Method for analyzing effect of lithium copper foil additive on copper deposition and application thereof
By adding the test solution multiple times and scanning the voltammetric characteristic curve, combined with electrochemical methods to determine the type of additive and measure its concentration, the problem of inaccurate qualitative and quantitative analysis of lithium battery copper foil additives was solved, achieving efficient and accurate analytical results.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- 江西铜博科技股份有限公司
- Filing Date
- 2026-02-06
- Publication Date
- 2026-05-29
AI Technical Summary
Existing technologies cannot precisely control the type and concentration of additives in lithium-ion battery copper foil, leading to misjudgments in qualitative analysis and low testing efficiency.
By repeatedly adding the test solution and scanning the voltammetric characteristic curve, the type of additive was determined by electrochemical methods, and the concentration was measured by CVS cyclic voltammetric stripping method, LAT linear approximation method and RC response curve method, thus achieving efficient and accurate qualitative screening and quantitative analysis.
This method enables efficient and accurate qualitative screening and quantitative analysis of additives for lithium-ion battery copper foil, solving the problems of misjudgment of additive types and low testing efficiency in traditional methods.
Smart Images
Figure CN122109261A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of lithium battery copper foil additive detection technology, and in particular to an analytical method for the effect of lithium battery copper foil additives on copper deposition and its application. Background Technology
[0002] With the rapid development of new energy vehicles, energy storage systems, and consumer electronics, the demand for lithium-ion battery copper foil continues to grow, and lithium-ion battery copper foil is developing towards thinner, lighter, and higher-performance characteristics. Additives play a crucial role in the manufacturing process of lithium-ion battery copper foil, controlling its properties such as tensile strength, ductility, surface smoothness, and gloss.
[0003] Additives for lithium-ion battery copper foil need to have the ability to precisely control the copper deposition process, but the industry has long been limited by the technological monopoly of additive formulations. Traditional methods (such as CN 111999369A) can only qualitatively judge performance by comparing benchmark curves, and cannot quantify the effect concentration. Furthermore, they do not establish a logical connection between type determination and quantitative analysis, resulting in problems such as easy misjudgment of additive type and low testing efficiency. Summary of the Invention
[0004] This invention provides an analytical method for the effect of lithium battery copper foil additives on copper deposition and its application, which can achieve efficient and accurate qualitative screening and quantitative analysis.
[0005] To solve the above-mentioned technical problems, one technical solution adopted by the present invention is: to provide an analytical method for the effect of lithium battery copper foil additives on copper deposition, comprising: A pre-configured test solution is added multiple times to a pre-configured simulated solution. After each addition of the test solution, the corresponding first voltammetric characteristic curve is scanned. The type of the test solution is determined based on multiple first voltammetric characteristic curves. Based on the type determination result, select the corresponding electrochemical method to measure the effective concentration of the test solution; Output the type of the test solution and its corresponding effective concentration.
[0006] According to an embodiment of the present invention, determining the type of the test liquid based on a plurality of first voltammetric characteristic curves includes: Obtain the peak intensity and potential change from the first current-voltage characteristic curve; If the peak intensity increases and the potential rises, then the test liquid is determined to be an accelerator. If the peak intensity drops to the bottom and the potential decreases, then the test solution is determined to be an inhibitor. If the peak intensity does not drop to the bottom and the potential decreases, then the test liquid is determined to be a leveling agent or an inhibitor.
[0007] According to one embodiment of the present invention, determining whether the test solution is a leveling agent or an inhibitor if the peak intensity does not drop to the bottom and the potential decreases includes: If the peak intensity does not drop to the bottom and the potential decreases, the simulated liquid and the pre-prepared first auxiliary liquid are added to the reaction vessel. After the peak intensity drops to the bottom, the test liquid is added multiple times. After each addition of the test liquid, the corresponding second voltammetric characteristic curve is scanned and the new potential change is obtained from the second voltammetric characteristic curve. If the new potential increases, the type of the test liquid is determined to be a leveling agent; If the new potential remains unchanged, the test solution is determined to be an inhibitor.
