Kavli Affiliate: Wei Gao
| First 5 Authors: Tonghui Peng, Wei Gao, Ya Wu, Yulong Ma, Shiwu Zhang
| Summary:
With the wide application of electric energy storage component arrays, such
as battery arrays, capacitor arrays, inductor arrays, their potential safety
risks have gradually drawn the public attention. However, existing technologies
cannot meet the needs of non-contact and real-time diagnosis for faulty
components inside these massive arrays. To solve this problem, this paper
proposes a new method based on the beamforming spatial filtering algorithm to
precisely locate the faulty components within the arrays in real-time. The
method uses highly sensitive magnetometers to collect the magnetic signals from
energy storage component arrays, without damaging or even contacting any
component. The experimental results demonstrate the potential of the proposed
method in securing energy storage component arrays. Within an imaging area of
80 mm $times$ 80 mm, the one faulty component out of nine total components can
be localized with an accuracy of 0.72 mm for capacitor arrays and 1.60 mm for
battery arrays.
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