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Related Concept Videos

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Eddy currents can produce significant drag on motion, called magnetic damping. For instance, when a metallic pendulum bob swings between the poles of a strong magnet, significant drag acts on the bob as it enters and leaves the field, quickly damping the motion.
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Mapping oscillating magnetic fields around rechargeable batteries.

Stefan Benders1, Mohaddese Mohammadi1, Matthew J Ganter2

  • 1Department of Chemistry, New York University, New York, United States.

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|September 13, 2020
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This study introduces a new MRI technique to map internal electrical currents in batteries noninvasively. This method provides detailed insights into battery performance and health.

Keywords:
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Area of Science:

  • Materials Science
  • Electrical Engineering
  • Medical Imaging

Background:

  • Batteries are essential for modern technology, but noninvasive characterization methods are limited.
  • Electrical Impedance Spectroscopy (EIS) is a common technique for battery analysis.
  • Inside-out Magnetic Resonance Imaging (ioMRI) has shown promise for internal sensing.

Purpose of the Study:

  • To develop a novel, noninvasive technique for spatially mapping electrical currents within battery cells.
  • To adapt ioMRI principles for visualizing oscillating magnetic fields generated by alternating currents in batteries.
  • To assess the feasibility and effectiveness of this new imaging approach for battery diagnostics.

Main Methods:

  • Utilizing an MRI pulse sequence synchronized with a gated alternating current applied to battery terminals.
  • Generating spatially-resolved maps of oscillating magnetic fields within the battery.
  • Benchmarking the technique with a current-carrying wire coil and testing on commercial and prototype lithium-ion cells.

Main Results:

  • Successfully produced spatially-resolved maps of oscillating magnetic fields within battery cells.
  • Observed distinct changes in magnetic field distribution corresponding to different battery types and internal current flow.
  • Demonstrated the technique's capability on both commercial and prototype lithium-ion battery cells.

Conclusions:

  • The presented MRI-based technique offers a powerful new tool for noninvasive battery characterization.
  • This method can provide valuable insights into internal current distribution, aiding in battery performance analysis and failure prediction.
  • The approach holds potential for advancing battery research and development through detailed internal state monitoring.