CN110057671B - Method for detecting ultrasonic welding peeling strength of lithium battery tab - Google Patents
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- G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N3/08—Investigating strength properties of solid materials by application of mechanical stress by applying steady tensile or compressive forces
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- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M50/00—Constructional details or processes of manufacture of the non-active parts of electrochemical cells other than fuel cells, e.g. hybrid cells
- H01M50/50—Current conducting connections for cells or batteries
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Abstract
The invention discloses a method for detecting the ultrasonic welding peeling strength of a lithium battery tab, which solves the problems that the existing method for detecting the ultrasonic welding peeling strength of the lithium battery tab is single and tedious, has low accuracy and has large material loss in the detection process. The technical scheme is that a mathematical detection model is established in the step S1, a qualified range of a welding effective coefficient K2 can be obtained, the numerical value of the welding effective coefficient K2 can be measured and calculated in the step S2, whether the numerical value of K2 obtained through measurement and calculation in the step S2 falls into the qualified range of the K2 in the step S1 or not is judged, whether the welding peel strength F1 of a first tab assembly to be detected in the step S2 meets the requirement or not is judged, the detection method simplifies subsequent detection on the quality of the ultrasonic welding peel strength of the lithium battery tab, improves the detection efficiency and reduces the loss of detection materials.
Description
Technical Field
The invention relates to the field of lithium battery detection, in particular to a method for detecting ultrasonic welding peeling strength of a lithium battery tab.
Background
Ultrasonic welding is performed by transmitting a high-frequency vibration wave to the surfaces of two objects to be welded, and the surfaces of the two objects are rubbed against each other under pressure to form a fusion between molecular layers. The ultrasonic welding has the advantages of high welding speed, high welding strength and good sealing performance, so the ultrasonic welding technology is applied to the welding process of the lithium battery tab.
The welding of lithium battery tab is to weld the end of the battery core tab and the end of the external tab, and after the welding of the battery core tab and the external tab is completed, the welding quality detection is required. The detection of the peel strength of the welding joint of the polar lug is an important detection in the welding quality detection. At present, a tension tester is generally adopted for detection, and in the detection process, the two ends of the tab to be detected are arranged on the tension tester, so that the data of the peeling strength of the tab welding joint can be measured.
However, the detection of the peel strength of the tab welding joint is a destructive test, and after the tabs of lithium batteries of the same specification and different batches are welded, sampling detection is required, so that the material waste of the tabs of the battery core is caused.
Disclosure of Invention
The invention aims to provide a method for detecting the ultrasonic welding peeling strength of a lithium battery tab, which enables the ultrasonic welding peeling strength of the lithium battery tab to be detected more conveniently and quickly and has less material loss in the detection process by establishing a mathematical detection model.
The technical purpose of the invention is realized by the following technical scheme:
a method for detecting ultrasonic welding peel strength of a lithium battery tab comprises the following steps:
s1, establishing a mathematical detection model, comprising the following steps:
s1.1, carrying out ultrasonic welding on a battery core tab and an external tab to obtain a first tab assembly, testing a plurality of groups of first tab assemblies to obtain a functional relation between effective welding length L1 and welding peeling strength F1 in the first tab assembly, and summarizing values of welding effective coefficients K1 of the plurality of groups of first tab assemblies, wherein the welding effective coefficient K1 is welding peeling strength F1/effective welding length L1;
s1.2, taking a lithium battery foil which is consistent with a battery core tab material and has a consistent shape, carrying out ultrasonic welding on the lithium battery foil and an external tab to obtain a second tab assembly, testing multiple groups of second tab assemblies to obtain a functional relation between effective welding length L2 and welding peeling strength F2 in the second tab assembly, and summarizing values of welding effective coefficients K2 of the multiple groups of second tab assemblies, wherein the welding effective coefficient K2 is welding peeling strength F2/effective welding length L2;
s1.3, carrying out linear regression equation analysis on the welding effective coefficient K1 and the welding effective coefficient K2, and establishing a linear function relation between the welding effective coefficient K1 and the welding effective coefficient K2;
