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Modeling of High-Voltage to Low-Voltage Crosstalk Coupling for Electric Vehicle Motor Drive Systems

  • Shuliang Wang*
  • , Yangjun Zheng
  • , Yaoheng Li
  • , Li Zhai
  • *Corresponding author for this work
  • China North Vehicle Research Institute
  • Beijing Institute of Technology

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

Abstract

High power density and miniaturization are the core development trends for future electric vehicle (EV) motor drive systems. As the spatial layout of motor control systems grows increasingly compact with reduced inter-component distances, electromagnetic interference (EMI) noise generated by the fast switching of power electronic devices (e.g., SiC) can induce parasitic and proximity effects via the controller's inherent parasitic and coupling parameters. This noise couples into the controller's low-voltage (LV) circuits, disrupting their normal operation and even compromising vehicle safety and reliability. To address the high-voltage (HV)-to-LV EMI coupling challenge in automotive motor drive systems, this paper proposes a coupling path modeling method based on port impedance measurements. Through analyzing the HV-toLV crosstalk coupling mechanism, coupling path models are established for three scenarios: cables, the internal controller, and the overall motor drive system. Key factors affecting HVLV crosstalk coupling and its impact on the LV system are investigated. Comparisons between crosstalk coupling simulation results and experimental measurements reveal a deviation of less than 8 dB, validating the accuracy of the proposed coupling path model.

Original languageEnglish
Title of host publicationProceedings - 2025 International Conference on Artificial Intelligence, Electrical and Electronic Engineering, AI3E 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages396-400
Number of pages5
ISBN (Electronic)9798331579685
DOIs
Publication statusPublished - 2025
Externally publishedYes
Event2025 International Conference on Artificial Intelligence, Electrical and Electronic Engineering, AI3E 2025 - Wuhan, China
Duration: 30 Dec 202531 Dec 2025

Publication series

NameProceedings - 2025 International Conference on Artificial Intelligence, Electrical and Electronic Engineering, AI3E 2025

Conference

Conference2025 International Conference on Artificial Intelligence, Electrical and Electronic Engineering, AI3E 2025
Country/TerritoryChina
CityWuhan
Period30/12/2531/12/25

Keywords

  • crosstalk
  • electric vehicle (EV)
  • high-voltage to low-voltage EMI coupling
  • motor drive system

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