CN113654493A - Quality detection method and system for laminated soft package lithium battery - Google Patents
Quality detection method and system for laminated soft package lithium battery Download PDFInfo
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Abstract
The invention discloses a quality detection method and system for a laminated soft package lithium battery. The method comprises the following steps: carrying out binarization processing on the gray level image by adopting a sauvola binarization method to obtain a binarization image; labeling the binary image to obtain a label image; determining position coordinates of each negative electrode of the laminated soft package lithium battery based on the label image; calculating the position coordinates of each positive electrode of the laminated soft package lithium battery according to the position coordinates of each negative electrode; calculating the maximum value of the cathode range according to the position coordinates of the cathodes, and calculating the maximum value of the anode range according to the position coordinates of the anodes; and detecting the quality of the laminated soft package lithium battery according to the maximum value of the cathode range difference and the maximum value of the anode range difference. The invention solves the problems of poor gray scale uniformity and local blurring of the X-ray image obtained due to deformation and the like of the laminated soft package lithium battery, thereby accurately identifying the positions of the anode and the cathode of the electrode in the blurring region and improving the detection precision.
Description
Technical Field
The invention relates to the technical field of automatic detection of lithium batteries, in particular to a method and a system for detecting the quality of a laminated soft package lithium battery.
Background
The lithium ion battery is a chemical energy storage device which takes metal lithium or a substance containing lithium as a battery pole piece material, is closely related to the petroleum crisis in the sixty-seven decades of the 20 th century, is commercialized in the 90 s and is marketed. With the development of the new energy automobile industry, the lithium battery industry has been rapidly developed in recent years.
The lithium ion battery is divided into a wound battery and a laminated battery in terms of manufacturing process, and compared with the wound battery, the laminated soft package lithium battery has the characteristics of flexible design, light weight, small internal resistance, difficult explosion, multiple cycle times and the like, and is widely used in new energy power lithium batteries.
The electrode pole piece is a core component and an important component of a soft-package laminated lithium battery, and the position deviation (range difference) of a positive electrode or a negative electrode of the normal soft-package laminated lithium battery must be kept within a certain range. In order to ensure the quality of the soft-package laminated lithium battery, in the production process of the soft-package laminated lithium battery, an online X-ray detection device is generally used for automatically detecting the range of positive and negative electrodes, and detecting out bad soft-package laminated lithium batteries according to the range of.
In the existing method, the position of the anode or the cathode is obtained by adopting a method of detecting the angular point of an image, and then the anode and cathode pole difference of the battery is obtained by calculation. However, the gray scale uniformity of an X-ray image obtained by the soft package lithium battery due to deformation and the like is poor, and a local image is fuzzy, when the method is used for detecting the corner points, the detection precision of the corner points is not high, so that the problem that the positions of the positive electrode and the negative electrode of the electrode in a fuzzy area cannot be accurately identified sometimes occurs, erroneous judgment or missing judgment is easily caused, and a bad battery cannot be effectively detected.
Disclosure of Invention
The invention aims to provide a method and a system for detecting the quality of a laminated soft package lithium battery, which are used for solving the problems of poor uniformity and local blurring of the gray scale of an obtained X-ray image caused by deformation and the like of the laminated soft package lithium battery.
In order to achieve the purpose, the invention provides the following scheme:
a quality detection method for a laminated soft package lithium battery comprises the following steps:
acquiring a gray level image of the laminated soft package lithium battery;
carrying out binarization processing on the gray level image by adopting a sauvola binarization method to obtain a binarization image;
labeling the binary image to obtain a label image;
determining position coordinates of each negative electrode of the laminated soft package lithium battery based on the label image;
calculating the position coordinates of each positive electrode of the laminated soft package lithium battery according to the position coordinates of each negative electrode;
calculating the maximum value of the cathode range according to the position coordinates of the cathodes, and calculating the maximum value of the anode range according to the position coordinates of the anodes;
and detecting the quality of the laminated soft package lithium battery according to the maximum value of the cathode range difference and the maximum value of the anode range difference.
Further, the labeling the binarized image to obtain a labeled image specifically includes:
and deleting the part of the binarized image exceeding the area threshold range and the gray threshold range of the electrode to obtain a label image.
Further, the determining of the position coordinates of each negative electrode of the laminated soft package lithium battery based on the label image specifically includes:
determining a label rectangular area of each electrode based on the label image;
and determining the position coordinates of each negative electrode according to the central line of the label area.
Further, the calculating of the position coordinates of each positive electrode of the laminated soft package lithium battery according to the position coordinates of each negative electrode specifically includes:
determining a rectangle according to the position coordinates of two adjacent cathodes and the maximum height of the electrodes;
determining a grayscale image of the rectangle based on the grayscale image;
projecting the rectangular gray level image on a Y axis to obtain a gray level distribution histogram;
and determining the position coordinates of each anode according to the gray distribution histogram.