[0008] According to one embodiment of the present invention, before adding a pre-configured test solution multiple times to the pre-configured simulated solution, scanning the corresponding first voltammetric characteristic curve after each addition of the test solution, and determining the type of the test solution based on multiple first voltammetric characteristic curves, the method further includes: The simulated solution, standard solution, test solution, first auxiliary solution, second auxiliary solution, and third auxiliary solution are pre-configured. The simulated solution comprises copper sulfate, hydrochloric acid, and sulfuric acid; The first auxiliary solution is composed of an inhibitor, the second auxiliary solution is composed of an accelerator, and the third auxiliary solution is composed of an accelerator and an inhibitor.
[0009] According to one embodiment of the present invention, the first auxiliary liquid has a concentration of 50 g / L, and the first auxiliary liquid includes polyethylene glycol monomer or sodium aminoethyl sulfonate; The concentration of the second auxiliary solution is 1 g / L, and the second auxiliary solution includes one of sodium polydithiopropene sulfonate monomer, sodium dithiopropane sulfonate, thiourea, and sodium mercaptopropane sulfonate. The third auxiliary liquid is a mixture of equal volumes of the first auxiliary liquid and the second auxiliary liquid.
[0010] According to one embodiment of the present invention, the step of selecting a corresponding electrochemical method to measure the effective concentration of the test solution based on the type determination result includes: When the type of the test solution is an accelerator, the first effect concentration is calculated by CVS cyclic voltammetric stripping method. When the test solution is an inhibitor, the LAT linear approximation method is selected to calculate the second effect concentration. When the test liquid is a leveling agent, the RC response curve method is selected to measure the third effect concentration.
[0011] According to one embodiment of the present invention, the calculation of the first effect concentration by selecting CVS cyclic voltammetric stripping method includes: After adding the simulated solution and the first auxiliary solution to the reaction vessel, the voltammetric characteristic curve is scanned. After adding the test solution, the voltammetric characteristic curve is scanned again. The second auxiliary solution is added twice in succession, and the voltammetric characteristic curve is scanned after each addition to obtain the voltammetric characteristic curve change graph. The variation curve of the current-voltage characteristic curve was integralized and linearly fitted by the CVS cyclic voltammetric stripping method. The concentration of the first effect is calculated from the linear fitting results.
[0012] According to one embodiment of the present invention, the calculation of the second effect concentration using the LAT linear approximation method includes: After adding the simulated solution to the reaction vessel, an initial scan is performed. The standard solution is then added multiple times for testing until the test is completed, thus obtaining the first standard curve. After adding the simulated liquid to the reaction vessel, an initial scan is performed. The test liquid is then added multiple times for testing until the test is completed, and the first measurement curve is obtained. The volume-peak intensity ratio curve is obtained by combining the LAT linear approximation method with the first standard curve and the first measurement curve. The second effect concentration is calculated based on the volume-peak intensity ratio curve and the preset formula.
[0013] According to one embodiment of the present invention, the method of selecting RC response curves to measure the third effect concentration includes: The simulation solution and the third auxiliary solution were added to the reaction vessel for the initial scan. The standard solution was added multiple times for testing until the test was completed, and the second standard curve was obtained. The simulated liquid and the third auxiliary liquid were added to the reaction vessel for an initial scan. The test liquid was added repeatedly until the test was completed, and a second measurement curve was obtained. The concentration-peak intensity ratio curve is obtained by combining the RC response curve method with the second standard curve and the second measurement curve; The third effect concentration is output using an electrochemical workstation based on the concentration-peak intensity ratio curve.
[0014] To solve the above-mentioned technical problems, another technical solution adopted by the present invention is: to provide an analytical method for the effect of the lithium battery copper foil additive on copper deposition in the incoming inspection of lithium battery copper foil additives.
