journal article·2020-01-09Open access

Identifying Defects in Li-Ion Cells Using Ultrasound Acoustic Measurements

James B. Robinson, Rhodri E. Owen, Matt D. R. Kok, Maximilian Maier, Jude Majasan, Michele Braglia, Richard Stocker, Tazdin Amietszajew, Alexander J. Roberts, Rohit Bhagat, Duncan Billsson, Jarred Z. Olson, Juyeon Park, Gareth Hinds, Annika Ahlberg Tidblad, Dan J. L. Brett, Paul R. Shearing

Abstract

Identification of the state-of-health (SoH) of Li-ion cells is a vital tool to protect operating battery packs against accelerated degradation and failure. This is becoming increasingly important as the energy and power densities demanded by batteries and the economic costs of packs increase. Here, ultrasonic time-of-flight analysis is performed to demonstrate the technique as a tool for the identification of a range of defects and SoH in Li-ion cells. Analysis of large, purpose-built defects across multiple length scales is performed in pouch cells. The technique is then demonstrated to detect a microscale defect in a commercial cell, which is validated by examining the acoustic transmission signal through the cell. The location and scale of the defects are confirmed using X-ray computed tomography, which also provides information pertaining to the layered structure of the cells. The demonstration of this technique as a methodology for obtaining direct, non-destructive, depth-resolved measurements of the condition of electrode layers highlights the potential application of acoustic methods in real-time diagnostics for SoH monitoring and manufacturing processes.
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Research context

OpenAlex topics: Advanced Battery Technologies Research · Advancements in Battery Materials · Advanced Battery Materials and Technologies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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