Radiated EMI Estimation from DC-DC Converters with Attached Cables Based on Terminal Equivalent Circuit Modeling
Abstract
An equivalent two terminal model based on the Thevenin equivalents describes the common mode (CM) currents on the input and output side of two widely used types of dc-to-dc power converters - buck and boost. Thus, it describes a nonlinear circuit by a linear equivalent circuit. The maximized spectrum of the CM currents is extracted for converters with stochastic signals using a novel characterization procedure. The extracted Thevenin model is used in co-simulation combined with a full-wave electromagnetic solver to predict the radiated emissions from the system consisting of the shielded DC-DC converters with attached cables and a DC brushless motor as load. The results using the terminal model agree well with the measurements providing that the actual CM loads are within the range of CM loads used while obtaining the Thevenin equivalent circuit.
Recommended Citation
S. R. Shinde et al., "Radiated EMI Estimation from DC-DC Converters with Attached Cables Based on Terminal Equivalent Circuit Modeling," IEEE Transactions on Electromagnetic Compatibility, vol. 60, no. 6, pp. 1769 - 1776, Institute of Electrical and Electronics Engineers (IEEE), Dec 2018.
The definitive version is available at https://doi.org/10.1109/TEMC.2017.2782659
Department(s)
Electrical and Computer Engineering
Research Center/Lab(s)
Electromagnetic Compatibility (EMC) Laboratory
Keywords and Phrases
Characterization loads; Co-simulation; Computational modeling; dc-dc converter; Electromagnetic interference; Equivalent circuits; Integrated circuit modeling; Load modeling; Predictive models; radiated emissions; Semiconductor device modeling; stochastic behavior; terminal model
International Standard Serial Number (ISSN)
0018-9375
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2018 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
18 Dec 2018
Comments
This work was supported in part by the National Science Foundation under Grant 1440110 and in part by Panasonic Corp., Japan.