CN111458351A - Battery detection system and battery detection method - Google Patents
Battery detection system and battery detection method Download PDFInfo
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- CN111458351A CN111458351A CN201910046576.4A CN201910046576A CN111458351A CN 111458351 A CN111458351 A CN 111458351A CN 201910046576 A CN201910046576 A CN 201910046576A CN 111458351 A CN111458351 A CN 111458351A
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- 238000001514 detection method Methods 0.000 title claims abstract description 85
- 238000000034 method Methods 0.000 claims abstract description 46
- 230000002950 deficient Effects 0.000 claims abstract description 33
- 230000008569 process Effects 0.000 claims abstract description 32
- 238000003466 welding Methods 0.000 claims description 36
- 239000003292 glue Substances 0.000 claims description 27
- 238000012545 processing Methods 0.000 claims description 7
- 238000012360 testing method Methods 0.000 claims description 5
- 238000012790 confirmation Methods 0.000 claims description 3
- 238000010998 test method Methods 0.000 claims 4
- 230000002349 favourable effect Effects 0.000 abstract description 4
- 239000000047 product Substances 0.000 description 43
- 239000000853 adhesive Substances 0.000 description 13
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- 230000007246 mechanism Effects 0.000 description 6
- 230000001681 protective effect Effects 0.000 description 6
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 description 3
- BQCADISMDOOEFD-UHFFFAOYSA-N Silver Chemical compound [Ag] BQCADISMDOOEFD-UHFFFAOYSA-N 0.000 description 3
- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 description 3
- 229910052782 aluminium Inorganic materials 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 3
- 239000011889 copper foil Substances 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 239000011888 foil Substances 0.000 description 3
- 229910052709 silver Inorganic materials 0.000 description 3
- 239000004332 silver Substances 0.000 description 3
- FFRBMBIXVSCUFS-UHFFFAOYSA-N 2,4-dinitro-1-naphthol Chemical compound C1=CC=C2C(O)=C([N+]([O-])=O)C=C([N+]([O-])=O)C2=C1 FFRBMBIXVSCUFS-UHFFFAOYSA-N 0.000 description 2
- FFBHFFJDDLITSX-UHFFFAOYSA-N benzyl N-[2-hydroxy-4-(3-oxomorpholin-4-yl)phenyl]carbamate Chemical compound OC1=C(NC(=O)OCC2=CC=CC=C2)C=CC(=C1)N1CCOCC1=O FFBHFFJDDLITSX-UHFFFAOYSA-N 0.000 description 2
- 239000011248 coating agent Substances 0.000 description 2
- 238000000576 coating method Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000004880 explosion Methods 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
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- 239000011265 semifinished product Substances 0.000 description 1
- 238000004804 winding Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
- G01N21/956—Inspecting patterns on the surface of objects
- G01N21/95607—Inspecting patterns on the surface of objects using a comparative method
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Abstract
The application provides a battery detecting system for detect the battery in process of being manufactured, battery detecting system includes support, shadowless light source, image acquisition device and treater: the bracket comprises a channel allowing the battery to pass through the product, and the channel is provided with a detection area; the shadowless light source is arranged on the bracket and used for illuminating the detection area; the image acquisition device faces the detection area and is used for acquiring an image of the battery when the battery passes through the detection area; and the processor processes the image and judges whether a defective product exists or not. In this application, carry out bad detection at the battery in process of advancing at the work of in process of goods, do not influence the process of battery, and can in time discover the defective products, avoid the defective products to flow out and cause the potential safety hazard, shadowless light source luminance is high and can not produce the shadow in addition, and the image brightness and the contrast that obtain are high, are favorable to improving the accuracy that detects.
Description
Technical Field
The present disclosure relates to the field of battery manufacturing, and particularly to a battery detection system and a battery detection method.
Background
The lithium battery, such as 18650 battery or 21700 battery, needs to carry out rubberizing to the welding region of welding utmost point ear before the pole piece enters the coiling process to avoid the welding region to expose and cause the battery short circuit even explode. Therefore, the detection of the adhesive and the accuracy of the detection become important.
Disclosure of Invention
The application provides a battery detection system and a battery detection method which are simple in structure and high in detection precision.
The application provides a battery detecting system for detect the battery in process of being manufactured, battery detecting system includes support, shadowless light source, image acquisition device and treater: the bracket comprises a channel allowing the battery to pass through the product, and the channel is provided with a detection area; the shadowless light source is arranged on the bracket and used for illuminating the detection area; the image acquisition device faces the detection area and is used for acquiring an image of the battery when the battery passes through the detection area; and the processor processes the image and judges whether a defective product exists or not.
