A performance detection and analysis system for battery production and processing

Abstract

The present invention discloses a performance detection and analysis system for battery production and processing, specifically relating to the technical field of battery performance detection. The system comprises: a production data acquisition and analysis module, a battery assembly selection module, a battery hardware quality analysis module, a battery performance evaluation module and a database. The present invention detects the plates, tabs and safety valves in the battery production process, selects qualified plates, tabs and safety valves to enter the next production and processing process, and ensures the stability of the performance of each plate, tab and safety valve. The present invention analyzes the performance consistency coefficient of each qualified plate and tab, divides the quality coefficient of each plate and tab into intervals, selects positive and negative plates and positive and negative tabs with similar quality coefficients for assembly into the same battery, and ensures the quality consistency of the plates and tabs, thereby improving the performance index of the battery.

Description

Technical Field

[0001] The present invention relates to the technical field of battery performance detection, and in particular to a performance detection and analysis system for battery production and processing. Background Art

[0002] In the battery production process, process control at different links has a direct impact on the performance of the final battery. With the continuous development of battery technology and the improvement of industrial automation level, the detection system in battery production and processing has also experienced relatively significant progress. Modern battery production not only requires efficient, stable and precise production lines, but also requires ensuring that the quality of each battery meets the standards. Therefore, it is necessary to study the performance detection and analysis system for battery production and processing.

[0003] Prior art, such as the invention patent application CN115754761A, discloses a battery performance detection device and control method. The system comprises a baseplate and multiple detection units mounted thereon for detecting the battery. These detection units include a charging circuit, a discharging circuit, and a voltage sensor. This invention uses the detection units to provide the battery under test with charging and discharging circuits, measuring the voltage during this process. The battery performance test is then completed by comparing the duration, voltage, and temperature data obtained during this process with preset standard values. Compared to methods that simply measure the battery terminal voltage and perform a simple short-circuit test, this invention significantly improves the accuracy of battery performance testing, preventing the use of defective or faulty products and ensuring battery safety.

[0004] Prior art, such as the invention patent application CN111570299A, discloses a performance detection and analysis system for battery production and processing. The system includes: a processing status detection terminal, a moisture content detection module, an oxidation analysis and processing module, an oxidation thickness detection module, a circulation speed detection module, a flow rate processing module, a battery parameter storage module, a management server, a screening and analysis processing module, and a screening and sorting mechanism. This invention detects the temperature, humidity, corresponding duration of each temperature and humidity, moisture content, and air circulation during the processing process, and analyzes the temperature, humidity, moisture content, and other parameters detected at each fixed time period. It comprehensively analyzes the theoretical oxidation thickness coefficient and oxidation thickness variation of the battery plate under the influence of the environment at each fixed time end, and then analyzes the durability compliance coefficient of the plate after the entire processing process. This facilitates the evaluation of plate performance and the screening of plates that meet usage and life requirements, thereby maximizing the use efficiency of the plate.

[0005] In conjunction with the above solutions, it is found that the existing technology, on the one hand, ignores the fact that the production data of the plates, tabs, and safety valves in the battery production process will affect their quality, thereby affecting the battery's performance index. Instead, it is limited to analyzing easily detectable data such as environmental temperature, humidity, and voltage. This increases the risk of reduced yield during the production and processing of batteries, resulting in battery losses during production and processing, and cannot guarantee the safety and practicality of the batteries. On the other hand, it ignores the quality consistency requirements of the battery for positive and negative plates and positive and negative tabs, increasing the risk of the battery's discharge capacity not meeting the standards during actual use and unstable external circuit connections. This leads to safety hazards such as excessive heating and short circuits in the actual use of the battery, and even causes major safety accidents such as fires, which does not meet the safety requirements for battery production and use. Summary of the Invention

[0006] The purpose of the present invention is to provide a performance detection and analysis system for battery production and processing, which solves the problems existing in the background technology.

[0007] To solve the above technical problems, the present invention adopts the following technical solution: a performance detection and analysis system for battery production and processing, the system comprising:

[0008] The production data acquisition and analysis module is used to collect production data during the battery production process, including: collecting the status data and test data of each plate, calculating the quality coefficient of each plate, screening out qualified plates from the same batch, calculating the quality consistency coefficient of qualified plates from the same batch, collecting the welding data and test data of each tab, calculating the quality coefficient of each tab, screening out qualified tabs from the same batch, calculating the quality consistency coefficient of qualified tabs from the same batch, collecting the test data of each safety valve, calculating the quality coefficient of each safety valve, and screening out qualified safety valves from the same batch.

[0009] The battery assembly selection module classifies the qualified plates and lugs in the same batch based on their quality consistency coefficients, and selects the positive and negative plates and lugs in the same category for assembly in the same battery.