s1.4, obtaining a qualified range of a welding effective coefficient K1 according to a qualified range of welding peel strength F1 specified by a first tab assembly and a corresponding relation between a welding effective coefficient K1 and welding peel strength F1;
s1.5, calculating to obtain a qualified range of the welding effective coefficient K2 according to the qualified range of the welding effective coefficient K1 and the linear function relationship of the welding effective coefficient K1 and the welding effective coefficient K2 in the step S1;
s2, detecting the welding peel strength F1 of the first tab assembly to be detected, wherein the core tab in the first tab assembly to be detected and the core tab in the mathematical detection model have the same structure except that the layer number is different, and the specific detection steps comprise the following steps:
s2.1, measuring the value of the effective welding length L1 of the first tab assembly to be detected;
s2.2, taking the lithium battery foil which is consistent with the electrode lug material of the battery cell to be tested and has a consistent structure, carrying out ultrasonic welding on the lithium battery foil and the external electrode lug to obtain a second electrode lug assembly, and adjusting the preset welding length L2 of ultrasonic welding1Measuring a weld peel strength F2 and an effective weld length L2 in the second pole ear assembly, equivalent to an effective weld length L1;
s2.3, calculating to obtain a numerical value of a welding effective coefficient K2 according to the measured numerical value of the effective welding length L2 and the measured numerical value of the welding peel strength F2;
and S2.4, judging whether the welding peel strength F1 of the first tab assembly to be detected in S2 meets the requirement or not according to the numerical value of the welding effective coefficient K2 measured and calculated in S2 and the qualified range of the welding effective coefficient K2 obtained in S1.
By adopting the technical scheme, a mathematical detection model is established to obtain a functional relation between the effective welding length L1 and the welding peel strength F1 in the first tab assembly, a functional relation between the effective welding length L2 and the welding peel strength F2 in the second tab assembly, and a linear functional relation between the welding effective coefficient K1 and the welding effective coefficient K2, and the qualified range of the welding effective coefficient K2 can be calculated when the welding peel strength F1 is in the qualified range according to the three functional relations.
The first tab assembly to be detected in the step S2 and the first tab assembly in the mathematical detection model in the step S1 have the same structure except that the number of layers is different, and the step S2 can determine whether the welding effective coefficient K2 and K2 of the second tab assembly in the step S2 fall into the qualified range of the welding effective coefficient K2 measured and calculated in the step S1, and if the welding effective coefficient K2 and K2 fall into the qualified range, the welding peel strength F1 of the first tab assembly to be detected in the step S2 meets the requirements; if not, the welding peel strength F1 of the first pole ear assembly to be detected in step S2 is not satisfactory.
Compared with the detection method and the transmission destructive test, the detection method simplifies the subsequent detection of the ultrasonic welding peeling strength quality of the lithium battery tab, so that the detection efficiency of the ultrasonic welding peeling strength of the subsequent lithium battery tab is high, and because the battery tab is connected with other parts of the battery cell during the traditional detection of the ultrasonic welding peeling strength of the lithium battery tab, the traditional detection can consume the battery tab and other battery cell components, and the material loss in the detection test is reduced by adopting the detection method of the ultrasonic welding peeling strength of the lithium battery tab created by the invention.
As a further improvement of the invention, the measurement of the effective welding length L1 and the effective welding length L2 is measured by a metallographic analyzer.
By adopting the technical scheme, because ultrasonic welding is the combination of molecular level, adopt metallographic analysis detector can measure effective weld length L1 and effective weld length L2 more accurately for the mathematics detects the model more accurately, helps promoting the detection precision of lithium cell utmost point ear ultrasonic bonding peel strength's detection.
As a further improvement of the present invention, in step S1.1, a functional relationship between the effective welding length L1 and the welding peel strength F1 in the first tab assembly is measured through at least fifteen different groups of first tab assemblies, and the effective welding length L1 in the fifteen different groups of first tab assemblies is gradually increased; in step S1.2, a functional relationship between the effective weld length L2 and the weld peel strength F2 of the second tab assembly is measured by at least fifteen different sets of second tab assemblies, and the effective weld length L2 of the fifteen different sets of second tab assemblies is gradually increased.
