CN115661040A - Lithium battery cell gluing detection method and device and electronic equipment - Google Patents
Lithium battery cell gluing detection method and device and electronic equipment Download PDFInfo
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Abstract
The invention relates to a method and a device for detecting gluing of a lithium battery cell and electronic equipment. According to the invention, a cell image of a battery module is obtained through machine vision and image processing related technologies, circumscribed circles of a full cell area and a crescent cell area are respectively calculated through a minimum circumscribed circle operator and a minimum circumscribed rectangle operator, the position of each cell in the battery module is determined through the position of the circumscribed circle, a gray variance and a gray variance mean value in each cell are obtained, a cell gluing area is obtained through a mean value segmentation method, the gluing coverage rate and the gluing distance of the cell are calculated, and finally the gluing quality of the cell of the battery module is judged according to the gluing coverage rate and the gluing distance. Compared with the traditional manual gluing quality detection, the detection efficiency and the detection stability are improved, meanwhile, the detection accuracy is improved by adopting different minimum circumscribed circles calculation methods for different forms of electric cores, and the detection normalization is ensured.
Description
Technical Field
The embodiment of the application relates to the field of lithium battery production, in particular to a method and a device for detecting gluing of a lithium battery cell and electronic equipment.
Background
With the development of microelectronic technology, lithium batteries enter a large-scale practical stage, are widely applied to various industries, and are very colorful in industries such as mobile electronic equipment, electric vehicles and the like.
The production and processing process of the lithium battery comprises a plurality of processes, and the gluing detection of the battery core of the lithium battery is an important step of the quality detection of the lithium battery. Each lithium battery module comprises a large number of battery cores, and quality detection is carried out according to a plurality of quantitative indexes such as the battery core position, the gluing distance and the gluing coverage rate of each battery core.
At present, the gluing detection of the battery core of the lithium battery is mainly carried out through manual judgment, a technician determines the gluing boundary of the battery core and the battery core through visual observation, measures the gluing length by using a specified measuring tool, estimates index values such as the gluing coverage rate of the battery core and the like, and judges whether the battery module is qualified or not according to the index values. Each technician needs to test and evaluate all the cells of the module.
The defects detected by the human are:
1. the detection efficiency is low. Each battery cell module comprises a large number of battery cells, the battery cells at different positions have different measuring and calculating indexes, and the quality judgment logics of the battery cells at different positions are different. Such a large amount of detection workload inevitably leads to low detection efficiency if the detection workload is manually completed.
2. The detection stability and accuracy are poor. The gluing length of the battery core needs to be measured by a specific measuring scale tool and a specific measuring method, the gluing boundary is judged to be different due to different detection personnel, and the working state of the same detection personnel can influence the detection result, so that the measurement result is unstable.
3. Lack of standardization. The determination mode of the gluing boundary and the calculation method of the coverage rate do not form standards, so that the manual operation normalization is not sufficient, and the popularization of a production line is not facilitated.
Disclosure of Invention
Based on the background technology, the invention provides a method, a device and electronic equipment for detecting the gluing of a lithium battery cell, wherein the defect detection is carried out on a lithium battery pole piece before entering a rolling program, and the defect position is located and recorded, so that a roll-pairing machine is stopped in time, the defect pole piece is prevented from being torn and broken during rolling, and the time for manually checking the defect position is saved.
In a first aspect, an embodiment of the present application provides a method for detecting gluing of a lithium battery cell, including the following steps:
acquiring a binary image of the surface of the battery module and extracting a module area;
extracting a cell area from the module area according to a preset gray level threshold value, wherein the cell area comprises a full cell area and a crescent cell area;
calculating the minimum circumscribed circle of each battery cell in a battery cell area, acquiring the position information and the radius of the minimum circumscribed circle, and obtaining the area of the battery cell according to the radius of the minimum circumscribed circle, wherein the minimum circumscribed circle is calculated in the full battery cell area through a minimum circumscribed circle operator, and the minimum circumscribed circle is deduced in the crescent battery cell area through a minimum circumscribed rectangle operator;
traversing the minimum circumscribed circles of the battery cells, and acquiring a gray variance and a gray variance mean value in the minimum circumscribed circle of the battery cells within the range of the minimum circumscribed circle through a preset battery cell gray threshold;
obtaining a gluing area corresponding to the battery cell through mean value segmentation according to the gray variance, wherein the boundary of the gluing area is a gluing boundary;
calculating the gluing coverage rate of the battery cell according to the ratio of the gluing area to the battery cell area;
calculating a gluing vertex through the tangent point of the gluing boundary and the minimum circumscribed rectangle of the gluing boundary, and calculating a target gluing distance according to the intersection point distance between the radial direction of the gluing vertex and the minimum circumscribed circle of the battery cell corresponding to the gluing vertex;
and judging the battery core gluing quality of the battery module according to the gluing coverage rate and the target gluing distance.