Further, the calculating the maximum value of the negative pole difference according to the position coordinates of the negative poles and the calculating the maximum value of the positive pole difference according to the position coordinates of the positive poles specifically includes:
calculating the y-axis coordinate difference of two adjacent cathodes according to the position coordinates of each cathode, wherein the y-axis coordinate difference is a cathode polar difference;
screening out the maximum value of the cathode range from the cathode range;
calculating the y-axis coordinate difference of two adjacent positive electrodes according to the position coordinates of each positive electrode, wherein the y-axis coordinate difference is a positive electrode polar difference;
and screening out the maximum value of the positive pole difference from the positive pole differences.
Further, the quality of the laminated soft package lithium battery is detected according to the maximum value of the negative pole difference and the maximum value of the positive pole difference, and the method specifically comprises the following steps:
comparing the maximum value of the negative pole spread to a negative pole spread threshold and the maximum value of the positive pole spread to a positive pole spread threshold;
and when the maximum value of the negative pole difference is smaller than or equal to the negative pole difference threshold value and the maximum value of the positive pole difference is smaller than or equal to the positive pole difference threshold value, judging that the laminated soft package lithium battery is a good product.
The invention also provides a quality detection system for the laminated soft package lithium battery, which comprises the following steps:
the gray level image acquisition module is used for acquiring a gray level image of the laminated soft package lithium battery;
the binarization processing module is used for carrying out binarization processing on the gray level image by adopting a sauvola binarization method;
the labeling processing module is used for performing labeling processing on the binary image to obtain a label image;
the negative electrode position coordinate determination module is used for determining the position coordinates of each negative electrode of the laminated soft package lithium battery based on the label image;
the positive pole position coordinate calculation module is used for calculating the position coordinates of the positive poles of the laminated soft package lithium battery according to the position coordinates of the negative poles;
the maximum pole difference calculation module is used for calculating the maximum pole difference of the negative poles according to the position coordinates of the negative poles and calculating the maximum pole difference of the positive poles according to the position coordinates of the positive poles;
and the quality detection module is used for detecting the quality of the laminated soft package lithium battery according to the maximum value of the negative pole range difference and the maximum value of the positive pole range difference.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the invention provides a quality detection method and a system for a laminated soft package lithium battery, wherein the method comprises the following steps: acquiring a gray level image of the laminated soft package lithium battery; carrying out binarization processing on the gray level image by adopting a sauvola binarization method to obtain a binarization image; labeling the binary image to obtain a label image; determining position coordinates of each negative electrode of the laminated soft package lithium battery based on the label image; calculating the position coordinates of each positive electrode of the laminated soft package lithium battery according to the position coordinates of each negative electrode; calculating the maximum value of the cathode range according to the position coordinates of the cathodes, and calculating the maximum value of the anode range according to the position coordinates of the anodes; and detecting the quality of the laminated soft package lithium battery according to the maximum value of the cathode range difference and the maximum value of the anode range difference. Aiming at the characteristic of poor gray scale uniformity of an X-ray image of a laminated soft package lithium battery, the invention adopts a sauvola binarization method considering local mean brightness of the image to binarize the image, thereby solving the problems of poor gray scale uniformity and local blurring of the X-ray image obtained by the laminated soft package lithium battery due to deformation and the like, accurately identifying the positions of the anode and the cathode of the electrode in a blurring area and improving the detection precision.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a flow chart of a method for detecting the quality of a laminated soft-package lithium battery according to an embodiment of the invention;
FIG. 2 is an original gray scale image of a laminated lithium battery;
fig. 3 is a binary image of the laminated battery obtained by the sauvola binarization method.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention aims to provide a method and a system for detecting the quality of a laminated soft package lithium battery, which are used for solving the problems of poor uniformity and local blurring of the gray scale of an obtained X-ray image caused by deformation and the like of the laminated soft package lithium battery.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
As shown in fig. 1, the quality detection method for a laminated soft-package lithium battery provided by the invention comprises the following steps:
step 101: and acquiring a gray level image of the laminated soft package lithium battery.
And opening a laminated soft package lithium battery image, and converting the image into an 8-bit 255-gray-scale image, as shown in fig. 2.
Step 102: and carrying out binarization processing on the gray level image by adopting a sauvola binarization method to obtain a binarization image.
Aiming at the characteristics of poor gray scale uniformity and local blurring of an X-ray image of a laminated soft package lithium battery, a sauvola binarization method considering the local mean brightness of the image is adopted to binarize the image to obtain a binary image of a lithium battery electrode, as shown in FIG. 3.