[0010] The battery hardware quality analysis module calculates the hardware quality index of each battery based on the quality coefficient of the positive and negative plates, positive and negative lugs, and safety valve of each battery, and evaluates the hardware quality level of each battery.

[0011] The battery performance evaluation module is used to collect the test power data of each battery, calculate the performance coefficient of each battery, and evaluate the performance level of each battery based on the hardware quality level of each battery.

[0012] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention detects the tabs during the battery production process, and obtains the quality coefficient of each tab by analyzing the welding data and test data of each tab, thereby screening qualified tabs to enter the next production and processing process, ensuring the stability of the performance of each tab, thereby improving the performance index of the battery.

[0013] 2. The present invention detects the plates in the battery production process, and obtains the quality coefficient of each plate by analyzing the status data and test data of each plate, thereby screening qualified plates to enter the next production and processing process, ensuring the stability of the performance of each plate, thereby improving the performance index of the battery.

[0014] 3. The present invention detects the safety valves in the battery production process, analyzes the test data of each safety valve, and obtains the quality coefficient of each safety valve, thereby screening qualified safety valves to enter the next production and processing process, ensuring the stability of the performance of each safety valve, thereby improving the performance index of the battery.

[0015] 4. The present invention aims at the quality consistency requirements of plates and tabs in the battery production process, analyzes the performance consistency coefficient of each qualified plate and tab, divides the quality coefficient of each plate and tab into intervals, and selects positive and negative plates and tabs with similar quality coefficients for assembly into the same battery, thereby ensuring the quality consistency of the plates and tabs, thereby improving the performance index of the battery. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0017] Figure 1 This is a system structure connection diagram of the present invention. DETAILED DESCRIPTION

[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0019] For ease of understanding, some professional terms used in the present invention are explained below:

[0020] The plate, also known as the battery plate or pole piece, is a key component of the battery. It is the carrier of the battery's electrochemical reaction and directly participates in the battery's charging and discharging process. There are positive and negative plates. They are usually made of conductive materials and can effectively conduct electricity to ensure that the current inside the battery can be transmitted smoothly.

[0021] Tabs, also known as battery tabs or tab sheets, refer to the conductive parts of the battery that connect the positive and negative electrodes to the external circuit. They are usually made of metal and are connected to the battery plates by welding or other connection methods. Their main function is to provide a circuit channel inside the battery, transfer the battery's charge to the external load, and ensure that the battery can work normally.

[0022] A safety valve, also known as a gas release valve or pressure relief valve, is a key safety component in battery design. It protects the battery from excessive internal pressure during abnormal conditions such as overcharging, over-discharging, and internal short circuits, potentially leading to leakage, explosion, or other hazards. The safety valve automatically regulates gas release to ensure battery safety and stability, preventing damage from gas accumulation or overheating.

[0023] Formation reaction: refers to the process of converting the plates of lead-acid batteries into active materials with battery storage functions through electrochemical reactions.

[0024] Reference Figure 1 As shown, the present invention provides a performance detection and analysis system for battery production and processing, the system comprising: a production data acquisition and analysis module for acquiring production data during the battery production and processing, including: acquiring status data and test data of each electrode plate, calculating the quality coefficient of each electrode plate, screening out qualified electrode plates of the same batch, calculating the quality consistency coefficient of qualified electrode plates of the same batch, acquiring welding data and test data of each tab, calculating the quality coefficient of each tab, screening out qualified tabs of the same batch, calculating the quality consistency coefficient of qualified tabs of the same batch, acquiring test data of each safety valve, calculating the quality coefficient of each safety valve, and screening out qualified safety valves of the same batch.

[0025] The battery assembly selection module classifies the qualified plates and lugs in the same batch based on their quality consistency coefficients, and selects the positive and negative plates and lugs in the same category for assembly in the same battery.

[0026] The battery hardware quality analysis module calculates the hardware quality index of each battery based on the quality coefficient of the positive and negative plates, positive and negative lugs, and safety valve of each battery, and evaluates the hardware quality level of each battery.

[0027] The battery performance evaluation module is used to collect the test power data of each battery, calculate the performance coefficient of each battery, and evaluate the performance level of each battery based on the hardware quality level of each battery.

[0028] The database is used to store the standard current, standard temperature, and standard time of the plate formation reaction, the normal range of each test data of the plate, the normal range of each welding data of the tab, the standard internal resistance and standard coating thickness of the tab, the range of standard opening pressure of each safety valve, the response time threshold for normal operation, the quality consistency coefficient judgment threshold of qualified plates, the span of the quality coefficient interval division of qualified plates, the standard working range of each test power data of the battery, the range of each level of hardware quality of the battery, the performance coefficient judgment range corresponding to each level of hardware quality of the battery, and the quality judgment threshold of the plate, tab and safety valve.

