CN115629012A - Novel power battery coating surface density detection identification method and system - Google Patents

Novel power battery coating surface density detection identification method and system Download PDF

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CN115629012A
CN115629012A CN202211201869.3A CN202211201869A CN115629012A CN 115629012 A CN115629012 A CN 115629012A CN 202211201869 A CN202211201869 A CN 202211201869A CN 115629012 A CN115629012 A CN 115629012A
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detection
surface density
thickness
density
coating
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邹大鹏
陈辉敏
邝军
曾建成
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Guangzhou Jinxiang Intelligent Package Machinery Co ltd
Guangdong University of Technology
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Guangzhou Jinxiang Intelligent Package Machinery Co ltd
Guangdong University of Technology
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N9/00Investigating density or specific gravity of materials; Analysing materials by determining density or specific gravity
    • G01N9/24Investigating density or specific gravity of materials; Analysing materials by determining density or specific gravity by observing the transmission of wave or particle radiation through the material
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/02Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
    • G01B11/06Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness for measuring thickness ; e.g. of sheet material
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
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Abstract

The invention relates to a novel power battery coating surface density detection and identification method, which can detect the thickness and quality before and after coating through two groups of laser arrays. In addition, the thickness of the substrate is detected based on the laser array 1, the surface density value of the substrate is obtained, the average surface density of the coated substrate and the coated layer is obtained through the detection of a double-surface density instrument, and finally the surface density values obtained at the same positions twice are subtracted to obtain the single-layer coated surface density data; judging areas with qualified or unqualified thickness according to the thickness data to obtain a thickness detection result, and judging areas with qualified or unqualified section density according to the area density data to obtain an area density detection result; and controlling an ink jet printer to perform ink jet printing according to a preset identification relation according to the thickness detection result, the surface density detection result and the visual detection result. The method can reduce the evaluation range of unqualified areas of thickness detection and surface density detection, and reduce the product waste caused by larger error of unqualified product areas actually detected.

Description

Novel power battery coating surface density detection identification method and system
Technical Field
The invention relates to the technical field of coating measurement, in particular to a novel power battery coating surface density detection marking method and system.
Background
The production of the new energy power battery comprises ten working procedures of anode and cathode homogenate, coating, rolling and the like, wherein the coating and the rolling are used as the previous working procedures and are important links for ensuring the performance consistency of the battery finished product and improving the energy density of the power battery. The former procedure composed of the two processes relates to various detections such as surface density detection, surface quality detection, thickness detection, defect detection and the like, and the number of bad defects reaches more than 200, so that the processing and detection efficiency accounts for 30% of the whole production and processing efficiency, and the quality and efficiency of the subsequent production process and the running speed of the whole product production line are directly determined. The current defective area identification error reaches +/-30 cm, and defective sections are cut according to the error, so that the defective rate in the existing new energy power battery front process coating and rolling production process can reach 15%.
The detection methods in the prior art mostly adopt two types, namely a device for rapidly measuring the density of a coating surface in a patent CN207181212U and an online surface density detection system and a detection method in a patent CN102944498A battery pole piece coating production line. The devices and methods described in both patents are suitable for use in the areal density measurement of lithium battery pole piece coating. The patent 'CN 207181212U is a device for quickly measuring the density of a coating surface', manual sampling measurement is adopted, a punch moving up and down under the control of a pedal is matched with a lower die to cut a sample piece, and the sample piece is weighed by an electronic scale to obtain the value of the surface density. However, the method has low detection efficiency, the number of sampling points is very limited, materials are wasted, and the value and the change condition of the areal density cannot be monitored and displayed in real time. The patent CN102944498A battery pole piece coating production line on-line surface density detection system and the detection method thereof adopts a mode of detecting the surface density by rays, and can obtain a real-time value and a change trend of the surface density of the pole piece.
The existing on-line detection of the surface density mainly adopts a ray detection surface density technology, namely a beta-ray surface density measuring instrument and an X-ray surface density measuring instrument. The current scheme is that CN 102944498A-the system and the method for detecting the density of the pole piece surface on line are also the technology for detecting the density of the surface by ray, but the single-surface density detection has a complete missed detection area (the width corresponding to the reversing time), a missed detection area (the actual detection is a line formed by detecting track points formed in a circle area to detect a thick oblique line with the diameter width of the circle, other areas in a rectangle with the thick oblique line as a diagonal line are missed detection areas, but the missed detection areas are unavoidable), only one detection point is arranged along the vertical coating direction, and the detection precision is low.
In addition, the technical principle of detecting the surface density based on rays is as follows:
Figure BDA0003872309690000011
i0 is the ray intensity before transmission; i is the intensity of the transmitted ray; mu is the absorption coefficient of the measured target; rho 0 is the density of the measured target; h is the thickness of the measured target; ρ t is the areal density of the measured target; e is a mathematical constant.
