Battery pole piece straightness measurement method and device, electronic equipment and storage medium

By acquiring electrode edge images in real time using an area array CCD camera, the problem of efficient and real-time electrode straightness detection, which is difficult to achieve in existing technologies, is solved. This enables automated and accurate online detection, improving production efficiency and product quality.

CN121739930APending Publication Date: 2026-03-27CHINA AUTOMOTIVE XINNENG (WUXI) BATTERY TECHNOLOGY CO LTD
View PDF 0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-17
Publication Date
2026-03-27

AI Technical Summary

Technical Problem

Existing technologies struggle to achieve efficient, real-time, and automated electrode straightness detection, resulting in low production continuity and productivity, and an inability to provide timely feedback on process issues, thus increasing scrap rates.

Method used

The system employs a CCD area array camera and a coaxial illumination source in conjunction with an encoder to acquire real-time image data of the electrode edges. By processing the image, the edge curves are extracted, the vertical distance is measured, and it is determined whether the threshold is exceeded, generating an alarm prompt to achieve online detection.

Benefits of technology

It enables real-time, automatic, and high-precision detection of electrode edges, avoiding human error, improving the detection efficiency and consistency of the production line, reducing material waste, achieving full inspection and instant alarm, and supporting closed-loop control of process parameters.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN121739930A_ABST
    Figure CN121739930A_ABST
Patent Text Reader

Abstract

The invention relates to the technical field of batteries, in particular to a battery pole piece straightness measuring method and device, electronic equipment and a storage medium. The method for measuring the straightness of the battery pole piece comprises the following steps of: 1, acquiring image data of the edge of the pole piece in a production process, and establishing image position information; 2, performing edge processing on the acquired image to extract measuring points, correspondingly establishing a reference straight line, and measuring the vertical distance from each sampling point on the edge curve in the detection area to the reference straight line; and 3, judging the measured vertical distance, and distinguishing, judging and triggering an alarm function and a data record according to a required threshold value. According to the technical scheme, whether the edge of the pole piece is straight or not can be automatically detected in real time in an on-line detection mode with high precision, shutdown spot check is not needed, and the problems that manual measurement is low in speed and large in error are solved.
Need to check novelty before this filing date? Find Prior Art

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of batteries, in particular to a battery pole piece straightness measurement method and device, electronic equipment and storage medium. BACKGROUND

[0002] With the new energy battery getting bigger and bigger, the performance requirement getting higher and higher, the pole piece (the "core material" of the battery) must be long and straight. In the pole piece manufacturing process, straightness (edge flatness) is a key indicator to measure whether the edge of the pole piece after slitting or die cutting is straight. If the straightness is not up to standard, it may cause the pole piece alignment deviation in the subsequent winding process, causing internal short circuit, capacity attenuation and even thermal runaway of the battery. Therefore, online straightness detection technology has become an indispensable part of intelligent manufacturing of lithium batteries.

[0003] With the rapid development of new energy vehicles, energy storage systems and consumer electronics, the production capacity of lithium batteries has expanded dramatically, and the requirements for pole piece production efficiency and consistency have significantly increased. The current common method for measuring the straightness of the pole piece mainly includes: (1) manual sampling inspection: using a steel ruler or a straight ruler to measure the edge deviation manually; (2) transferring the cut pole piece to a special straightness measurement device for measurement. The former detection method relies too much on the experience of manual work, and for the parts where the bending degree is not very obvious, it is difficult for the naked eye to distinguish, and it is easy to miss detection, so the reliability of the detection result is difficult to guarantee. The latter method is more reliable, which uses contact or non-contact sensors to collect the shape data of the pole piece. This method is time-consuming and tedious in the detection process, and requires additional cost investment. The above two methods are only suitable for offline detection, and it is difficult to achieve straightness detection in the full length range, which affects the continuity and productivity of production, and offline detection cannot reflect the quality of the pole piece in time, resulting in an increase in the scrap rate. Offline detection is low in efficiency and cannot provide real-time feedback on process problems, while online detection can achieve full detection, instant alarm and process parameter closed-loop control, reducing material waste. With the progress of visual technology, high-speed and high-precision online automatic detection becomes possible - like giving the production line "smart eyes", scanning the edge of the pole piece in real time, checking while producing, adjusting the machine in real time, and ensuring that the pole piece is straight and flawless. With the upgrading of AI and intelligent manufacturing, such detection will be faster and more accurate, and even can predict equipment failure, making battery production zero-defect and fully automated, becoming the "standard" of high-quality and low-cost manufacturing of lithium batteries, with huge market potential. SUMMARY

[0004] The purpose of the present application is to overcome the deficiencies and shortcomings of the prior art, and to provide a battery pole piece straightness measurement method and device, electronic equipment and storage medium.

