Performance detection and analysis system for storage battery production and processing

Abstract

The invention discloses a performance detection and analysis system for storage battery production and processing, and particularly relates to the technical field of storage battery performance detection, and the system comprises a production data acquisition and analysis module, a storage battery assembly selection module, a storage battery hardware quality analysis module, a storage battery performance evaluation module and a database. According to the invention, polar plates, tabs and safety valves in the storage battery production process are detected, and qualified polar plates, tabs and safety valves are screened to enter the next production and processing process, so that the performance stability of the polar plates, tabs and safety valves is ensured. According to the method, the performance consistency coefficient of each qualified polar plate and tab is analyzed, the quality coefficients of each polar plate and tab are subjected to interval operation, positive and negative polar plates and positive and negative tabs with similar quality coefficients are screened for assembling the same storage battery, and the quality consistency of the polar plates and tabs is ensured, so that the performance index of the storage battery is improved.

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, the process control of 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 requires not only efficient, stable and precise production lines, but also ensures 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] The prior art, such as the invention patent application announced as CN115754761A, discloses a battery performance detection device and control method thereof, wherein the system includes: a bottom plate and a plurality of detection units for detecting batteries arranged on the bottom plate, wherein the detection units include a charging circuit, a discharging circuit and a voltage sensor. This invention provides a charging and discharging circuit for the battery to be tested through the detection unit, and measures the voltage in the process, and finally completes the battery performance detection by comparing the duration, voltage and temperature data obtained in the process with the preset standard value. Compared with the method of only measuring the battery terminal voltage and simply performing a short-circuit test, the accuracy of battery performance detection is greatly improved, and defective products are prevented from being put into use, thereby ensuring the safety of battery use.

[0004] The prior art, such as the invention patent application announced as CN111570299A, discloses a performance detection and analysis system for battery production and processing, and the system includes: a processing state detection terminal, a water content detection module, an oxidation analysis and processing module, an oxidation thickness detection module, a circulation speed detection module, a flow processing module, a battery parameter storage module, a management server, a screening analysis and processing module, and a screening and sorting mechanism. This invention detects the temperature, humidity, the duration corresponding to each temperature and humidity, the water content, and the air circulation during the processing process, and analyzes the parameters such as each temperature, humidity, and water content detected in each fixed time period, and comprehensively analyzes the theoretical oxidation thickness coefficient and oxidation thickness change of the battery plate under the influence of the environment within each fixed time end, and then analyzes the durability compliance coefficient of the plate after the entire processing process, so as to facilitate the evaluation of the plate performance and the screening of the plate that meets the use and life requirements, thereby maximizing the use efficiency of the plate.

[0005] Combined with the above scheme, it is found that the prior art ignores that the production data of the plates, tabs and safety valves in the production process of the battery will affect its quality, thereby affecting the performance index of the battery, and is limited to the analysis of easily detectable data such as the temperature, humidity and voltage of the environment, which increases the risk of reduced yield rate during the production and processing of the battery, resulting in battery losses during production and processing, and cannot guarantee the safety and practicality of the battery. On the other hand, the quality consistency requirements of the battery for the positive and negative plates and positive and negative tabs are ignored, increasing the risk of the discharge capacity of the battery not meeting the standard during actual use, and the external circuit connection is unstable, resulting in safety hazards such as excessive heating and short circuit in the actual use of the battery, and even causing major safety accidents such as fire, which does not meet the safety requirements for the production and use of batteries. 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] In order 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 collection and analysis module is used to collect production data during the production and processing of batteries, 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 ear, calculating the quality coefficient of each ear, screening out qualified ears from the same batch, calculating the quality consistency coefficient of qualified ears 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 the qualified lugs in the same batch based on their quality consistency coefficients, and selects the positive and negative plates and the positive and negative 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 ears 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 pole ears in the battery production process, and obtains the quality coefficient of each pole ear by analyzing the welding data and test data of each pole ear, so as to screen qualified pole ears to enter the next production and processing process, thereby ensuring the stability of the performance of each pole ear, 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, obtains the quality coefficient of each safety valve, and selects qualified safety valves to enter the next production and processing process, thereby 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, operates the quality coefficient of each plate and tab in intervals, selects positive and negative plates and tabs with similar quality coefficients for assembling the same battery, ensures the quality consistency of the plates and tabs, and thus improves 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 drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. 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 creative work.

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

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

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

[0020] The plate, also known as the battery plate or pole piece, is a key component in the battery. It is the carrier of the electrochemical reaction of the battery and directly participates in the charging and discharging process of the battery. 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] The lug, also known as the battery lug or lug sheet, refers to the conductive part of the battery that connects the positive and negative electrodes to the external circuit. It is usually made of metal material and is connected to the battery plate by welding or other connection methods. Its main function is to provide a circuit channel inside the battery and transfer the battery's charge to the external load to ensure that the battery can work normally.

[0022] The safety valve, also known as the gas discharge valve or pressure relief valve, is a key safety component in battery design. It is mainly used to protect the battery from abnormal conditions such as overcharge, over discharge, internal short circuit, etc., to prevent excessive internal pressure, thereby avoiding leakage, explosion or other dangers of the battery. The safety valve ensures the safety and stability of the battery by automatically adjusting the gas discharge to prevent damage to the battery due to gas accumulation or overheating.