[0015] The beneficial effects of this invention are as follows: A method for analyzing the effect of lithium battery copper foil additives on copper deposition includes: adding a pre-prepared test solution to a pre-prepared simulated solution multiple times; scanning the corresponding first voltammetric characteristic curve after each addition of the test solution; determining the type of the test solution based on multiple first voltammetric characteristic curves; selecting a corresponding electrochemical method to measure the effect concentration of the test solution based on the type determination result; outputting the type of the test solution and the corresponding effect concentration; by using multiple stepwise sample additions and multiple sets of voltammetric characteristic curves in combination, the type is screened by utilizing the differences in the electrochemical behavior of different additives; and the concentration is inverted by calling the matching electrochemical model based on the determined type. This method can achieve efficient and accurate qualitative screening and quantitative analysis, solving the problems of inaccurate qualitative analysis, difficulty in quantification, and low efficiency of traditional methods for additives. Attached Figure Description
[0016] Figure 1 This is a flowchart illustrating an embodiment of the present invention of a method for analyzing the effect of lithium battery copper foil additives on copper deposition.
[0017] Figure 2 This is a flowchart illustrating the method for analyzing the effect of lithium-ion battery copper foil additives on copper deposition, according to another embodiment of the present invention.
[0018] Figure 3 This is a flowchart illustrating the method for analyzing the effect of lithium-ion battery copper foil additives on copper deposition, according to another embodiment of the present invention.
[0019] Figure 4 It is the voltammetric characteristic change curve of the accelerator performance analysis.
[0020] Figure 5 It is a linear fitting curve of concentration-peak intensity ratio for accelerator performance analysis.
[0021] Figure 6 This is the first measurement curve for inhibitor performance analysis.
[0022] Figure 7 It is the volume-peak intensity ratio curve for inhibitor performance analysis.
[0023] Figure 8 This is the second measurement curve for the performance analysis of the leveling agent.
[0024] Figure 9 This is the concentration-peak intensity ratio curve for the performance analysis of the leveling agent. Detailed Implementation
[0025] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.
[0026] The terms "first," "second," and "third" used in this invention are for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first," "second," or "third" may explicitly or implicitly include at least one of that feature. In the description of this invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified. All directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of this invention are only used to explain the relative positional relationships and movements between components in a specific orientation (as shown in the figures). If the specific orientation changes, the directional indications also change accordingly. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or devices.
[0027] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.
[0028] Figure 1 This is a flowchart illustrating an embodiment of the method for analyzing the effect of lithium-ion battery copper foil additives on copper deposition. It should be noted that if substantially the same results are obtained, the method of this invention is not necessarily identical. Figure 1 The illustrated process sequence is limited. For example... Figure 1 As shown, the method includes the following steps: Step S10: Add the pre-configured test solution to the pre-configured simulation solution multiple times. After each addition of the test solution, scan the corresponding first voltammetric characteristic curve. Determine the type of test solution based on the multiple first voltammetric characteristic curves.
[0029] In step S10, a pre-prepared simulation solution is used to simulate the actual electrolytic deposition environment of lithium-ion battery copper foil. The simulation solution comprises copper sulfate, hydrochloric acid, and sulfuric acid. The concentrations of copper sulfate, hydrochloric acid, and sulfuric acid differ from the production process concentrations by ±4 g / L, ±6 mg / L, and ±10 g / L, respectively, with the simulation solution concentration being half of the production process concentration. The test solution is either the additive stock solution or the working tank solution to be analyzed. For ease of comparison, the concentration of the test solution is uniformly set to 1 g / L.
[0030] This embodiment uses a three-electrode system to acquire the first voltammetric characteristic curve. The specific acquisition process is as follows: Initially, 20 mL of pre-prepared simulated solution is injected into the electrolytic cell, and a magnetic stirrer is turned on to maintain a constant flow rate. Linear sweep voltammetry (LSV) is used, with the potential window set to -0.4 V to -1.2 V (vs. SCE), and the scan rate at 50 mV / s. The curve at this point is recorded as a blank baseline. A certain volume of the test solution is quantitatively injected into the electrolytic cell each time (e.g., 0.05 mL of 1 g / L test solution is added each time), followed by standing the electrolytic cell for 5 minutes to ensure that the additive molecules reach adsorption equilibrium at the electrode interface. After equilibrium, the above scanning procedure is executed again, and a new first voltammetric characteristic curve is recorded. This "sample addition-equilibration-scanning" step is repeated to obtain multiple sets of first voltammetric characteristic curves. The acquired multiple sets of voltammetric characteristic curves are digitally processed to extract key feature values, including but not limited to peak intensity and potential changes. The type of test solution is determined based on the extraction results.