[0005] In order to achieve the above-mentioned purpose, the following solutions are adopted in the present application:

[0006] A battery pole piece straightness measurement method, comprising the following steps:

[0007] Step 1: Collect image data of the edge of the pole piece in the production process, and establish image position information;

[0008] Step 2: Perform edge processing on the collected image to extract measurement points, and correspondingly establish a reference straight line, and measure the vertical distance of each sampling point on the edge curve in the detection area to the reference straight line;

[0009] Step 3: Judge the measured vertical distance, and distinguish according to the required threshold to trigger the alarm function and data recording.

[0010] The specific steps of step 1 are: setting a face array CCD camera and a coaxial illumination light source along the width direction of the pole piece at the detection position of the pole piece transmission path, and setting an encoder and a pole piece transmission roller synchronously, and establishing a mapping relationship of image acquisition position coordinates.

[0011] The edge of the pole piece in step 1 is the slitting edge and / or the tab edge.

[0012] The specific steps of step 2 are:

[0013] S1: Collect the pole piece area image along the transmission direction of the pole piece, extract the edge curve after image processing, and select the measurement points A and B on the edge contour line;

[0014] S2: Fit A and B into a straight line;

[0015] S3: Measure the vertical distance of each sampling point on the edge curve in the range of AB to the straight line AB;

[0016] S4: According to the detection period along the transmission direction of the pole piece, iterative detection is implemented.

[0017] The range of collecting the pole piece area in step S1 is 0.8-1.2m; preferably 1m; preferably, the distance between AB is 1m; preferably, the detection period of step S4 is 1m.

[0018] The specific steps of step 3 are: alarm and record the deviation position when the vertical distance is greater than 1.5mm.

[0019] When the slitting edge and the tab edge straightness are detected at the same time, the specific steps of step 2) are:

[0020] S1: Collect the pole piece area image along the transmission direction of the pole piece, extract the edge curve after image processing, and select the measurement points A and B on the edge contour line;

[0021] S2: Fit points A and B to a straight line, and measure the vertical distance from each sampling point on the ear side within the range of AB to AB;

[0022] S3: Take point C perpendicular to the tangent or polar side corresponding to point A, such that AC⊥AB. Fit a straight line parallel to AB from point C, which is called ray C.

[0023] S4: Accurately cut out the detection interval CD, which is the same length as AB, along the extension direction of ray C, and measure the vertical distance from each sampling point on the cutting edge within CD to ray C.

[0024] The present invention also includes a battery electrode straightness measuring device for performing the aforementioned measurement method, comprising:

[0025] The image acquisition module is used to acquire image data of the electrode edges;

[0026] An edge extraction module is used to perform edge differentiation on the image data to identify the positional information of the ceramic edge and / or the tab edge.

[0027] The defect analysis module is used to determine whether the current electrode meets the required threshold area based on the position information of the ceramic edge and / or the tab edge. If the required threshold area is not met, an alarm prompt is generated.

[0028] The present invention also includes an electronic device comprising a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the battery electrode straightness measurement method.

[0029] The present invention also includes a computer-readable storage medium having a computer program stored thereon, which, when executed, implements the method for measuring the straightness of battery electrodes.

