CN111416142B - Correction method and device for battery cell, correction control equipment and correction system - Google Patents
Correction method and device for battery cell, correction control equipment and correction system Download PDFInfo
- Publication number
- CN111416142B CN111416142B CN202010248910.7A CN202010248910A CN111416142B CN 111416142 B CN111416142 B CN 111416142B CN 202010248910 A CN202010248910 A CN 202010248910A CN 111416142 B CN111416142 B CN 111416142B
- Authority
- CN
- China
- Prior art keywords
- detection object
- distance parameters
- deviation
- floating range
- battery cell
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/04—Construction or manufacture in general
- H01M10/0404—Machines for assembling batteries
- H01M10/0409—Machines for assembling batteries for cells with wound electrodes
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/04—Construction or manufacture in general
- H01M10/0431—Cells with wound or folded electrodes
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M6/00—Primary cells; Manufacture thereof
- H01M6/005—Devices for making primary cells
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P70/00—Climate change mitigation technologies in the production process for final industrial or consumer products
- Y02P70/50—Manufacturing or production processes characterised by the final manufactured product
Abstract
The embodiment of the application provides a deviation rectifying method and device for a battery cell, deviation rectifying control equipment and a deviation rectifying system, wherein the method comprises the following steps: acquiring a plurality of detection images obtained by respectively acquiring images of the battery cell in the winding process under respective fixed visual fields by a plurality of image acquisition devices; according to the multiple detection images, multiple first distance parameters/multiple second distance parameters between a detection object of the battery cell wound to the first edge/the second edge of each layer and the first datum line/the second datum line are obtained, and the detection object comprises an anode sheet, a cathode sheet or a diaphragm; calculating an edge change parameter of the detection object when the data amount meeting the first floating range/the second floating range among the plurality of first distance parameters/second distance parameters reaches a set proportion; and comparing the edge change parameters with the pre-obtained deviation correction reference to obtain the deviation correction amount of the detection object, wherein the deviation correction amount of the detection object is used for providing the deviation correction amount for the execution mechanism to correct the deviation of the next electric core.
Description
Technical Field
The application relates to the technical field of product processing control, in particular to a deviation rectifying method and device for a battery cell, deviation rectifying control equipment and a deviation rectifying system.
Background
And the battery core is an important component of the battery. In the processing and production link of the battery cell, the anode sheet, the diaphragm and the cathode sheet are wound on the winding needle. And with the progress of the winding process, obtaining the battery cell with the thickness increasing continuously. However, in the actual production process, it is difficult to ensure that the wound materials such as the anode sheet, the cathode sheet, and the separator of each cell are always aligned, and the wound materials such as the anode sheet, the separator, and the cathode sheet are easily misaligned in the production process of the cell. And when the dislocation quantity exceeds a certain range, the use safety of the battery is affected.
Disclosure of Invention
The application aims to provide a deviation rectifying method and device for a battery cell, deviation rectifying control equipment and a deviation rectifying system, which can solve the problem that in the prior art, the product quality is influenced because the battery cell cannot be rectified in time.
In a first aspect, an embodiment of the present application provides a deviation rectifying method for a battery cell, where the method includes:
in the winding process of the battery cell, acquiring a plurality of detection images obtained by respectively acquiring images of the battery cell under respective fixed visual fields by a plurality of image acquisition devices;
according to the multiple detection images, obtaining multiple first distance parameters between a first edge of the battery cell wound to each layer and a first reference line and multiple second distance parameters between a second edge of the battery cell wound to each layer and a second reference line, wherein the detection object comprises an anode sheet, a cathode sheet or a diaphragm;
calculating an edge variation parameter of the detection object when the data volume meeting a first floating range reaches a set proportion in the first distance parameters and the data volume meeting a second floating range reaches the set proportion in the second distance parameters, wherein the first floating range and the second floating range are respectively determined according to all first distance parameters and all second distance parameters of the detection object under all layers;
and comparing the edge change parameters of the detection object with a pre-obtained deviation correction reference to obtain the deviation correction amount of the detection object, wherein the deviation correction amount of the detection object is used for providing the deviation correction amount for an execution mechanism to correct the deviation of the next battery cell.
In the method, the winding process of the battery cell is monitored, a plurality of first distance parameters and a plurality of second distance parameters are obtained according to a plurality of detection images collected in the winding process, and the deviation condition of detection objects such as the anode sheet, the cathode sheet or the diaphragm along with the winding process is obtained through analysis of the plurality of first distance parameters and the plurality of second distance parameters. When the two distance parameters both meet the respective floating ranges and the data quantity meeting the floating ranges reaches the set proportion, the distribution conditions of the two distance parameters are normal, then the edge change parameter of the detection object in the current winding process of the battery cell can be calculated, and the edge change parameter is compared with the deviation correction reference of the detection object, so that the deviation correction quantity can be obtained. After the deviation correction amount is provided to the actuator, the next electrical core may be corrected based on the deviation correction amount. By the method, the deviation can be corrected in time aiming at the dislocation of the anode plate, the dislocation of the cathode plate and the dislocation of the diaphragm of the battery cell, the dislocation amount of the anode plate, the dislocation amount of the cathode plate and the dislocation amount of the diaphragm are reduced, and the quality of a battery cell product is improved. Compared with the mode that one-by-one inspection is carried out on one procedure after a large batch of battery cores are found to be unqualified, the method can reduce the workload of manual inspection, has higher processing efficiency, and can avoid the situation that more uncontrollable unqualified products continue to appear due to error accumulation, thereby improving the qualification rate of the products.
In an optional embodiment, before the calculating the edge variation parameter of the detection object, the method further includes:
calculating the first floating range of the detection object according to all first distance parameters of the detection object under all layers, and calculating the second floating range of the detection object according to all second distance parameters of the detection object under all layers.
Compared with a mode that a fixed interval is used as a floating range, the floating range updated along with the change of the distance parameter of each battery cell can be obtained by the implementation mode, and data concentration can be determined for the data of each battery cell in a targeted manner.
In an optional embodiment, the calculating the first floating range of the detection object according to all first distance parameters of the detection object under all layers includes:
determining a first median of all first distance parameters of the detection object under all layers;
determining the first floating range based on the first median and a set fluctuation range;
the calculating the second floating range of the detection object according to all the second distance parameters of the detection object under all the layers comprises:
determining second median numbers of all second distance parameters of the detection object under all layers;
determining the second floating range based on the second median and the set fluctuation range.
Through the implementation mode, the floating range is determined in a mode of combining the median and the set fluctuation range, and the data concentration of the battery cell is determined based on the floating range determined in the mode.
In an optional embodiment, the calculating an edge variation parameter of the detection object includes:
averaging the distance parameters in the first floating range in the plurality of first distance parameters to obtain a first average value;
averaging the distance parameters in the second floating range in the plurality of second distance parameters to obtain a second average value;
and calculating the edge variation parameter of the detection object based on the first average value and the second average value.
