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Ultrasonic interrogation of AGM-VRLA batteries

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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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Dates and versions

cea-03215022 , version 1 (03-05-2021)

Identifiers

  • HAL Id : cea-03215022 , version 1

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Nicolas Guillet, Vincent Gau, Angel Kirchev. Ultrasonic interrogation of AGM-VRLA batteries. LABAT'21 - 11th International Conference on Lead-Acid Batteries, The Bulgarian Academy of Sciences, Jun 2021, VIRTUAL event, Bulgaria. ⟨cea-03215022⟩
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