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

[0024] Reference Figure 1 As shown, the present invention provides a performance detection and analysis system for battery production and processing, and the system includes: a production data acquisition and analysis module, which is used to collect production data in the process of battery production and processing, including: collecting various state data and various test data of each electrode plate, calculating the quality coefficient of each electrode plate, screening and obtaining various qualified electrode plates of the same batch, calculating the quality consistency coefficient of the qualified electrode plates of the same batch, collecting various welding data and various test data of each electrode ear, calculating the quality coefficient of each electrode ear, screening and obtaining various qualified electrode ears of the same batch, calculating the quality consistency coefficient of the qualified electrode ears of the same batch, collecting various test data of each safety valve, calculating the quality coefficient of each safety valve, and screening and obtaining various qualified safety valves of the same batch.

[0025] The battery assembly selection module classifies the qualified plates and the qualified lugs in the same batch based on their quality consistency coefficients, and selects the positive and negative plates and the positive and negative 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 ears 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 lug, the standard internal resistance and standard coating thickness of the lug, the range of standard opening pressure of each safety valve, the response time threshold of 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, lug 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 in the battery production process is specifically analyzed by: the various state data of the plate include: the uniform area ratio A of the lead paste coating 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 determined by using a scanner to photograph the surface of the electrode plate after coating using an optical method, 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, 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, discharging it at the same current until the cut-off voltage is reached, and calculating the total amount of electricity passed during the charging and discharging process by recording the charging and discharging time and current. 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, and the internal resistance of each plate is calculated by applying a DC current to each plate and measuring the voltage change using the DC method.

[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 lug, Q represents the total number of lugs, f = 1, 2, 3, 4, 5, f represents the number of each lug 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 determined by taking a surface image of the lug with a scanner, using communication image recognition technology to compare it with the oxidation features stored in a database, extracting the oxidized feature area in the lug surface image, performing contour comparison to obtain the total area of ​​the oxidized feature area in the lug surface image, and dividing it by the surface area of ​​the lug to obtain the degree of oxidation on the welding surface of the lug.

[0039] The test data of the tabs 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 electrode tab is calculated by applying a direct current to each electrode plate and measuring the voltage change using a direct current method.

[0041] The size conformity of the tab is measured by using a CNC image measuring instrument with image recognition technology. The tab is placed on a workbench of the image measuring instrument, an image of the tab is acquired by a camera, the image size is analyzed by computer software, the measured data is compared with the standard data, and the size 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 an accurate pressure gauge and an adjustable pressure source. The pressure in the system is gradually increased by the pressure source. The pressure is continuously monitored using a pressure gauge, and 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. Timing is performed using a technical device from the moment the system pressure reaches the opening pressure of the safety valve until the safety valve is fully opened and begins to release pressure. The resulting duration is the response duration of the safety valve.

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

[0046] By formula: Calculate the 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.

[0047] 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 It indicates the normal range of each plate test data extracted from the database.

[0048] Through the formula: i =ln(α i +β i ), and the quality coefficient λ of each plate is calculated i .

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

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

[0051] Similarly, the quality of each plate is judged, and qualified plates of the same batch are screened, and the quality coefficient λ′ of each qualified plate is extracted. j , j = 1, 2, ..., n, j represents the serial 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 a technician after comprehensive evaluation based on the quality coefficients of each historical plate 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 it is detected that the quality grade of the i-th plate is 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 pole plates in the battery production process, and obtains the quality coefficient of each pole plate by analyzing each state data and each test data of each pole plate, thereby screening qualified pole plates to enter the next production and processing process, ensuring the stability of the performance of each pole 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, and the specific analysis method 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 by the formula: The standard deviation σ of the quality coefficient of qualified plates is calculated.

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

[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 of each tab is calculated as follows: 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] Through the formula: q =ln(γ q +ρ q ), and the mass coefficient η of the tab is calculated 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 ≤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 serial number of each qualified electrode lug, and z represents the total number of qualified electrode lugs.

[0064] It should be noted that, in a specific embodiment, the tab quality judgment threshold is manually preset by a technician after a comprehensive evaluation based on 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 pole lugs in the battery production process, and obtains the quality coefficient of each pole lug by analyzing the welding data and test data of each pole lug, so as to screen qualified pole lugs to enter the next production and processing process, thereby ensuring the stability of the performance of each pole lug, 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 was 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 the 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 a technician after a comprehensive evaluation based on 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, generally analyzes the test data of each safety valve, obtains the quality coefficient of each safety valve, and screens qualified safety valves to enter the next production and processing process, thereby 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 ears in the same category are selected for assembling the same battery, and the specific analysis method is: based on the quality consistency coefficient χ of the qualified plates in the same batch, if χ≥ε, then arbitrarily select a pair of positive and negative plates from each qualified plate in the same batch to assemble the same battery, wherein 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, start with the minimum quality coefficient, τ is the interval span, 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 plate 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, 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 based on the minimum quality coefficient of the qualified plate and τ as the span of the division interval to obtain [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 pole plates and pole lugs in the battery production process, analyzes the performance consistency coefficients of each qualified pole plate and pole lug, operates the quality coefficients of each pole plate and pole lug in intervals, selects each positive and negative pole plate and pole lug with similar quality coefficients to assemble the same battery, thereby ensuring the quality consistency of the pole plates and pole lugs, 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 the battery.