The input of the sauvola binarization algorithm is a gray level image, which takes a current pixel point as a center, and dynamically calculates the threshold value of the pixel point according to the gray level mean value and the standard deviation in the neighborhood of the current pixel point. Assuming that the coordinates of the current pixel point are (x, y), the area centered on the point is r x r, g (x, y) represents the gray value at (x, y).
The sauvola algorithm comprises the following steps:
calculating mean m (x, y) and standard deviation s (x, y) of gray level in the neighborhood of r
Calculating a threshold T (x, y) for a pixel (x, y)
Wherein R is the dynamic range of the standard deviation, the input image in the example is an 8-bit gray image, the R value is 128, K is a self-defined correction parameter, the value range is between 0 and 1, and the value of K in the example is 0.10.
Step 103: and performing labeling processing on the binary image to obtain a label image.
And removing block areas outside the threshold range on the label image according to the area threshold range and the gray threshold range of the electrodes to obtain the label image containing each electrode.
Step 104: and determining the position coordinates of each negative electrode of the laminated soft package lithium battery based on the label image.
And on the label image, taking the rectangular central line of each electrode strip-shaped area, wherein the minimum x and y coordinates of the central line are the initial coordinate positions of the electrode cathode, and obtaining the coordinate positions of all cathodes in the battery.
Step 105: and calculating the position coordinates of each positive electrode of the laminated soft package lithium battery according to the position coordinates of each negative electrode.
Using the coordinates (x1, y1), (x2, y2) of the positions of the two adjacent electrodes obtained in the step 104 and the maximum distance value H between the positive electrode and the negative electrode (i.e. the maximum height of the electrode) as parameters to make a rectangle, the coordinates of the upper left corner of the middle rectangle are (x1, max (y1, y2)), the coordinates of the upper right corner of the rectangle are (x2, max (y1, y2)), the coordinates of the lower left corner of the rectangle are (x1, max (y1, y2) + H), and the coordinates of the lower right corner are (x2, max (y1, y2) + H), wherein max (y1, y2) obtains the maximum value of y1 and y2, and H is taken as the maximum distance value between the positive electrode and the negative electrode and the maximum distance value is 150 pixel points. And cutting out a rectangular gray scale image from the gray scale image of the laminated soft package battery, and projecting the gray scale image on the y axis to obtain a projection gray scale histogram. And calculating the gray change value of each Y coordinate position point from the lower part of the projection histogram because the gray of the positive electrode position image has large change, wherein when the gray change values of the two adjacent Y coordinate positions are greater than a threshold value, the Y coordinate of the point is the Y coordinate of the positive electrode, the x coordinate of the positive electrode position of the point is x1, and performing cyclic processing to obtain the coordinates of all the positive electrode positions in the battery.
Step 106: the maximum value of the negative pole polar difference is calculated from the position coordinates of each negative pole, and the maximum value of the positive pole polar difference is calculated from the position coordinates of each positive pole. The method specifically comprises the following steps:
calculating the y-axis coordinate difference of two adjacent cathodes according to the position coordinates of each cathode, wherein the y-axis coordinate difference is a cathode polar difference;
screening out the maximum value of the cathode range from the cathode range;
calculating the y-axis coordinate difference of two adjacent positive electrodes according to the position coordinates of each positive electrode, wherein the y-axis coordinate difference is a positive electrode polar difference;
and screening out the maximum value of the positive pole difference from the positive pole differences.
Step 107: and detecting the quality of the laminated soft package lithium battery according to the maximum value of the cathode range difference and the maximum value of the anode range difference.
Comparing the maximum value of the negative pole spread to a negative pole spread threshold and the maximum value of the positive pole spread to a positive pole spread threshold;
and when the maximum value of the negative pole difference is smaller than or equal to the negative pole difference threshold value and the maximum value of the positive pole difference is smaller than or equal to the positive pole difference threshold value, judging that the laminated soft package lithium battery is a good product.
Aiming at the characteristic of poor gray scale uniformity of an X-ray image of a laminated soft package lithium battery, the invention adopts a sauvola binarization method considering local mean brightness of the image to binarize the image, thereby solving the problems of poor gray scale uniformity and local blurring of the X-ray image obtained by the laminated soft package lithium battery due to deformation and the like, accurately identifying the positions of the anode and the cathode of the electrode in a blurring area and improving the detection precision.
The invention also provides a quality detection system for the laminated soft package lithium battery, which comprises the following steps:
the gray level image acquisition module is used for acquiring a gray level image of the laminated soft package lithium battery;
the binarization processing module is used for carrying out binarization processing on the gray level image by adopting a sauvola binarization method;
the labeling processing module is used for performing labeling processing on the binary image to obtain a label image;
the negative electrode position coordinate determination module is used for determining the position coordinates of each negative electrode of the laminated soft package lithium battery based on the label image;
the positive pole position coordinate calculation module is used for calculating the position coordinates of the positive poles of the laminated soft package lithium battery according to the position coordinates of the negative poles;
the maximum pole difference calculation module is used for calculating the maximum pole difference of the negative poles according to the position coordinates of the negative poles and calculating the maximum pole difference of the positive poles according to the position coordinates of the positive poles;
and the quality detection module is used for detecting the quality of the laminated soft package lithium battery according to the maximum value of the negative pole range difference and the maximum value of the positive pole range difference.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system disclosed by the embodiment, the description is relatively simple because the system corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.