[0031] As one example, please refer to Figure 2 Step S10 further includes the following steps: Step S101: Obtain the peak intensity and potential change from the first current-voltage characteristic curve.
[0032] In this step, after the electrochemical workstation collects the first volt-ampere characteristic curve (CV curve) after multiple additions of the test solution, the raw data is first processed to reduce noise. The Savitzky-Golay filtering algorithm is used to eliminate high-frequency random noise while preserving the peak shape characteristics of the curve. The current extrema are found using the first derivative method (dI / dE); the absolute value of the current when the derivative changes from positive to negative is the peak intensity. The potential is the copper deposition initiation potential, determined using the tangent method.
[0033] Step S102: If the peak intensity increases and the potential rises, then the type of the test liquid is determined to be an accelerator.
[0034] In this step, the promoter at low concentrations can form catalytically active sites on the electrode surface, reducing the nucleation barrier and leading to an increase in peak current and a positive shift in deposition potential. When both peak intensity and potential increase simultaneously, the system triggers the "promoter" determination flag.
[0035] Step S103: If the peak intensity drops to the bottom and the potential decreases, the test solution is determined to be an inhibitor.
[0036] In this step, the long-chain molecules of the inhibitor cover the electrode surface, blocking active sites and increasing diffusion resistance, resulting in a decrease in limiting current and a hysteresis in hydrogen evolution / deposition potential. This is a typical characteristic of polymeric inhibitors.
[0037] Step S104: If the peak intensity does not drop to the bottom and the potential decreases, the type of the test liquid is determined to be a leveling agent or an inhibitor.
[0038] In this step, although low molecular weight leveling agents (such as nitrogen-containing heterocyclic compounds) or partially compounded systems can change the double layer structure (leading to a negative potential shift), the amount of adsorption is insufficient to completely block the current (so the peak intensity does not reach the bottom).
[0039] As one example, please refer to Figure 3 Step S104 further includes the following steps: Step S1041: If the peak intensity does not drop to the bottom and the potential decreases, add the simulation solution and the pre-prepared first auxiliary solution to the reaction vessel. After the peak intensity drops to the bottom, add the test solution multiple times. After each addition of the test solution, scan the corresponding second voltammetric characteristic curve and obtain the new potential change from the second voltammetric characteristic curve.
[0040] In this step, the first auxiliary liquid is a strong adsorption competitor. Its function is to strongly adsorb onto the electrode surface through the cationic head group, displacing the originally weakly adsorbed test liquid molecules and forcing the test liquid molecules to compete for adsorption again.
[0041] Step S1042: If the new potential increases, the type of the test liquid is determined to be a leveling agent.
[0042] In this step, if the molecules of the test liquid can still cause a positive potential shift under a strong adsorption competition environment, it indicates that its binding force with the electrode is stronger than that of the first auxiliary liquid, and it has a significant tendency for catalytic deposition. Such substances are typically used as leveling agents in copper foil production. They selectively adsorb onto microscopic protrusions, promoting preferential deposition of copper ions at those locations, thereby achieving macroscopic leveling.
[0043] Step S1043: If the new potential remains unchanged, the test solution is determined to be an inhibitor.
[0044] In this step, if the absolute value of the potential change is less than 5mV (i.e., no significant change) after adding the first auxiliary liquid and then the test solution, it indicates that the molecules of the test solution are completely displaced by the first auxiliary liquid and cannot form an effective adsorption layer on the electrode surface. These substances are usually non-adsorption or weakly adsorption inhibitors that affect conductivity only through ionic strength effects and have no specific leveling effect.
[0045] Step S20: Based on the type determination result, select the corresponding electrochemical method to measure the effective concentration of the test solution.
[0046] In this step, as an example, when the test solution is an accelerator (such as a brightener or grain refiner), the CVS cyclic voltammetric stripping method is selected to calculate the first effect concentration. Specifically, after adding the simulation solution and the first auxiliary solution to the reaction vessel, the voltammetric characteristic curve is scanned. After adding the test solution again, the voltammetric characteristic curve is scanned again. The second auxiliary solution is added twice, and the voltammetric characteristic curve is scanned after each addition to obtain the voltammetric characteristic curve change graph. The voltammetric characteristic curve change graph is integrally fitted using the CVS cyclic voltammetric stripping method, and the first effect concentration is calculated from the linear fitting result.
