-domain analysis.Programming and data-analysis skills; prior experience with machine learning is an advantage.Basic knowledge of electric machines is beneficial.Willingness to learn how to use Multiphysics simulation tools.

More About Us

Recruiting Manager David Lindell , 46 72 461 35 03, will answer your questions. Main contacts:

Binaya Baidar, [email protected];

Jiaojiao Song, [email protected]

Positions are filled continuously. Please apply with your CV, academic transcripts, and a cover letter in English.

We look forward to receiving your application!

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