[0030] Compared with the prior art, the beneficial effects of this application are as follows:

[0031] The technical solution of this application enables online inspection, allowing real-time, automatic, and high-precision checking of electrode edge straightness without downtime for spot checks, thus avoiding the slow speed and large errors of manual measurement. It uses a CCD array for rapid scanning of the electrode, achieving high inspection accuracy and providing feedback to the production line for automatic adjustment, preventing uneven electrode winding, burrs, or short circuits. This method achieves full inspection, real-time alarms, and closed-loop control of process parameters, reducing material waste and upgrading inspection methods. Attached Figure Description

[0032] Figure 1 This is a diagram illustrating the detection method of Embodiment 1 of the present invention;

[0033] Figure 2This is a diagram illustrating the detection method of Embodiment 2 of the present invention. Detailed Implementation

[0034] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0035] Example 1: Online detection method for electrode straightness, comprising the following steps:

[0036] Step 1: Collect image data of the electrode edge during the production process and establish image position information; at the inspection station on the electrode transport path, set up a CCD area array camera and a coaxial illumination source along the electrode width direction, and set up an encoder and electrode transport roller synchronously to establish the image acquisition position coordinate mapping relationship.

[0037] Step 2: Perform edge processing on the acquired image to extract measurement points, and establish a reference straight line accordingly. Measure the vertical distance from each sampling point on the edge curve within the detection area to the reference straight line.

[0038] Specifically, it includes:

[0039] S1: Acquire an image of the electrode region with a length of 1m along the electrode transmission direction (X-axis), extract the slicing edge curve after image processing, and select measurement points A and B 1m apart on the edge contour line;

[0040] S2: Fit a straight line to points A and B. Figure 1 (as shown);

[0041] S3: Measure the perpendicular distance from each sampling point on the cutting edge within the AB range to the straight line AB;

[0042] S4: During the continuous production of electrode sheets, iterative testing is carried out along the electrode sheet transport direction with a testing cycle of 1m.

[0043] Step 4: Determine the measured vertical distance and, based on the required threshold, determine whether to trigger the alarm function and record the data. For example, in Step 3, if the vertical distance is greater than 1.5mm, trigger an alarm and record the deviation position.

[0044] Example 2: Online detection method for electrode straightness, comprising the following steps:

[0045] Step 1: Collect image data of the electrode edge during the production process and establish image position information; at the inspection station on the electrode transport path, set up a CCD area array camera and a coaxial illumination source along the electrode width direction, and set up an encoder and electrode transport roller synchronously to establish the image acquisition position coordinate mapping relationship.

[0046] Step 2: Perform edge processing on the acquired image to extract measurement points, and establish a reference straight line accordingly. Measure the vertical distance from each sampling point on the edge curve within the detection area to the reference straight line.

[0047] Specifically, it includes:

[0048] S1: Acquire an image of the electrode region with a length of 1m along the electrode transport direction (X-axis). After image processing, extract the edge curve of the electrode tab and select measurement points A and B, which are 1m apart on the edge contour line. Figure 2 (as shown);

[0049] S2: Fit points A and B to a straight line, and measure the vertical distance from each sampling point on the ear side within the range of AB to AB;

[0050] S3: Take point C (AC⊥AB) perpendicular to the tangent edge corresponding to point A. Fit a straight line parallel to AB from point C, which is called ray C;

[0051] S4: Accurately cut a 1m detection interval CD along the extension direction of ray C, and measure the vertical distance from each sampling point on the cutting edge within the CD to ray C;

[0052] S5: During the continuous production of electrode sheets, iterative inspection is carried out along the electrode sheet transport direction with an inspection cycle of 1m.

[0053] Step 4: Determine the measured vertical distance and, based on the required threshold, trigger the alarm function and record the data. In Step 3, for vertical distances greater than 1.5mm in S2 and D4, trigger the alarm and record the deviation position.

[0054] Example 3: A battery electrode straightness measuring device for performing the aforementioned measurement method, comprising:

[0055] The image acquisition module is used to acquire image data of the electrode edges;

[0056] An edge extraction module is used to perform edge differentiation on the image data to identify the positional information of the ceramic edge and / or the tab edge.

[0057] The defect analysis module is used to determine whether the current electrode meets the required threshold area based on the position information of the ceramic edge and / or the tab edge. If the required threshold area is not met, an alarm prompt is generated.

[0058] Example 4: An electronic device includes a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the battery electrode straightness measurement method.

[0059] Example 5: A computer-readable storage medium having a computer program stored thereon, which, when executed, implements the method for measuring the straightness of battery electrodes.

