System For Detecting, Assessing, and Displaying Battery Faults
US-2022123559-A1 · Apr 21, 2022 · US
US11657494B1 · US · B1
| Field | Value |
|---|---|
| Publication number | US-11657494-B1 |
| Application number | US-202217576176-A |
| Country | US |
| Kind code | B1 |
| Filing date | Jan 14, 2022 |
| Priority date | Jan 14, 2022 |
| Publication date | May 23, 2023 |
| Grant date | May 23, 2023 |
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A flash thermography device is configured to apply a flash of light to a target area on a surface of the battery cell. An imaging device is configured to capture an image of the target area subsequent to the flash of light being applied to the surface of the battery cell. A defect detection control module is configured to receive the image captured by the imaging device, analyze the image to determine whether a defect is present in the battery cell, and selectively generate and output an indication of whether the defect is present based on the analysis of the image.
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What is claimed is: 1. A defect detection system for a battery cell, the defect detection system comprising: a flash thermography device configured to apply a flash of light to a target area on a surface of the battery cell; an imaging device configured to capture an image of the target area subsequent to the flash of light being applied to the surface of the battery cell; and a defect detection control module configured to receive the image captured by the imaging device, analyze the image to determine whether a defect is present in the battery cell, and selectively generate and output an indication of whether the defect is present based on the analysis of the image, wherein: the imaging device is an infrared (IR) camera and the image is a thermal image; the defect detection control module includes an image analysis module configured to analyze the thermal image; the image analysis module is configured to perform a first analysis on the thermal image based on a thermal signature of the thermal image; the image analysis module is configured to identify features of the thermal image indicative of the defect based on the thermal signature; the image analysis module is configured to perform a second analysis on the thermal image in response to a determination that the identified features indicate that the battery cell includes the defect; the image analysis module is configured to determine whether the battery cell includes the defect based on whether a signal to noise ratio of the thermal image exceeds a threshold; and the image analysis module is configured to determine a type of the defect based on signal to noise ratios in respective subregions of the thermal image. 2. The defect detection system of claim 1 , wherein the flash thermography device is configured to apply the flash of light at a predetermined angle relative to a line normal to the surface of the battery cell. 3. The defect detection system of claim 1 , wherein the IR camera is configured to capture a sequence of images for a predetermined period subsequent to the flash of light. 4. The defect detection system of claim 1 , wherein the battery cell is a battery pouch cell and the defect corresponds to a defect associated with a conductor tab of the battery pouch cell. 5. The defect detection system of claim 4 , wherein the target area includes a surface of packaging of the battery pouch cell adjacent to the conductor tab. 6. A method for detecting defects in a battery cell, the method comprising: using a flash thermography device, applying a flash of light to a target area on a surface of the battery cell; capturing an image of the target area subsequent to the flash of light being applied to the surface of the battery cell; analyzing the image to determine whether a defect is present in the battery cell; and selectively generating and outputting an indication of whether the defect is present based on the analysis of the image, wherein: the flash thermography device is an infrared (IR) camera and the image is a thermal image; and the method further comprises: analyzing the thermal image; performing a first analysis on the thermal image based on a thermal signature of the thermal image; identifying features of the thermal image indicative of the defect based on the thermal signature; performing a second analysis on the thermal image in response to a determination that the identified features indicate that the battery cell includes the defect; determining whether the battery cell includes the defect based on whether a signal to noise ratio of the thermal image exceeds a threshold; and determining a type of the defect based on signal to noise ratios in respective subregions of the thermal image. 7. The method of claim 6 , further comprising applying the flash of light at a predetermined angle relative to a line normal to the surface of the battery cell. 8. The method of claim 6 , wherein the battery cell is a battery pouch cell, the defect corresponds to a defect associated with a conductor tab of the battery pouch cell, and the target area includes a surface of packaging of the battery pouch cell adjacent to the conductor tab.
provided with illuminating means · CPC title
from thermal infrared radiation · CPC title
Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte (constructional details of current conducting connections for detecting conditions inside cells or batteries, e.g. details of voltage sensing terminals, H01M50/569) · CPC title
Energy storage using batteries · CPC title
Testing apparatus · CPC title
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