The implementation process provides a mode for calculating the edge change parameters of the detection object.
In an alternative embodiment, the method further comprises:
judging whether the deviation correction amount reaches a preset deviation correction threshold value or not;
and when the deviation correction amount reaches a preset deviation correction threshold value, controlling the executing mechanism to perform deviation correction operation according to the deviation correction threshold value.
Through the implementation mode, the correction control can be performed on the follow-up electric core product in a step-by-step correction mode under the condition that the correction precision of the executing mechanism is met.
In an alternative embodiment, the method further comprises:
and sending a review prompt message when the data volume in the first floating range in the plurality of first distance parameters does not reach the set proportion, or when the data volume in the second floating range in the plurality of second distance parameters does not reach the set proportion.
Through the implementation mode, when the distance parameter does not have data centralization, manual reinspection can be carried out, and invalid deviation rectification under the abnormal condition of data can be avoided to a certain extent.
In a second aspect, an embodiment of the present application provides a deviation correcting device for a battery cell, where the device includes:
the acquisition module is used for acquiring a plurality of detection images obtained by acquiring images of the battery cell by a plurality of image acquisition devices under respective fixed visual fields in the winding process of the battery cell;
the identification module is used for obtaining a plurality of first distance parameters between a first edge of a detection object of the battery cell wound to each layer and a first reference line and a plurality of second distance parameters between a second edge of the detection object wound to each layer and a second reference line according to the plurality of detection images, wherein the detection object comprises an anode sheet, a cathode sheet or a diaphragm;
the calculation module is used for calculating the edge change parameter of the detection object when the data quantity meeting a first floating range reaches a set proportion in the first distance parameters and the data quantity meeting a second floating range reaches the set proportion in the second distance parameters, and the first floating range and the second floating range are respectively determined according to all the first distance parameters and all the second distance parameters of the detection object under all layers;
the calculation module is further configured to compare the edge variation parameter of the detection object with a deviation correction reference obtained in advance to obtain a deviation correction amount of the detection object, where the deviation correction amount of the detection object is used to provide the deviation correction amount to an execution mechanism to correct a next electrical core.
The device can be used for monitoring the winding process of the battery cell, correcting the deviation of an anode sheet, a cathode sheet or a diaphragm of the battery cell in time, and improving the product percent of pass.
In a third aspect, an embodiment of the present application provides a deviation rectification control apparatus, where the deviation rectification control apparatus includes:
a memory;
a processor;
the memory has stored thereon a computer program executable by the processor, which computer program, when executed by the processor, performs the method of the first aspect as described above.
In a fourth aspect, an embodiment of the present application provides a deviation correcting system, where the system includes: the image acquisition equipment, the execution mechanism and the deviation rectification control equipment of the third aspect;
the image acquisition equipment and the execution mechanism are both connected with the deviation rectification control equipment;
the image acquisition equipment is used for acquiring images of the battery cell in the winding process under a fixed visual field and sending a plurality of acquired detection images to the deviation correction control equipment;
and the deviation rectifying control equipment is used for calculating deviation rectifying amount according to the multiple detection images and controlling the executing mechanism to rectify the next electric core according to the deviation rectifying amount.
In a fifth aspect, the present application provides a storage medium, on which a computer program executable by a processor is stored, and when the computer program is executed by the processor, the computer program performs the method of the first aspect.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a schematic diagram of a deviation correcting system according to an embodiment of the present application.
Fig. 2 is a schematic diagram of a deviation rectification control device according to an embodiment of the present application.
Fig. 3 is a flowchart of a deviation rectifying method for a battery cell according to an embodiment of the present application.
Fig. 4 is a side view of a battery cell in a winding state according to an example provided in the present application.
Fig. 5 is a schematic diagram illustrating that images of a battery cell are acquired by four cameras in an example provided by the embodiment of the present application.
Fig. 6 is a schematic position diagram of an edge line position, a reference line position, and a deviation correcting reference position of a detection object in an example provided by the embodiment of the present application.
Fig. 7 is a functional module block diagram of a deviation correcting device for a battery cell according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
Referring to fig. 1, fig. 1 is a schematic diagram of a deviation rectifying system according to an embodiment of the present disclosure.
As shown in fig. 1, the deviation correcting system includes: the image acquisition device 100, the actuator 300 and the deviation rectification control device 200. The image acquisition device 100 and the actuator 300 are both connected to the deviation rectification control device 200.
The image acquisition device 100 is configured to acquire an image of the electric core in the winding process in a fixed field of view, and send a plurality of acquired detection images to the deviation rectification control device 200. The image capturing apparatus 100 may include an industrial camera and a lens on the industrial camera, and the industrial camera captures an image of the battery cell through the lens.
And the deviation correction control equipment 200 is used for calculating deviation correction amount according to the multiple detection images and controlling the executing mechanism to correct the deviation of the next electric core according to the deviation correction amount. The deviation rectification control device 200 may be an industrial personal computer, or may be a computer having an operation processing capability and capable of communicating with the image capturing device 100 and the executing mechanism 300.
The detection object of the battery cell can comprise an anode sheet, a cathode sheet or a diaphragm.
In an application scenario, the deviation rectification system includes a plurality of image capturing devices 100, each image capturing device 100 of the plurality of image capturing devices 100 has a respective fixed field of view, and the plurality of image capturing devices 100 respectively capture images in the respective fixed field of view. The image captured by each image capturing device 100 may be sent to the rectification control device 200 for processing. The deviation correction control device 200 performs recognition and detection on each received image to obtain distance parameters of a detection object reflected in each image, analyzes and processes the distance parameters to determine whether a next electrical core needs to be corrected based on the winding condition of the current electrical core, and provides a specific deviation correction amount to the executing mechanism 300 for executing the deviation correction operation when determining that the next electrical core needs to be corrected, so that the executing mechanism 300 performs the deviation correction operation. And after the deviation rectifying operation is finished, the next battery cell product can be continuously wound and produced.
Fig. 2 is a schematic diagram of a deviation rectification control apparatus 200 according to an embodiment of the present application.
As shown in fig. 2, the deviation rectification control apparatus 200 includes: the memory 201, the processor 202 and the communication component 203 are connected directly or indirectly, so that data interaction is realized.
The Memory 201 is a storage medium, and may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 201 stores a computer program executable by the processor 202, and the computer program is executed by the processor 202 to execute the deviation rectifying method for the battery cell provided by the embodiment of the application.
The processor 202 has an operation Processing capability, and may be a Central Processing Unit (CPU), a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device (PLC), or a processor built by discrete hardware components. The processor 202 may execute the computer program stored in the memory 201, thereby implementing the methods provided by the embodiments of the present application.