Further, the method includes the steps of calculating a minimum circumscribed circle of each battery cell in the battery cell area, and obtaining a circle center coordinate and a radius of the minimum circumscribed circle, and specifically includes the following steps:
determining the cell region larger than the pixel connected region area threshold value as the full cell region according to a preset pixel connected region area threshold value;
acquiring the position of the full cell area, and calculating the radius of the cell through a minimum circumscribed circle operator;
obtaining the position of the crescent cell area by removing the full cell area in the cell area;
and acquiring minimum external rectangle information of the crescent electricity core region through a minimum external rectangle operator, and calculating a minimum external circle of the crescent electricity core region according to the minimum external rectangle information and the electricity core radius.
Further, the method includes the following steps of calculating a minimum circumscribed circle of each battery cell in the battery cell area, and after acquiring position information and a radius of the minimum circumscribed circle:
presetting p pixel values, and acquiring an external area of the battery core and an internal area of the battery core according to the minimum circumscribed circle radius r and by taking the coordinates of the circle center as starting point coordinates, wherein the external area of the battery core is r + p, and the internal area of the battery core is r-p;
acquiring a gray level difference value of at least one electric core internal area and at least one electric core external area, and calculating a logarithmic loss value of the gray level difference value;
and determining the minimum circumscribed circle of the battery cell with the logarithmic loss value of the gray level difference value larger than the loss threshold value as a target circumscribed circle of the battery cell according to a preset loss threshold value, wherein the position of the target circumscribed circle of the battery cell is the successfully identified circumscribed circle of the battery cell of the battery module.
Further, after determining that the minimum circumscribed circle of the battery core with the logarithmic loss value of the gray scale difference value larger than the loss threshold value is the circumscribed circle of the target battery core, the method further comprises the following steps:
acquiring a first target electric core circumcircle and a last target electric core circumcircle identified in any column in the battery module;
and calculating the battery cell circumcircle of the battery module which is not identified in the row according to a linear regression algorithm.
Further, the target gluing distance is calculated according to the intersection point distance between the radial direction of the gluing vertex and the minimum circumscribed circle of the electric core corresponding to the gluing vertex, and the method specifically comprises the following steps:
acquiring a first gluing distance and a second gluing distance, wherein the first gluing distance is not more than the minimum circumscribed circle radius of the battery core, and the second gluing distance is more than the minimum circumscribed circle radius of the battery core;
if the gluing vertex exists in the battery cell, when the gluing coverage rate is not more than 50%, confirming that the first gluing distance is the target gluing distance; and when the gluing coverage rate is not less than 50%, confirming that the second gluing distance is the target gluing distance.
Further, if the gluing vertex does not exist in the battery core, the method further comprises the following steps:
obtaining the gluing coverage rate of the battery core;
if the gluing coverage rate of the battery cell is greater than 50%, determining that the battery cell is a full-gluing battery cell, and marking the gluing coverage rate of the battery cell of the full-gluing battery cell as 100%;
and if the gluing coverage rate of the battery cell is less than 50%, determining that the battery cell is a non-gluing battery cell, and marking the gluing coverage rate of the battery cell of the non-gluing battery cell as 0%.
Further, after calculating the minimum circumscribed circle of each cell in the cell area, the method further includes the following steps:
and eliminating the calculated interference circle according to the actual process value of the battery cell and the tolerance range of the actual process value of the battery cell.
In a second aspect, an embodiment of the present application further provides a detection apparatus for lithium battery cell gluing, including:
the module area extraction module is used for acquiring a binary image of the surface of the battery module and extracting a module area;
the battery cell region extraction module is used for extracting a battery cell region from the module region according to a preset gray level threshold value, wherein the battery cell region comprises a full battery cell region and a crescent battery cell region;
the battery cell external circle acquisition module is used for calculating the minimum external circle of each battery cell in the battery cell area, acquiring the position information and the radius of the minimum external circle, and obtaining the area of the battery cell according to the radius of the minimum external circle, wherein the minimum external circle is calculated in the full battery cell area through a minimum external circle operator, and the minimum external circle is deduced in the crescent battery cell area through a minimum external rectangle operator;
the gray variance obtaining module is used for traversing the minimum circumscribed circle of each battery cell and obtaining the gray variance and the gray variance mean value in the minimum circumscribed circle of each battery cell through a preset battery cell gray threshold within the range of the minimum circumscribed circle;
the gluing area acquisition module is used for acquiring a gluing area corresponding to the battery cell through mean value segmentation according to the gray variance, wherein the boundary of the gluing area is a gluing boundary;
the gluing coverage rate calculation module is used for calculating the gluing coverage rate of the battery cell according to the ratio of the gluing area to the battery cell area;
the target gluing distance calculation module is used for calculating a gluing vertex through the tangent point of the gluing boundary and the minimum circumscribed rectangle of the gluing boundary, and calculating a target gluing distance according to the intersection point distance between the radial direction of the gluing vertex and the minimum circumscribed circle of the electric core corresponding to the gluing vertex;
and the gluing quality judgment module is used for judging the battery core gluing quality of the battery module according to the gluing coverage rate and the target gluing distance.
