Retired lithium battery screening method based on infrared image hotspot feature clustering analysis
An infrared image and cluster analysis technology, applied in image analysis, material thermal analysis, material analysis, etc., can solve the problems of not fully guaranteeing the consistency of thermal characteristics, increasing the difficulty of thermal management of battery packs, etc., to achieve cascade utilization, The effect of enriching screening methods and reducing difficulty
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[0051] Embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings.
[0052] A method for screening decommissioned lithium batteries based on cluster analysis of infrared image hotspot features of the present invention, firstly, an active heating method for lithium batteries based on sinusoidal current signals is designed to encourage rapid changes in the surface temperature of decommissioned batteries; on this basis, using infrared Imaging technology records the dynamic change of lithium battery surface temperature during this process; directly processes the video sequence information, takes the temperature change as the step size, extracts the key frame image in the video sequence, and synthesizes it into a single infrared image; uses the threshold method to realize image segmentation, Extract the histogram information features of lithium battery hotspots in the image; through mean shift cluster analysis, filter...
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