[0029] It should be noted that, in a specific embodiment, the production data acquisition and analysis module is connected to the battery assembly selection module, the battery assembly selection module is connected to the battery hardware quality analysis module, the battery hardware quality analysis module is connected to the battery performance evaluation module, and the database is connected to the production data acquisition and analysis module, the battery assembly selection module, and the power data test and analysis module.

[0030] In a specific embodiment of the present invention, the production data of the battery production process is analyzed in the following way: the state data of the plate include: the uniform area ratio of the lead paste coating A i , formation reaction current I i , formation reaction temperature C i and the reaction time T i , where i = 1, 2, ..., m, i represents the number of each plate, and m represents the total number of plates.

[0031] It should be noted that, in a specific embodiment, the uniform area ratio of the lead paste coating of each electrode plate is obtained by using an optical method to use a scanner to photograph the surface of the electrode plate after coating, analyzing the light reflection characteristics of the coating layer, and extracting the area with uneven reflection on the surface of the electrode plate in the image with the scanner. The total area of ​​the uneven reflection area is calculated and divided by the surface area of ​​the electrode plate to obtain the uniformity of the lead paste coating of each electrode plate.

[0032] The current of the plate formation reaction is collected by a current sensor, the temperature of the plate formation reaction is collected by a temperature sensor, and the duration of the plate formation reaction is collected by a timing device.

[0033] The test data S of the plate ik Includes: capacity, voltage and internal resistance, where k = 1, 2, 3, and k represents the number of each test data.

[0034] It should be noted that, in a specific embodiment, the capacity of the plate is measured by applying a constant current to the plate, charging it to a predetermined voltage, and discharging it at the same current until the cut-off voltage is reached. By recording the charge and discharge time and current, the total amount of electricity passed during the charge and discharge process is calculated. The constant current, predetermined voltage and cut-off voltage are preset by technicians.

[0035] The voltage of the plates is detected by a voltage sensor. Using the DC method, a DC current is applied to each plate and the voltage change is measured to calculate the internal resistance of each plate.

[0036] The welding data G of the tab qf Including: welding current, welding pressure, welding time, welding temperature and welding surface oxidation area ratio, where q = 1, 2, ..., Q, q represents the number of each tab, Q represents the total number of tabs, f = 1, 2, 3, 4, 5, f represents the number of each tab welding data.

[0037] It should be noted that, in a specific embodiment, the welding current of the tab is collected by a current sensor, the welding pressure of the tab is collected by a pressure sensor, the welding time of the tab is collected by a timing device, and the welding temperature of the tab is collected by a temperature sensor.

[0038] The proportion of the oxidized area on the welding surface is obtained by taking a surface image of the tab by a scanner, using communication image recognition technology to compare it with the oxidation features stored in the database, extracting the oxidized feature area in the tab surface image, performing contour comparison to obtain the total area of ​​the oxidized feature area in the tab surface image, and dividing it by the surface area of ​​the tab to obtain the degree of oxidation on the welding surface of the tab.

[0039] The test data of the tab include: internal resistance H q , Dimensional conformity B q and coating thickness L q .

[0040] It should be noted that, in a specific embodiment, the internal resistance of the tab is calculated using a DC method, which applies a DC current to each plate and measures the voltage change to calculate the internal resistance of each tab.

[0041] The dimensional conformity of the tab is measured by using a CNC image measuring instrument with image recognition technology. The tab is placed on the workbench of the image measuring instrument, an image of the tab is captured by a camera, the image size is analyzed by computer software, the measured data is compared with the standard data, and the dimensional conformity of the tab is output.

[0042] The coating thickness of the tab is calculated by measuring the reflection time of the signal using an ultrasonic method.

[0043] The test data of the safety valve include: opening pressure F r and response time T r , where r = 1, 2, …, l, r represents the number of each safety valve, and l represents the total number of safety valves.

[0044] It should be noted that, in a specific embodiment, the opening pressure of the safety valve is determined by installing the safety valve on a test device and connecting it to a pressure testing system. The pressure testing system usually includes a precise pressure gauge and an adjustable pressure source. The pressure in the system is gradually increased by the pressure source, and the pressure is continuously monitored using a pressure gauge. The action of the safety valve is observed. When the safety valve begins to open and release pressure, the pressure value at this time is recorded. This pressure value is the opening pressure of the safety valve. From the moment the system pressure reaches the opening pressure of the safety valve, timing is performed using a technical device until the safety valve is fully opened and begins to release pressure. The resulting duration is the response time of the safety valve.

[0045] In a specific embodiment of the present invention, the quality coefficient of each plate is calculated to screen out qualified plates of the same batch. The specific analysis method is as follows: based on the uniform area ratio A of the lead paste coating on each plate, i , the current I of the plate formation reaction i Temperature C i and duration T i .