Further, the module is obtained to the external circle of electricity core, still includes:
the full cell area determining unit is used for determining the cell area larger than the pixel connected area threshold value as the full cell area according to a preset pixel connected area threshold value;
the cell radius calculation unit is used for acquiring the position of the full cell area and calculating the radius of the cell through a minimum circumcircle operator;
a crescent cell region acquisition unit, configured to acquire a position of the crescent cell region by removing the full cell region in the cell region;
the crescent cell area external circle calculation unit is used for acquiring the minimum external rectangle information of the crescent cell area through a minimum external rectangle operator and calculating the minimum external circle of the crescent cell area according to the minimum external rectangle information and the cell radius.
In a third aspect, an embodiment of the present application further provides an electronic device, including:
at least one memory and at least one processor;
the memory to store one or more programs;
when the one or more programs are executed by the at least one processor, the at least one processor may implement the steps of the method for detecting gluing of a lithium battery cell according to the first aspect.
According to the method, the cell image of the battery module is obtained through machine vision and image processing related technologies, the circumscribed circles of a full cell area and a crescent cell area are calculated through a minimum circumscribed circle operator and a minimum circumscribed rectangle operator respectively, the positions of all cells in the battery module are determined through the circumscribed circle positions, the gray variance and the gray variance mean value in each cell are obtained, the cell gluing area is obtained through a mean value segmentation method, the gluing coverage rate and the gluing distance of the cell are calculated, and finally the gluing quality of the cell of the battery module is judged according to the gluing coverage rate and the gluing distance. Compared with the traditional manual gluing quality detection, the detection efficiency and the detection stability are improved, meanwhile, the detection accuracy is improved by adopting different minimum circumscribed circles calculation methods for different forms of electric cores, and the detection normalization is ensured.
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Drawings
Fig. 1 is a schematic view of an application scenario of a detection method for gluing a lithium battery cell provided in an exemplary embodiment;
fig. 2 is a flow chart illustrating steps of a method for detecting a lithium battery cell paste applied in an exemplary embodiment;
fig. 3 is a schematic diagram of a surface image of a battery module collected by a method for detecting gluing of a lithium battery cell provided in an exemplary embodiment;
fig. 4 is a schematic diagram of a battery module extraction area of a method for detecting gluing of a lithium battery cell provided in an exemplary embodiment;
fig. 5 is a schematic diagram illustrating extraction of a full cell region of a method for detecting glue on a lithium battery cell provided in an exemplary embodiment;
fig. 6 is a schematic diagram of positions of all cells determined by a regression algorithm in a method for detecting gluing of lithium battery cells according to an exemplary embodiment;
fig. 7 is a schematic diagram illustrating a gluing distance of a method for detecting gluing of a lithium battery cell provided in an exemplary embodiment;
fig. 8 is a block diagram of an apparatus for detecting the application of glue to a lithium battery cell provided in an exemplary embodiment;
FIG. 9 is a schematic diagram of an electronic device provided in an exemplary embodiment.
Detailed Description
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
It should be understood that the embodiments described are only some embodiments of the present application, and not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without any creative effort belong to the protection scope of the embodiments in the present application.
The terminology used in the embodiments of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the embodiments of the present application. As used in the examples of this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the application, as detailed in the claims that follow. In the description of the present application, it is to be understood that the terms "first," "second," "third," and the like are used solely to distinguish one from another and are not necessarily used to describe a particular order or sequence, nor are they to be construed as indicating or implying relative importance. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate.
Further, in the description of the present application, "a plurality" means two or more unless otherwise specified. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.
Based on the background technology, the invention provides a method for detecting the gluing of a lithium battery cell, the application scene of which is shown in fig. 1, the method comprises an image acquisition unit and a calculation unit, wherein the image acquisition unit is in signal link with the calculation unit, the image acquisition unit is over against a battery module to be detected, and the image acquisition of the battery module to be detected is completed in a stable illumination environment. In the embodiment of the present application, the image capturing unit is a CCD line scan camera, and in some other examples, the image capturing unit may also be other image or video capturing devices capable of acquiring image information, such as an area-array camera. The triggering mode of the image acquisition unit for acquiring the image can be that the image acquisition unit is connected with external computer software or an encoder, a triggering acquisition control signal is sent at a preset time interval, and the image acquisition unit acquires the image according to the control signal. In some other examples, image acquisition may also be performed in response to manual manipulation by a human.