At present, most enterprises measure the surface density by realizing the coating surface density measurement of a plurality of surface density measuring instruments on the same track through the scanning track apposition control technology, and the surface density of single-side coating or double-side coating is obtained by subtracting the data of the apposition measurement surface density.
In the detection identification method, most manufacturers for producing lithium batteries adopt a manual or labeler identification method, so that the labeling position precision and efficiency are low, the winding of the lithium battery pole piece is influenced, and wrinkles are generated.
Disclosure of Invention
The invention aims to solve at least one of the defects of the prior art and provides a novel power battery coating surface density detection marking method and system.
In order to achieve the purpose, the invention adopts the following technical scheme:
specifically, a novel power battery coating surface density detection and identification method is provided, which comprises the following steps:
obtaining a lithium battery pole piece after coating and drying;
performing thickness detection on the lithium battery pole pieces through two groups of linear laser arrays to obtain thickness data;
the lithium battery pole piece is subjected to surface density detection through two groups of ray detection units, a new scheme for measuring and calculating the surface density is provided, and the surface density value of the substrate can be obtained based on laser thickness measurement, the real-time thickness can be detected, and the measurement relation of the surface density can be corrected. The average areal density of the coated substrate and coating was obtained by double-sided densitometry. Finally, subtracting the surface density values obtained from the same positions twice to obtain the surface density of the single-layer coating layer;
judging areas with qualified or unqualified thickness according to the thickness data to obtain a thickness detection result, and judging areas with qualified or unqualified section density according to the area density data to obtain an area density detection result;
and acquiring a thickness detection result, an areal density detection result and a visual detection result, and controlling an ink jet printer to perform ink jet printing according to a preset identification relation according to the thickness detection result, the areal density detection result and the visual detection result.
Further, specifically, when the surface density of the lithium battery pole piece is detected by the two sets of ray detection units, the two sets of ray detection units scan in the same direction by moving side by side,
scanning trajectory of the areal densitometer 1:
x1=v·t
Figure BDA0003872309690000021
scanning trajectory of the areal density gauge 2:
x2=v·t
Figure BDA0003872309690000031
the interval between two sets of ray scanning units is half of the width of lithium battery pole piece, and the stroke of corresponding hold-in range slip table module is half of the pole piece width.
Further, specifically, when the lithium battery pole piece is subjected to surface density detection through the two groups of ray detection units, the two groups of ray detection units are scanned in a non-parallel equidirectional motion mode.
Further, specifically, when the lithium battery pole piece is subjected to surface density detection through the two groups of ray detection units, the two groups of ray detection units are scanned in a non-parallel reverse motion mode.
Further, specifically, the thickness data is combined to perform correction to obtain the areal density data, which includes the following,
the surface density of the substrate can be obtained based on the thickness data obtained by the thickness detection, the average surface density of the coated substrate and the coated coating can be obtained by the surface density detection, finally, the surface density of the single-layer coating can be obtained by subtracting the surface density of the substrate from the average surface density of the substrate and the coated coating obtained at the same position twice,
the technical principle that the areal density of the substrate can be obtained based on the thickness data obtained by the thickness detection is as follows:
Figure BDA0003872309690000032
ρ t =ρ 0 *h; (2)
wherein, I 0 Is the intensity of the ray before transmission, I is the intensity of the ray after transmission, mu is the absorption coefficient of the measured object, rho 0 Is the bulk density of the measured object, h is the thickness of the measured object, ρ t E is the surface density of the measured target, and e is a mathematical constant;
areal density of substrate before coatingρ m01 Is as follows
Before single-layer coating: rho m01 =ρ 01 *h 01 ; (3)
Where ρ is 01 To achieve a known constant bulk density of the substrate before coating, h 01 Obtained for the thickness of the substrate by laser array inspection, p m01 For the calculated areal density of the substrate before coating,
after single-layer coating:
Figure BDA0003872309690000041
ρ m total =ρ General assembly *h General assembly (5)
Wherein, I 0 Intensity of radiation before transmission, I General assembly Intensity of transmitted radiation, mu, after monolayer coating General assembly Constants for calibration of the sample, p m total Average areal density of the substrate and coating layer after coating, h General assembly Is the total thickness of the measured object, p General assembly As the total areal density of the measured object
The values of the layer side density of the single-layer coating can be obtained by the formulae (3) and (5):
ρ m =ρ m totalm01
Further, the specific identification relationship preset by the thickness detection result includes the following,
the distance between the linear laser array and the ink-jet printer is L JP The coating speed is that the time of the occurrence of the detection signal is t0, the time of the processing and the response of the central processing unit is t1, the time of the transmission to the code spraying machine is t2, and the time of the response and the code spraying of the code spraying machine is t3. The relationship between the thickness detection and the code spraying identification of the code spraying machine is as follows:
the time from the detection of the thickness defect to the completion of code spraying is ts, and ts = t0+ t1+ t2+ t3;
distance L between inkjet printer and laser detection point JP ,L JP ≥V*ts;
Time of jet printing delay tdelay, tdelay = L JP /V-ts。
Further, specifically, the relationship of the predetermined mark of the surface density detection result is as follows,
the coating speed is V, and the parallel equidirectional scanning speed of the double-sided densitometer is Vm; the coating width is B, the total width scanned by the double-sided densitometer is Bm, the distance Bm/2 of the double-sided densitometers in the same side by side direction and the distance Lmp of the surface densitometer and the identification system are obtained; time-related parameters: the scanning period T of the surface densitometer, the reversing time td of the surface densitometer, the communication and calculation time tc1 of the surface densitometer and the central processor, the communication time tc2 of the central processor and the marking system, the marking system response and printing time tp and the system response time ts, wherein the subscript m represents surface density detection, p represents a marking system inkjet printer, c represents communication, and the relationship between the surface densitometer detection and the inkjet printer code identification is as follows:
system response time ts ', ts' = = tc1+ tc2+ tp.