Further, the shadowless light source is an annular light source.
Further, the shadowless light source is located between the detection area and the image acquisition device, the shadowless light source is provided with a cavity, the image acquisition device acquires an image of a battery in process through the cavity, and the movement direction of the battery in process is perpendicular to the arrangement direction of the image acquisition device and the shadowless light source.
Further, the battery detection system comprises a backlight element, and the detection area is located between the backlight element and the image acquisition device.
Further, the backlight element is a backlight source, white paper or a white board.
The application also provides a battery detection method, which is used for a battery detection system, the battery detection system comprises a channel allowing a battery to pass through in-process, the channel is provided with a detection area, and the battery detection method comprises the following steps: illuminating the detection area by a shadowless light source; acquiring an image of a battery when the battery passes through the detection area; and processing the image to judge whether defective products exist.
Further, the processing the image includes: acquiring distance data of the battery in-process according to the image, confirming whether the distance data of the battery in-process is within a preset tolerance range, and judging whether a defective product exists according to a confirmation result; or comparing the image with a preset image, and judging whether a defective product exists according to a comparison result.
The battery in-process further comprises a pole piece, a pole lug, pole piece protective glue and pole lug protective glue, wherein the pole piece is provided with a welding area, the pole lug is welded on the welding area, the pole piece protective glue covers the welding area, the pole lug protective glue covers the pole lug, the extension direction of the pole piece is a first direction, and the extension direction of the pole lug is a second direction; the distance data includes: the size of the part of the pole piece protection glue which exceeds the welding area and does not exceed the pole piece in the first direction, the size of the part of the pole piece protection glue which exceeds the pole piece in the second direction, the size of the part of the pole lug which exceeds the pole piece in the second direction, the size of the exposed part of the pole lug in the second direction, the size of the pole lug protection glue in the first direction, the size of the pole lug in the second direction, and the distance between the edge of the welding area in the first direction and the edge of the pole lug in the first direction.
Further, the battery detection method comprises the following steps: when the distance data of the battery in-process is confirmed to be out of the preset tolerance range, comparing the image of the welding area with the preset image of the welding area, and judging whether the welding area is exposed; and/or comparing the image of the area of the tab covered by the tab protection glue with the preset image of the area of the tab covered by the tab protection glue, and judging whether the tab protection glue is damaged or not.
Further, the battery detection method comprises the following steps: and when the defective products are judged to exist, giving an alarm prompt.
In this application, carry out bad detection at the battery in process of advancing at the work of in process of goods, do not influence the process of battery, and can in time discover the defective products, avoid the defective products to flow out and cause the potential safety hazard, shadowless light source luminance is high and can not produce the shadow in addition, and the image brightness and the contrast that obtain are high, are favorable to improving the accuracy that detects.
Drawings
FIG. 1 is a schematic diagram of the construction of one embodiment of a battery article;
FIG. 2 is a schematic diagram of an embodiment of a battery test system according to the present application;
FIG. 3 is a schematic image of a battery in process taken by an image capture device;
FIG. 4 is a schematic structural diagram of another embodiment of a battery test system according to the present application;
fig. 5 is a schematic flow chart of an embodiment of the battery detection method of the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus consistent with certain aspects of the present application, as detailed in the appended claims.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. Unless defined otherwise, technical or scientific terms used herein shall have the ordinary meaning as understood by one of ordinary skill in the art to which this invention belongs. The use of "first," "second," and similar terms in the description and in the claims does not indicate any order, quantity, or importance, but rather is used to distinguish one element from another. Also, the use of the terms "a" or "an" and the like do not denote a limitation of quantity, but rather denote the presence of at least one. "plurality" or "a number" means two or more. The word "comprising" or "comprises", and the like, means that the element or item listed as preceding "comprising" or "includes" covers the element or item listed as following "comprising" or "includes" and its equivalents, and does not exclude other elements or items. The terms "connected" or "coupled" and the like are not restricted to physical or mechanical connections, but may include electrical connections, whether direct or indirect. As used in this specification and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
The application provides a battery detecting system for detect the battery in process of being manufactured, battery detecting system includes support, shadowless light source, image acquisition device and treater: the bracket comprises a channel allowing the battery to pass through the product, and the channel is provided with a detection area; the shadowless light source is arranged on the bracket and used for illuminating the detection area; the image acquisition device faces the detection area and is used for acquiring an image of the battery when the battery passes through the detection area; and the processor processes the image and judges whether a defective product exists or not. In this application, carry out bad detection at the battery in process of advancing at the work of in process of goods, do not influence the process of battery, and can in time discover the defective products, avoid the defective products to flow out and cause the potential safety hazard, shadowless light source luminance is high and can not produce the shadow in addition, and the image brightness and the contrast that obtain are high, are favorable to improving the accuracy that detects.