The calculating unit is used for calculating the information sent by the image acquisition unit. The computing unit comprises a memory and a processor, and the specific functions of the computing unit are realized by the processor and the memory, wherein the memory stores a computer program, and the processor computes the received data according to the stored computer program.
Specifically, the memory of the computing unit is an article of manufacture that can implement information storage by any method or technique, including but not limited to: phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic tape cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium which can be used to store information which can be accessed by the processor.
The processor of the computing unit is a processor capable of performing computing functions, including but not limited to: one or combination of any more of FPGA, MCU, MPU, DPU, CPU, ASIC, etc.; or may be a terminal device including one or any of the above processors.
The embodiment of the present application further provides a method for detecting glue applied to a battery core of a lithium battery, as shown in fig. 2, where the method is executed by the computing unit, and includes the following steps:
s201: and acquiring a binary image of the surface of the battery module and extracting a module area.
The battery module comprises battery cells, namely an electric energy storage unit, wherein a plurality of battery cells are packaged together by the same shell frame and are connected with the outside through a uniform boundary to form a battery module; the battery module is the middle energy storage unit between electric core monomer and battery package, and it is through connecting a plurality of electric cores in series-parallel, in addition play collect electric current, collect data, the auxiliary structure spare of fixed protection electric core etc. effect forms the modularization group battery. Specifically, in the embodiment of the present application, a CCD line scan camera is used to scan the surface of the battery module to be detected perpendicularly, as shown in fig. 3, so as to obtain an RGB (Red-Green-Blue) color image of the surface of the battery module. The image is binarized by the OTSU algorithm, and as shown in fig. 4, the noise background is removed by setting a gray threshold value according to the characteristic that the gray difference exists between the background outside the battery module and the surface of the battery module, so as to obtain the area of the surface of the battery module.
S202: according to presetting grey level threshold, draw electric core region from the module region, electric core region is including full electric core region and crescent electricity core region.
The battery module is because there is the reflection of light characteristic in the membrane group apron to lead to the regional adhesion probably that exists of electric core, consequently, in this application embodiment, before extracting each electric core in electric core region, still use the morphology to handle the regional disconnection of electric core adhesion, for the convenient prerequisite of electric core radius calculation that follows. In the embodiment of the application, a grayscale difference exists between a cell region and a non-cell region in the module region, so that a grayscale threshold is set to extract a cell position, and in some other examples, a contour recognition method may also be used to extract a telecommunication region.
S203: calculating the minimum circumscribed circle of each electric core in the electric core area, acquiring the position information and the radius of the minimum circumscribed circle, and obtaining the area of the electric core according to the radius of the minimum circumscribed circle, wherein the minimum circumscribed circle is calculated by the full electric core area through a minimum circumscribed circle operator, and the minimum circumscribed circle is deduced by the crescent electric core area through a minimum circumscribed rectangle operator.
In a preferred embodiment, according to a preset pixel connected region area threshold, it is determined that the cell region larger than the pixel connected region area threshold is a full cell region. And acquiring the position of the full battery cell region, and calculating the radius of the battery cell through a minimum circumcircle operator. In the embodiment of the present application, as shown in fig. 5, fig. 5 shows that the cell positions of the full cell regions are preferentially determined by the method of the present application. And after the minimum circumscribed circle of the full cell area is obtained, removing the calculated interference circle according to the actual process value of the cell and the tolerance range of the actual process value of the cell. And then, removing the full cell area in the cell area to obtain the position of the crescent cell area. Because the crescent cell region cannot accurately calculate the minimum circumscribed circle through the minimum circumscribed circle operator, if the minimum circumscribed circle operator is adopted to calculate all the cell regions, the calculation of the real cell position can be seriously distorted, the minimum circumscribed rectangle information of the crescent cell region is obtained by adopting a method of the minimum circumscribed rectangle operator, and the minimum circumscribed circle of the crescent cell region is calculated according to the minimum circumscribed rectangle information and the cell radius.