The distance Lmp between the code spraying machine and the detection point of the ray unit is not less than V ts.
The delay response print time of the marking system is tdelay' = Lmp/V-ts.
Further, the method also comprises that when the code spraying machine carries out spray printing, the following rules are met,
when the surface density detection, the thickness detection and the visual detection are unqualified, code spraying delay tdelay is carried out, and a qualified mark, a cutting scale mark line and an unqualified mark are spray-printed;
continuously detecting the unqualified condition until the unqualified condition is qualified, spraying a code delay tdelay, spraying and printing an unqualified mark, cutting a scale marking line and spraying and printing a qualified mark;
when no less than one type of unqualified area is overlapped in the surface density detection, the thickness detection and the visual detection, if the position from qualified detection to unqualified detection of a certain type of detection signal is x1, all the overlapped unqualified areas are completely identified, namely, the last appearing detection point is x2 from unqualified to qualified position, the width of the lithium battery pole piece is B, the area of the unqualified area can be represented as A = B (x 2-x 1), and the calculation method of the single type of unqualified area is the same as the process.
The invention also provides a novel power battery coating surface density detection marking system, and the novel power battery coating surface density detection marking method is applied, and comprises the following steps:
the thickness detection module is used for detecting the thickness of the lithium battery pole piece to obtain thickness data;
the surface density detection module comprises two groups of ray detection units and is used for carrying out surface density detection on the lithium battery pole piece to obtain surface density data;
the visual detection module is used for carrying out CCD visual detection on the lithium battery pole piece;
the code spraying machine is used for carrying out mark spraying;
a central processing unit, which comprises a central processing unit,
the to-be-detected object acquisition module is used for acquiring the coated and dried lithium battery pole piece;
the thickness data acquisition module is used for carrying out thickness detection on the lithium battery pole pieces through two groups of linear laser arrays to obtain thickness data;
and the surface density data acquisition module is used for carrying out surface density detection on the lithium battery pole piece through two groups of ray detection units, and the laser thickness measurement can detect the real-time thickness and correct the measurement relation of the surface density to obtain the surface density value of the substrate. And detecting by a double-sided densitometer to obtain the average surface density of the coated substrate and the coating. Finally, subtracting the surface density values obtained from the same positions twice to obtain the surface density of the single-layer coating layer;
the detection result judging module is used for judging the area with qualified or unqualified thickness according to the thickness data to obtain a thickness detection result, and judging the area with qualified or unqualified section density according to the area density data to obtain an area density detection result;
and the spray printing module is used for acquiring a thickness detection result, an areal density detection result and a visual detection result, and controlling the ink-jet printer to spray print according to a preset identification relation according to the thickness detection result, the areal density detection result and the visual detection result.
The invention has the beneficial effects that:
compared with manual sampling for measuring the surface density, the detection method has the advantages that the real-time surface density detection can be realized and the value and the change condition of the surface density can be obtained by detecting the surface density by adopting rays, so that the detection efficiency and the detection precision are higher; compared with single-sided density detection equipment, the double-sided density detection equipment can improve the detection precision by one time, and eliminate a complete missing detection area caused by single-sided density detection.
Compared with a method based on manual or labeller identification, the identification method based on double-sided density detection equipment detection and automatic code spraying of a code spraying machine is provided in the detection identification method, so that the defects of manual or labeller identification are effectively overcome, the identification precision and efficiency are improved, and high automation integration based on machine vision identification, automatic cutting and other processes is facilitated.
On the basis of the principle of surface density detection, a new scheme for measuring and calculating the surface density is provided, and the surface density value of the substrate can be obtained by detecting the real-time thickness and correcting the measurement relation of the surface density based on laser thickness measurement. The average areal density of the coated substrate and coating was obtained by double-sided densitometry. And finally, subtracting the surface density values obtained from the same positions twice to obtain the surface density of the single-layer coating layer.
