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Noise-vibration-harshness-modeling and analysis of induction drives in E-mobility applications

  • Philipp Kotter
  • , Wolfgang Bischof
  • , Ralph Kennel
  • , Oliver Zirn
  • , Konrad Wegener
  • Robert Bosch GmbH
  • ETH Zürich

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

This work addresses an efficient and highly reliable Noise-Vibration-Harshness simulation and analysis framework for electrical induction drives in E-mobility applications. Based on a combined nonlinear analytic and Finite-Element modeling structure in spatial frequency space the entire operational Noise-Vibration-Harshness-simulation is embedded in one simulation environment and can be performed with high richness of detail in comparison to usual simulation approaches. By using modal and Fourier-based decompositions of physical quantities the operation point dependent behavior is described by order-reduced order models. This allows an effective connection to various E-drive and control topologies to simulate the Noise-Vibration-Harshness-behavior for arbitrary operation cycles efficiently. The modeling approach is applied to a squirrel-cage three-phase induction machine. Simulation results as acoustic run-up spectrograms are shown and operational deflections at critical speeds are visualized. Electromagnetic and structural mechanic individual noise contributions are extracted as well as correlations between physical domains are derived. The high reliability of the simulation results is proven by a good correlation to real world measurements.

Original languageEnglish
Title of host publication2017 IEEE International Electric Machines and Drives Conference, IEMDC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509042814
DOIs
StatePublished - 3 Aug 2017
Event2017 IEEE International Electric Machines and Drives Conference, IEMDC 2017 - Miami, United States
Duration: 21 May 201724 May 2017

Publication series

Name2017 IEEE International Electric Machines and Drives Conference, IEMDC 2017

Conference

Conference2017 IEEE International Electric Machines and Drives Conference, IEMDC 2017
Country/TerritoryUnited States
CityMiami
Period21/05/1724/05/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Fourier series
  • acoustic noise
  • induction motors
  • magnetic forces
  • magnetoacoustic effect
  • modeling

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