By adopting the technical scheme, at least fifteen different first lug assemblies and at least fifteen second lug assemblies are adopted for establishing the detection mathematical detection model, so that the accuracy of the established mathematical detection model is higher, and the accuracy of the subsequent detection method for the first lug assembly to be detected is higher.
As a further improvement of the present invention, the ultrasonic welding of the cell tab and the external tab in step S1.1 and the ultrasonic welding of the lithium battery foil and the external tab in step S1.2 use the same welding time, amplitude and welding pressure.
By adopting the technical scheme, the welding time, the amplitude and the welding pressure are all parameters in ultrasonic welding, and the ultrasonic welding is carried out in the same parameters, so that the obtained mathematical detection model and the subsequent welding peel strength of the first lug assembly to be detected are more matched, and the subsequent detection accuracy is higher.
As a further improvement of the present invention, the difference between the number of layers of the cell tab in the first tab assembly to be detected in step S2 and the number of layers of the cell tab in the mathematical detection model in step S1 is not more than three.
By adopting the technical scheme, the number of layers of the battery core tab of the mathematical detection model and the difference value of the battery core tab in the first tab assembly to be detected are larger, so that the difference value between the calculated welding peeling strength F1 and the welding peeling strength F1 measured by an actual test is larger.
As a further improvement of the present invention, the effective weld length L2 and the predetermined weld length L2 when measured in S21Is greater than 30 μm, step S2.2 is repeated until the effective weld length L2 and the predetermined weld length L21Is greater than 30 μm.
In conclusion, the invention has the following beneficial effects:
1. a method for detecting ultrasonic welding peel strength of a lithium battery tab comprises the steps of establishing a mathematical detection model through step S1, obtaining a qualified range of a welding effective coefficient K2, calculating a numerical value of K2 of the welding effective coefficient through step S2, judging whether a K2 numerical value obtained through S2 measurement and calculation falls into the qualified range of K2 in S1, and judging whether the welding peel strength F1 of a first tab assembly to be detected in S2 meets requirements or not, wherein the detection method simplifies subsequent detection of ultrasonic welding peel strength quality of the lithium battery tab, improves detection efficiency and reduces loss of detection materials;
2. the effective welding length L1 and the effective welding length L2 in step S1 are both measured by an analytical detector, so that the accuracy of the mathematical detection model established in step S1 is higher, and the calculation of K2 in step S2 is facilitated to be improved.
Detailed Description
A method for detecting the ultrasonic welding peeling strength of a lithium battery tab applies the following equipment: 1. an ultrasonic welder; 2. A metallographic analysis detector; 3. a tensile machine.
When an ultrasonic welding machine is used for welding the battery core lug and the external lug as well as the lithium battery foil and the external lug, the welding time for ultrasonic welding is 180ms, the amplitude is 65%, and the welding pressure is 0.35 Mpa.
The method for detecting the ultrasonic welding peel strength of the lithium battery tab mainly comprises the following steps:
s1, establishing a mathematical detection model;
and S2, detecting the welding peel strength of the first tab assembly to be detected.
The step S1 of establishing the mathematical detection model includes the following steps:
s1.1, carrying out ultrasonic welding on a battery core tab and an external tab to obtain a first tab assembly, obtaining a functional relation between effective welding length L1 and welding peeling strength F1 in the first tab assembly through a test of sixteen groups of first tab assemblies, and summarizing values of welding effective coefficients K1 of the sixteen groups of first tab assemblies, wherein the welding effective coefficients K1 are welding peeling strength F1/effective welding length L1, and the effective welding lengths L1 in the sixteen groups of different first tab assemblies are uniformly distributed between 150mm and 550 mm;
s1.2, taking a lithium battery foil which is consistent with a battery core tab material and has a consistent shape, carrying out ultrasonic welding on the lithium battery foil and an external tab to obtain a second tab assembly, testing sixteen groups of second tab assemblies to obtain a functional relation between effective welding length L2 and welding peeling strength F2 in the second tab assembly, summarizing values of welding effective coefficients K2 of the multiple groups of second tab assemblies, and obtaining a welding effective coefficient K2 which is welding peeling strength F2/effective welding length L2, wherein the effective welding lengths L1 in the sixteen groups of second tab assemblies are uniformly distributed between 200mm and 625 mm;
s1.3, carrying out linear regression equation analysis on the welding effective coefficient K1 and the welding effective coefficient K2, and establishing a linear function relation between the welding effective coefficient K1 and the welding effective coefficient K2;
s1.4, obtaining a qualified range of a welding effective coefficient K1 according to a qualified range of welding peel strength F1 specified by a first tab assembly and a corresponding relation between a welding effective coefficient K1 and welding peel strength F1;
s1.5, calculating to obtain the qualified range of the welding effective coefficient K2 according to the qualified range of the welding effective coefficient K1 and the linear function relationship of the welding effective coefficient K1 and the welding effective coefficient K2 in the step S1.
