CN108037130A - The lug defect automatic testing method and automatic detection device of battery core - Google Patents
The lug defect automatic testing method and automatic detection device of battery core Download PDFInfo
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- CN108037130A CN108037130A CN201711258573.4A CN201711258573A CN108037130A CN 108037130 A CN108037130 A CN 108037130A CN 201711258573 A CN201711258573 A CN 201711258573A CN 108037130 A CN108037130 A CN 108037130A
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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
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/14—Measuring arrangements characterised by the use of optical techniques for measuring distance or clearance between spaced objects or spaced apertures
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/24—Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/26—Measuring arrangements characterised by the use of optical techniques for measuring angles or tapers; for testing the alignment of axes
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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
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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
- G01N21/8806—Specially adapted optical and illumination features
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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
- G01N2021/845—Objects on a conveyor
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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
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8887—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges based on image processing techniques
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- Life Sciences & Earth Sciences (AREA)
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- Immunology (AREA)
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- Engineering & Computer Science (AREA)
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- Connection Of Batteries Or Terminals (AREA)
Abstract
The invention discloses the lug defect automatic testing method and automatic detection device of a kind of battery core, wherein, this method includes：Battery core to be detected is transmitted to predeterminated position, predeterminated position is on the shooting direction extension line of picture pick-up device；Absorb the image information of battery core to be detected；Using default lug defects detection analysis of strategies image information, to judge that the lug of battery core to be detected whether there is defect；If defect is not present in battery core to be detected, battery core to be detected is transmitted to next station.The lug that the present invention automatically analyzes battery core by the image information that picture pick-up device absorbs whether there is defect, both cost of labor is saved, also the determination rate of accuracy of lug defect is improved, and then had both improved the quality of battery modules, also improves the assembling speed of battery modules.
Description
Technical field
A kind of lug defect the present invention relates to battery pole ear defect detecting technique field, more particularly to battery core detects automatically
Method and automatic detection device.
Background technology
Existing battery core is before battery modules are assembled into, judgement the defects of by manually carrying out cell polar ear.Due to electricity
The lug of core is smaller, so, people is low with the presence or absence of the judgement accuracy of defect to battery pole ear.Therefore, battery core is being assembled into
After battery modules, if the battery pole ear existing defects of battery core, battery pole ear is caused to enter the copper bar of connecting tab.Mesh
Before, for the battery pole ear of small defect, cause battery pole ear to enter copper bar by way of manual operation, it is larger for defect
Battery pole ear, then need to replace the battery core, and re-starts assembling.Like this, the quality of battery modules had both been reduced, had also been dropped
Low assembling speed.
In conclusion the defects of urgent need to resolve battery pole ear low problem of determination rate of accuracy, so as to lift the matter of battery modules
Amount and assembling speed.
The content of the invention
It is an object of the invention to provide the lug defect automatic testing method and automatic detection device of a kind of battery core, with solution
The problem of certainly determination rate of accuracy is low the defects of existing battery pole ear.
To solve the above-mentioned problems, the present invention provides a kind of lug defect automatic testing method of battery core, it includes：
Battery core to be detected is transmitted to predeterminated position, predeterminated position is on the shooting direction extension line of picture pick-up device；
Absorb the image information of battery core to be detected；
Using default lug defects detection analysis of strategies image information, to judge the lug of battery core to be detected with the presence or absence of scarce
Fall into；
If defect is not present in battery core to be detected, battery core to be detected is transmitted to next station.
As a further improvement on the present invention, the image information of battery core to be detected is absorbed, is included before：
Detect the environmental light intensity around battery core to be detected；
Judge whether environmental light intensity exceedes default Intensity threshold；
If environmental light intensity sends light corresponding with difference light intensity and irradiation electricity to be detected not less than default Intensity threshold
Core, difference light intensity=default Intensity threshold-environmental light intensity.
As a further improvement on the present invention, judge that the lug of battery core to be detected whether there is defect, further include afterwards：
If battery core existing defects to be detected, defect battery core lay-down location is transferred to by battery core to be detected.
As a further improvement on the present invention, using default lug defects detection analysis of strategies image information, to judge to treat
The lug of detection battery core whether there is defect, including：
The boundary curve of battery core to be detected in image information, boundary curve bag are extracted using default lug defects detection strategy
Include positive pole ear curve and negative lug curve；
According to positive pole ear curve and negative lug curve, the actual range and each lug between two lugs are obtained
With the actual angle between preset level line；
If actual range is without departing from pre-determined distance threshold value and actual angle is without departing from predetermined angle threshold value, judge to be detected
Defect is not present in the lug of battery core；
If actual range exceeds predetermined angle threshold value beyond pre-determined distance threshold value or actual angle, battery core to be detected is judged
Lug existing defects.