[0046] By formula: The calculated state compliance coefficient α of each plate i , where I′ represents the standard current of the electrode formation reaction extracted from the database, C′ represents the standard temperature of the electrode formation reaction extracted from the database, and T′ represents the standard duration of the electrode formation reaction extracted from the database.

[0047] Based on the test data S of each plate ik , through the formula: Calculate the compliance value (QS) of each test data of each plate ik , through the formula: The performance compliance coefficient β of each plate is calculated i ,in It represents the normal range of each plate test data extracted from the database.

[0048] By formula: i =ln(α i +β i ), calculate the quality coefficient λ of each plate i .

[0049] If λ i>λ, the quality of the i-th plate is judged to be qualified, where λ represents the plate quality judgment threshold extracted from the database.

[0050] If λ i ≤λ, the quality of the i-th plate is judged to be unqualified, and the i-th plate is screened out and does not participate in subsequent further production and processing.

[0051] Similarly, complete the quality judgment of each plate, screen out the qualified plates of the same batch, and extract the quality coefficient λ′ of each qualified plate j , j = 1, 2, ..., n, j represents the number of each qualified plate, and n represents the total number of qualified plates.

[0052] It should be noted that, in a specific embodiment, the plate quality judgment threshold is manually preset by technicians based on a comprehensive evaluation of the quality coefficients of each plate in history and the actual application effects of each plate, and is stored in a database.

[0053] It should be noted that, in a specific embodiment, if the quality grade of the i-th plate is detected to be unqualified, the i-th plate will be diverted and transferred to the unqualified product recovery device line and will not participate in the subsequent battery assembly process.

[0054] The present invention detects the plates in the battery production process, and obtains the quality coefficient of each plate by analyzing the status data and test data of each plate, thereby screening qualified plates to enter the next production and processing process, ensuring the stability of the performance of each plate, thereby improving the performance index of the battery.

[0055] In a specific embodiment of the present invention, the quality consistency coefficient of the qualified plates of the same batch is calculated by the following specific analysis method: based on the quality coefficient λ′ of each qualified plate j , through the formula: The average quality coefficient μ of qualified plates is calculated using the formula: Calculate the standard deviation σ of the quality coefficient of qualified plates.

[0056] By formula: The quality consistency coefficient χ of the qualified plates in the same batch was calculated.

[0057] It should be noted that the standard deviation reflects the volatility or dispersion of the data set. The larger the standard deviation, the greater the difference between the data points and the wider the data distribution. The smaller the standard deviation, the more concentrated the data points are near the mean value and the narrower the data distribution. Here, the smaller the standard deviation, the more concentrated the quality coefficient distribution of each qualified plate and the higher the quality consistency.

[0058] In a specific embodiment of the present invention, the quality coefficient of each tab is calculated to screen out qualified tabs of the same batch. The specific analysis method is as follows: based on the welding data G of each tab, qf , through the formula: Calculate the compliance judgment value (QG) of each welding data of each tab qf , through the formula: Calculate the welding compliance coefficient γ of each tab q ,in It represents the normal range of each tab welding data extracted from the database.

[0059] Based on the internal resistance H of each tab q , Dimensional conformity B q and coating thickness L q , through the formula: The performance index ρ of each tab is calculated q , where H′ represents the standard internal resistance of the tab extracted from the database, and L′ represents the standard coating thickness of the tab extracted from the database.

[0060] By formula: η q =ln(γ q +ρ q ), calculate the quality coefficient η of the tab q .

[0061] If η q >η, the quality of the qth tab is judged to be qualified, where η represents the tab quality judgment threshold extracted from the database.

[0062] If η q If ≤η, the quality of the qth tab is judged to be unqualified, and the qth tab is screened out and does not participate in subsequent further production and processing.

[0063] Similarly, the quality judgment of each tab is completed, and the qualified tabs of the same batch are obtained, and the quality coefficient η′ of each qualified tab is extracted. x , x=1,2,…,z, x represents the number of each qualified tab, and z represents the total number of qualified tabs.

[0064] It should be noted that, in a specific embodiment, the tab quality judgment threshold is manually preset by technicians based on a comprehensive evaluation of the historical quality coefficients of each tab and the actual application effects of each tab, and is stored in a database.

[0065] The present invention detects the tabs during the battery production process, and obtains the quality coefficient of each tab by analyzing the welding data and test data of each tab, thereby screening qualified tabs to enter the next production and processing process, ensuring the stability of the performance of each tab, thereby improving the performance index of the battery.

[0066] In a specific embodiment of the present invention, the quality consistency coefficient of the qualified tabs of the same batch is calculated, and the specific analysis method is as follows: based on the quality coefficient η′ of each qualified tab x , through the formula: Calculate the average quality factor of qualified tabs By formula: The standard deviation ψ of the quality coefficient of qualified tabs is calculated.