The first tab assembly comprises a battery cell tab and an external tab, the battery cell tab is made of multiple layers of foils, in the establishment of the mathematical detection model, the battery cell tab is made of 23 layers of foils, and the external tab is a layer of foil; the second electrode lug assembly comprises a lithium battery foil and an external electrode lug, the structure, the size and the material of the lithium battery foil are the same as those of the battery core electrode lug, and the external electrode lug in the second electrode lug assembly is also consistent with the external electrode lug in the first electrode lug assembly, namely the battery core electrode lug is consistent with the external electrode lug, the structure of the lithium battery foil is consistent with that of the external electrode lug, and the functional relation between the effective welding length L1 and the welding peeling strength F1 of the first electrode lug assembly is different from that between the effective welding length L2 and the welding peeling strength F2 of the second electrode lug assembly because the first electrode lug assembly is also connected with other battery core parts.
The sample parameters of the first tab assembly and the second tab assembly of the mathematical detection model in step S1 are shown in table one:
parameter table I, parameter table of first lug assembly and second lug assembly of mathematical detection model
In step S1, the effective weld length L1 and the effective weld length L2 are measured by a metallographic analyzer.
The functional relationship between the effective welding length L1 and the welding peel strength F1 in the first tab assembly, the functional relationship between the effective welding length L2 and the welding peel strength F2 in the second tab assembly, and the linear functional relationship between the effective welding coefficient K1 and the effective welding coefficient K2 in the mathematical model in step S1 are shown in table two:
second table, mathematical detection model function relation table
| Functional relation of F1 and L1 | F1＝-386.9+3.573×L1-0.005452×L12 |
| Functional relation of F2 and L2 | F2＝-597.4+4.252×L2-0.005525×L22 |
| Functional relation of K1 and K2 | K2＝-0.07791+1.101K1 |
Due to the range of weld peel strength F1 specified for the first tab assembly in the specification: f1 is more than or equal to 120N and less than or equal to 260N, and the qualified range of K2 can be obtained according to the mathematical detection model function relation table as follows: k2 is more than or equal to 0.46 and less than or equal to 0.71.
Step S2, detecting the welding peel strength F1 of the first tab assembly to be detected, comprising the following steps:
s2.1, measuring the value of the effective welding length L1 of the first tab assembly to be detected;
s2.2, taking the lithium battery foil which is consistent with the electrode lug material of the battery cell to be tested and has a consistent structure, carrying out ultrasonic welding on the lithium battery foil and the external electrode lug to obtain a second electrode lug assembly, and adjusting the preset welding length L2 of ultrasonic welding1Measuring a weld peel strength F2 and an effective weld length L2 in the second pole ear assembly, equivalent to an effective weld length L1;
s2.3, calculating to obtain a numerical value of a welding effective coefficient K2 according to the measured numerical value of the effective welding length L2 and the measured numerical value of the welding peel strength F2;
and S2.4, judging whether the welding peel strength F1 of the first tab assembly to be detected in the S2 meets the requirement or not according to the numerical value of the welding effective coefficient K2 obtained in the S2.3 through measurement and calculation and the qualified range of the welding effective coefficient K2 obtained in the S1.
Wherein, the first tab assembly in the step S2 and the first tab assembly in the mathematical detection model of the step S1 have the same structure except for the different layers, and the effective welding length L2 and the predetermined welding length L2 measured in the step S2 are the same as each other1Is greater than 30 μm, step S2.2 is repeated until the effective weld length L2 and the predetermined weld length L21Is not more than 30 μm.