Drawings
The above and other features of the present disclosure will become more apparent by describing in detail embodiments thereof with reference to the attached drawings in which the same reference numerals are used to designate the same or similar output voltages, and obviously the drawings in the following description are only some examples of the present disclosure and other drawings can be obtained by those skilled in the art without inventive efforts, wherein:
FIG. 1 is a flow chart of a novel power battery coating surface density detection and identification method according to the present invention;
FIG. 2 is a schematic diagram of thickness detection in the novel power battery coating surface density detection marking method of the present invention;
fig. 3 is a schematic diagram of thickness measurement and surface density measurement of the novel power battery coating surface density detection marking method.
FIG. 4 is a schematic view showing the installation of laser array thickness measurement, double-sided densitometer detection of surface density, CCD detection of defects, and inkjet printing by an inkjet printer in the novel power battery coating surface density detection and identification method of the present invention;
FIG. 5 is a schematic view of a scanning track of a single-sided density detection apparatus;
fig. 6 is a schematic diagram of parallel and equidirectional scanning tracks of two groups of ray detection units for performing surface density detection in embodiment 1 of the novel power battery coating surface density detection and identification method of the present invention;
fig. 7 is a schematic diagram of non-side-by-side equidirectional scanning tracks of two groups of ray detection units for performing surface density detection in embodiment 2 of the novel power battery coating surface density detection and identification method of the invention;
fig. 8 is a schematic diagram of non-parallel reverse scanning tracks of two groups of ray detection units for surface density detection in embodiment 3 of the novel power battery coating surface density detection and identification method of the present invention;
fig. 9 is a schematic diagram of the type of the mark of the novel power battery coating surface density detection marking method of the present invention.
Detailed Description
The conception, the specific structure and the technical effects of the present invention will be clearly and completely described in conjunction with the embodiments and the accompanying drawings to fully understand the objects, the schemes and the effects of the present invention. It should be noted that, in the present application, the embodiments and features of the embodiments may be combined with each other without conflict. The same reference numbers will be used throughout the drawings to refer to the same or like parts.
Referring to fig. 1, the invention provides a novel power battery coating surface density detection and identification method, which comprises the following steps:
110, obtaining a lithium battery pole piece after coating and drying;
step 120, with reference to fig. 2, performing thickness detection on the lithium battery pole pieces through two groups of linear laser arrays to obtain thickness data;
and step 130, with reference to fig. 3, detecting the thicknesses of the lithium battery pole pieces before and after coating through two groups of laser arrays, and detecting the thickness of the substrate based on the laser array 1 to obtain the surface density value of the substrate. And detecting by a double-sided densitometer to obtain the average surface density of the coated substrate and the coating. And finally, subtracting the surface density values obtained at the same position twice to obtain the coating layer surface density data of the single layer.
Step 140, judging areas with qualified or unqualified thickness according to the thickness data to obtain a thickness detection result, and judging areas with qualified or unqualified section density according to the area density data to obtain an area density detection result;
and 150, acquiring a thickness detection result, an areal density detection result and a visual detection result by combining with the graph of fig. 4, and controlling an ink jet printer to perform ink jet printing according to a preset identification relation according to the thickness detection result, the areal density detection result and the visual detection result.
The method can replace the conventional method for detecting the reciprocating detection of a single surface density instrument and the state based on manual work or labeling machine identification, and when the linear laser array thickness measurement is used for replacing the single laser reciprocating scanning thickness measurement, on the other hand, the measurement relation based on ray detection of the surface density is corrected, the evaluation range of unqualified areas of thickness detection and surface density detection is reduced, the detection efficiency is improved, the efficiency and the quality of identification of unqualified areas (thickness, surface density and visual detection defects) are improved, and the product waste caused by the large error of the unqualified area actually detected is reduced.
In example 1, specifically, when the area density of the lithium battery pole piece is detected by two sets of radiation detection units, the two sets of radiation detection units scan in the same direction by moving side by side,
scanning trajectory of the areal densitometer 1:
x1=v·t
Figure BDA0003872309690000071
scanning trajectory of the areal density gauge 2:
x2=v·t
Figure BDA0003872309690000081
the interval between two sets of ray scanning units is half of the width of lithium battery pole piece, and the stroke of corresponding hold-in range slip table module is half of the pole piece width.
In the present embodiment 1, it is shown that,
the mode that two-sided density detector scanned adopts the equidirectional motion scanning side by side, and for the scanning of the lithium-ion battery pole piece of adaptation different grade type, interval between two face density scanners can be according to the width arbitrary adjustment of pole piece, need be half of the pole piece width with the interval adjustment of scanner, and the stroke of hold-in range slip table module is half of pole piece width promptly. The double-sided density detection equipment can eliminate the complete missing detection area aiming at the characteristics of the existence of the complete missing detection area and low detection precision of single-sided density detection, the missing detection area is reduced by half because the distance of the bidirectional detection walking is half of the original distance, and two points are detected by each detection line in the vertical coating direction by considering the staggering of the two detection lines, so that the detection precision is doubled, and the reversing is performed in the middle, so that the complete missing detection area caused by the reversing of single-sided density scanning is eliminated to a certain extent. The scanning trajectories of the single-sided density detection apparatus and the double-sided density detection apparatus are shown in fig. 5 and 6.