The communication component 203 may include a communication bus, through which direct or indirect connection between the internal components of the deviation correction control device 200 may be achieved, and the deviation correction control device 200 may also achieve wired communication connection with the image capturing device 100 and the executing mechanism 300 through the communication bus. The communication component 203 may also include a wireless communication module, and the deviation rectification control device 200 may implement wireless communication connection with the image capturing device 100 and the actuator 300 through the wireless communication module, so as to perform wireless data transmission.
It is understood that the structure shown in fig. 2 is only an illustration, and in a specific implementation, the deviation rectification control device 200 may further have more components or have a configuration different from that shown in fig. 2, for example, the deviation rectification control device 200 may further include a display, and the display may be configured to display an image acquired by the image acquisition device 100, and may also display data such as a distance parameter and a deviation rectification amount obtained by the method for rectifying deviation of a battery cell provided in the embodiment of the present application.
Referring to fig. 3, fig. 3 is a flowchart of a deviation rectifying method for a battery cell according to an embodiment of the present disclosure. The method can be applied to deviation rectifying control equipment. The method provided by the embodiment of the present application will be described in detail with reference to the flow chart shown in fig. 3.
As shown in FIG. 3, the method may include steps S31-S37.
S31: in the winding process of the battery cell, a plurality of detection images obtained by respectively carrying out image acquisition on the battery cell under respective fixed vision fields by a plurality of image acquisition devices are obtained.
Wherein the cell is a wound cell. The image capturing device may be a Charge Coupled Device (CCD).
S33: according to the multiple detection images, multiple first distance parameters between a first edge of each layer wound by a detection object of the battery cell and a first reference line and multiple second distance parameters between a second edge of each layer wound by the detection object and a second reference line are obtained.
Wherein, the detection object comprises an anode sheet, a cathode sheet or a diaphragm. That is, positive pole piece, negative pole piece, diaphragm all can regard as the detection object in this application embodiment, and positive pole piece, negative pole piece, diaphragm three's the process of rectifying are independent each other.
The first reference line and the second reference line may be used as reference positions, and the first reference line and the second reference line may be virtual reference lines determined when the image capturing devices are subjected to correlation calibration. The anode sheet, cathode sheet and separator all have two opposite edge lines. The two opposite edge lines are denoted as a first edge and a second edge, and may represent a left edge and a right edge of the same detection object, respectively. The first distance may be a distance between a left edge of the detection object and the first reference line, and the second distance may be a distance between a right edge of the detection object and the second reference line. At least one pair of distance values can be detected for each revolution of the anode sheet, the cathode sheet and the diaphragm of the battery cell around the winding shaft (namely, each winding of the battery cell is increased by one layer), and each pair of distance values comprises a first distance parameter and a second distance parameter.
Along with the winding process of the battery cell, the number of layers of the battery cell is increased, the number of the acquired detection images is increased, and the number of the obtained first distance parameters and the second distance parameters is increased.
S35: the edge variation parameter of the detection object is calculated when the data amount satisfying the first floating range among the plurality of first distance parameters reaches a set ratio and the data amount satisfying the second floating range among the plurality of second distance parameters reaches the set ratio.
The first floating range and the second floating range are determined according to all first distance parameters and all second distance parameters of the detection object under all layers. When the data amount satisfying the first floating range among the plurality of first distance parameters reaches the set ratio and the data amount satisfying the second floating range among the plurality of second distance parameters reaches the set ratio, it is considered that the plurality of first distance parameters and the plurality of first distance parameters obtained in S33 all have data concentration. The set ratio may be the equivalent of 60%, 65%, 70%, 75% of the first/second distance parameter.
S37: and comparing the edge change parameters of the detection object with the pre-obtained deviation correction reference to obtain the deviation correction amount of the detection object, wherein the deviation correction amount of the detection object is used for providing the deviation correction amount for an executing mechanism to correct the deviation of the next electric core.
Taking the example where the detection target is the anode sheet, in executing S31-37, a plurality of detection images of the anode sheet of the cell during the winding process of the cell can be obtained through S31. S33 may then be performed to obtain a plurality of first distance parameters between the anode sheet wound to the first reference line and the first edge of each layer and a plurality of second distance parameters between the anode sheet wound to the second edge of each layer and the second reference line according to the plurality of detection images of the anode sheet. Then, data concentration analysis may be performed on the plurality of first distance parameters of the anode strip and the plurality of second distance parameters of the anode strip, respectively, and when the plurality of first distance parameters and the plurality of second distance parameters of the anode strip all have data concentration, an edge variation parameter of the anode strip is calculated (corresponding to S35). After comparing the edge variation parameter of the anode strip with the deviation-correcting reference of the anode strip, the deviation-correcting amount of the anode strip is obtained (corresponding to S37), and the deviation-correcting amount is used for correcting the deviation of the anode strip of the next cell.
It can be understood that the above implementation process can also be used for rectifying deviation of the cathode sheet and the diaphragm. For example, multiple sets of detection images of the anode strip, the cathode strip and the separator of one cell can be obtained through S31, multiple first distance parameters of the anode strip, multiple first distance parameters of the cathode strip, multiple first distance parameters of the separator, multiple second distance parameters of the anode strip, multiple second distance parameters of the cathode strip and multiple second distance parameters of the separator are determined through S33, and an edge variation parameter of the anode strip, an edge variation parameter of the cathode strip and an edge variation parameter of the separator are calculated through S35. After the edge variation parameters of the anode sheet, the edge variation parameters of the cathode sheet and the edge variation parameters of the diaphragm are respectively compared with the deviation-correcting reference parameters of the anode sheet, the deviation-correcting reference parameters of the cathode sheet and the deviation-correcting reference parameters of the diaphragm through S37, the deviation-correcting amount of the anode sheet, the deviation-correcting amount of the cathode sheet and the deviation-correcting amount of the diaphragm are obtained, so that the calculated deviation-correcting amount of the anode sheet, the calculated deviation-correcting amount of the cathode sheet and the calculated deviation-correcting amount of the diaphragm can be used for correcting the anode sheet, the cathode sheet and the diaphragm of the next cell.