[0060] In summary, the technical solution of this application enables online inspection, allowing for real-time, automatic, and high-precision checking of electrode edge straightness without downtime for spot checks, thus avoiding the slow speed and large errors of manual measurement. It utilizes a CCD array for rapid electrode scanning, achieving high inspection accuracy and providing feedback to the production line for automatic adjustments, preventing uneven electrode winding, burrs, or short circuits. This method achieves full inspection, immediate alarms, and closed-loop control of process parameters, reducing material waste and upgrading inspection methods.

[0061] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. It will be apparent to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or basic features of the present invention.

[0062] Therefore, the embodiments should be regarded as exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, it is intended that all variations falling within the meaning and scope of the equivalents of the claims be included within the invention.

[0063] Furthermore, it should be understood that although this specification describes embodiments, not every embodiment contains only one independent technical solution. This narrative style is merely for clarity. Those skilled in the art should consider the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

Claims

1. A method for measuring the straightness of battery electrodes, characterized in that, Includes the following steps: Step 1: Collect image data of the electrode edge during the production process and establish image location information; Step 2: Perform edge processing on the acquired image to extract measurement points, and establish a reference straight line accordingly. Measure the vertical distance from each sampling point on the edge curve within the detection area to the reference straight line. Step 3: Determine the measured vertical distance, and determine the triggering of the alarm function and data recording based on the required threshold.

2. The method for measuring the straightness of battery electrodes according to claim 1, characterized in that, The specific steps of step 1 are as follows: At the station to be inspected along the electrode transfer path, a CCD camera and a coaxial illumination source are set along the width direction of the electrode, and an encoder is set up to synchronize with the electrode transfer roller to establish the image acquisition position coordinate mapping relationship.

3. The method for measuring the straightness of battery electrodes according to claim 1, characterized in that, The electrode edge in step 1 is the slit edge and / or the tab edge.

4. The method for measuring the straightness of battery electrodes according to claim 1, characterized in that, The specific steps of step 2 are as follows: S1: Acquire images of the electrode area along the electrode transport direction, extract edge curves after image processing, and select measurement points A and B on the edge contour line; S2: Fit a straight line to points A and B; S3: Measure the perpendicular distance from each sampling point on the edge curve within the AB range to the straight line AB; S4: Perform iterative detection along the electrode transport direction according to the detection cycle.

5. The method for measuring the straightness of the cut edge of the battery electrode sheet according to claim 4, characterized in that, In step S1, the range of the electrode area collected is 0.8-1.2m; preferably 1m; preferably, the distance between A and B is 1m; preferably, the detection cycle in step S4 is 1m.

6. The method for measuring the straightness of the cut edge of a battery electrode sheet according to claim 1, characterized in that, The specific steps of step 3 are as follows: trigger an alarm when the vertical distance is greater than 1.5mm and record the deviation position.

7. The method for measuring the straightness of battery electrodes according to claim 6, characterized in that, When simultaneously detecting the straightness of the cutting edge and the tab edge, the specific steps of step 2) are as follows: S1: Acquire images of the electrode area along the electrode tab edge or slit edge in the electrode transport direction. After image processing, extract the edge curves of the electrode tab edge or slit edge, and select measurement points A and B on the edge contour line of the electrode tab edge or slit edge. S2: Fit points A and B to a straight line, and measure the vertical distance from each sampling point on the ear side within the range of AB to AB; S3: Take point C perpendicular to the tangent or polar side corresponding to point A, such that AC⊥AB. Fit a straight line parallel to AB from point C, which is called ray C. S4: Accurately cut out the detection interval CD, which is the same length as AB, along the extension direction of ray C, and measure the vertical distance from each sampling point on the cutting edge within CD to ray C.

8. A device for measuring the straightness of battery electrodes, characterized in that, For performing the measurement method according to any one of claims 1-7, comprising: The image acquisition module is used to acquire image data of the electrode edges; An edge extraction module is used to perform edge differentiation on the image data to identify the positional information of the ceramic edge and / or the tab edge. The defect analysis module is used to determine whether the current electrode meets the required threshold area based on the position information of the ceramic edge and / or the tab edge. If the required threshold area is not met, an alarm prompt is generated.

9. An electronic device, characterized in that, It includes a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the battery electrode straightness measurement method according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, It stores a computer program, which, when executed, implements the battery electrode straightness measurement method according to any one of claims 1-7.