Claims (7)
1. A quality detection method for a laminated soft package lithium battery is characterized by comprising the following steps:
acquiring a gray level image of the laminated soft package lithium battery;
carrying out binarization processing on the gray level image by adopting a sauvola binarization method to obtain a binarization image;
labeling the binary image to obtain a label image;
determining position coordinates of each negative electrode of the laminated soft package lithium battery based on the label image;
calculating the position coordinates of each positive electrode of the laminated soft package lithium battery according to the position coordinates of each negative electrode;
calculating the maximum value of the cathode range according to the position coordinates of the cathodes, and calculating the maximum value of the anode range according to the position coordinates of the anodes;
and detecting the quality of the laminated soft package lithium battery according to the maximum value of the cathode range difference and the maximum value of the anode range difference.
2. The method for detecting the quality of the laminated soft package lithium battery according to claim 1, wherein the labeling processing is performed on the binarized image to obtain a label image, and specifically comprises the following steps:
and deleting the part of the binarized image exceeding the area threshold range and the gray threshold range of the electrode to obtain a label image.
3. The method for detecting the quality of the laminated soft-package lithium battery according to claim 1, wherein the step of determining the position coordinates of each negative electrode of the laminated soft-package lithium battery based on the label image specifically comprises the steps of:
determining a label rectangular area of each electrode based on the label image;
and determining the position coordinates of each negative electrode according to the central line of the label area.
4. The method for detecting the quality of the laminated soft-package lithium battery according to claim 1, wherein the step of calculating the position coordinates of each positive electrode of the laminated soft-package lithium battery according to the position coordinates of each negative electrode specifically comprises the steps of:
determining a rectangle according to the position coordinates of two adjacent cathodes and the maximum height of the electrodes;
determining a grayscale image of the rectangle based on the grayscale image;
projecting the rectangular gray level image on a Y axis to obtain a gray level distribution histogram;
and determining the position coordinates of each anode according to the gray distribution histogram.
5. The method for detecting the quality of the laminated soft-package lithium battery according to claim 1, wherein the step of calculating the maximum value of the negative pole difference according to the position coordinates of each negative pole and the step of calculating the maximum value of the positive pole difference according to the position coordinates of each positive pole specifically comprises the following steps:
calculating the y-axis coordinate difference of two adjacent cathodes according to the position coordinates of each cathode, wherein the y-axis coordinate difference is a cathode polar difference;
screening out the maximum value of the cathode range from the cathode range;
calculating the y-axis coordinate difference of two adjacent positive electrodes according to the position coordinates of each positive electrode, wherein the y-axis coordinate difference is a positive electrode polar difference;
and screening out the maximum value of the positive pole difference from the positive pole differences.
6. The method for detecting the quality of the laminated soft-package lithium battery according to claim 1, wherein the step of detecting the quality of the laminated soft-package lithium battery according to the maximum value of the negative pole difference and the maximum value of the positive pole difference specifically comprises the following steps:
comparing the maximum value of the negative pole spread to a negative pole spread threshold and the maximum value of the positive pole spread to a positive pole spread threshold;
and when the maximum value of the negative pole difference is smaller than or equal to the negative pole difference threshold value and the maximum value of the positive pole difference is smaller than or equal to the positive pole difference threshold value, judging that the laminated soft package lithium battery is a good product.
7. The utility model provides a soft packet of lithium cell quality detection system of lamination which characterized in that includes:
the gray level image acquisition module is used for acquiring a gray level image of the laminated soft package lithium battery;
the binarization processing module is used for carrying out binarization processing on the gray level image by adopting a sauvola binarization method;
the labeling processing module is used for performing labeling processing on the binary image to obtain a label image;
the negative electrode position coordinate determination module is used for determining the position coordinates of each negative electrode of the laminated soft package lithium battery based on the label image;
the positive pole position coordinate calculation module is used for calculating the position coordinates of the positive poles of the laminated soft package lithium battery according to the position coordinates of the negative poles;
the maximum pole difference calculation module is used for calculating the maximum pole difference of the negative poles according to the position coordinates of the negative poles and calculating the maximum pole difference of the positive poles according to the position coordinates of the positive poles;
and the quality detection module is used for detecting the quality of the laminated soft package lithium battery according to the maximum value of the negative pole range difference and the maximum value of the positive pole range difference.
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