In the method of S31-S37, the winding process of the battery cell is monitored, the plurality of first distance parameters and the plurality of second distance parameters are obtained from the plurality of detection images acquired in the winding process, and the deviation of the detection objects, such as the anode sheet, the cathode sheet, or the separator, occurring along with the winding process is known through analysis of the plurality of first distance parameters and the plurality of second distance parameters. When the two distance parameters both meet the respective floating ranges and the data quantity meeting the floating ranges reaches the set proportion, the distribution conditions of the two distance parameters are normal, then the edge change parameter of the detection object in the current winding process of the battery cell can be calculated, and the edge change parameter is compared with the deviation correction reference of the detection object, so that the deviation correction quantity can be obtained. After the deviation correction amount is provided to the actuator, the next electrical core may be corrected based on the deviation correction amount. By the method, the deviation can be corrected in time aiming at the dislocation of the anode plate, the dislocation of the cathode plate and the dislocation of the diaphragm of the battery cell, the dislocation amount of the anode plate, the dislocation amount of the cathode plate and the dislocation amount of the diaphragm are reduced, and the quality of a battery cell product is improved. Compared with the mode that one-by-one inspection is carried out on one procedure after a large batch of battery cores are found to be unqualified, the method can reduce the workload of manual inspection, has higher processing efficiency, and can avoid the situation that more uncontrollable unqualified products continue to appear due to error accumulation, thereby improving the qualification rate of the products.
The above-mentioned method of S31-S37 will be described in detail with reference to examples.
Fig. 4 shows a side view of a cell in a wound state in one example. As shown in fig. 4, the material wound around the cell winding needle M includes an anode sheet T1, a cathode sheet T2, and a separator T3. The separator T3 is used to provide isolation between the anode sheet T1 and the cathode sheet T2. Before the cell winding needle M starts to rotate, the anode sheet T1, the cathode sheet T2, and the separator T3 may be clamped in the slit of the cell winding needle M (rectangular area in fig. 4) according to the layout of fig. 4 to fix the wound materials of the anode sheet T1, the cathode sheet T2, and the separator T3, and then the wound materials of the anode sheet T1, the cathode sheet T2, and the separator T3 are wound on the cell winding needle M along with the rotation of the cell winding needle M, thereby forming the surfaces of the layers of the cell. In fig. 4, "B1", "B2", and "B3" are positions where the cell is wound in different layers.
In the implementation process of S31, as the cell winding process proceeds, the image capture device may capture images of the cells from a specified direction (e.g., a direction indicated by "P" in fig. 4) to obtain detection images of the cells at each layer.
As one implementation, the processor in the deviation control device may be a Programmable Logic Controller (PLC). The deviation correction control equipment (or PLC) judges whether a motor driving the battery cell winding needle to rotate rotates by a set angle or not, so that whether a camera is triggered to take a picture or not is determined. For example, when it is detected that the cell winding needle rotates by 180 degrees every time, the programmable logic controller outputs a level signal to trigger the four cameras to take pictures.
Fig. 5 is a schematic diagram illustrating image acquisition of a cell by four cameras in one example. For convenience of description, the four cameras are respectively referred to as a first camera CCD1, a second camera CCD2, a third camera CCD3, and a fourth camera CCD 4.
As shown in fig. 5, a distance d1 between the first edge of the diaphragm T3 and the first reference line K1 and a distance d2 between the first edge of the anode sheet T1 and the first reference line K1 may be obtained from the inspection image of the first camera CCD 1; the distance d5 between the second edge of the layer of diaphragm T3 and the second reference line K2 and the distance d6 between the second edge of the anode sheet T1 and the second reference line K2 can be obtained through the detection image of the third camera CCD 3. The distance d3 between the first edge of the diaphragm T3 and the first reference line K1 and the distance d4 between the first edge of the cathode sheet T2 and the first reference line K1 can be obtained through the detection image of the second camera CCD 2; the distance d7 between the second edge of the diaphragm T3 and the second reference line K2 and the distance d8 between the second edge of the cathode sheet T2 and the second reference line K2 are obtained from the detection image of the fourth camera CCD 4.
Assuming that the cell needs to be wound by n layers, and image acquisition is performed once every 180 degrees, each image acquisition device can obtain 2n detection images. After 4 x 2n detection images of the four cameras are detected and identified, 2n d 1-d 8 can be obtained.
In other examples, in consideration of the cost of the device, other numbers of image acquisition devices may be used to acquire images, for example, one or two cameras with a larger field of view may be used to acquire images of the battery cell, so that the same detection image can reflect distance parameters of multiple positions. In order to ensure the detection accuracy, the present example will be described by taking 2n d1 to d8 obtained by four cameras as an example.
Since the deviation rectification of the anode strip, the cathode strip and the diaphragm is not interfered with each other, when the anode strip is used as a detection object for deviation rectification, 2n d2 can be used as the plurality of first distance parameters in the step S33, and 2n d6 can be used as the plurality of second distance parameters in the step S33, so that the method of S33-S37 is executed based on 2n d2 and 2n d6, so as to rectify the deviation of the anode strip of the next cell.
When the cathode slice is used as the detection object for deviation rectification, 2n d4 and 2n d8 may be respectively used as the first distance parameters and the second distance parameters in the step S33, so that the method of S33-S37 may be performed based on 2n d4 and 2n d8 to rectify the deviation of the cathode slice of the next cell.
Similarly, when the diaphragm is used as the detection object for deviation correction, 2n d3 and 2n d7 may be respectively used as the plurality of first distance parameters and the plurality of second distance parameters in the step S33 to correct the deviation of the diaphragm of the next cell, and 2n d1 and 2n d5 may be respectively used as the plurality of first distance parameters and the plurality of second distance parameters in the step S33 to correct the deviation of another diaphragm of the next cell.
As an implementation manner, for the same type of detection object (anode sheet or cathode sheet or diaphragm), after determining a plurality of first distance parameters and a plurality of second distance parameters, the data concentration of the plurality of first distance parameters and the data concentration of the plurality of second distance parameters may be detected. When the values of these distance parameters are more concentrated, the obtained distance parameters may be considered to be valid, and S35 may be performed to calculate the edge variation parameter of the detection object.
Therefore, before performing S35, based on the plurality of first distance parameters and the plurality of second distance parameters obtained in S33, S34 may be performed to determine whether the selected distance parameters have data concentration.
S34: and judging whether the data volume in the first floating range in the plurality of first distance parameters reaches a set proportion or not, and judging whether the data volume in the second floating range in the plurality of second distance parameters reaches the set proportion or not.
The first floating range is calculated according to all the first distance parameters of the detection object under all the layers, and the second floating range is calculated according to all the second distance parameters of the detection object under all the layers.
When it is determined through S34 that the data amount satisfying the first floating range among the plurality of first distance parameters reaches the set ratio, and the data amount satisfying the second floating range among the plurality of second distance parameters reaches the set ratio, S35 is performed to calculate an edge variation parameter of the detection object.
When it is determined through S34 that the amount of data within the first floating range among the plurality of first distance parameters does not reach the set ratio, or the amount of data within the second floating range among the plurality of second distance parameters does not reach the set ratio, it is considered that the plurality of first distance parameters or the plurality of second distance parameters for the same detection object do not have data concentration, and data is abnormal, and at this time, review prompt information may be issued. That is, when the data centralization is not available, the correction is not performed, but the reinspection prompt information is sent out so that the current electric core is artificially subjected to reinspection after being wound, and therefore invalid correction can be avoided under the abnormal data condition to a certain extent.