Referring to fig. 1, the battery detection system of the present embodiment is used for detecting a battery, and particularly for detecting a battery in-process product 1 to determine whether a defective product exists, particularly whether a welding area is exposed, which is a serious result of explosion and the like due to a short circuit easily occurring once the welding area is exposed.
In this embodiment, the battery product 1 is a semi-finished product before entering the winding process, and includes a pole piece 11, a pole tab 12, a pole piece protection adhesive 13, and a pole tab protection adhesive 14, where the extending direction (or the length direction, the same applies below) of the pole piece 11 is a first direction X, and the extending direction of the pole tab 12 is a second direction Y. The pole piece 11 includes a welding area 15, the pole tab 12 is welded to the welding area 15 (the pole tab protection glue 14 is adhered before welding), after welding is completed, the pole tab protection glue 13 covers the welding area 15, obviously, the part of the pole tab welded to the welding area 15 is also covered by the pole tab protection glue 13. In the present embodiment, the land 15 includes an aluminum foil or a copper foil. The tab protection adhesive 14 covers the tab 12, and the tab protection adhesive 13 protrudes from the tab 11 in the second direction Y and partially covers the tab protection adhesive 14. Referring to fig. 2, the battery products 1 are conveyed by the conveyor 7, the conveyor 7 includes a driving mechanism 71 and a driven mechanism driven by the driving mechanism, the driving mechanism 71 may be a motor, the driven mechanism may include a driving roller 72 and a driven roller 73, the driving roller 72 and the driven roller 73 drive the battery products 1 to advance by friction, and the advancing direction shown in fig. 2 is a top-down direction. Of course, the forward direction may be selected as desired.
Referring to fig. 2, the battery detection system includes a bracket 2, a shadowless light source 3, an image capturing device 5 and a processor 8. The support 2 can be of an integral structure or a split structure, and the mechanism for fixing or installing the components can be regarded as the support of the application, and the support does not form an obstacle to the acquisition of images. In this embodiment, the support 2 is a one-piece structure including a channel 20 for allowing the battery to pass through the product, wherein a portion of the channel 20 located in the radiation area of the image capturing device 5 is defined as a detection area a. When the battery product 1 passes through the detection area a, the battery detection system detects the battery product and determines whether a defective product exists.
The shadowless light source 3 is arranged on the support 2, the shadowless light source 2 is high in brightness and cannot generate shadows, and the obtained image is high in brightness and definition and beneficial to improving the detection accuracy. The shadowless light source 3 illuminates the detection area a. Of course, the illumination range of the shadowless light source 3 may be larger than the detection area. Optionally, the shadowless light source 3 is a ring light source having a cavity 31, the cavity 31 being enclosed by the inner surface of the shadowless light source. The light of the shadowless light source 3 irradiates the battery product 1 in the detection area a, and the image acquisition device 5 acquires the image of the battery product through the cavity 31.
The image capturing device 5 includes a camera 51 and a lens 52 disposed at the front end of the camera, and the camera 51 captures an image of the battery under production through the lens 52 and the cavity 31. The shadowless light source 3 is located between the detection area a and the image acquisition device 5, and the three are arranged along a third direction Z. In this embodiment, the first direction X, the second direction Y, and the third direction Z are perpendicular to each other. Preferably, the shadowless light source 3, the detection area a and the image acquisition device 5 are arranged coaxially.
The image acquisition device 5 is electrically connected with the processor 8, and the processor 8 receives the image acquired by the image acquisition device 5, processes the image and judges whether a defective product exists. The specific determination process will be described in detail below. In this embodiment, the processor 8 may be an industrial personal computer.
In one embodiment, the battery detection system further comprises a backlight element 6, and in this embodiment, the backlight element 6 is mounted to the bracket 2. The detection area a is located between the backlight element 6 and the shadowless light source 3, the backlight element 6 is used for providing a white background color to form a background image, and the background image is white, while the electrode tab 11 is black, the electrode tab 12 is silver, the electrode tab protective adhesive 14 and the electrode tab protective adhesive 13 are approximately transparent yellow, the welding area 15 is silver or golden yellow (the silver corresponds to the aluminum foil, and the golden yellow corresponds to the copper foil), and the image of the battery in process and the background image form a sharp contrast, so that the accuracy of image identification of the battery in process is improved, and the finally obtained image is as shown in fig. 3. The backlight element 6 may be selected from a backlight source, a white paper or a white board, which is relatively low cost compared to the backlight source.
