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MIT Decodes Lithium-Ion Battery Sounds, Paving the Way for Early Failure Warnings

Researchers link acoustic signatures to gas generation or material fracturing using wavelet analysis during real-world cycling.

Overview

  • The peer-reviewed study appeared September 5 in Joule, led by Yash Samantaray and Alexander Cohen with Daniel Cogswell and Martin Z. Bazant.
  • By recording battery acoustics alongside voltage and current, the team correlated specific sound patterns with internal processes inside cells.
  • The analysis distinguishes emissions from gas-producing side reactions versus mechanical fracturing, even within noisy operating data.
  • Related work with Oak Ridge National Laboratory shows acoustic signals can flag precursors to thermal runaway before hazardous escalation.
  • MIT has funding from Tata Motors to develop an electric-vehicle monitoring system based on this passive, nondestructive approach, with potential uses in grid storage and manufacturing quality control.