To solve the above-mentioned problems, present invention also offers a kind of lug automatic defect detecting device of battery core, it includes：
Conveyer belt, extends for transmitting battery core to be detected to predeterminated position, predeterminated position in the shooting direction of picture pick-up device
On line；
Picture pick-up device, for absorbing the image information of battery core to be detected；
Processor, for using default lug defects detection analysis of strategies image information, to judge the pole of battery core to be detected
Ear whether there is defect, and processor is electrically connected with picture pick-up device, conveyer belt respectively；
Conveyer belt, if being additionally operable to battery core to be detected is not present defect, next station is transmitted to by battery core to be detected.
As a further improvement on the present invention, it is further included：
Light-intensity test sensor, for detecting the environmental light intensity around battery core to be detected；
Processor, is additionally operable to judge whether environmental light intensity exceedes default Intensity threshold, processor is passed with light-intensity test respectively
Sensor, light source module are electrically connected；
Light source module, if sending light corresponding with difference light intensity not less than default Intensity threshold for environmental light intensity
And irradiation battery core to be detected, difference light intensity=default Intensity threshold-environmental light intensity.
As a further improvement on the present invention, it is further included：
Defect battery core transfer mechanism, if for battery core existing defects to be detected, defect electricity is transferred to by battery core to be detected
Core lay-down location.
As a further improvement on the present invention, defect battery core transfer mechanism, including：
Clamping components, for clamping the battery core of existing defects；
Drive component, for driving clamping components, is moved, so that existing defects up and/or down relative to conveyer belt
Battery core leave conveyer belt.
As a further improvement on the present invention, clamping components are equipped with multiple suckers.
As a further improvement on the present invention, processor includes：
Boundary curve extraction module, for using battery core to be detected in default lug defects detection strategy extraction image information
Boundary curve, boundary curve includes positive pole ear curve and negative lug curve；
Relevant parameter acquisition module, for according to positive pole ear curve and negative lug curve, obtaining between two lugs
Actual range and each lug and preset level line between actual angle；
Qualified lug determination module, if for actual range without departing from pre-determined distance threshold value and actual angle without departing from default
Angle threshold, then judge that defect is not present in the lug of battery core to be detected；
Defect lug determination module, if exceeding predetermined angle beyond pre-determined distance threshold value or actual angle for actual range
Threshold value, then judge the lug existing defects of battery core to be detected.
Compared with prior art, the present invention by picture pick-up device absorb image information automatically analyze battery core lug whether
Existing defects, both save cost of labor, also improve the determination rate of accuracy of lug defect, and then both improve battery modules
Quality, also improves the assembling speed of battery modules.
Brief description of the drawings
Fig. 1 is the flow diagram of lug defect automatic testing method one embodiment of battery core of the present invention；
Fig. 2 is the flow diagram of lug defect second embodiment of automatic testing method of battery core of the present invention；
Fig. 3 is the flow diagram of the 3rd embodiment of lug defect automatic testing method of battery core of the present invention；
Fig. 4 shows for the flow of determining defects flow one embodiment in the lug defect automatic testing method of battery core of the present invention
It is intended to；
Fig. 5 is the overall structure diagram of lug automatic defect detecting device one embodiment of battery core of the present invention；
Fig. 6 is the part-structure schematic diagram of Fig. 5；
Fig. 7 illustrates for the function module of processor one embodiment in the lug automatic defect detecting device of battery core of the present invention
Figure.
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, with reference to the accompanying drawings and embodiments, it is right
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used to limit the present invention.
Fig. 1 illustrates one embodiment of the lug defect automatic testing method of battery core of the present invention.In the present embodiment, should
The lug defect automatic testing method of battery core includes the following steps：
Step S1, transmits battery core to be detected to predeterminated position, predeterminated position is on the shooting direction extension line of picture pick-up device.
It should be noted that predeterminated position in the present embodiment can also be picture pick-up device shooting effective range with
It is interior.Preferably, predeterminated position is on the shooting direction extension line of picture pick-up device.
Step S2, absorbs the image information of battery core to be detected.