[0047] For example, after completing the type determination, the test mode is switched to CVS. The potential scan range is set to -0.4V to -1.0V (vs. SCE), and the scan speed is controlled at 5-10 mV / s. 40mL of the simulated solution is poured into a reaction vessel, and 2mL of the first auxiliary solution is added. The first auxiliary solution can reduce the substrate signal, increase the sensitivity of the matrix solution to the promoter, and eliminate the interference of the original inhibitor. After scanning, the initial voltammetric characteristic curve is obtained. Then, 2mL of the test solution is added, and the scan is repeated. Then, 0.05mL of the second auxiliary solution is added twice more to obtain the voltammetric characteristic change curve (e.g., ...). Figure 4 (as shown) and the linear fitting curve of concentration-peak intensity ratio (as shown) Figure 5 As shown in the figure, the concentration of the first effect is calculated.
[0048] As one embodiment, when the test solution is an inhibitor (such as polyether, gelatin, or halide ions), the LAT linear approximation method is selected to calculate the second effect concentration. Specifically, after adding the simulated solution to the reaction vessel, an initial scan is performed, and the standard solution is added multiple times for testing until the test is completed, obtaining the first standard curve; after adding the simulated solution to the reaction vessel, an initial scan is performed, and the test solution is added multiple times for testing until the test is completed, obtaining the first measurement curve; the LAT linear approximation method is used to combine the first standard curve and the first measurement curve to obtain the volume-peak intensity ratio curve; the second effect concentration is calculated based on the volume-peak intensity ratio curve and a preset formula.
[0049] For example, 10 mL of simulated solution is poured into a reaction vessel, and 1 mL of standard solution is added multiple times to obtain the first standard curve. Then, a certain volume (1 mL in this example) of the test solution is added multiple times (the volume of the test solution is generally 0.1~2 mL, adjusted according to the test curve, ensuring that results are obtained within 4~7 additions of the test solution), to obtain the first measurement curve (e.g., ...). Figure 6 As shown), the volume-peak intensity ratio curve (as shown) is obtained by combining the LAT linear approximation method with the first standard curve and the first measurement curve. Figure 7 As shown), the concentration of the second effect is obtained according to the preset formula, which is: , The concentration of the standard solution. For standard liquid volume, The concentration of the test solution is... This represents the volume of the liquid to be measured.
[0050] As one embodiment, when the test solution is a leveling agent (such as a nitrogen-containing heterocyclic compound), the RC response curve method is selected to measure the third effect concentration. Specifically, a simulation solution and a third auxiliary solution are added to the reaction vessel for an initial scan, and the standard solution is added multiple times for testing until the test is completed, obtaining a second standard curve; a simulation solution and a third auxiliary solution are added to the reaction vessel for an initial scan, and the test solution is added multiple times for testing until the test is completed, obtaining a second measurement curve; the concentration-peak intensity ratio curve is obtained by combining the RC response curve method with the second standard curve and the second measurement curve; the third effect concentration is output using an electrochemical workstation based on the concentration-peak intensity ratio curve.
[0051] For example, 20 mL of the simulated solution is poured into a reaction vessel, 2 mL of the third auxiliary solution is added, and then 1 mL of the standard solution is added repeatedly to obtain the second standard curve; the simulated solution and the third auxiliary solution are added to the reaction vessel for the initial scan, and after the scan, the test solution is added repeatedly until the test is completed to obtain the second measurement curve (e.g., Figure 8 As shown), the concentration-peak intensity ratio curve (as shown) is obtained by combining the RC response curve method with the second standard curve and the second measurement curve. Figure 9 As shown in the figure, the leveling agent concentration can be obtained. The leveling agent concentration is automatically calculated by the built-in software of the electrochemical workstation.
[0052] Step S30: Output the type of the test solution and the corresponding effect concentration.
[0053] In this step, the output can be data visualization, such as a test report automatically generated by the system, with charts including: a CV curve overlay chart after multiple additions (used to show trends), a type determination radar chart (showing the matching degree of each feature value), and a final effect concentration value table.