The double-sided density detection method has the advantages that the double-sided density detection method can eliminate the complete missing detection area aiming at the characteristics of complete missing detection area and low detection precision of single-sided density detection, the missing detection area is reduced by half because the walking distance of the double-sided detection is half of the original walking distance, two points are detected by each detection line in consideration of the staggering of the two detection lines, the detection precision is doubled, and the complete missing detection area is eliminated to a certain extent by reversing in the middle.
Referring to fig. 7, in embodiment 2, specifically, when the area density of the lithium battery pole piece is detected by two sets of ray detection units, the two sets of ray detection units scan in a non-parallel equidirectional motion manner.
In this embodiment, the detection effect in embodiment 1 can also be achieved by arranging the radiation detection units in the above manner, but since the two groups of radiation detection units are not arranged side by side at this time, the two groups of radiation detection units must be designed into two scanning devices, and compared with embodiment 1, the device has a more complex structure, occupies a larger area, and wastes resources.
Referring to fig. 8, in embodiment 3, specifically, when the areal density of the lithium battery pole piece is detected by two sets of radiation detection units, the two sets of radiation detection units scan in a non-parallel reverse motion manner.
In this embodiment, the detection effect in embodiment 1 can also be achieved by arranging the radiation detection units in the above manner, but since the two groups of radiation detection units are not arranged side by side at this time, the two groups of radiation detection units must be designed into two scanning devices, and compared with embodiment 1, the device has a more complex structure, occupies a larger area, and wastes resources.
Specifically, as a preferred embodiment of the present invention, the correction is performed in combination with the thickness data to obtain the areal density data, which includes the following,
the surface density of the substrate can be obtained based on the thickness data obtained by the thickness detection, the average surface density of the coated substrate and the coated coating can be obtained by the surface density detection, finally, the surface density of the single-layer coating can be obtained by subtracting the surface density of the substrate from the average surface density of the substrate and the coated coating obtained at the same position twice,
the technical principle that the areal density of the substrate can be obtained based on the thickness data obtained by the thickness detection is as follows:
Figure BDA0003872309690000091
ρ t =ρ 0 *h; (2)
wherein, I 0 Is the intensity of the ray before transmission, I is the intensity of the ray after transmission, mu is the absorption coefficient of the measured object, rho 0 Is the bulk density of the measured object, h is the thickness of the measured object, ρ t For the tested eyeTarget areal density, e is a mathematical constant;
areal density of substrate before coating rho m01 Is calculated as follows
Before single-layer coating: rho m01 =ρ 01 *h 01 ; (3)
Where ρ is 01 The bulk density of the substrate before coating is a known constant, h 01 Obtained for the thickness of the substrate by laser array inspection, p m01 For the calculated areal density of the substrate before coating,
after single-layer coating:
Figure BDA0003872309690000092
ρ m total =ρ General assembly *h General assembly (5)
Wherein, I 0 Intensity of radiation before transmission, I General assembly Intensity of transmitted radiation, mu, after monolayer coating General assembly Constants for calibration of the sample, p m total Average areal density of the substrate and coating layer after coating, h General (1) Is the total thickness of the measured object, p General assembly As the total areal density of the measured object
The values of the layer side density of the single-layer coating can be obtained by the formulas (3) and (5):
ρ m =ρ m totalm01
As a preferred embodiment of the present invention, specifically, the preset identification relationship of the thickness detection result includes the following,
the distance between the linear laser array and the ink-jet printer is L JP The coating speed is that the time of the occurrence of the detection signal is t0, the time of the processing and the response of the central processing unit is t1, the time of the transmission to the code spraying machine is t2, and the time of the response and the code spraying of the code spraying machine is t3. The relationship between the thickness detection and the code spraying identification of the code spraying machine is as follows:
the time from the detection of the thickness defect to the completion of code spraying is ts, and ts = t0+ t1+ t2+ t3;
distance L between inkjet printer and laser detection point JP ,LJP≥V*ts;
The time of the jet printing delay tdelay,tdelay=L JP /V-ts。
as a preferred embodiment of the present invention, specifically, the preset identification relationship of the detection result of the areal density is as follows,
the coating speed is V, and the parallel equidirectional scanning speed of the double-sided densitometer is Vm; the coating width is B, the total width scanned by the double-sided densitometer is Bm, the distance Bm/2 of the double-sided densitometers in the same side by side direction and the distance Lmp of the surface densitometer and the identification system are obtained; time-related parameters: the scanning period T of the surface densitometer, the reversing time td of the surface densitometer, the communication and calculation time tc1 of the surface densitometer and the central processor, the communication time tc2 of the central processor and the marking system, the marking system response and printing time tp and the system response time ts, wherein the subscript m represents surface density detection, p represents a marking system inkjet printer, c represents communication, and the relationship between the surface densitometer detection and the inkjet printer code identification is as follows:
system response time ts ', ts' = = tc1+ tc2+ tp.