In one example, for 2n first distance parameters and 2n second distance parameters, the calculated first floating range is denoted as f1 ± e mm, the calculated second floating range is denoted as f2 ± e mm, and the set ratio is 60% (which may be the same as 65%, 70%, 75%). If the data amount in the floating range of f1 ± e of the 2n first distance parameters reaches 2n × 60%, the 2n first distance parameters may be considered to have data concentration, and if the data amount in the floating range of f2 ± e of the 2n second distance parameters reaches 2n × 60%, the 2n second distance parameters may be considered to have data concentration. When the 2n first distance parameters and the 2n second distance parameters have data concentration, the edge variation parameter of the detection object may be calculated based on the 2n first distance parameters and the 2n second distance parameters. Based on the principle, the data concentration of any one of the 2n distance parameters d 1-d 8 can be respectively judged, so that the edge change parameter of the anode sheet, the edge change parameter of the cathode sheet and the edge change parameter of the diaphragm can be respectively calculated.
As an implementation, the process of calculating the first floating range of the detection object according to all the first distance parameters of the detection object under all the layers may include sub-steps S341 to S342, and the process of calculating the second floating range of the detection object according to all the second distance parameters of the detection object under all the layers may include sub-steps S343 to S344.
S341: determining a first median among all first distance parameters of the detection object under all layers.
S342: a first floating range is determined based on the first median and the set fluctuation range.
S343: and determining a second median of all second distance parameters of the detected object under all layers.
S344: and determining a second floating range based on the second median and the set fluctuation range.
Wherein the set fluctuation range may be ± 0.1 mm, the first floating range may be expressed as (first median ± 0.1 mm), and the second floating range may be expressed as (second median ± 0.1 mm). It is understood that in other embodiments, the fluctuation range may be other ranges, such as ± 0.15 mm, ± 0.2 mm, ± 0.3 mm, etc.
Taking the distance parameters in fig. 5 as an example, when the anode strip is taken as the detection object, the 2n d2 may be sorted, and the median d2 'of the 2n d2 is determined as the first median, and the 2n d6 is sorted, and the median d 6' of the 2n d6 is determined as the second median. When the data amount in the first floating range (d2 '± 0.1 mm) of the 2n d2 reaches 2n × 60%, and the data amount in the second floating range (d 6' ± 0.1 mm) of the 2n d6 reaches 2n × 60%, the edge variation parameter of the anode sheet may be calculated
When the 2n d2 or 2n d6 have no data concentration, a review prompt may be issued to notify the user to perform a manual review.
Based on the same principle, when the diaphragm is used as a detection object, a first median d3 'and a second median d 7' suitable for diaphragm deviation correction can be obtained based on 2n d3 and 2n d7, and the corresponding first floating range and the corresponding second floating range are d3 '± 0.1 mm and d 7' ± 0.1 mm respectively. When the cathode plate is taken as a detection object, a first median d4 'and a second median d 8' suitable for cathode plate deviation correction can be obtained based on 2n d4 and 2n d8, and the corresponding first floating range and the corresponding second floating range are d4 '+/-0.1 mm and d 8' +/-0.1 mm respectively.
Through the implementation manner of S341 to S344, the first floating range and the second floating range under the current winding condition can be obtained according to the actual winding condition of the current battery cell, so that whether the distance parameter in the current winding state has data concentration can be conveniently determined. When the device has data centralization, the deviation rectifying amount of a detection object can be further calculated, and when the device does not have data centralization, the device can manually adopt quadratic element equipment to perform recheck after the winding process of the current battery core is finished.
As an implementation manner of the above S35, the process of calculating the edge variation parameter of the detected object in the above S35 may include sub-steps S351-S353.
S351: and averaging the distance parameters in the first floating range in the plurality of first distance parameters to obtain a first average value.
S352: and averaging the distance parameters in the second floating range in the plurality of second distance parameters to obtain a second average value.
S353: and calculating the edge variation parameter of the detection object based on the first average value and the second average value.
In one example, if the data amount in the first floating range exceeds 12 (i.e., 20 × 60%) among the 20 first distance parameters and the data amount in the first floating range reaches 16 (i.e., 20 × 80%), the 16 first distance parameters in the first floating range may be averaged to obtain an average value of the 16 first distance parameters as the first average value. The second average value may be calculated with reference to the first average value.
The edge variation parameter of the detection object can be expressed as: the difference average value between the first average value and the second average value is: the edge variation parameter is (first average value-second average value)/2.
For 2n d 1-d 8, the implementation manner of S351-S353 can be adopted, and the average value is calculated based on the distance parameters in the corresponding floating range
When the anode sheet is used as the detection object, the first average value can be calculated according to a plurality of first distance parameters within the first floating range of (d 2' + -0.1 mm)
A second average value can be calculated according to a plurality of second distance parameters within the second floating range (d 6' + -0.1 mm)
Edge variation parameter of anode sheet
When the cathode sheet is used as the detection object, the first average value can be calculated according to a plurality of first distance parameters within the first floating range of (d 4' + -0.1 mm)
A second average value can be calculated according to a plurality of second distance parameters within the second floating range (d 8' + -0.1 mm)
Edge variation parameter of cathode plate
When the diaphragm is used as the detection object, a first average value can be calculated according to a plurality of first distance parameters within the first floating range of (d 3' + -0.1 mm)
A second average value can be calculated according to a plurality of second distance parameters within the second floating range (d 7' + -0.1 mm)
Edge variation parameter of diaphragm
Regarding the above S37, the parameters are changed by changing the edge of the anode sheet
And comparing the deviation correction reference parameter Ac of the anode sheet to obtain the deviation correction amount A' of the anode sheet. By varying the parameters of the edge of the cathode plate
The correction of the cathode plate can be obtained by comparing the correction reference parameter Cc of the cathode plate with the correction reference parameter Cc of the cathode plateOffset C'. By varying the parameters of the edges of the diaphragm
And comparing the deviation correction reference parameter Sc with the diaphragm to obtain the deviation correction amount S' of the cathode sheet.
The deviation correction reference parameters Ac, Cc, Sc may be reference parameters determined by performing statistics and averaging on the results of multiple tests according to multiple winding tests before formal production.
The deviation correcting reference parameter of the detection object can be used for representing the distance between the deviation correcting reference position of the detection object and the first reference line K1. Taking the position diagram shown in fig. 6 as an example, since the first reference line K1 and the second reference line K2 are reference positions, the distance L between the first reference line K1 and the second reference line K2 can be regarded as a priori value.