[0054] The method for analyzing the effect of lithium battery copper foil additives on copper deposition in one embodiment of the present invention uses multiple stepwise sample additions and multiple sets of voltammetric characteristic curves in combination. It utilizes the differences in the electrochemical behavior of different additives to screen for types. Based on the determined types, it calls the matching electrochemical model to perform concentration inversion, which can achieve efficient and accurate qualitative screening and quantitative analysis, and solves the problems of inaccurate qualitative analysis, difficulty in quantification and low efficiency of traditional methods for additives.
[0055] As one embodiment, before step S10, the method further includes: pre-configuring a simulation solution, a standard solution, a test solution, a first auxiliary solution, a second auxiliary solution, and a third auxiliary solution.
[0056] The simulated solution consists of copper sulfate, hydrochloric acid, and sulfuric acid; the first auxiliary solution is composed of inhibitors, the second auxiliary solution is composed of accelerators, and the third auxiliary solution is composed of both accelerators and inhibitors.
[0057] The first auxiliary solution has a concentration of 50 g / L and includes polyethylene glycol monomer or sodium aminoethyl sulfonate; the second auxiliary solution has a concentration of 1 g / L and includes one of sodium dithiodipropylene sulfonate monomer, sodium dithiodipropane sulfonate, thiourea, and sodium mercaptopropane sulfonate; the third auxiliary solution is a mixture of equal volumes of the first and second auxiliary solutions.
[0058] As an example, the simulated solution is prepared as follows: depending on the electrolyte environment, take 360g of copper sulfate pentahydrate (or 225g of anhydrous copper sulfate) + 110g (or 60ml) of concentrated sulfuric acid + 0.73ml of 1mol / L hydrochloric acid and dilute to 2L with pure water. After cooling to room temperature, store in a narrow-mouthed glass bottle for later use.
[0059] Preparation of the test solution: Take 0.1g of the additive to be tested, dilute it to 100mL with the simulated solution and set aside.
[0060] The first auxiliary solution is prepared by using 50 g / L of polyethylene glycol monomer.
[0061] The second auxiliary solution is prepared as 1 g / L sodium mercaptopropane sulfonate.
[0062] Preparation of the third auxiliary solution: a mixture of equal volumes of the first and second auxiliary solutions.
[0063] The above are merely embodiments of the present invention and do not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the content of the present invention's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.
Claims
1. A method for analyzing the effect of lithium battery copper foil additives on copper deposition, characterized in that, include: A pre-configured test solution is added multiple times to a pre-configured simulated solution. After each addition of the test solution, the corresponding first voltammetric characteristic curve is scanned. The type of the test solution is determined based on multiple first voltammetric characteristic curves. Based on the type determination result, select the corresponding electrochemical method to measure the effective concentration of the test solution; Output the type of the test solution and its corresponding effective concentration.
2. The method for analyzing the effect of lithium battery copper foil additives on copper deposition according to claim 1, characterized in that, The step of determining the type of the test liquid based on multiple first voltammetric characteristic curves includes: Obtain the peak intensity and potential change from the first current-voltage characteristic curve; If the peak intensity increases and the potential rises, then the test liquid is determined to be an accelerator. If the peak intensity drops to the bottom and the potential decreases, then the test solution is determined to be an inhibitor. If the peak intensity does not drop to the bottom and the potential decreases, then the test liquid is determined to be a leveling agent or an inhibitor.
3. The method for analyzing the effect of lithium battery copper foil additives on copper deposition according to claim 2, characterized in that, If the peak intensity does not drop to the bottom and the potential decreases, then determining that the test solution is a leveling agent or an inhibitor includes: If the peak intensity does not drop to the bottom and the potential decreases, the simulated liquid and the pre-prepared first auxiliary liquid are added to the reaction vessel. After the peak intensity drops to the bottom, the test liquid is added multiple times. After each addition of the test liquid, the corresponding second voltammetric characteristic curve is scanned and the new potential change is obtained from the second voltammetric characteristic curve. If the new potential increases, the type of the test liquid is determined to be a leveling agent; If the new potential remains unchanged, the test solution is determined to be an inhibitor.