Step S3, using default lug defects detection analysis of strategies image information, to judge that the lug of battery core to be detected is
No existing defects.If defect is not present in battery core to be detected, step S4 is performed.
Step S4, next station is transmitted to by battery core to be detected.
The lug that the present embodiment automatically analyzes battery core by the image information that picture pick-up device absorbs whether there is defect, both save
Cost of labor has been saved, has also improved the determination rate of accuracy of lug defect, and then had both improved the quality of battery modules, has also been improved
The assembling speed of battery modules.
The lug defect automatic testing method of the battery core of the present invention is applied to the lug automatic defect detecting device of battery core
During use, due to the lug automatic defect detecting device of battery core shelve with workshop, so, there are light for very big possibility
The situation of deficiency.Therefore, on the basis of above-described embodiment, in other embodiment, before step S2, further include：
Step S10, detects the environmental light intensity around battery core to be detected.
Step S11, judges whether environmental light intensity exceedes default Intensity threshold.If environmental light intensity is not less than default light intensity threshold
Value, then perform step S12.
Step S12, sends light corresponding with difference light intensity and irradiation battery core to be detected, difference light intensity=default light intensity threshold
Value-environmental light intensity.
The present embodiment detects the environmental light intensity around battery core to be detected in real time, and in the case of insufficient light, there is provided one
Determine the light of intensity, so that it is guaranteed that picture pick-up device is shot under specified light intensity, ensure that the clarity of photo, into
And analyzed and processed according to the high photo of clarity, determination rate of accuracy is improved, so that further improving battery modules
The assembling speed of quality and battery modules.
The lug defect automatic testing method of the battery core of the present invention is applied to the lug automatic defect detecting device of battery core
During use, if the lug of battery core there are problem, it is necessary to handled immediately, avoid influence from automatically processing speed.Therefore, exist
On the basis of above-described embodiment, in other embodiment, referring to Fig. 3, after step S3, if battery core existing defects to be detected, hold
Row step S20.
Step S20, defect battery core lay-down location is transferred to by battery core to be detected.
Defective battery core is transferred to defect battery core lay-down location by the present embodiment automatically, has both been avoided to follow-up battery core detection
Impact, also allow for operating personnel and defective battery core is uniformly processed (for example：Battery pole ear is ressembled, or it is right
Battery pole ear carries out correction processing etc.), and then both improved the automatic performance and user experience of battery core detection.
The lug defect automatic testing method of the battery core of the present invention is applied to the lug automatic defect detecting device of battery core
, it is necessary to cause the detection of lug to be easily achieved during use, therefore, on the basis of above-described embodiment, in other embodiment, ginseng
See Fig. 4, step S3, including：
Step S30, the boundary curve of battery core to be detected in image information, side are extracted using default lug defects detection strategy
Edge curve includes positive pole ear curve and negative lug curve.
Step S31, according to positive pole ear curve and negative lug curve, obtains actual range between two lugs and every
Actual angle between one lug and preset level line.
It should be noted that battery core includes lug and battery core body, the battery core body is with lug junction as benchmark
Line is (i.e.：Preset level line).Further, the positive pole ear of battery core is arranged at the same side of battery core with negative lug.It is actual away from
From can be the distance between positive pole ear medial axis, negative lug medial axis.Actual angle can be positive pole ear
Angle between medial axis and datum line or the angle between negative lug medial axis and datum line.
Step S32, judges whether actual range exceedes pre-determined distance threshold value, and judges whether actual angle exceedes preset angle
Spend threshold value.If actual range is without departing from pre-determined distance threshold value and actual angle is without departing from predetermined angle threshold value, step is performed
S33.If actual range exceeds predetermined angle threshold value beyond pre-determined distance threshold value or actual angle, step S34 is performed.
Step S33, judges that defect is not present in the lug of battery core to be detected.
Step S34, judges the lug existing defects of battery core to be detected.
Present embodiment determine that actual range without departing from pre-determined distance threshold value and actual angle without departing from predetermined angle threshold value when,
Then judge that defect is not present in the lug of the battery core, like this, it is only necessary to positive pole ear curve and negative lug curve are extracted, and
Actual range and actual angle are obtained according to positive pole ear curve and negative lug curve, therefore, which is easily achieved,
So as to reduce design difficulty coefficient, so that reducing design cost.
Fig. 5 illustrates one embodiment of the lug automatic defect detecting device of battery core of the present invention.In the present embodiment, should
The lug automatic defect detecting device of battery core includes conveyer belt 10, picture pick-up device 11 and processor (not shown).