Let the deviation-correcting reference of the detected object be (X1-X2)/2, X1 (not shown) be the distance between the first edge of the detected object when deviation correction is not needed and the first reference line K1, and X2 (not shown) be the distance between the second edge of the detected object when deviation correction is not needed and the second reference line K2, the distance between the deviation-correcting reference position of the detected object and the first reference line K1 can be expressed as: (L-X2-X1)/2+ X1 ═ L/2-X2/2-X1/2+ X1 ═ L/2-X2/2+ X1/2 ═ (X1-X2)/2+ L/2 ═ deviation correction reference + L/2 of the detection object. Based on this principle, the distance of the deviation correcting reference position Ac0 of the anode sheet with respect to the first reference line K1 can be expressed as: ac0 is the deviation correction reference parameter Ac + L/2 of the anode sheet, and the distance of the deviation correction reference position Cc0 of the cathode sheet relative to the first reference line K1 can be expressed as: cc0 is the deviation correction reference parameter Cc + L/2 of the cathode sheet, and the distance of the deviation correction reference position Sc0 of the diaphragm relative to the first reference line K1 can be expressed as: and Sc0 is the deviation correcting reference parameter Sc + L/2 of the diaphragm.
Taking the deviation correction calculation of the anode sheet as an example, in the production process of the battery core, the center line position a1 of the anode sheet can be expressed as: a1 ═ edge variation parameter
When calculating the deviation correction amount A' of the anode sheet,comparing the distance between the center line position A1 of the anode sheet and the deviation-correcting reference position Ac0 of the anode sheet with respect to the first reference line K1, since both parameters A1 and Ac0 have the term of "+ L/2", the difference between A1 and Ac0 results in: the deviation correction amount A' of the anode sheet is A1-Ac0 (edge variation parameter of the anode sheet)
) - (deviation correcting reference Ac + L/2 of anode sheet) ═ edge variation parameter of anode sheet
-a deviation correction reference Ac for the anode sheet. Therefore, when S37 is actually executed to calculate the correction amount, the correction amount can be calculated without acquiring or measuring the actual L, and only the edge variation parameter of the detection object needs to be compared with the correction reference obtained in advance.
Based on the principle, when the deviation correction amount C 'of the cathode sheet and the deviation correction amount S' of the diaphragm are calculated, the distance L between the two reference lines (K1 and K2) does not need to be obtained or measured, the deviation correction amount C 'of the cathode sheet can be obtained only by comparing the edge change parameter of the cathode sheet with the deviation correction reference of the cathode sheet, and the deviation correction amount S' of the diaphragm can be obtained only by comparing the edge change parameter of the diaphragm with the deviation correction reference of the diaphragm.
Through the implementation mode, the deviation rectifying amount with higher reliability can be obtained, and the deviation can be timely rectified when the dislocation phenomenon occurs, so that the quality of subsequent electric core products is improved.
Optionally, the method may further include steps S38-S39 based on the correction amount calculated through S37.
S38: and judging whether the deviation correction amount reaches a preset deviation correction threshold value or not.
S39: and when the deviation correcting amount reaches a preset deviation correcting threshold value, controlling the executing mechanism to perform deviation correcting operation according to the deviation correcting threshold value.
The deviation correction threshold value is related to the deviation correction precision allowed by the deviation correction mechanism, and is smaller than the absolute value of the fluctuation range. Still taking the fluctuation range of ± 0.1 mm as an example, the deviation threshold may be less than 0.1 mm, for example, the deviation threshold may be 0.02, 0.04, 0.05, 0.07 mm, etc.
In one example, the fluctuation range adopted when determining the first floating range and the second floating range is ± 0.1 mm, and the set deviation rectifying threshold is 0.05 mm, the deviation rectifying amount obtained in S37 is compared with 0.05 mm, and if the deviation rectifying amount calculated in S37 is less than 0.05 mm, the deviation rectifying amount is considered to be too small, and the deviation rectifying is not involved at this time. If the deviation correction amount calculated in S37 is greater than or equal to 0.05 mm, since the data has already been judged to be ± 0.1 mm when the edge detection range of the detection object is calculated, and it is considered that there may be deviation of the detection object caused by other influence factors that are not known temporarily, when the deviation correction amount calculated in S37 is greater than 0.05 mm, the deviation correction of the detection object of the next cell is 0.05 mm. That is, when the deviation correction amount is greater than 0.05 mm, the deviation correction can be performed only by 0.05 mm. Therefore, the follow-up cell can be subjected to closed-loop deviation correction in a gradual deviation correction mode under the condition of meeting the deviation correction precision of the executing mechanism.
In conclusion, the method can combine real-time visual detection with a programmable control mode, realize deviation rectification control on the battery cell, improve the dislocation phenomenon of the cathode and the anode of the battery cell, avoid the dislocation quantity of the cathode and the anode from exceeding the range as much as possible, improve the quality of the battery cell and the battery, and improve the use safety of the battery cell and the battery product.
Based on the same inventive concept, please refer to fig. 7, an embodiment of the present application further provides a deviation rectifying device 400 for a battery cell. Fig. 7 is a functional block diagram of the deviation rectifying device 400 for a battery cell.
As shown in fig. 7, the apparatus includes: an acquisition module 401, an identification module 402, and a calculation module 403.
The acquiring module 401 is configured to acquire, in a winding process of the battery cell, a plurality of detection images obtained by respectively acquiring images of the battery cell by a plurality of image acquisition devices in respective fixed views.
The identification module 402 is configured to obtain, according to the multiple detection images, multiple first distance parameters between a first edge of a detection object of the battery cell wound to each layer and a first reference line, and multiple second distance parameters between a second edge of the detection object wound to each layer and a second reference line, where the detection object includes an anode sheet, a cathode sheet, or a separator.
The calculating module 403 is configured to calculate an edge variation parameter of the detected object when the data amount meeting the first floating range reaches a set ratio among the plurality of first distance parameters and the data amount meeting the second floating range reaches the set ratio among the plurality of second distance parameters, where the first floating range and the second floating range are determined according to all the first distance parameters and all the second distance parameters of the detected object under all layers, respectively.
The calculating module 403 is further configured to compare the edge variation parameter of the detected object with a deviation-correcting reference obtained in advance, so as to obtain a deviation-correcting amount of the detected object, where the deviation-correcting amount of the detected object is used to provide the deviation-correcting amount to an executing mechanism to correct a next electrical core.
The deviation rectifying method of the battery cell can be executed through the device, the anode sheet, the cathode sheet or the diaphragm of the battery cell can be timely rectified by monitoring the winding process of the battery cell, and the product percent of pass is improved.
Optionally, the calculation module 403 may be further configured to: calculating the first floating range of the detection object according to all first distance parameters of the detection object under all layers, and calculating the second floating range of the detection object according to all second distance parameters of the detection object under all layers.
Optionally, the calculation module 403 may be further configured to: determining a first median of all first distance parameters of the detection object under all layers; determining the first floating range based on the first median and a set fluctuation range; determining second median numbers of all second distance parameters of the detection object under all layers; determining the second floating range based on the second median and the set fluctuation range.