The present application further provides a battery detection system, please combine fig. 4, in this embodiment, the movement direction of the battery in-process product 1 is the horizontal direction, the bracket includes a first bracket 21 and a second bracket 22 separately disposed, a channel 20A is formed between the first bracket 21 and the second bracket 22, the image acquisition device 5 and the shadowless light source 3 are both located below the detection area B, the backlight element 6 is disposed above the detection area and mounted on the second bracket 22, the shadowless light source 3 is mounted on the first bracket 21 and is used for illuminating the detection area B, and the shadowless light source is used for acquiring the image of the battery in-process product in the detection area B. Other structures in this embodiment are substantially the same as those in the foregoing embodiment, and detailed description thereof is omitted.
The present application further provides a battery detection method, which is used in the battery detection system of the foregoing embodiment, referring to fig. 5, the battery detection method includes:
s1: the detection area a (or detection area B, the same applies below) is illuminated by a shadowless light source 3.
In one embodiment, the detection area a can be illuminated by the annular light source 3, and the shadowless light source (or the annular light source) has the advantages of high brightness, no shadow and the like, which is beneficial to improving the brightness and the definition of an image.
S2: an image of the battery as the product 1 passes through the detection zone a is acquired.
In one embodiment, an image of the battery when the article 1 is in the inspection area a is acquired by the camera 51 of the image acquisition device. In one embodiment, a backlight element 6 can be disposed behind the detection area a (on the side away from the shadowless light source), so that the background image is in sharp contrast with the image of the battery product 1, which is beneficial to improving the detection accuracy.
S3: and processing the image to judge whether defective products exist.
In one embodiment, the characteristics of the image are compared with a preset image, and if the processor 8 determines that there is a significant difference, the corresponding battery in-process product is determined to be a non-defective product, otherwise, the battery in-process product is determined to be a non-defective product. The preset image may be understood as an image of a good. For example, comparing the actual image of the welding area with the preset image of the welding area, and judging whether the defect of exposed welding area (or exposed copper foil or exposed aluminum foil) exists; or comparing the actual image of the tab protection glue wrapping area (the area of the tab protection glue covering the tab) with the preset image of the tab protection glue wrapping area, and judging whether the tab protection glue is damaged or not.
In another embodiment, the distance data of the battery in process 1 is obtained according to the image, whether the distance data of the battery in process 1 is within a preset tolerance range is confirmed, and whether a defective product exists is judged according to the confirmation result. If the distance data of the battery in the product 1 is within the preset tolerance range, the battery is judged to be qualified, otherwise, the battery is judged to be unqualified.
The distance data includes at least one of a dimension a of a portion of the pole piece protection paste 13 which exceeds the welding region 15 and does not exceed the pole piece 11 in the first direction X, a dimension b of a portion of the pole piece protection paste 13 which exceeds the pole piece 11 in the second direction, a dimension c of a portion of the tab 12 which exceeds the pole piece 11 in the second direction, a dimension d of an exposed portion of the tab in the second direction, a dimension e of the tab protection paste 14 in the first direction, a dimension f of the tab 12 in the second direction, and a distance g between an edge of the welding region 15 in the first direction and an edge of the tab 12 in the first direction. The predetermined tolerance range may be understood as corresponding respective dimensions of the non-defective product. The size a and the size b can be determined by taking multiple values to ensure the accuracy of the determination, for example, the sizes a and the sizes b of the four end regions are respectively taken.
In one embodiment, the area corresponding to the data with the distance data exceeding the preset tolerance range may be compared with the preset image. Optionally, the actual image of the welding area 15 may be further compared with the preset image of the welding area 15 to determine whether the welding area 15 is exposed (similar to the foregoing embodiment); or comparing the actual image of the adhesive coating area of the tab protection adhesive 14 with the preset image of the adhesive coating area of the tab protection adhesive 14, and determining whether the tab protection adhesive 14 is damaged (also similar to the previous embodiment). After confirming whether the distance data of the battery in the process is within the preset tolerance range, the processor 8 can identify the partial image in a targeted manner, and compared with the previous embodiment, the identification speed is higher.
S4: and when the defective products are judged to exist, giving an alarm prompt.
In one embodiment, the alarm prompt may be at least one of an acoustic prompt, an optical prompt, a vibration prompt, and the like, and the operator may respond quickly when a defective product is detected, such as processing the defective product, finding a cause of the defective product, and improving the defective product.