[0067] By formula: The quality consistency coefficient κ of qualified tabs in the same batch is calculated.

[0068] In a specific embodiment of the present invention, the quality coefficient of each safety valve is calculated to screen out qualified safety valves of the same batch. The specific analysis method is as follows: based on the opening pressure F of each safety valve r , pressure relief capacity Y r and response time T r , through the formula: The calculated opening pressure of each safety valve meets the judgment value (QF) r ,in Indicates the range of standard opening pressure of each safety valve extracted from the database.

[0069] By formula: Calculate the quality coefficient θ of each safety valve r , where T′ represents the response time threshold of the normal operation of the safety valve extracted from the database.

[0070] If θ r >θ, the quality of the rth safety valve is judged to be qualified, where θ represents the safety valve quality judgment threshold extracted from the database.

[0071] If θ r ≤θ, the quality of the r-th safety valve is judged to be unqualified, and the r-th safety valve is screened out and does not participate in subsequent further production and processing.

[0072] Similarly, the quality judgment of each safety valve is completed to obtain qualified safety valves of the same batch.

[0073] It should be noted that, in a specific embodiment, the safety valve quality judgment threshold is manually preset by technicians based on a comprehensive evaluation of the quality coefficients of each safety valve in history and the actual application effects of each safety valve, and is stored in a database.

[0074] The present invention detects the safety valves in the battery production process, analyzes the test data of each safety valve, and obtains the quality coefficient of each safety valve, thereby screening qualified safety valves to enter the next production and processing process, ensuring the stability of the performance of each safety valve, thereby improving the performance index of the battery.

[0075] In a specific embodiment of the present invention, the positive and negative plates and positive and negative tabs of the same type are selected for assembly of the same battery, and the specific analysis method is: based on the quality consistency coefficient χ of the qualified plates of the same batch, if χ ≥ ε, then any pair of positive and negative plates are selected from the qualified plates in the same batch for assembly of the same battery, where ε represents the quality consistency coefficient judgment threshold of the qualified plates extracted from the database.

[0076] If χ<ε, then the quality coefficient λ′ of each qualified plate in the same batch is j , extract the minimum and maximum quality coefficients of each qualified plate, starting with the minimum quality coefficient, τ is the interval span, and divide each quality coefficient interval until the divided quality coefficient interval contains the maximum quality coefficient, where τ is the span of the quality coefficient interval division of the qualified plates extracted from the database.

[0077] Qualified plates in each quality coefficient interval are counted, and a pair of positive and negative plates are selected from the qualified plates in each quality coefficient interval to assemble the same battery.

[0078] It should be noted that, in a specific embodiment, the assembly of the battery requires a pair of positive and negative plates. For example, if the calculated quality consistency coefficient pool of qualified plates is χ=12, ε=13, then χ<ε. The largest λ′max and the smallest λ′min are extracted from the quality coefficients of each qualified plate. The quality coefficient intervals are divided with the minimum qualified plate quality coefficient as the base point and τ as the interval span, and the [λ′ min ,λ′ min +τ), [λ′ min +τ,λ′ min +2τ), [λ′ min +2τ,λ′ min +3τ), when λ′ max ∈[λ′ min +2τ,λ′ min +3τ), the division of the interval is ended, and the qualified plates in each quality coefficient interval are counted, for example, from [λ′min +τ,λ′ min +2τ) to select a pair of positive and negative plates to assemble the same battery.

[0079] When it is necessary to explain, the maximum λ′ is extracted from the quality coefficient of the above qualified plates. max and the smallest λ′ min , all meet the requirements for judging qualified plates.

[0080] Based on the quality consistency coefficient κ of the qualified tabs of the same batch, the assembly selection of the positive and negative tabs of the battery is completed in the same way.

[0081] The present invention aims at the quality consistency requirements for plates and tabs in the battery production process, analyzes the performance consistency coefficients of each qualified plate and tab, operates on the quality coefficients of each plate and tab in intervals, and selects positive and negative plates and tabs with similar quality coefficients for assembly into the same battery, thereby ensuring the quality consistency of the plates and tabs, thereby improving the performance index of the battery.

[0082] It should be noted that, in a specific embodiment, qualified safety valves from the same batch are arbitrarily selected for assembling batteries.

[0083] In a specific embodiment of the present invention, the hardware quality level of each battery is evaluated by a specific analysis method as follows: based on the number of the positive and negative plates, positive and negative tabs, and safety valves selected for each battery, the quality coefficient of the positive plate of each battery is obtained. Quality factor of negative plate Quality coefficient of positive electrode ear Quality coefficient of negative electrode ear and the quality coefficient θ′ of the safety valve t , through the formula: Calculate the hardware quality index ζ of each battery t .

