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Ultrasonic interrogation of AGM-VRLA batteries

Authors
  • Guillet, Nicolas
  • Gau, Vincent
  • Kirchev, Angel
Publication Date
Jun 08, 2021
Source
HAL
Keywords
Language
English
License
Unknown
External links

Abstract

This work propose a simple, non-destructive and non-intrusive characterization technique, applied to lead acid batteries for battery monitoring during operation. It consists in installing two piezoelectric transducers on the surface of a battery and studying the transport of ultrasonic acoustic waves through the battery. The acoustic signal transmitted through a commercial 6 V/195 Ah AGM-VRLA battery shows a significant and higly repeatable evolution with the state of charge over cycling, related to physical changes in the battery. From these observations, a light machine learning algorithme was applied to obtain an accurate and direct estimation of the state of charge from the characteristics of the waveform recorded, and could be used for a better management of this type of batteries.

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