Optionally, the calculation module 403 may be further configured to: averaging the distance parameters in the first floating range in the plurality of first distance parameters to obtain a first average value; averaging the distance parameters in the second floating range in the plurality of second distance parameters to obtain a second average value; and calculating the edge variation parameter of the detection object based on the first average value and the second average value.
Optionally, the apparatus may further comprise: an execution module, the execution module operable to: judging whether the deviation correction amount reaches a preset deviation correction threshold value or not; and when the deviation correction amount reaches a preset deviation correction threshold value, controlling the executing mechanism to perform deviation correction operation according to the deviation correction threshold value.
For other details of the deviation rectifying device 400 for a battery cell provided in the embodiment of the present application, please refer to the related description of the deviation rectifying method for a battery cell, which is not described herein again.
In addition to the above embodiments, the present application also provides a storage medium, which stores a computer program executable by a processor, and the computer program executes the foregoing method when executed by the processor.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, a module may be divided into only one logical function, and may be implemented in other ways, and for example, a plurality of units or components may be combined or integrated into another system. In addition, the connections discussed above may be indirect couplings or communication connections between devices or units through some communication interfaces, and may be electrical, mechanical or other forms.
In addition, units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
Furthermore, the functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
It should be noted that the functions, if implemented in the form of software functional modules and sold or used as independent products, may be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application, or portions thereof, which substantially or substantially contribute to the prior art, may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device to perform all or part of the steps of the methods of the embodiments of the present application.
In this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
The above embodiments are merely examples of the present application and are not intended to limit the scope of the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (9)
1. A deviation rectifying method for a battery cell is characterized by comprising the following steps:
in the winding process of the battery cell, acquiring a plurality of detection images obtained by respectively acquiring images of the battery cell under respective fixed visual fields by a plurality of image acquisition devices;
according to the multiple detection images, obtaining multiple first distance parameters between a first edge of the battery cell wound to each layer and a first reference line and multiple second distance parameters between a second edge of the battery cell wound to each layer and a second reference line, wherein the detection object comprises an anode sheet, a cathode sheet or a diaphragm;
calculating an edge variation parameter of the detection object when the data volume meeting a first floating range reaches a set proportion in the first distance parameters and the data volume meeting a second floating range reaches the set proportion in the second distance parameters, wherein the first floating range and the second floating range are respectively determined according to all first distance parameters and all second distance parameters of the detection object under all layers;
comparing the edge change parameters of the detection object with a pre-obtained deviation correction reference to obtain deviation correction amount of the detection object, wherein the deviation correction amount of the detection object is used for providing the deviation correction amount for an execution mechanism to correct the deviation of the next battery cell;
the calculating the edge variation parameter of the detection object comprises the following steps:
averaging the distance parameters in the first floating range in the plurality of first distance parameters to obtain a first average value;
averaging the distance parameters in the second floating range in the plurality of second distance parameters to obtain a second average value;
and calculating the edge variation parameter of the detection object based on the first average value and the second average value.
2. The method of claim 1, wherein prior to said calculating an edge variation parameter of the detected object, the method further comprises:
calculating the first floating range of the detection object according to all first distance parameters of the detection object under all layers, and calculating the second floating range of the detection object according to all second distance parameters of the detection object under all layers.
3. The method of claim 2, wherein said calculating the first floating range of the detection object according to all first distance parameters of the detection object under all layers comprises:
determining a first median of all first distance parameters of the detection object under all layers;
determining the first floating range based on the first median and a set fluctuation range;
the calculating the second floating range of the detection object according to all the second distance parameters of the detection object under all the layers comprises:
determining second median numbers of all second distance parameters of the detection object under all layers;
determining the second floating range based on the second median and the set fluctuation range.
4. The method of claim 1, further comprising:
judging whether the deviation correction amount reaches a preset deviation correction threshold value or not;
and when the deviation correction amount reaches a preset deviation correction threshold value, controlling the executing mechanism to perform deviation correction operation according to the deviation correction threshold value.
5. The method of claim 1, further comprising:
and sending a review prompt message when the data volume in the first floating range in the plurality of first distance parameters does not reach the set proportion, or when the data volume in the second floating range in the plurality of second distance parameters does not reach the set proportion.
6. A deviation correcting device of a battery cell is characterized in that the device comprises:
the acquisition module is used for acquiring a plurality of detection images obtained by acquiring images of the battery cell by a plurality of image acquisition devices under respective fixed visual fields in the winding process of the battery cell;
the identification module is used for obtaining a plurality of first distance parameters between a first edge of a detection object of the battery cell wound to each layer and a first reference line and a plurality of second distance parameters between a second edge of the detection object wound to each layer and a second reference line according to the plurality of detection images, wherein the detection object comprises an anode sheet, a cathode sheet or a diaphragm;
the calculation module is used for calculating the edge change parameter of the detection object when the data quantity meeting a first floating range reaches a set proportion in the first distance parameters and the data quantity meeting a second floating range reaches the set proportion in the second distance parameters, and the first floating range and the second floating range are respectively determined according to all the first distance parameters and all the second distance parameters of the detection object under all layers;
the calculation module is further configured to compare the edge variation parameter of the detection object with a deviation correction reference obtained in advance to obtain a deviation correction amount of the detection object, where the deviation correction amount of the detection object is used to provide the deviation correction amount to an execution mechanism to correct a next electrical core;
the calculating the edge variation parameter of the detection object comprises the following steps:
averaging the distance parameters in the first floating range in the plurality of first distance parameters to obtain a first average value;
averaging the distance parameters in the second floating range in the plurality of second distance parameters to obtain a second average value;
and calculating the edge variation parameter of the detection object based on the first average value and the second average value.
7. A deviation rectifying control apparatus, characterized by comprising:
a memory;
a processor;
the memory has stored thereon a computer program executable by the processor, the computer program, when executed by the processor, performing the method of any of claims 1-5.
8. A deviation correcting system, the system comprising: the image acquisition equipment, the execution mechanism and the deviation rectification control equipment in claim 7;
the image acquisition equipment and the execution mechanism are both connected with the deviation rectification control equipment;
the image acquisition equipment is used for acquiring images of the battery cell in the winding process under a fixed visual field and sending a plurality of acquired detection images to the deviation correction control equipment;
and the deviation rectifying control equipment is used for calculating deviation rectifying amount according to the multiple detection images and controlling the executing mechanism to rectify the next electric core according to the deviation rectifying amount.