The distance Lmp between the code spraying machine and the detection point of the ray unit is not less than V ts.
The delay response print time of the marking system is tdelay' = Lmp/V-ts.
Through predetermineeing the sign relation, make the sign process can the automation go on, the effectual shortcoming of solving manual work or labeller sign has improved the precision and the efficiency of sign, is convenient for based on the high automation integration of processes such as machine vision discernment and automatic tailorring.
In a preferred embodiment of the present invention, the method further comprises that the inkjet printer, when performing inkjet printing, satisfies the following rules,
when the surface density detection, the thickness detection and the visual detection are unqualified, code spraying delay tdelay is carried out, and a qualified mark, a cutting scale mark line and an unqualified mark are spray-printed;
continuously detecting the unqualified condition until the unqualified condition is qualified, spraying a code delay tdelay, spraying and printing an unqualified mark, cutting a scale marking line and spraying and printing a qualified mark;
when no less than one type of unqualified area is overlapped in the surface density detection, the thickness detection and the visual detection, if the position of a detection signal of a certain type from qualified detection to unqualified detection is x1, all the overlapped unqualified areas are completely identified, namely, the last occurring detection point is x2 from unqualified detection to qualified detection, the width of the lithium battery pole piece is B, the area of the unqualified area can be represented as A = B (x 2-x 1), and the calculation method of the unqualified area of the single type is the same as the process.
Referring to fig. 9, the starting position is jet printed with three qualified marks and arrows indicating the type of jet printing and the direction of winding, and the marked arrows indicate the direction and the corresponding areas of the qualified or unqualified areas. Qualified products and unqualified products can be simultaneously generated, and the cutting scale lines are sprayed and printed in the middle of the detection points, so that the subsequent machine identification and cutting process operation is facilitated. To prevent multiple types of defective area jet printed patterns from overlapping, different types of pattern jet printed patterns should be at different heights. When the multiple types of unqualified areas are overlapped in a crossing mode, recognizing that all the types of unqualified areas are complete and taking the complete unqualified areas as the total unqualified areas and the range of the cutting.
In the embodiment, according to the algorithm of the size of the unqualified area (including the detection of the area density, the thickness and the vision) provided by the method for detecting the identifier of the double-sided density detection equipment, the size of the unqualified area can be accurately determined, and the subsequent intelligent cutting is facilitated.
The invention also provides a novel power battery coating surface density detection identification system, and the novel power battery coating surface density detection identification method is applied, and comprises the following steps:
the thickness detection module is used for detecting the thickness of the lithium battery pole piece to obtain thickness data;
the surface density detection module comprises two groups of ray detection units and is used for carrying out surface density detection on the lithium battery pole piece to obtain surface density data;
the visual detection module is used for carrying out CCD visual detection on the lithium battery pole piece;
the code spraying machine is used for carrying out mark spraying;
a central processing unit, which comprises a central processing unit,
the to-be-detected object acquisition module is used for acquiring the coated and dried lithium battery pole piece;
the thickness data acquisition module is used for carrying out thickness detection on the lithium battery pole pieces through two groups of linear laser arrays to obtain thickness data;
and the surface density data acquisition module is used for detecting the thicknesses of the lithium battery pole pieces before and after coating through the two groups of laser arrays, detecting the thickness of the substrate based on the laser array 1 and obtaining the surface density value of the substrate. The average areal density of the coated substrate and coating was obtained by double-sided densitometry. And finally, subtracting the surface density values obtained at the same positions twice to obtain the surface density data of the single-layer coating.
The detection result judging module is used for judging the area with qualified or unqualified thickness according to the thickness data to obtain a thickness detection result, and judging the area with qualified or unqualified section density according to the area density data to obtain an area density detection result;
and the spray printing module is used for acquiring a thickness detection result, an areal density detection result and a visual detection result, and controlling the ink jet printer to spray print according to a preset identification relation according to the thickness detection result, the areal density detection result and the visual detection result.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution in this embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode.
The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium and can implement the steps of the above-described method embodiments when the computer program is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, read-Only Memory (ROM), random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like.
While the present invention has been described in considerable detail and with particular reference to a few illustrative embodiments thereof, it is not intended to be limited to any such details or embodiments or any particular embodiments, but it is to be construed as effectively covering the intended scope of the invention by providing a broad, potential interpretation of such claims in view of the prior art with reference to the appended claims. Furthermore, the foregoing describes the invention in terms of embodiments foreseen by the inventor for which an enabling description was available, notwithstanding that insubstantial modifications of the invention, not presently foreseen, may nonetheless represent equivalent modifications thereto.
