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Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
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Foreign object detection considering misalignment effect for wireless EV charging system.

Songyan Niu1, Cheng Zhang2, Yujun Shi2

  • 1Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen 518055, China; Department of Electrical Engineering, The Hong Kong Polytechnic University, 999077, Hong Kong, China.

ISA Transactions
|May 7, 2022
PubMed
Summary
This summary is machine-generated.

Foreign object detection in wireless electric vehicle charging is improved by a new strategy. This method uses voltage vector decomposition to maintain accuracy despite spatial misalignment, preventing thermal risks.

Keywords:
Electric vehicle (EV)Foreign object detection (FOD)Inductive power transfer (IPT)MisalignmentSensing coil

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Area of Science:

  • Electrical Engineering
  • Automotive Technology
  • Electromagnetic Compatibility

Background:

  • Wireless electric vehicle charging (WEVC) systems face thermal risks from foreign objects.
  • Spatial misalignment between the electric vehicle (EV) and ground transmitter is a common issue.
  • Conventional foreign object detection (FOD) methods suffer significant accuracy degradation due to misalignment.

Purpose of the Study:

  • To propose a novel FOD strategy for WEVC systems that is robust to spatial misalignment.
  • To ensure reliable FOD performance throughout the entire charging process, irrespective of circuit resonance.
  • To develop a cost-effective solution for real-time spatial misalignment detection.

Main Methods:

  • A new FOD strategy based on passive sensing coils and voltage vector decomposition (VVD) is introduced.
  • Inductance-misalignment mapping (IMM) is devised for real-time spatial misalignment estimation using existing sensing coils.
  • The VVD strategy is designed to be inherently invariant to misalignment.

Main Results:

  • The proposed VVD-based FOD strategy demonstrates robustness against spatial misalignment.
  • The IMM method enables accurate, real-time detection of EV spatial position without additional hardware.
  • Validation with a 3-kW prototype confirmed the effectiveness of the method across various load conditions.

Conclusions:

  • The VVD-based FOD strategy effectively overcomes the limitations of conventional methods in WEVC systems.
  • The IMM technique provides a practical and economical solution for real-time misalignment compensation.
  • The developed approach enhances the safety and reliability of wireless electric vehicle charging.