openHSU logo
  • English
  • Deutsch
  • Log In
  • Communities & Collections
  1. Home
  2. Helmut-Schmidt-University / University of the Federal Armed Forces Hamburg
  3. Publications
  4. 3 - Publication references (without full text)
  5. Simulation of Resonances in Power Electronic Circuits for EMC Prediction
 
Options
Show all metadata fields

Simulation of Resonances in Power Electronic Circuits for EMC Prediction

Publication date
2023
Document type
Conference paper
Author
Podendorf, Simon 
Rathjen, Kai-Uwe
Landskron, Norman
Brandt, Sönke 
Hoffmann, Klaus 
Dickmann, Stefan 
Organisational unit
Grundlagen der Elektrotechnik 
DOI
10.1109/EMCEurope57790.2023.10274363
URI
https://openhsu.ub.hsu-hh.de/handle/10.24405/15209
Scopus ID
2-s2.0-85174634991
ISBN
9798350324006
ISSN
2325-0364
Conference
2023 International Symposium on Electromagnetic Compatibility – EMC Europe, Krakow, Poland, 4-8 Sept. 2023
Series or journal
IEEE International Symposium on Electromagnetic Compatibility
Periodical volume
2023
Book title
2023 International Symposium on Electromagnetic Compatibility – EMC Europe
Peer-reviewed
✅
Part of the university bibliography
✅
  • Additional Information
Keyword
EMC
power electronics
resonance
simulation
SPICE
Abstract
The use of wide-bandgap semiconductors in modern power electronics creates new challenges in EMC. These result, among other things, from high frequencies and steep switching slopes. In addition, parasitic elements of semiconductors, passive components and the printed circuit board can cause resonances, which become noticeable in oscillations. In this work, a possibility is presented to simulate resonances in a power electronic circuit. The circuit used is a series-LC resonant converter with SiC-MOSFETs. An impedance model of the resonant load is generated with consideration of parasitic elements. The accurate simulation is validated by comparison with time domain measurements. EMC measurements of conducted and radiated emissions are done. It is shown that the resonances lead to emissions which can be predicted using the time domain simulation.
Version
Not applicable (or unknown)
Access right on openHSU
Metadata only access

  • Cookie settings
  • Privacy policy
  • Send Feedback
  • Imprint