[0084] If t If the hardware quality level of the battery is in the first interval, the hardware quality level of the t-th battery is determined to be excellent.

[0085] If t If the hardware quality level of the battery is in the second interval, the hardware quality level of the t-th battery is determined to be good.

[0086] If t If the hardware quality level of the battery is in the third interval, the hardware quality level of the t-th battery is determined to be average.

[0087] Similarly, the hardware quality level of each battery is obtained.

[0088] It should be noted that, in a specific embodiment, the first interval, the second interval, and the third interval of the hardware quality of the battery are manually preset by technicians based on a comprehensive evaluation of the historical hardware quality coefficients of each battery and the actual application effects of each battery, and are stored in a database.

[0089] In a specific embodiment of the present invention, the performance level of each battery is evaluated based on the hardware quality level of each battery. The specific analysis method is: the open circuit voltage of each battery is detected by a voltage sensor. Operating voltage Use the internal resistance tester to test the internal resistance R of each battery. t By discharging each fully charged battery from a fully charged state to the lowest voltage state at a set discharge current, recording the discharge time of each battery, and multiplying it by the set discharge current, the capacity A of each battery is obtained. t , where t=1,2,…,Γ, t represents the number of each battery, Γ represents the total number of batteries, and the open circuit voltage of each battery Operating voltage Internal resistance R t and capacity A t , summarize and construct the test power data E of each battery tc , where c = 1, 2, 3, 4, and c represents the number of the power data of each test machine.

[0090] By formula: Calculate the compliance judgment value of each test power parameter of each battery through the formula: Calculate the performance coefficient of each battery in Indicates the standard operating range of each test power data of the battery extracted from the database.

[0091] If the hardware quality level of the t-th battery is excellent, the following judgment is made: The performance level of the t-th battery is determined to be qualified, otherwise the performance level of the t-th battery is determined to be unqualified, and the t-th battery is screened out and does not participate in the subsequent battery warehouse storage operation. Indicates the performance coefficient judgment interval corresponding to the excellent hardware quality level of the battery extracted from the database.

[0092] If the hardware quality level of the t-th battery is good, the following judgment is made: The performance level of the t-th battery is determined to be qualified, otherwise the performance level of the t-th battery is determined to be unqualified, and the t-th battery is screened out and does not participate in the subsequent battery warehouse storage operation. Indicates the performance coefficient judgment interval corresponding to the good hardware quality level of the battery extracted from the database.

[0093] If the hardware quality level of the t-th battery is average, the following judgment is made: The performance level of the t-th battery is determined to be qualified, otherwise the performance level of the t-th battery is determined to be unqualified, and the t-th battery is screened out and does not participate in the subsequent battery warehouse storage operation. Indicates the performance coefficient judgment interval corresponding to the general hardware quality level of the battery extracted from the database.

[0094] Similarly, the performance level of each battery is evaluated.

[0095] It should be noted that, in a specific embodiment, the performance coefficient judgment interval corresponding to each level of hardware quality of the battery is manually set by technicians based on a comprehensive analysis of the relationship between the hardware quality and performance of the battery and the actual historical use results of the battery, and is stored in a database.

[0096] It should also be noted that, in a specific embodiment, y1>y2>y3 represents the adjustment scale of the hardware quality of each level of the battery and the performance coefficient judgment interval.

[0097] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all fall within the scope of protection of the present invention.

Claims

1. A performance detection and analysis system for battery production and processing, characterized in that: The system comprises: The production data acquisition and analysis module is used to collect production data during the battery production process, including: collecting status data and test data of each plate, calculating the quality coefficient of each plate, screening out qualified plates from the same batch, and calculating the quality consistency coefficient of qualified plates from the same batch; collecting welding data and test data of each tab, calculating the quality coefficient of each tab, screening out qualified tabs from the same batch, and calculating the quality consistency coefficient of qualified tabs from the same batch; collecting test data of each safety valve, calculating the quality coefficient of each safety valve, and screening out qualified safety valves from the same batch; The state data of the plate include: the uniform area ratio of lead paste coating A i , formation reaction current I i , formation reaction temperature C i and the reaction time T i , where i = 1, 2, ..., m, i represents the number of each plate, and m represents the total number of plates; The test data S of the plate ik Includes: capacity, voltage and internal resistance, where k = 1, 2, 3, k represents the number of each test data; The welding data G of the tab qf Including: welding current, welding pressure, welding time, welding temperature and welding surface oxidation area ratio, where q = 1, 2, ..., Q, q represents the number of each tab, Q represents the total number of tabs, f = 1, 2, 3, 4, 5, f represents the number of each tab welding data; The test data of the tab include: internal resistance H q , Dimensional conformity B q and coating thickness L q ; The test data of the safety valve include: opening pressure F r and response time T r , where r = 1, 2, ..., l, r represents the number of each safety valve, and l represents the total number of safety valves; The battery assembly selection module classifies qualified plates and tabs from the same batch based on their quality consistency coefficients, and selects positive and negative plates and tabs from the same category for assembly into the same battery. The battery hardware quality analysis module calculates the hardware quality index of each battery based on the quality coefficient of each battery's positive and negative plates, positive and negative lugs, and safety valve, and evaluates the hardware quality level of each battery; The battery performance evaluation module is used to collect the test power data of each battery, calculate the performance coefficient of each battery, and evaluate the performance level of each battery based on the hardware quality level of each battery.