4. The method for analyzing the effect of lithium battery copper foil additives on copper deposition according to claim 3, characterized in that, Before adding a pre-configured test solution to the pre-configured simulated solution multiple times, scanning the corresponding first voltammetric characteristic curve after each addition, and determining the type of the test solution based on multiple first voltammetric characteristic curves, the method further includes: The simulated solution, standard solution, test solution, first auxiliary solution, second auxiliary solution, and third auxiliary solution are pre-configured. The simulated solution comprises copper sulfate, hydrochloric acid, and sulfuric acid; The first auxiliary solution is composed of an inhibitor, the second auxiliary solution is composed of an accelerator, and the third auxiliary solution is composed of an accelerator and an inhibitor.
5. The method for analyzing the effect of lithium battery copper foil additives on copper deposition according to claim 4, characterized in that, The first auxiliary solution has a concentration of 50 g / L and includes polyethylene glycol monomer or sodium aminoethyl sulfonate. The concentration of the second auxiliary solution is 1 g / L, and the second auxiliary solution includes one of sodium polydithiopropene sulfonate monomer, sodium dithiopropane sulfonate, thiourea, and sodium mercaptopropane sulfonate. The third auxiliary liquid is a mixture of equal volumes of the first auxiliary liquid and the second auxiliary liquid.
6. The method for analyzing the effect of lithium battery copper foil additives on copper deposition according to claim 4, characterized in that, The step of selecting the corresponding electrochemical method to measure the effective concentration of the test solution based on the type determination result includes: When the type of the test solution is an accelerator, the first effect concentration is calculated by CVS cyclic voltammetric stripping method. When the test solution is an inhibitor, the LAT linear approximation method is selected to calculate the second effect concentration. When the test liquid is a leveling agent, the RC response curve method is selected to measure the third effect concentration.
7. The method for analyzing the effect of lithium battery copper foil additives on copper deposition according to claim 6, characterized in that, The calculation of the first effect concentration using the CVS cyclic voltammetric stripping method includes: After adding the simulated solution and the first auxiliary solution to the reaction vessel, the voltammetric characteristic curve is scanned. After adding the test solution, the voltammetric characteristic curve is scanned again. The second auxiliary solution is added twice in succession, and the voltammetric characteristic curve is scanned after each addition to obtain the voltammetric characteristic curve change graph. The variation curve of the current-voltage characteristic curve was integralized and linearly fitted by the CVS cyclic voltammetric stripping method. The concentration of the first effect is calculated from the linear fitting results.
8. The method for analyzing the effect of lithium battery copper foil additives on copper deposition according to claim 6, characterized in that, The calculation of the second effect concentration using the LAT linear approximation method includes: After adding the simulated solution to the reaction vessel, an initial scan is performed. The standard solution is then added multiple times for testing until the test is completed, thus obtaining the first standard curve. After adding the simulated liquid to the reaction vessel, an initial scan is performed. The test liquid is then added multiple times for testing until the test is completed, and the first measurement curve is obtained. The volume-peak intensity ratio curve is obtained by combining the LAT linear approximation method with the first standard curve and the first measurement curve. The second effect concentration is calculated based on the volume-peak intensity ratio curve and the preset formula.
9. The method for analyzing the effect of lithium battery copper foil additives on copper deposition according to claim 6, characterized in that, The method of selecting RC response curves to measure the concentration of the third effect includes: The simulation solution and the third auxiliary solution were added to the reaction vessel for the initial scan. The standard solution was added multiple times for testing until the test was completed, and the second standard curve was obtained. The simulated liquid and the third auxiliary liquid were added to the reaction vessel for an initial scan. The test liquid was added repeatedly until the test was completed, and a second measurement curve was obtained. The concentration-peak intensity ratio curve is obtained by combining the RC response curve method with the second standard curve and the second measurement curve; The third effect concentration is output using an electrochemical workstation based on the concentration-peak intensity ratio curve.
10. The application of an analytical method for the effect of lithium battery copper foil additives on copper deposition as described in any one of claims 1-9 in the incoming inspection of lithium battery copper foil additives.