The above description is only a preferred embodiment of the present invention, and the present invention is not limited to the above embodiment, and the present invention shall fall within the protection scope of the present invention as long as the technical effects of the present invention are achieved by the same means. The technical solution and/or the embodiments thereof may be variously modified and varied within the scope of the present invention.

Claims (9)

1. A novel power battery coating surface density detection and identification method is characterized by comprising the following steps:
obtaining a lithium battery pole piece after coating and drying;
performing thickness detection on the lithium battery pole piece through two groups of linear laser arrays to obtain thickness data;
performing surface density detection on the lithium battery pole piece through two groups of ray detection units, and correcting by combining the thickness data to obtain surface density data;
judging areas with qualified or unqualified thickness according to the thickness data to obtain a thickness detection result, and judging areas with qualified or unqualified section density according to the area density data to obtain an area density detection result;
and acquiring a thickness detection result, an areal density detection result and a visual detection result, and controlling an ink jet printer to perform ink jet printing according to a preset identification relation according to the thickness detection result, the areal density detection result and the visual detection result.
2. The novel power battery coating surface density detection marking method as claimed in claim 1, wherein specifically, when the surface density of the lithium battery pole piece is detected by two sets of ray detection units, the two sets of ray detection units scan in the same direction by side, and at this time,
scanning trajectory of the areal densitometer 1:
x1=v·t
Figure FDA0003872309680000011
scanning trajectory of the areal density gauge 2:
x2=v·t
Figure FDA0003872309680000012
the interval between two sets of ray scanning units is half of the width of lithium battery pole piece, and the stroke of corresponding hold-in range slip table module is half of the pole piece width.
3. The novel power battery coating surface density detection marking method as claimed in claim 1, wherein specifically, when the surface density of the lithium battery pole piece is detected by two sets of ray detection units, the two sets of ray detection units scan in a non-side-by-side equidirectional motion manner.
4. The novel power battery coating surface density detection marking method as claimed in claim 1, wherein specifically, when the surface density of the lithium battery pole piece is detected by two sets of ray detection units, the two sets of ray detection units scan in a non-side-by-side reverse motion manner.
5. The novel power battery coating surface density detection and identification method as claimed in any one of claims 2, 3 and 4, wherein the surface density data is obtained by correcting in combination with the thickness data, and comprises the following steps,
the surface density of the substrate can be obtained based on the thickness data obtained by the thickness detection, the average surface density of the coated substrate and the coated coating can be obtained by the surface density detection, finally, the surface density of the single-layer coating can be obtained by subtracting the surface density of the substrate from the average surface density of the substrate and the coated coating obtained at the same position twice,
the technical principle that the areal density of the substrate can be obtained based on the thickness data obtained by the thickness detection is as follows:
Figure FDA0003872309680000021
ρ t =ρ 0 *h; (2)
wherein, I 0 Is the intensity of the ray before transmission, I is the intensity of the ray after transmission, mu is the absorption coefficient of the measured object, rho 0 Is the bulk density of the measured object, h is the thickness of the measured object, ρ t Is the areal density of the object to be measured,e is a mathematical constant;
areal density of substrate before coating ρ m01 Is as follows
Before single-layer coating: rho m01 =ρ 01 *h 01 ; (3)
Where ρ is 01 To achieve a known constant bulk density of the substrate before coating, h 01 Obtained for the thickness of the substrate by laser array inspection, p m01 For the calculated areal density of the substrate before coating,
after single-layer coating:
Figure FDA0003872309680000022
ρ m total =ρ General assembly *h General assembly (5)
Wherein, I 0 Intensity of radiation before transmission, I General assembly Intensity of transmitted radiation, mu, after monolayer coating General assembly Constants for calibration of the sample, p m total Average areal density of the substrate and coating layer after coating, h General assembly Total thickness of the measured object, p General assembly As the total areal density of the measured object
The values of the layer side density of the single-layer coating can be obtained by the formulas (3) and (5):
ρ m =ρ m total-p m01
6. The novel power battery coating surface density detection and identification method as claimed in claim 1, wherein the specific identification relationship preset by the thickness detection result comprises the following,
the distance between the linear laser array and the ink-jet printer is L JP The coating speed is t0, the time of the detection signal generation of V is t1, the time of the central processing unit processing and responding is t1, the time of transmitting to the ink-jet printer is t2, and the time of the ink-jet printer responding and code-jet printing is t3, so that the relation between the thickness detection and the code-jet printer code-jet identification is as follows:
the time from the detection of the thickness defect to the completion of code spraying is ts, and ts = t0+ t1+ t2+ t3;
distance L between code spraying machine and laser detection point JP ,L JP ≥V*ts;
The time of the jet printing delay tdelay, tdelay = LJP/V-ts.