In a specific example, the minimum circumscribed rectangle operator is used to identify the half-length len1 in the long axis direction, the half-length len2 in the short axis direction, the included angle θ between the long axis and the horizontal axis, and the coordinate value of the center of the minimum circumscribed rectangle in the crescent cell area. Because the minimum external rectangle operator may identify a plurality of minimum external rectangles for the same crescent electric core region, the interference rectangle region also needs to be removed according to the length of the long shaft and the minimum external rectangle area threshold, and the external rectangle information of the rest crescent electric core region can be used for deducing the electric core external circle. Specifically, this external rectangle is tangent with the crescent moon, and tangent line vertical direction passes through the centre of a circle, tangent point and the central coordinate of external rectangle of the regional minimum circumscribed circle of this crescent moon electricity core, therefore the computational formula of the straight line direction alpha of this centre of a circle place is:
α＝θ+π/2。
calculating the intercept b of a linear equation of the circle center according to the central coordinate of the circumscribed rectangle and the linear direction alpha of the circle center, and calculating the linear equation y of the circle center as follows:
y＝θ*x+b。
the distance d from the center of the circumscribed rectangle to the circle center is as follows:
d＝r-len2。
let the coordinates of the center of the circumscribed rectangle be Rant _ x and Rant _ y, obtain the horizontal distance dx and the vertical distance dy between the center of the rectangle and the center of the circle from d, theta and the trigonometric identity, and consider that the circumscribed distance center may be on both sides of the center of the circle, then the coordinates x, y of the center of the circle are:
x＝Rant_x±dx，
y＝Rant_y±dy，
and finally, obtaining the minimum circumscribed circle of the crescent cell area according to x, y and r.
In a preferred embodiment, after the minimum circumscribed circle of all the cell areas is calculated, fitting is performed on the circumscribed circle obtained by calculation, and a circumscribed circle with a good fitting state is obtained. In a specific embodiment, p pixel values are preset, and an electric core external region r + p and an electric core internal region r-p are obtained according to the minimum circumscribed circle radius r and with the circle center coordinate as a starting point coordinate. Obtaining a gray level difference delta _ g between at least one cell internal area and at least one cell external area, specifically, dividing the cell into n (n > 0) parts, and recording that the gray level at r + p is g (r + p) and the gray level at r-p is g (r-p), and then recording that delta _ g = g (r-p) -g (r + p). Counting n delta _ g and calculating the log loss value loss of the delta _ g; according to predetermined loss threshold, when loss is greater than the loss threshold, consider this circumscribed circle for the better circumscribed circle of fit and confirm it as the circumscribed circle of target electric core, the position of the circumscribed circle of target electric core is the circumscribed circle of electric core of the battery module that the success discernment arrived, also regards this electric core minimum circumscribed circle's position as the true position of this electric core in the battery module. A (c)
In a preferred embodiment, since the circumscribed circle of the battery cell fitted through the full cell region and the crescent cell region does not cover all the battery cells in the battery module, part of the battery cells still cannot identify the circumscribed circle due to the reason that the coverage area of the glue is large, and at this time, the remaining circumscribed circle of the battery cell needs to be deduced according to the existing circumscribed circle. In this application embodiment, as shown in fig. 6, because the technological characteristics of the battery module, the position deviation of the cells in the same row in the vertical direction is small, and the interval between the adjacent cells in the same row is stable, so a linear regression method is adopted, all remaining cell circumcircles are calculated according to the positions of the identified head and tail circles in the row, and then the cell circumcircles exceeding the module area are screened out by setting a boundary value.
S204: and traversing the minimum circumscribed circle of each battery cell, and acquiring the gray variance and the gray variance mean value in the minimum circumscribed circle of the battery cell through a preset battery cell gray threshold within the range of the minimum circumscribed circle.
According to the characteristic that a gluing area is usually not provided with a gluing area and is darker, a self-adaptive threshold operator is used in the fitting circumscribed circle to obtain the integral gray level variance and mean value in the fitting circumscribed circle, and the smaller the variance of the electric core area is, the more the whole electric core area tends to be fully glued or not glued.
S205: and obtaining a gluing area corresponding to the battery cell through mean value segmentation according to the gray variance, wherein the boundary of the gluing area is a gluing boundary.
And dividing the gluing area by using a mean dividing method in a preset variance range, and further determining that the area boundary of the gluing area is a gluing boundary.
S206: and calculating the gluing coverage rate of the battery cell according to the ratio of the gluing area to the area of the battery cell.
S207: and calculating a gluing vertex through the tangent point of the gluing boundary and the minimum circumscribed rectangle of the gluing boundary, and calculating a target gluing distance according to the intersection point distance between the radial direction of the gluing vertex and the minimum circumscribed circle of the electric core corresponding to the gluing vertex.
According to the actual die set process requirement, the gluing vertex is the tangent point of the gluing boundary and the minimum circumscribed rectangle, and can be positioned by a quadratic function and matrix transformation method, as shown in fig. 7.
In a specific embodiment, a first gluing distance and a second gluing distance are obtained, wherein the first gluing distance is not greater than the minimum circumscribed circle radius of the electric core, and the second gluing distance is greater than the minimum circumscribed circle radius of the electric core; if the battery core has a gluing vertex, determining that the first gluing distance is a target gluing distance when the gluing coverage rate is not more than 50%; and when the gluing coverage rate is not less than 50%, determining the second gluing distance as the target gluing distance.