2. A battery production and processing performance detection and analysis system according to claim 1, characterized in that: The quality coefficient of each plate is calculated to screen out qualified plates from the same batch. The specific analysis method is as follows: Based on the uniform area ratio of lead paste coating on each plate A i , the current I of the plate formation reaction i Temperature C i and duration T i ; By formula: The calculated state compliance coefficient α of each plate i , where I′ represents the standard current of the plate formation reaction extracted from the database, C′ represents the standard temperature of the plate formation reaction extracted from the database, and T′ represents the standard duration of the plate formation reaction extracted from the database; Based on the test data S of each plate ik , through the formula: Calculate the compliance judgment value (QS) of each test data of each plate ik , through the formula: The performance compliance coefficient β of each plate is calculated i ,in Indicates the normal range of each plate test data extracted from the database; By formula: i =ln(α i +β i ), calculate the quality coefficient λ of each plate i ; If λ i >λ, the quality of the i-th plate is judged to be qualified, where λ represents the plate quality judgment threshold extracted from the database; If λ i ≤λ, the quality of the i-th plate is judged to be unqualified, and the i-th plate is screened out and does not participate in subsequent further production and processing; Similarly, complete the quality judgment of each plate, screen out the qualified plates of the same batch, and extract the quality coefficient λ′ of each qualified plate j , j = 1, 2, ..., n, j represents the number of each qualified plate, and n represents the total number of qualified plates.

3. A battery production and processing performance detection and analysis system according to claim 2, characterized in that: The specific analysis method for calculating the quality consistency coefficient of qualified plates in the same batch is as follows: Based on the quality coefficient λ′ of each qualified plate j , through the formula: The average quality coefficient μ of qualified plates is calculated using the formula: Calculate the standard deviation σ of the quality coefficient of qualified plates; By formula: The quality consistency coefficient χ of the qualified plates in the same batch was calculated.

4. A battery production and processing performance detection and analysis system according to claim 3, characterized in that: The quality coefficient of each tab is calculated to screen out qualified tabs of the same batch. The specific analysis method is as follows: Based on the welding data G of each tab qf , through the formula: Calculate the compliance judgment value (QG) of each welding data of each tab qf , through the formula: Calculate the welding compliance coefficient γ of each tab q ,in It represents the normal range of each welding data of the tab extracted from the database; Based on the internal resistance H of each tab q , Dimensional conformity B q and coating thickness L q , through the formula: The performance index ρ of each tab is calculated q , where H′ represents the standard internal resistance of the tab extracted from the database, and L′ represents the standard coating thickness of the tab extracted from the database; By formula: η q =ln(γ q +ρ q ), calculate the quality coefficient η of the tab q ; If η q >η, the quality of the qth tab is determined to be qualified, where η represents the tab quality judgment threshold extracted from the database; If η q ≤η, the quality of the qth tab is judged to be unqualified, the qth tab is screened out and does not participate in subsequent further production and processing; Similarly, the quality judgment of each tab is completed, and the qualified tabs of the same batch are obtained, and the quality coefficient η′ of each qualified tab is extracted. x , x=1,2,…,z, x represents the number of each qualified tab, and z represents the total number of qualified tabs.

5. A battery production and processing performance detection and analysis system according to claim 4, characterized in that: The specific analysis method for calculating the quality consistency coefficient of qualified tabs in the same batch is as follows: Based on the quality coefficient η' of each qualified tab x , through the formula: Calculate the average quality factor of qualified tabs By formula: Calculate the standard deviation ψ of the quality coefficient of qualified tabs; By formula: The quality consistency coefficient κ of qualified tabs in the same batch is calculated.