In step S2, three groups of first tab assemblies and second tab assemblies to be detected are used, which are respectively a detection sample group i, a detection sample group ii, a detection sample group iii, and a detection sample group iv.
The sample parameters of the first tab assembly and the second tab assembly of the first test sample set are shown in table three:
third table, first tab assembly and second tab assembly parameter table for detecting first sample group
The sample parameters of the first tab assembly and the second tab assembly of the second test sample set are shown in table four:
fourth, parameter table for first lug assembly and second lug assembly of second detection sample set
The sample parameters of the first tab assembly and the second tab assembly of test sample set three are shown in table five:
fifth, parameter table of first tab assembly and second tab assembly for detecting third sample set
Sample parameters for the first tab assembly and the second tab assembly of test sample set four are shown in table six:
sixth, first tab assembly and second tab assembly parameter table for detecting sample group four
According to the step S2, the values of the welding effective coefficient K2 measured by the measurement and calculation of the first detection sample group, the second detection sample group, the third detection sample group and the fourth detection sample group are shown in table seven:
TABLE VII, statistical table for testing the welding efficiency coefficient K2 of sample group
| Group of | K2 | Whether the qualified range of the welding effective coefficient K2 is metEnclose |
| Test sample set 1 | 0.53 | Is that |
| Test sample set two | 0.49 | Is that |
| Test sample group III | 0.59 | Is that |
| Test sample group IV | 0.64 | Is that |
Calculating the theoretical welding peel strength F1 in the detection sample group according to the numerical value of the effective welding coefficient K2 of the detection sample group calculated and obtained in the seventh table and three functional relations provided by a mathematical detection modelTheory of the inventionAnd the welding peel strength of the first tab assembly of the four detection sample groups is detected, and a tensile machine is adopted to directly detect the welding peel strength F1 of the first tab assembly of the four detection sample groupsPractice ofAnd to F1Theory of the inventionAnd F1Practice ofAnd comparing, wherein the specific parameters are shown in the eighth table:
TABLE VIII, statistical table of theoretical welding peel strength and actual welding peel strength of detection sample group
| Group of | F1Theory of the invention | F1Practice of | |F1Practice of-F1Theory of the invention| |
| Test sample set 1 | 207 | 217 | 10 |
| Test sample set two | 184 | 190 | 6 |
| Test sample group III | 214 | 198 | 16 |
| Test sample group IV | 208 | 196 | 12 |
Statistics according to Table eight F1Theory of the inventionAnd F1Practice ofDifference | F1 between themPractice of-F1Theory of the inventionIf the l is less than 16N, the reasonability of the method for detecting the ultrasonic welding peeling strength of the lithium battery tab provided by the invention can be demonstrated.
The present embodiment is only for explaining the present invention, and it is not limited to the present invention, and those skilled in the art can make modifications of the present embodiment without inventive contribution as needed after reading the present specification, but all of them are protected by patent law within the scope of the claims of the present invention.
Claims (6)
1. A method for detecting the ultrasonic welding peeling strength of a lithium battery tab is characterized by comprising the following steps:
s1, establishing a mathematical detection model, comprising the following steps:
s1.1, carrying out ultrasonic welding on a battery core tab and an external tab to obtain a first tab assembly, obtaining a functional relation between effective welding length L1 and welding peeling strength F1 in the first tab assembly through a test of a plurality of groups of first tab assemblies, and summarizing values of welding effective coefficients K1 of the plurality of groups of first tab assemblies, wherein the welding effective coefficient K1= welding peeling strength F1/effective welding length L1;
s1.2, taking a lithium battery foil which is consistent with a battery core tab material and in shape, carrying out ultrasonic welding on the lithium battery foil and an external tab to obtain a second tab assembly, obtaining a functional relation between effective welding length L2 and welding peeling strength F2 in the second tab assembly through a test of multiple groups of second tab assemblies, and summarizing the value of the welding effective coefficient K2 of the multiple groups of second tab assemblies, wherein the welding effective coefficient K2= welding peeling strength F2/effective welding length L2;