If the gluing vertex does not exist in the battery cell, obtaining the gluing coverage rate of the battery cell; if the gluing coverage rate of the battery cell is greater than 50%, determining that the battery cell is a full-gluing battery cell, and marking the gluing coverage rate of the battery cell of the full-gluing battery cell as 100%; and if the gluing coverage rate of the battery cell is less than 50%, determining that the battery cell is a non-gluing battery cell, and marking the gluing coverage rate of the battery cell of the non-gluing battery cell as 0%.
S208: and judging the battery core gluing quality of the battery module according to the gluing coverage rate and the target gluing distance.
According to the invention, a cell image of a battery module is obtained through machine vision and image processing related technologies, circumscribed circles of a full cell area and a crescent cell area are respectively calculated through a minimum circumscribed circle operator and a minimum circumscribed rectangle operator, the position of each cell in the battery module is determined through the position of the circumscribed circle, a gray variance and a gray variance mean value in each cell are obtained, a cell gluing area is obtained through a mean value segmentation method, the gluing coverage rate and the gluing distance of the cell are calculated, and finally the gluing quality of the cell of the battery module is judged according to the gluing coverage rate and the gluing distance. Compared with the traditional manual gluing quality detection, the detection efficiency and the detection stability are improved, meanwhile, the detection accuracy is improved by adopting different minimum circumscribed circles calculation methods for different forms of electric cores, and the detection normalization is ensured.
The embodiment of the present application further provides a detection apparatus 300 for lithium battery electric core gluing, as shown in fig. 8, including:
a module region extraction module 301, configured to obtain a binarized image of the surface of the battery module and extract a module region;
the battery cell region extraction module 302 is configured to extract a battery cell region from the module region according to a preset gray level threshold, where the battery cell region includes a full battery cell region and a crescent battery cell region;
the cell circumscribed circle acquiring module 303 is configured to calculate a minimum circumscribed circle of each cell in the cell region, acquire position information and a radius of the minimum circumscribed circle, and obtain an area of the cell according to the radius of the minimum circumscribed circle, wherein the minimum circumscribed circle is calculated in the full cell region through a minimum circumscribed circle operator, and the minimum circumscribed circle is inferred in the crescent cell region through a minimum circumscribed rectangle operator;
the gray variance acquiring module 304 is configured to traverse the minimum circumscribed circle of each cell, and acquire a gray variance and a gray variance mean value in the minimum circumscribed circle of the cell through a preset cell gray threshold within the range of the minimum circumscribed circle;
a gluing area obtaining module 305, configured to obtain a gluing area corresponding to the electrical core through mean value segmentation according to the gray variance, where a boundary of the gluing area is a gluing boundary;
the gluing coverage rate calculation module 306 is configured to calculate a gluing coverage rate of the electrical core according to a ratio of the gluing area to the electrical core area;
a target gluing distance calculation module 307, configured to calculate a gluing vertex through a tangent point of a minimum circumscribed rectangle of the gluing boundary and the gluing boundary, and calculate a target gluing distance according to a distance between a radial direction of the gluing vertex and an intersection point of a minimum circumscribed circle of the electrical core corresponding to the gluing vertex;
and the gluing quality judgment module 308 is used for judging the battery core gluing quality of the battery module according to the gluing coverage rate and the target gluing distance.
In an exemplary example, the cell circumcircle acquiring module 303 further includes:
the full cell area determining unit is used for determining the cell area larger than the pixel communication area threshold as a full cell area according to a preset pixel communication area threshold;
the battery cell radius calculation unit is used for acquiring the position of a full battery cell area and calculating the radius of the battery cell through a minimum circumcircle operator;
the crescent cell region acquisition unit is used for acquiring the position of a crescent cell region by removing a full cell region in the cell region;
the crescent electricity core area external circle calculation unit is used for acquiring the minimum external rectangle information of the crescent electricity core area through a minimum external rectangle operator, and calculating the minimum external circle of the crescent electricity core area according to the minimum external rectangle information and the electricity core radius.
It should be noted that, when the detection apparatus for gluing a lithium battery cell provided in the foregoing embodiment executes a detection method for gluing a lithium battery cell, the division of each functional module is only used for illustration, and in practical applications, the function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules, so as to complete all or part of the above-described functions. In addition, the detection apparatus for lithium battery core gluing and the detection method for lithium battery core gluing provided by the above embodiments belong to the same concept, and specific implementation processes thereof are described in detail in the method embodiments and are not described herein again.
As shown in fig. 9, fig. 9 is a block diagram of an electronic device according to an exemplary embodiment of the present disclosure.
The electronic device includes a processor 410 and a memory 420. The number of the processors 410 in the main control chip may be one or more, and one processor 410 is taken as an example in fig. 9. The number of the memories 420 in the main control chip may be one or more, and one memory 420 is taken as an example in fig. 9.