6. A battery production and processing performance detection and analysis system according to claim 5, characterized in that: The quality coefficient of each safety valve is calculated to screen out qualified safety valves from the same batch. The specific analysis method is as follows: Based on the opening pressure F of each safety valve r , pressure relief capacity Y r and response time T r , through the formula: The calculated opening pressure of each safety valve meets the judgment value (QF) r ,in Indicates the range of standard opening pressure of each safety valve extracted from the database; By formula: Calculate the quality coefficient θ of each safety valve r , where T′ represents the response time threshold of the normal operation of the safety valve extracted from the database; If θ r >θ, the quality of the rth safety valve is judged to be qualified, where θ represents the safety valve quality judgment threshold extracted from the database; If θ r ≤θ, the quality of the r-th safety valve is judged to be unqualified, and the r-th safety valve is screened out and does not participate in subsequent further production and processing; Similarly, the quality judgment of each safety valve is completed to obtain qualified safety valves of the same batch.

7. A battery production and processing performance detection and analysis system according to claim 6, characterized in that: The specific analysis method for selecting positive and negative plates and positive and negative tabs of the same type to assemble the same battery is as follows: Based on the quality consistency coefficient χ of qualified plates in the same batch, if χ ≥ ε, a pair of positive and negative plates are randomly selected from each qualified plate in the same batch to be assembled into the same battery, where ε represents the quality consistency coefficient judgment threshold of qualified plates extracted from the database; If χ<ε, then the quality coefficient λ′ of each qualified plate in the same batch is j , extract the minimum and maximum quality coefficients of each qualified plate, starting with the minimum quality coefficient, τ is the interval span, and divide each quality coefficient interval until the divided quality coefficient interval contains the maximum quality coefficient, where τ is the span of the quality coefficient interval division of the qualified plates extracted from the database; Counting qualified plates in each quality coefficient interval, and selecting a pair of positive and negative plates from the qualified plates in each quality coefficient interval to assemble into the same battery; Based on the quality consistency coefficient κ of the qualified tabs of the same batch, the assembly selection of the positive and negative tabs of the battery is completed in the same way.

8. A battery production and processing performance detection and analysis system according to claim 7, characterized in that: The specific analysis method for evaluating the hardware quality level of each battery is as follows: Based on the numbers of the positive and negative plates, positive and negative lugs, and safety valves selected for each battery, the quality coefficient of the positive plate of each battery is obtained. Quality factor of negative plate Quality coefficient of positive electrode ear Quality coefficient of negative electrode ear and the quality coefficient θ′ of the safety valve t , through the formula: Calculate the hardware quality index ζ of each battery t ; If t If the battery is in the first hardware quality interval, the hardware quality level of the t-th battery is determined to be excellent; If t If the battery is in the second hardware quality interval, the hardware quality level of the t-th battery is determined to be good; If t If the battery is in the third hardware quality interval, the hardware quality level of the t-th battery is determined to be average; Similarly, the hardware quality level of each battery is obtained.

9. A battery production and processing performance detection and analysis system according to claim 8, characterized in that: The performance level of each battery is evaluated based on the hardware quality level of each battery. The specific analysis method is as follows: Detect the open circuit voltage of each battery through the voltage sensor Operating voltage Use the internal resistance tester to test the internal resistance R of each battery. t By discharging each fully charged battery from a fully charged state to the lowest voltage state at a set discharge current, recording the discharge time of each battery, and multiplying it by the set discharge current, the capacity A of each battery is obtained. t , where t=1,2,…,Γ, t represents the number of each battery, Γ represents the total number of batteries, and the open circuit voltage of each battery Operating voltage Internal resistance R t and capacity A t , summarize and construct the test power data E of each battery t c, where c = 1, 2, 3, 4, and c represents the number of the power data of each tester; By formula: Calculate the compliance judgment value of each test power parameter of each battery through the formula: Calculate the performance coefficient of each battery in Indicates the standard operating range of each test power data of the battery extracted from the database; If the hardware quality level of the t-th battery is excellent, the following judgment is made: The performance level of the t-th battery is determined to be qualified, otherwise the performance level of the t-th battery is determined to be unqualified, and the t-th battery is screened out and does not participate in the subsequent battery warehouse storage operation. Indicates the performance coefficient judgment interval corresponding to the excellent hardware quality level of the battery extracted from the database; If the hardware quality level of the t-th battery is good, the following judgment is made: The performance level of the t-th battery is determined to be qualified, otherwise the performance level of the t-th battery is determined to be unqualified, and the t-th battery is screened out and does not participate in the subsequent battery warehouse storage operation. Indicates the performance coefficient judgment interval corresponding to the good hardware quality level of the battery extracted from the database; If the hardware quality level of the t-th battery is average, the following judgment is made: The performance level of the t-th battery is determined to be qualified, otherwise the performance level of the t-th battery is determined to be unqualified, and the t-th battery is screened out and does not participate in the subsequent battery warehouse storage operation. Indicates the performance coefficient judgment interval corresponding to the general hardware quality level of the battery extracted from the database; Similarly, the performance level of each battery is evaluated.

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