Wherein, conveyer belt 10, take the photograph for transmitting battery core 12 to be detected to predeterminated position, predeterminated position picture pick-up device 11
Image space is on extension line；Picture pick-up device 11, for absorbing the image information of battery core 12 to be detected；Processor, for using default
Lug defects detection analysis of strategies image information, to judge that the lug of battery core 12 to be detected whether there is defect, processor difference
It is electrically connected with picture pick-up device 11, conveyer belt 10；Conveyer belt 10, if being additionally operable to battery core 12 to be detected is not present defect, will treat
Detection battery core 12 is transmitted to next station.
It should be noted that the processor in the present embodiment can be arranged in picture pick-up device, other can also be arranged at
Position, both to control conveyer belt, also controls picture pick-up device.
On the basis of above-described embodiment, in other embodiment, the lug automatic defect detecting device of the battery core further includes
Light-intensity test sensor (not shown) and light source module (not shown).
Wherein, light-intensity test sensor, for detecting the environmental light intensity around battery core 12 to be detected；Processor, is additionally operable to
Judge whether environmental light intensity exceedes default Intensity threshold, processor is electrically connected with light-intensity test sensor, light source module respectively；
Light source module, if sending light corresponding with difference light intensity not less than default Intensity threshold for environmental light intensity and irradiation being treated
Detect battery core 12, difference light intensity=default Intensity threshold-environmental light intensity.
It should be noted that being the environmental light intensity around detection battery core to be detected, and battery core to be detected is irradiated, therefore,
Light-intensity test sensor can neighbouring picture pick-up device setting with light source module.
On the basis of above-described embodiment, in other embodiment, referring to Fig. 5, the lug defect of the battery core detects dress automatically
Put and further include defect battery core transfer mechanism 20.Wherein, defect battery core transfer mechanism 20, lacks if existing for battery core 12 to be detected
Fall into, then battery core 12 to be detected is transferred to defect battery core lay-down location.
It should be noted that the lug automatic defect detecting device of the battery core of the present embodiment includes a mounting bracket 21, peace
The side for filling stent 21 sets picture pick-up device 11, and opposite side sets defect battery core transfer mechanism 20.
Specifically, clamping components 201 and drive component 202 are included referring to Fig. 6, defect battery core transfer mechanism 20.
Wherein, clamping components 201, for clamping the battery core of existing defects；Drive component 202, for driving clamping components
201, moved up and/or down relative to conveyer belt 10, so that the battery core of existing defects leaves conveyer belt 10.
Specifically, mounting bracket 21 sets a guide rail, is set on guide rail and slides chain, drive component 202 includes one " 7 "
Chain, other end connection clamping components 201 are slided in shaped connecting piece, the connection of " 7 " shaped connecting piece one end.
The present embodiment sets picture pick-up device 11 and defect battery core transfer mechanism 20 in the both sides of mounting bracket 21 respectively, fully
Using space layout, cause the structure simplification of lug automatic defect detecting device.
Further, clamping components 201 are equipped with multiple suckers 2011.
The present embodiment avoids other modes clamping battery core by sucker suction battery core body, with induced damage resistive battery core, so that
Lose and handle the battery core, so that being changed into the chance of zero defect battery core.Like this, the qualification of overall battery core is further improved
Rate.
On the basis of above-described embodiment, in other embodiment, referring to Fig. 7, which includes boundary curve extraction mould
Block 30, relevant parameter acquisition module 31, qualified lug determination module 32 and defect lug determination module 33.
Wherein, boundary curve extraction module 30, is treated for being extracted using default lug defects detection strategy in image information
The boundary curve of battery core 12 is detected, boundary curve includes positive pole ear curve and negative lug curve；Relevant parameter acquisition module
31, for according to positive pole ear curve and negative lug curve, obtaining the actual range and each lug between two lugs
With the actual angle between preset level line；Qualified lug determination module 32, if for actual range without departing from pre-determined distance threshold
It is worth and actual angle is without departing from predetermined angle threshold value, then judges that defect is not present in the lug of battery core 12 to be detected；Defect lug is sentenced
Cover half block 33, if exceeding predetermined angle threshold value beyond pre-determined distance threshold value or actual angle for actual range, judges to be checked
Survey the lug existing defects of battery core 12.