9. A storage medium having stored thereon a computer program executable by a processor, the computer program, when executed by the processor, performing the method of any one of claims 1-5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010248910.7A CN111416142B (en) | 2020-03-31 | 2020-03-31 | Correction method and device for battery cell, correction control equipment and correction system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010248910.7A CN111416142B (en) | 2020-03-31 | 2020-03-31 | Correction method and device for battery cell, correction control equipment and correction system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111416142A CN111416142A (en) | 2020-07-14 |
| CN111416142B true CN111416142B (en) | 2021-03-30 |
Family
ID=71493355
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010248910.7A Active CN111416142B (en) | 2020-03-31 | 2020-03-31 | Correction method and device for battery cell, correction control equipment and correction system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111416142B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP4273984A1 (en) * | 2022-05-07 | 2023-11-08 | Contemporary Amperex Technology Co., Limited | Deviation correction apparatus and winding machine |
Families Citing this family (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112286235B (en) * | 2020-10-30 | 2022-02-08 | 广东利元亨智能装备股份有限公司 | Trajectory-based control method |
| KR20230124719A (en) * | 2021-09-28 | 2023-08-25 | 컨템포러리 엠퍼렉스 테크놀로지 씨오., 리미티드 | Shift detection method and shift detection device |
| CN115808130B (en) * | 2021-10-14 | 2023-12-12 | 宁德时代新能源科技股份有限公司 | Battery cell winding calibration method and device |
| WO2023070552A1 (en) * | 2021-10-29 | 2023-05-04 | 宁德时代新能源科技股份有限公司 | Method and apparatus for testing coverage of jelly roll of battery during winding, and device |
| WO2023133690A1 (en) * | 2022-01-11 | 2023-07-20 | 宁德时代新能源科技股份有限公司 | Measurement method, measurement apparatus and measurement system for winding gap between electrode plates |
| CN117751463A (en) * | 2022-01-28 | 2024-03-22 | 宁德时代新能源科技股份有限公司 | Deviation correcting method and device for double-sided coating |
| WO2024055267A1 (en) * | 2022-09-16 | 2024-03-21 | 宁德时代新能源科技股份有限公司 | Wound cell detection method and apparatus |
| CN115872209B (en) * | 2023-01-16 | 2023-05-19 | 钛玛科（北京）工业科技有限公司 | Automatic centering CCD closed loop deviation rectifying control system |
| CN116199023B (en) * | 2023-04-27 | 2023-09-29 | 宁德时代新能源科技股份有限公司 | Control method and device for deviation correction of winding mechanism, electronic equipment and storage medium |
Family Cites Families (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH09221252A (en) * | 1996-02-16 | 1997-08-26 | Sony Corp | Travel guiding device and travel guiding method for belt-like member |
| JP4716138B2 (en) * | 2008-01-11 | 2011-07-06 | トヨタ自動車株式会社 | Electrode winding device, deviation detection method between band electrode and band separator, deviation amount measuring method, deviation amount correcting method, and electrode winding method |
| JP5901135B2 (en) * | 2011-04-07 | 2016-04-06 | 株式会社京都製作所 | Laminating apparatus and laminating method |
| CN102800886B (en) * | 2011-05-24 | 2014-09-17 | 深圳市吉阳自动化科技有限公司 | Deviation correction control method and device for pole piece winding and pole piece winding machine |
| CN102931438B (en) * | 2011-08-11 | 2016-03-02 | 深圳市吉阳自动化科技有限公司 | A kind of pole piece correction method and laminating machine |
| CN104091977B (en) * | 2014-05-06 | 2016-06-15 | 无锡日联科技股份有限公司 | The detection method of wound lithium-ion battery |
| CN104577215B (en) * | 2014-12-31 | 2017-01-04 | 深圳市赢合科技股份有限公司 | Pole piece winding method and equipment |
| CN107799831B (en) * | 2017-11-06 | 2020-08-11 | 无锡先导智能装备股份有限公司 | Method and device for determining cell datum line |
| CN107681202B (en) * | 2017-11-06 | 2023-05-12 | 无锡先导智能装备股份有限公司 | CCD feedback deviation correction closed-loop control method, control device and control system |
| CN109390636B (en) * | 2018-08-31 | 2021-06-04 | 广州超音速自动化科技股份有限公司 | Automatic winder pole piece deviation rectifying method, electronic equipment, storage medium and system |
| CN109786853B (en) * | 2018-12-28 | 2022-02-22 | 惠州锂威新能源科技有限公司 | Automatic correction method for boundary displacement of lithium battery winding layer |
| CN209626350U (en) * | 2019-03-05 | 2019-11-12 | 惠州市隆合科技有限公司 | A kind of lithium battery electric core tape sticking device of CCD correction |
-
2020
- 2020-03-31 CN CN202010248910.7A patent/CN111416142B/en active Active
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP4273984A1 (en) * | 2022-05-07 | 2023-11-08 | Contemporary Amperex Technology Co., Limited | Deviation correction apparatus and winding machine |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111416142A (en) | 2020-07-14 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111416142B (en) | Correction method and device for battery cell, correction control equipment and correction system | |
| JP5075757B2 (en) | Image processing apparatus, image processing program, image processing method, and electronic apparatus | |
| JP4653235B2 (en) | Composition of panoramic images using frame selection | |
| CN109345467B (en) | Imaging distortion correction method, imaging distortion correction device, computer equipment and storage medium | |
| CN111193072A (en) | Tab inspection and correction method and device | |
| CN110814529B (en) | Flexible circuit board laser cutting method | |
| CN113532335A (en) | CCD detection device and detection method for alignment degree of winding core of winding machine | |
| WO2022057117A1 (en) | Testing method and apparatus for picture correction, and testing system | |
| US20230271325A1 (en) | Industrial internet of things systems for monitoring collaborative robots with dual identification, control methods and storage media thereof | |
| KR20210045181A (en) | multi-type secondary battery stacking device having vision inspection | |
| CN111654677B (en) | Method and device for determining desynchronization of holder | |
| CN112616018B (en) | Stackable panoramic video real-time splicing method | |
| US20110221894A1 (en) | Image measuring apparatus | |
| CN109496326B (en) | Image processing method, device and system | |
| CN112492191B (en) | Image acquisition method, device, equipment and medium | |
| CN112653835B (en) | Method and device for judging focusing state and storage medium | |
| CN112995624B (en) | Trapezoidal error correction method and device for projector | |
| CN108684074A (en) | Distance measuring method based on RSSI and device | |
| CN113012241A (en) | Parallax detection method and device for binocular camera, electronic equipment and storage medium | |
| CN115311624B (en) | Slope displacement monitoring method and device, electronic equipment and storage medium | |
| CN115953427A (en) | Dynamic target real-time tracking method and device for small sample training | |
| CN111179180B (en) | Image correction method and device | |
| CN116684576A (en) | Fixed-focus camera definition detection method, fixed-focus camera definition detection device, computer equipment and medium | |
| CN116295189B (en) | Dam displacement monitoring method | |
| CN113269824B (en) | Image-based distance determination method and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |