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Featured Research​

Spatial Imaging of Battery Degradation Using Sparse Ultrasound Sensors

Researchers have unveiled a groundbreaking method to inspect large-format lithium-ion batteries more efficiently and accurately using advanced ultrasound technology. Traditionally, battery diagnostics relied on slow, point-by-point scans. Now, a new approach leverages guided ultrasound waves to conduct spatial inspections across a wide battery surface—measuring 300 by 210 mm—significantly accelerating the process. In another leap forward, the team employed a sparse network of active sensors to visualize internal battery conditions, enabling the detection of localized faults in LiFePO₄ cells with minimal hardware. This technique offers a cost-effective, scalable solution for real-time monitoring. To top it off, the researchers introduced a novel imaging index based on continuous wavelet transform analysis. This new metric outperformed conventional indices by more than 19% in contrast-to-noise ratio, delivering sharper, clearer insights into battery health. Together, these innovations mark a significant stride toward faster, smarter, and more reliable diagnostics for next-generation energy systems.

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DOI: 10.34133/research.0048

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© 2023 by Applied Acoustics and Signal Processing Lab. 

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