The embodiment of invention is described in detail above, but it is only used as example, and the present invention is not intended to limit
With specific embodiments described above.For a person skilled in the art, any equivalent modifications carried out to the invention
Or substitute also all among scope of the invention, therefore, the equalization made in the case where not departing from the spirit and principles in the present invention scope
Conversion and modification, improvement etc., all should be contained within the scope of the invention.
Claims (10)
1. the lug defect automatic testing method of a kind of battery core, it is characterised in that it includes：
Battery core to be detected is transmitted to predeterminated position, the predeterminated position is on the shooting direction extension line of picture pick-up device；
Absorb the image information of the battery core to be detected；
Using default lug defects detection analysis of strategies described image information, to judge whether the lug of the battery core to be detected is deposited
In defect；
If defect is not present in the battery core to be detected, the battery core to be detected is transmitted to next station.
2. the lug defect automatic testing method of battery core according to claim 1, it is characterised in that intake is described to be detected
The image information of battery core, includes before：
Detect the environmental light intensity around the battery core to be detected；
Judge whether the environmental light intensity exceedes default Intensity threshold；
If the environmental light intensity sends light corresponding with difference light intensity and irradiation is described to be checked not less than default Intensity threshold
Survey battery core, the difference light intensity=default Intensity threshold-environmental light intensity.
3. the lug defect automatic testing method of battery core according to claim 1, it is characterised in that judge described to be detected
The lug of battery core whether there is defect, further include afterwards：
If the battery core existing defects to be detected, defect battery core lay-down location is transferred to by the battery core to be detected.
4. the lug defect automatic testing method of battery core according to claim 1, it is characterised in that lacked using default lug
Inspection policies analysis described image information is fallen into, to judge that the lug of the battery core to be detected whether there is defect, including：
The boundary curve of battery core to be detected in described image information is extracted using default lug defects detection strategy, the edge is bent
Line includes positive pole ear curve and negative lug curve；
According to the positive pole ear curve and the negative lug curve, actual range between two lugs and each are obtained
Actual angle between lug and preset level line；
If the actual range is without departing from pre-determined distance threshold value and the actual angle is without departing from predetermined angle threshold value, institute is judged
Defect is not present in the lug for stating battery core to be detected；
If the actual range exceeds predetermined angle threshold value beyond pre-determined distance threshold value or the actual angle, treated described in judgement
Detect the lug existing defects of battery core.
5. the lug automatic defect detecting device of a kind of battery core, it is characterised in that it includes：
Conveyer belt, extends for transmitting battery core to be detected to predeterminated position, the predeterminated position in the shooting direction of picture pick-up device
On line；
Picture pick-up device, for absorbing the image information of the battery core to be detected；
Processor, for using default lug defects detection analysis of strategies described image information, to judge the battery core to be detected
Lug whether there is defect, the processor is electrically connected with the picture pick-up device, the conveyer belt respectively；
The conveyer belt, if being additionally operable to the battery core to be detected is not present defect, the battery core to be detected is transmitted to next
A station.
6. the lug automatic defect detecting device of battery core according to claim 5, it is characterised in that it is further included：
Light-intensity test sensor, for detecting the environmental light intensity around the battery core to be detected；
The processor, is additionally operable to judge whether the environmental light intensity exceedes default Intensity threshold, the processor respectively with institute
State light-intensity test sensor, light source module is electrically connected；
The light source module, if being sent corresponding with difference light intensity not less than default Intensity threshold for the environmental light intensity
Light and the irradiation battery core to be detected, the difference light intensity=default Intensity threshold-environmental light intensity.
7. the lug automatic defect detecting device of battery core according to claim 5, it is characterised in that it is further included：
Defect battery core transfer mechanism, if for the battery core existing defects to be detected, the battery core to be detected is transferred to scarce
Fall into battery core lay-down location.
8. the lug automatic defect detecting device of battery core according to claim 7, it is characterised in that the defect battery core is moved
Mechanism is sent, including：
Clamping components, for clamping the battery core of existing defects；
Drive component, for driving the clamping components, is moved, so that described up and/or down relative to the conveyer belt
The battery core of existing defects leaves the conveyer belt.
9. the lug automatic defect detecting device of battery core according to claim 8, it is characterised in that on the clamping components
Equipped with multiple suckers.
