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Related Concept Videos

Induction01:16

Induction

An emf is induced when the magnetic field in a coil is changed by pushing a bar magnet into or out of the coil. emfs of opposite signs are produced by motion in opposite directions, and the directions of emfs are also reversed by reversing poles. The same results are produced if the coil is moved rather than the magnet—it is the relative motion that is important. The faster the motion, the greater the emf. Additionally, there is no emf when the magnet is stationary relative to the coil.
A...
Induced Electric Fields: Applications01:27

Induced Electric Fields: Applications

An important distinction exists between the electric field induced by a changing magnetic field and the electrostatic field produced by a fixed charge distribution. Specifically, the induced electric field is nonconservative because it does not work in moving a charge over a closed path. In contrast, the electrostatic field is conservative and does no net work over a closed path. Hence, electric potential can be associated with the electrostatic field but not the induced field. The following...
Applications of EMF Measurements01:26

Applications of EMF Measurements

Electromotive force (EMF) measurements have a broad range of applications in various fields, including chemistry and physics. The electrochemical series, an arrangement of elements in order of their standard electrode potentials, can be determined through EMF measurements. Elements with lower standard potentials can reduce ions of elements with higher standard potentials.The standard cell potential, E°, allows for the calculation of the standard reaction Gibbs energy, ΔG°, and the equilibrium...
Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
Charging Conductors By Induction01:15

Charging Conductors By Induction

The Earth is a good conductor of electricity, and it is so big that it can be considered an infinite source or sink of charges. It can easily exchange charges with any matter.
Generally, conductors like metals do not allow any excess charge to be present on them. Any excess charge added to metals easily flows away, for example, when a metal is placed on the Earth. This process is called earthing.
However, conductors can be charged by a process called induction. For example, consider charging a...
Magnetic Field due to Moving Charges01:23

Magnetic Field due to Moving Charges

A stationary charge creates and interacts with the electric field, while a moving charge creates a magnetic field.
Consider a point charge moving with a constant velocity. Like the electric field, the magnetic field at any point is directly proportional to the magnitude of the charge and inversely proportional to the square of the distance between the source point and the field point. However, unlike the electric field, the magnetic field is always perpendicular to the plane containing the line...

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Magnetic Levitation Coupled with Portable Imaging and Analysis for Disease Diagnostics
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Machine Learning-Based Foreign Object Detection in Wireless EV Charging Using Planar Magnetic Induction Tomography.

Abdul Khader Abdul Vahid1, Dorian Vargas-Reighley1, Benjamin Warrington1

  • 1Electric Green Ltd., Kingston-upon-Thames KT1 3GZ, UK.

Sensors (Basel, Switzerland)
|June 12, 2026
PubMed
Summary
This summary is machine-generated.

A new machine learning system using Magnetic Inductance Tomography (MIT) sensors reliably detects foreign objects before wireless power transfer (WPT) begins. This ensures safer and more efficient electric vehicle charging by preventing potential hazards.

Keywords:
electric vehiclesforeign object detectionmachine learningmagnetic inductance tomographywireless power transfer

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Area of Science:

  • Electrical Engineering
  • Electromagnetics
  • Machine Learning

Background:

  • Wireless power transfer (WPT) for electric vehicles (EVs) necessitates robust foreign object detection (FOD) for safety and efficiency.
  • Existing FOD methods (impedance, visual, thermal) lack spatial resolution and are susceptible to misalignment.

Purpose of the Study:

  • To develop an advanced FOD system for WPT, specifically detecting objects in the magnetic coupling area before power transfer.
  • To enhance the safety and reliability of EV wireless charging infrastructure.

Main Methods:

  • Proposed a machine learning-based FOD approach utilizing a planar Magnetic Inductance Tomography (MIT) sensor array for spatial electromagnetic sensing.
  • Collected a comprehensive dataset (17,800 + 300 frames) using a custom STM32 data acquisition system, capturing data before and during WPT.
  • Evaluated four classification models (Random Forest, SVM, XGBoost, MLP) and employed feature engineering for robustness against sensor drift and environmental variations.

Main Results:

  • Achieved high detection accuracy for conductive foreign objects under diverse conditions, including real-world scenarios.
  • Demonstrated the system's capability for early detection and precise localization of foreign objects.
  • Validated the effectiveness of the machine learning-based MIT sensing approach.

Conclusions:

  • The proposed machine learning-based MIT sensing system offers a reliable solution for foreign object detection in wireless EV charging.
  • This technology is feasible for integration into live WPT systems, significantly improving operational safety.
  • The study highlights the potential of advanced sensing and machine learning for next-generation EV charging infrastructure.