[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 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 factor of positive electrode Quality factor of negative electrode ear and the quality coefficient θ′ of the safety valve t , through the formula: Calculate the hardware quality index 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 an 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 a minimum voltage state at a set discharge current, recording the discharge time of each battery, and multiplying it by the set discharge current to obtain the capacity A of each battery 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, c represents the number of the power data of each test machine.

[0090] By formula: The compliance judgment value of each test power parameter of each battery is calculated by 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 tth 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 tth 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. It represents 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 tth 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, which 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 specific embodiments described 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 shall all fall within the protection scope 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 collection and analysis module is used to collect production data in the production and processing of storage batteries, including: collecting various state data and test data of each plate, calculating the quality coefficient of each plate, screening out various qualified plates of the same batch, calculating the quality consistency coefficient of the qualified plates of the same batch, collecting various welding data and test data of each lug, calculating the quality coefficient of each lug, screening out various qualified lugs of the same batch, calculating the quality consistency coefficient of the qualified lugs of the same batch, collecting various test data of each safety valve, calculating the quality coefficient of each safety valve, and screening out various qualified safety valves of the same batch; The battery assembly selection module classifies the qualified plates and the qualified tabs of the same batch based on their quality consistency coefficients, and selects the positive and negative plates and the positive and negative tabs of the same category for assembly of the same battery; 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; 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 production data in the battery production process are specifically: 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 Including: 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 lug, Q represents the total number of lugs, f = 1, 2, 3, 4, 5, f represents the number of each lug welding data; The test data of the tabs 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.

3. A battery production and processing performance detection and analysis system according to claim 2, characterized in that: The quality coefficient of each electrode plate is calculated to screen out qualified electrode plates of the same batch, and the specific analysis method is as follows: 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: Calculate the 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 It indicates the normal range of each test data of the plate extracted from the database; Through the formula: i =ln(α i +β i ), and the quality coefficient λ of each plate is calculated i ; If 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 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, the quality of each plate is judged, and qualified plates of the same batch are screened, and the quality coefficient λ′ of each qualified plate is extracted. j , j = 1, 2, ..., n, j represents the serial number of each qualified plate, and n represents the total number of qualified plates.

4. A battery production and processing performance detection and analysis system according to claim 3, characterized in that: The specific analysis method for calculating the quality consistency coefficient of the same batch of qualified plates 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 by 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 is calculated.

5. A battery production and processing performance detection and analysis system according to claim 4, characterized in that: The quality coefficient of each tab is calculated to screen out qualified tabs of the same batch, and 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 lug 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 of each tab is calculated as follows: 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; Through the formula: q =ln(γ q +ρ q ), and the mass coefficient η of the tab is calculated q ; 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; If η q ≤η, the quality of the qth tab is judged to be unqualified, and the qth tab is screened out and does not participate in the 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 serial number of each qualified electrode lug, and z represents the total number of qualified electrode lugs.

6. A battery production and processing performance detection and analysis system according to claim 5, characterized in that: The specific analysis method for calculating the quality consistency coefficient of the qualified tabs of 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 the qualified lug; By formula: The quality consistency coefficient κ of qualified tabs in the same batch was calculated.

7. A battery production and processing performance detection and analysis system according to claim 6, characterized in that: 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 represents the range of standard opening pressures 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 the subsequent further production and processing; Similarly, the quality judgment of each safety valve is completed to obtain qualified safety valves of the same batch.

8. A battery production and processing performance detection and analysis system according to claim 7, characterized in that: The specific analysis method of 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 the qualified plates in the same batch, if χ≥ε, a pair of positive and negative plates are randomly selected from the qualified plates in the same batch to assemble the same battery, where ε represents the quality consistency coefficient judgment threshold of the 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 plate 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 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.

9. A battery production and processing performance detection and analysis system according to claim 8, 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 factor of positive electrode Quality factor of negative electrode ear and the quality coefficient θ′ of the safety valve t , through the formula: Calculate the hardware quality index 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.

10. A battery production and processing performance detection and analysis system according to claim 9, characterized in that: The performance level of each battery is evaluated based on the hardware quality level of each battery, and the specific analysis method is as follows: Detect the open circuit voltage of each battery through the voltage sensor Operating voltage Use an 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 a minimum voltage state at a set discharge current, recording the discharge time of each battery, and multiplying it by the set discharge current to obtain the capacity A of each battery 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, c represents the number of the power data of each test machine; By formula: The compliance judgment value of each test power parameter of each battery is calculated by the formula: Calculate the performance coefficient of each battery in Indicates the standard working range of each test power data of the battery extracted from the database; If the hardware quality level of the tth 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 tth 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. represents 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 tth 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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