7. The novel power battery coating surface density detection marking method as claimed in claim 1, wherein, specifically, the preset marking relationship of the surface density detection result is as follows,
the coating speed is V, and the parallel equidirectional scanning speed of the double-sided densitometer is Vm; the coating width is B, the total width scanned by the double-sided densitometer is Bm, the distance Bm/2 of the double-sided densitometers in the same side by side direction and the distance Lmp of the surface densitometer and the identification system are obtained; time-related parameters: the scanning period T of the surface densitometer, the reversing time td of the surface densitometer, the communication and calculation time tc1 of the surface densitometer and the central processor, the communication time tc2 of the central processor and the marking system, the marking system response and printing time tp and the system response time ts, wherein the subscript m represents surface density detection, p represents a marking system inkjet printer, c represents communication, and the relationship between the surface densitometer detection and the inkjet printer code identification is as follows:
system response time ts ', ts' = = tc1+ tc2+ tp,
the distance Lmp between the code spraying machine and the detection point of the ray unit is more than or equal to V ts,
the delay response print time of the marking system is tdelay' = Lmp/V-ts.
8. The method for detecting and marking the coating surface density of the novel power battery as claimed in claim 1, wherein the method further comprises that the ink-jet printer satisfies the following rules when performing jet printing,
when the surface density detection, the thickness detection and the visual detection are unqualified, code spraying delay tdelay is carried out, and a qualified mark, a cutting scale mark line and an unqualified mark are jet-printed;
continuously detecting the unqualified condition until the unqualified condition is qualified, spraying a code delay tdelay, spraying and printing an unqualified mark, cutting a scale marking line and spraying and printing a qualified mark;
when no less than one type of unqualified area is overlapped in the surface density detection, the thickness detection and the visual detection, if the position of a detection signal of a certain type from qualified detection to unqualified detection is x1, all the overlapped unqualified areas are completely identified, namely, the last occurring detection point is x2 from unqualified detection to qualified detection, the width of the lithium battery pole piece is B, the area of the unqualified area can be represented as A = B (x 2-x 1), and the calculation method of the unqualified area of the single type is the same as the process.
9. A novel power battery coating surface density detection and identification system is characterized in that the novel power battery coating surface density detection and identification method as claimed in any one of claims 1-8 is applied, and comprises the following steps:
the thickness detection module is used for detecting the thickness of the lithium battery pole piece to obtain thickness data;
the surface density detection module comprises two groups of ray detection units and is used for carrying out surface density detection on the lithium battery pole piece to obtain surface density data;
the visual detection module is used for carrying out CCD visual detection on the lithium battery pole piece;
the code spraying machine is used for carrying out mark spraying;
a central processing unit, which comprises a central processing unit,
the to-be-detected object acquisition module is used for acquiring the coated and dried lithium battery pole piece;
the thickness data acquisition module is used for carrying out thickness detection on the lithium battery pole piece through two groups of linear laser arrays to obtain thickness data;
the surface density data acquisition module is used for carrying out surface density detection on the lithium battery pole piece through two groups of ray detection units and correcting the surface density data by combining the thickness data to obtain surface density data;
the detection result judging module is used for judging the area with qualified or unqualified thickness according to the thickness data to obtain a thickness detection result, and judging the area with qualified or unqualified section density according to the area density data to obtain an area density detection result;
and the spray printing module is used for acquiring a thickness detection result, an areal density detection result and a visual detection result, and controlling the ink-jet printer to spray print according to a preset identification relation according to the thickness detection result, the areal density detection result and the visual detection result.
CN202211201869.3A 2022-09-29 2022-09-29 Novel power battery coating surface density detection identification method and system Pending CN115629012A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115993104A (en) * 2023-03-23 2023-04-21 杭州百子尖科技股份有限公司 Method for positioning thickness measuring defect code spraying of new energy battery pole piece production line
CN117073604A (en) * 2023-10-18 2023-11-17 钛玛科(北京)工业科技有限公司 Coating thickness measuring method, device, equipment and storage medium
CN117571757A (en) * 2023-11-20 2024-02-20 深圳市日联科技有限公司 Quick CT detection device of binary channels lamination lithium cell

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115993104A (en) * 2023-03-23 2023-04-21 杭州百子尖科技股份有限公司 Method for positioning thickness measuring defect code spraying of new energy battery pole piece production line
CN117073604A (en) * 2023-10-18 2023-11-17 钛玛科(北京)工业科技有限公司 Coating thickness measuring method, device, equipment and storage medium
CN117073604B (en) * 2023-10-18 2024-01-09 钛玛科(北京)工业科技有限公司 Coating thickness measuring method, device, equipment and storage medium
CN117571757A (en) * 2023-11-20 2024-02-20 深圳市日联科技有限公司 Quick CT detection device of binary channels lamination lithium cell

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