Optionally, an alarm may be sent when the distance data is outside the preset tolerance range.
In this application, carry out bad detection at the battery in process of advancing at the work of in process of goods, do not influence the process of battery, and can in time discover the defective products, avoid the defective products to flow out and cause the potential safety hazard, shadowless light source luminance is high and can not produce the shadow in addition, and the image brightness and the contrast that obtain are high, are favorable to improving the accuracy that detects.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the scope of protection of the present application.
Claims (10)
1. A battery detection system is used for detecting a battery in process, and is characterized in that: the battery detection system includes:
a support including a channel allowing passage of a battery through an article, the channel having a detection zone;
the shadowless light source is arranged on the bracket and used for illuminating the detection area;
the image acquisition device faces the detection area and is used for acquiring an image of the battery when the battery passes through the detection area;
and the processor is used for processing the image and judging whether defective products exist or not.
2. The battery detection system of claim 1, wherein: the shadowless light source is an annular light source.
3. The battery detection system of claim 1, wherein: the shadowless light source is located between the detection area and the image acquisition device, the shadowless light source is provided with a cavity, the image acquisition device acquires an image of a battery in process through the cavity, and the movement direction of the battery in process is perpendicular to the arrangement direction of the image acquisition device and the shadowless light source.
4. The battery detection system of claim 1, wherein: the battery detection system comprises a backlight element, and the detection area is located between the backlight element and the image acquisition device.
5. The battery detection system of claim 4, wherein: the backlight element is a backlight source, white paper or a white board.
6. A battery testing method for use in a battery testing system including a passageway for allowing passage of a battery through an article, the passageway having a testing zone, the method comprising: the battery detection method comprises the following steps:
illuminating the detection area by a shadowless light source;
acquiring an image of a battery when the battery passes through the detection area;
and processing the image to judge whether defective products exist.
7. The battery test method of claim 6, wherein: the processing the image comprises:
acquiring distance data of the battery in-process according to the image, confirming whether the distance data of the battery in-process is within a preset tolerance range, and judging whether a defective product exists according to a confirmation result;
or comparing the image with a preset image, and judging whether a defective product exists according to a comparison result.
8. The battery test method of claim 7, wherein: the battery in-process product comprises a pole piece, a pole lug, pole piece protection glue and pole lug protection glue, wherein the pole piece is provided with a welding area, the pole lug is welded on the welding area, the pole piece protection glue covers the welding area, the pole lug protection glue covers the pole lug, the extension direction of the pole piece is a first direction, and the extension direction of the pole lug is a second direction;
the distance data includes:
the size of the part of the pole piece protection glue which exceeds the welding area and does not exceed the pole piece in the first direction, the size of the part of the pole piece protection glue which exceeds the pole piece in the second direction, the size of the part of the pole lug which exceeds the pole piece in the second direction, the size of the exposed part of the pole lug in the second direction, the size of the pole lug protection glue in the first direction, the size of the pole lug in the second direction, and the distance between the edge of the welding area in the first direction and the edge of the pole lug in the first direction.
9. The battery test method of claim 8, wherein: the battery detection method comprises the following steps: upon confirming that the distance data of the battery in process is outside the preset tolerance range,
comparing the image of the welding area with a preset image of the welding area, and judging whether the welding area is exposed or not;
and/or comparing the image of the area of the tab covered by the tab protection glue with the preset image of the area of the tab covered by the tab protection glue, and judging whether the tab protection glue is damaged or not.
10. The battery test method of claim 6, wherein: the battery detection method comprises the following steps:
and when the defective products are judged to exist, giving an alarm prompt.
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| CN201910046576.4A CN111458351A (en) | 2019-01-18 | 2019-01-18 | Battery detection system and battery detection method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115825070A (en) * | 2022-08-10 | 2023-03-21 | 宁德时代新能源科技股份有限公司 | Battery cell detection method and device, computer equipment and medium |
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| CN108507613A (en) * | 2018-03-27 | 2018-09-07 | 无锡先导智能装备股份有限公司 | One kind being based on CCD lugs/adhesive tape position detecting system and method |
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| CN115825070A (en) * | 2022-08-10 | 2023-03-21 | 宁德时代新能源科技股份有限公司 | Battery cell detection method and device, computer equipment and medium |
| WO2024032002A1 (en) * | 2022-08-10 | 2024-02-15 | 宁德时代新能源科技股份有限公司 | Battery cell detection method, apparatus and system, and computer device and storage medium |
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