Black-box modelling of electromagnetic compatibility in DC-DC converters for electric vehicles

Authors

  • Ali Ait Salih Laboratory of Networks, Computer Science, Telecommunication, Multimedia (RITM), CED Engineering Sciences, Higher School of Technology, Hassan II University, Casablanca, Morocco
  • Zakaria M'barki Higher School of Technology ESTC
  • Youssef Mejdoub Laboratory of Networks, Computer Science, Telecommunication, Multimedia (RITM), CED Engineering Sciences, Higher School of Technology, Hassan II University, Casablanca, Morocco
  • Kaoutar Senhaji Rhazi Laboratory of Networks, Computer Science, Telecommunication, Multimedia (RITM), CED Engineering Sciences, Higher School of Technology, Hassan II University, Casablanca, Morocco

DOI:

https://doi.org/10.21014/actaimeko.v14i2.2035

Keywords:

Black box, DC-DC converter, conducted EMI, LISN, EMC

Abstract

This paper aims to propose a generic black-box model for converters connected to an electric vehicle. The methodology for identifying the model parameters will be presented, as well as the validation of this model. In fact, the control of electromagnetic interference (EMI) in power converters for electric vehicles relies on several approaches, including soft switching and pseudo-random modulation, which aim to reduce voltage variations and spread EMI energy across a wide frequency band, respectively. However, filtering remains the most effective solution to mitigate common-mode and differential-mode noise while ensuring EMC compliance without compromising performance. Moreover, a black-box behavioural modelling approach in the frequency domain enables precise representation of EMI sources and the optimization of EMC filter design, focusing on common-mode and differential-mode impedances without requiring internal circuit details. Finally, a network-based modelling approach has been employed to define and compare theoretical impedances with experimental measurements, validating the EMC model by reconstructing the measured voltages and confirming its ability to accurately represent electromagnetic disturbances.

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Published

2025-06-10

Issue

Vol. 14 No. 2 (2025)

Section

Research Papers

License

Copyright (c) 2025 Ali Ait Salih, Zakaria M'barki, Youssef Mejdoub, Kaoutar Senhaji Rhazi

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