The memory 420 is used as a computer-readable storage medium, and may be used to store a software program, a computer-executable program, and a module, such as a program of a lithium battery cell gluing detection method described in any embodiment of the present application, and a program instruction/module corresponding to the lithium battery cell gluing detection method described in any embodiment of the present application. The memory 420 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of the device, and the like. Further, the memory 420 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, memory 420 may further include memory located remotely from processor 410, which may be connected to devices through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The processor 410 executes various functional applications and data processing of the device by running the software program, instructions and modules stored in the memory 420, that is, implements the method for detecting the gluing of the lithium battery cell described in any of the above embodiments.
The present invention may take the form of a computer program product embodied on one or more storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having program code embodied therein. Computer readable storage media, which include both non-transitory and non-transitory, removable and non-removable media, may implement any method or technology for storage of information. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of the storage medium of the computer include, but are not limited to: phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technologies, compact disc read only memory (CD-ROM), digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic tape storage or other magnetic storage devices, or any other non-transmission medium, may be used to store information that may be accessed by a computing device.
It is to be understood that the embodiments of the present application are not limited to the precise arrangements which have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the embodiments of the present application is limited only by the following claims.
The above embodiments only express several implementation manners of the embodiments of the present application, and the descriptions are specific and detailed, but should not be construed as limiting the scope of the invention. It should be noted that, for those skilled in the art, variations and modifications can be made without departing from the concept of the embodiments of the present application, and these embodiments are within the scope of the present application.
Claims (10)
1. A detection method for lithium battery cell gluing is characterized by comprising the following steps:
acquiring a binary image of the surface of the battery module and extracting a module area;
extracting a cell area from a module area according to a preset gray level threshold value, wherein the cell area comprises a full cell area and a crescent cell area;
calculating the minimum circumscribed circle of each battery cell in a battery cell area, acquiring the position information and the radius of the minimum circumscribed circle, and obtaining the area of the battery cell according to the radius of the minimum circumscribed circle, wherein the minimum circumscribed circle is calculated in the full battery cell area through a minimum circumscribed circle operator, and the minimum circumscribed circle is deduced in the crescent battery cell area through a minimum circumscribed rectangle operator;
traversing the minimum circumscribed circles of the battery cells, and acquiring a gray variance and a gray variance mean value in the minimum circumscribed circle of the battery cells within the range of the minimum circumscribed circle through a preset battery cell gray threshold;
obtaining a gluing area corresponding to the battery cell through mean value segmentation according to the gray variance, wherein the boundary of the gluing area is a gluing boundary;
calculating the gluing coverage rate of the battery cell according to the ratio of the gluing area to the area of the battery cell;
calculating a gluing vertex through the tangent point of the gluing boundary and the minimum circumscribed rectangle of the gluing boundary, and calculating a target gluing distance according to the intersection point distance between the radial direction of the gluing vertex and the minimum circumscribed circle of the battery cell corresponding to the gluing vertex;
and judging the battery core gluing quality of the battery module according to the gluing coverage rate and the target gluing distance.
2. The method for detecting the gluing of the lithium battery cell according to claim 1, wherein the minimum circumscribed circle of each cell in the cell area is calculated, and the center coordinate and the radius of the minimum circumscribed circle are obtained, and the method specifically comprises the following steps:
determining the cell region larger than the pixel connected region area threshold value as the full cell region according to a preset pixel connected region area threshold value;
acquiring the position of the full cell area, and calculating the radius of the cell through a minimum circumscribed circle operator;
obtaining the position of the crescent cell area by removing the full cell area in the cell area;
and acquiring minimum external rectangle information of the crescent electricity core region through a minimum external rectangle operator, and calculating a minimum external circle of the crescent electricity core region according to the minimum external rectangle information and the electricity core radius.
3. The method for detecting the gluing of the battery core of the lithium battery according to claim 1, wherein after the minimum circumscribed circle of each battery core in the battery core area is calculated and the position information and the radius of the minimum circumscribed circle are obtained, the method further comprises the following steps:
presetting p pixel values, and acquiring an electric core external area and an electric core internal area according to the minimum external circle radius r and by taking the circle center coordinate as a starting point coordinate, wherein the electric core external area is r + p, and the electric core internal area is r-p;
acquiring a gray level difference value of at least one electric core internal area and at least one electric core external area, and calculating a logarithmic loss value of the gray level difference value;
and determining the minimum circumscribed circle of the battery cell with the logarithmic loss value of the gray level difference value larger than the loss threshold value as a target circumscribed circle of the battery cell according to a preset loss threshold value, wherein the position of the target circumscribed circle of the battery cell is the successfully identified circumscribed circle of the battery cell of the battery module.