s1.3, carrying out linear regression equation analysis on the welding effective coefficient K1 and the welding effective coefficient K2, and establishing a linear function relation between the welding effective coefficient K1 and the welding effective coefficient K2;
s1.4, obtaining a qualified range of a welding effective coefficient K1 according to a qualified range of welding peel strength F1 specified by a first tab assembly and a corresponding relation between a welding effective coefficient K1 and welding peel strength F1;
s1.5, calculating to obtain a qualified range of the welding effective coefficient K2 according to the qualified range of the welding effective coefficient K1 and the linear function relationship between the welding effective coefficient K1 and the welding effective coefficient K2 in the step S1.3;
s2, detecting the welding peel strength F1 of the first tab assembly to be detected, wherein the battery core tab in the first tab assembly to be detected is the same as the battery core tab in the mathematical detection model except that the number of layers is different, and the specific detection steps comprise the following steps:
s2.1, measuring the value of the effective welding length L1 of the first tab assembly to be detected;
s2.2, taking the lithium battery foil which is consistent with the electrode lug material of the battery cell to be tested and has a consistent structure, carrying out ultrasonic welding on the lithium battery foil and the external electrode lug to obtain a second electrode lug assembly, and adjusting the preset welding length L2 of ultrasonic welding1= L1, the effective welding length of the first tab assembly to be detected in step S2.1, and F2 and L2 of the welding peel strength of the second tab assembly are measured;
s2.3, calculating to obtain a numerical value of a welding effective coefficient K2 according to the measured numerical value of the effective welding length L2 and the measured numerical value of the welding peel strength F2;
and S2.4, judging whether the welding peel strength F1 of the first tab assembly to be detected in the S2 meets the requirement or not according to the numerical value of the welding effective coefficient K2 obtained in the S2.3 through measurement and calculation and the qualified range of the welding effective coefficient K2 obtained in the S1.
2. The method for detecting the ultrasonic welding peel strength of the lithium battery tab as claimed in claim 1, wherein the effective welding length L1 and the effective welding length L2 are measured by a metallographic analyzer.
3. The method for detecting the ultrasonic welding peel strength of the lithium battery tab according to claim 1, wherein in step S1.1, the functional relationship between the effective welding length L1 and the welding peel strength F1 in the first tab assembly is measured by at least fifteen different groups of first tab assemblies, and the effective welding length L1 in the fifteen different groups of first tab assemblies is gradually increased;
in step S1.2, a functional relationship between the effective weld length L2 and the weld peel strength F2 in the second tab assembly is measured through at least fifteen different sets of second tab assemblies, and the effective weld length L2 in the fifteen different sets of second tab assemblies is gradually increased.
4. The method for detecting the ultrasonic welding peel strength of the lithium battery tab according to claim 1, wherein the ultrasonic welding of the battery core tab and the external tab in step S1.1 is performed in the same time, amplitude and welding pressure as those used in the ultrasonic welding of the lithium battery foil and the external tab in step S1.2.
5. The method for detecting the ultrasonic welding peel strength of the lithium battery tab according to claim 1, wherein the difference between the number of layers of the cell tab in the first tab assembly to be detected in step S2 and the number of layers of the cell tab in the mathematical detection model in step S1 is no more than three.
6. The method as claimed in claim 1, wherein the effective welding length L2 and the predetermined welding length L2 measured in S2 are determined as the ultrasonic welding peel strength of the tab of the lithium battery1Is greater than 30 μm, step S2.2 is repeated until the effective weld length L2 and the predetermined weld length L21Is not more than 30 μm.
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| CN111649883B (en) * | 2020-05-25 | 2022-04-05 | 河北金力新能源科技股份有限公司 | Evaluation method of circular knife spring of splitting machine and circular knife spring elasticity testing device used in evaluation method |
| CN111584941B (en) * | 2020-05-26 | 2021-10-26 | 苏州凌威新能源科技有限公司 | Method for testing welding effect of battery tab |
| CN115127992B (en) * | 2022-07-20 | 2023-11-14 | 佛山市天劲新能源科技有限公司 | Detection method for ultrasonic welding peel strength of lithium battery tab |
| CN117705705A (en) * | 2024-02-06 | 2024-03-15 | 北京北冶功能材料有限公司 | Honeycomb core splice welding quality detection method and honeycomb core preparation method |
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