10. the lug automatic defect detecting device of battery core according to claim 5, it is characterised in that the processor bag
Include：
Boundary curve extraction module, for using battery core to be detected in default lug defects detection strategy extraction described image information
Boundary curve, the boundary curve includes positive pole ear curve and negative lug curve；
Relevant parameter acquisition module, for according to the positive pole ear curve and the negative lug curve, obtaining two lugs
Between actual range and each lug and preset level line between actual angle；
Qualified lug determination module, if for the actual range without departing from pre-determined distance threshold value and the actual angle without departing from
Predetermined angle threshold value, then judge that defect is not present in the lug of the battery core to be detected；
Defect lug determination module, if for the actual range beyond pre-determined distance threshold value or the actual angle beyond default
Angle threshold, then judge the lug existing defects of the battery core to be detected.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201711258573.4A CN108037130B (en) | 2017-12-01 | 2017-12-01 | Automatic detection method and automatic detection device for tab defects of battery cell |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711258573.4A CN108037130B (en) | 2017-12-01 | 2017-12-01 | Automatic detection method and automatic detection device for tab defects of battery cell |
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| CN108037130A true CN108037130A (en) | 2018-05-15 |
| CN108037130B CN108037130B (en) | 2020-10-16 |
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|---|---|---|---|---|
| CN109100226A (en) * | 2018-09-05 | 2018-12-28 | 华霆（合肥）动力技术有限公司 | Welding detection device and detection method |
| CN109187547A (en) * | 2018-07-23 | 2019-01-11 | 广州超音速自动化科技股份有限公司 | Lithium battery pole ear solder joint welds broken detection method and tab welding detection system |
| CN109187546A (en) * | 2018-07-23 | 2019-01-11 | 广州超音速自动化科技股份有限公司 | Lithium battery pole ear mixes detection method and tab welding detection system |
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| CN112525917A (en) * | 2020-11-12 | 2021-03-19 | 欣旺达电动汽车电池有限公司 | Battery cell tab detection method, device and system and storage medium |
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| CN109187547A (en) * | 2018-07-23 | 2019-01-11 | 广州超音速自动化科技股份有限公司 | Lithium battery pole ear solder joint welds broken detection method and tab welding detection system |
| CN109187546A (en) * | 2018-07-23 | 2019-01-11 | 广州超音速自动化科技股份有限公司 | Lithium battery pole ear mixes detection method and tab welding detection system |
| CN109100226B (en) * | 2018-09-05 | 2021-04-02 | 华霆（合肥）动力技术有限公司 | Welding detection device and detection method |
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| CN111261825B (en) * | 2020-01-24 | 2023-03-21 | 苏州杰锐思智能科技股份有限公司 | Method and equipment for regulating and controlling angle deviation of positive and negative electrode tabs |
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| CN112525917A (en) * | 2020-11-12 | 2021-03-19 | 欣旺达电动汽车电池有限公司 | Battery cell tab detection method, device and system and storage medium |
| CN113222900A (en) * | 2021-04-16 | 2021-08-06 | 深圳市安仕新能源科技有限公司 | Pole lug polarity detection method and detection device, terminal equipment and storage medium |
| CN113618356A (en) * | 2021-08-04 | 2021-11-09 | 深圳市亚锐智能科技有限公司 | Based on aluminium utmost point ear multilayer interpolation piece intelligent sample check out test set |
| CN113820333A (en) * | 2021-09-16 | 2021-12-21 | 无锡先导智能装备股份有限公司 | Battery pole piece abnormity detection method and device, upper computer and detection system |
| CN113820333B (en) * | 2021-09-16 | 2024-06-07 | 无锡先导智能装备股份有限公司 | Battery pole piece abnormality detection method, device, upper computer and detection system |
| CN114923428A (en) * | 2022-03-08 | 2022-08-19 | 广州超音速自动化科技股份有限公司 | Battery cell tab margin detection equipment and detection method |
| WO2023197117A1 (en) * | 2022-04-11 | 2023-10-19 | 宁德时代新能源科技股份有限公司 | Measurement method and apparatus for tab |
| CN115829921A (en) * | 2022-09-16 | 2023-03-21 | 宁德时代新能源科技股份有限公司 | Method and device for detecting battery cell defects and computer-readable storage medium |
| CN115829921B (en) * | 2022-09-16 | 2024-01-05 | 宁德时代新能源科技股份有限公司 | Method, apparatus and computer readable storage medium for detecting cell defects |
| CN117781914A (en) * | 2024-02-28 | 2024-03-29 | 宁德时代新能源科技股份有限公司 | Tab dislocation detection system and method |
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