4. The method for detecting the gluing of the lithium battery cell according to claim 3, wherein after determining that the minimum circumscribed circle of the battery cell with the logarithmic loss value of the gray scale difference value larger than the loss threshold value is the circumscribed circle of the target battery cell, the method further comprises the following steps:
acquiring a first target electric core circumcircle and a last target electric core circumcircle identified in any column in the battery module;
and calculating the battery cell circumcircle of the battery module which is not identified in the row according to a linear regression algorithm.
5. The method for detecting the gluing of the lithium battery cell according to claim 1, wherein the target gluing distance is calculated according to the distance between the radial direction of the gluing vertex and the intersection point of the minimum circumscribed circle of the cell corresponding to the gluing vertex, and specifically comprises the following steps:
acquiring a first gluing distance and a second gluing distance, wherein the first gluing distance is not more than the minimum circumscribed circle radius of the electric core, and the second gluing distance is more than the minimum circumscribed circle radius of the electric core;
if the gluing vertex exists in the battery cell, when the gluing coverage rate is not more than 50%, confirming that the first gluing distance is the target gluing distance; and when the gluing coverage rate is not less than 50%, confirming that the second gluing distance is the target gluing distance.
6. The method for detecting the gluing of the lithium battery cell according to claim 5, wherein if the gluing vertex does not exist in the cell, the method further comprises the following steps:
obtaining the gluing coverage rate of the battery core;
if the gluing coverage rate of the battery cell is greater than 50%, determining that the battery cell is a full-gluing battery cell, and marking the gluing coverage rate of the battery cell of the full-gluing battery cell as 100%;
and if the gluing coverage rate of the battery cell is less than 50%, determining that the battery cell is a non-gluing battery cell, and marking the gluing coverage rate of the battery cell of the non-gluing battery cell as 0%.
7. The method for detecting the gluing of the battery cell of the lithium battery according to claim 1, wherein after calculating the minimum circumscribed circle of each battery cell in the battery cell region, the method further comprises the following steps:
and eliminating the calculated interference circle according to the actual process value of the battery cell and the tolerance range of the actual process value of the battery cell.
8. The utility model provides a gummed detection device of lithium cell electricity core which characterized in that includes:
the module area extraction module is used for acquiring a binary image of the surface of the battery module and extracting a module area;
the battery cell region extraction module is used for extracting a battery cell region from the module region according to a preset gray level threshold value, wherein the battery cell region comprises a full battery cell region and a crescent battery cell region;
the battery cell external circle acquisition module is used for calculating the minimum external circle of each battery cell in the battery cell area, acquiring the position information and the radius of the minimum external circle, and obtaining the area of the battery cell according to the radius of the minimum external circle, wherein the minimum external circle is calculated in the full battery cell area through a minimum external circle operator, and the minimum external circle is deduced in the crescent battery cell area through a minimum external rectangle operator;
the gray variance obtaining module is used for traversing the minimum circumscribed circle of each battery cell and obtaining the gray variance and the gray variance mean value in the minimum circumscribed circle of each battery cell through a preset battery cell gray threshold within the range of the minimum circumscribed circle;
the gluing area acquisition module is used for acquiring a gluing area corresponding to the battery cell through mean value segmentation according to the gray variance, wherein the boundary of the gluing area is a gluing boundary;
the gluing coverage rate calculation module is used for calculating the gluing coverage rate of the battery cell according to the ratio of the gluing area to the battery cell area;
the target gluing distance calculation module is used for calculating a gluing vertex through the tangent point of the gluing boundary and the minimum circumscribed rectangle of the gluing boundary, and calculating a target gluing distance according to the intersection point distance between the radial direction of the gluing vertex and the minimum circumscribed circle of the electric core corresponding to the gluing vertex;
and the gluing quality judgment module is used for judging the battery core gluing quality of the battery module according to the gluing coverage rate and the target gluing distance.
9. The glued detection device of lithium battery cell of claim 8, characterized in that, the module is obtained to the circumcircle of electricity core, still includes:
the full cell region determining unit is used for determining the cell region larger than the pixel communication region area threshold as the full cell region according to a preset pixel communication region area threshold;
the cell radius calculation unit is used for acquiring the position of the full cell area and calculating the radius of the cell through a minimum circumcircle operator;
a crescent cell region acquisition unit, configured to acquire a position of the crescent cell region by removing the full cell region in the cell region;
the crescent cell area external circle calculation unit is used for acquiring the minimum external rectangle information of the crescent cell area through a minimum external rectangle operator and calculating the minimum external circle of the crescent cell area according to the minimum external rectangle information and the cell radius.
10. An electronic device, comprising:
at least one memory and at least one processor;
the memory to store one or more programs;
when executed by the at least one processor, the one or more programs cause the at least one processor to implement the steps of the method for testing lithium battery cell gluing according to any one of claims 1 to 7.
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