New energy battery test data processing method and system based on digital twinning

Abstract

The invention discloses a new energy battery test data processing method and system based on digital twinning, and relates to the technical field of electronic digital data processing. Firstly, production flow data of the new energy battery are collected, test device configuration parameters of the new energy battery are obtained through analysis, parameter configuration is carried out, the production history of the battery can be traced, and more accurate data are obtained in subsequent tests according to the production history; the new energy battery test process is monitored and analyzed in real time according to the configured test device to obtain basic performance test information which can reflect the basic performance of the battery, and then based on the basic performance test information of the new energy battery, new energy battery performance test influence parameters are synchronously collected and analyzed to obtain a performance test result. The method can comprehensively reflect the actual performance of the battery, finally adjusts the configuration of the new energy battery, carries out the transmission configuration of the test data of the new energy battery, and can carry out the continuous optimization of the performance of the new energy battery.

Description

Technical Field

[0001] The present invention relates to the technical field of electronic digital data processing, and specifically to a new energy battery test data processing method and system based on digital twins. Background Art

[0002] In the field of new energy battery testing technology, battery performance testing and data processing are directly related to battery safety, reliability and service life. Traditional battery testing has problems such as low data processing efficiency and low accuracy, and cannot meet the real-time monitoring needs of large-scale battery packs. The new energy battery test data processing system can efficiently process the multi-dimensional data of new energy batteries and provide scientific performance evaluation and fault warning.

[0003] Prior art, such as a lithium-ion battery data processing method, computer equipment and storage medium disclosed in the invention patent announcement with announcement number: CN112883531B. The method includes: determining the first OCV-SOC curve of the positive half-battery according to the first experimental data and the second OCV-SOC curve of the negative half-battery according to the second experimental data; obtaining the structural material parameters of the lithium-ion battery; recording the test data of the battery test under different test conditions of the lithium-ion battery; establishing an electrochemical thermal coupling model; and identifying the preset internal parameters of the battery according to the first OCV-SOC curve, the second OCV-SOC curve, the structural material parameters, the test data and the electrochemical thermal coupling model.

[0004] The prior art, such as the invention patent announcement with announcement number: CN114996918B, discloses a multi-data fusion sensor data processing traceability method based on digital twin technology, which belongs to the technical field of engineering reliability analysis. It uses a digital twin model and Fabric blockchain technology established in the cloud to ensure the authenticity of the traceability data, clarify the data processing process, and realize monitoring and backtracking of each link of data processing, providing an effective solution for tracing the thermal runaway of new energy batteries.

[0005] Combined with the above scheme, it is found that in the current field of new energy battery testing technology, usually only the battery test data processing process is analyzed. However, the new energy battery testing process will be affected by other factors, which will affect the actual working status and performance parameters of the new energy battery. It is impossible to effectively measure the complex dynamics of the new energy battery under actual use conditions, which may lead to a decrease in the accuracy of the new energy battery test data, and then lead to inaccurate new energy battery performance evaluation, affecting the safety evaluation of the new energy battery. Summary of the invention

[0006] In view of the shortcomings of the prior art, the present invention provides a new energy battery test data processing method and system based on digital twins, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: a new energy battery test data processing method based on digital twins, including collecting the production process data of new energy batteries, analyzing the configuration parameters of the test device of the new energy battery, and configuring the parameters of the test device by the central controller.

[0008] The configured test device monitors the new energy battery test process in real time and analyzes the basic performance test information of the new energy battery.

[0009] Based on the basic performance test information of new energy batteries, the parameters affecting the performance test of new energy batteries are collected synchronously, and the performance test results of new energy batteries are obtained through analysis.

[0010] The new energy battery configuration is adjusted according to the performance test results of the new energy battery, and the new energy battery test data is transmitted and configured.

[0011] Furthermore, the production process data of the new energy battery includes electrode thickness, electrode porosity, open circuit voltage, internal impedance and initial capacitance of the new energy battery.

[0012] Based on the production process data of the new energy battery, a production quality assessment value of the new energy battery is obtained through processing, and the production quality assessment value of the new energy battery is used to comprehensively quantify the quality level in the production process of the new energy battery.

[0013] Furthermore, the analysis obtains configuration parameters of the test device for the new energy battery. The specific process is: matching the production quality assessment value of the new energy battery with the test frequency corresponding to each production quality assessment value interval stored in the battery test database, counting the test frequency corresponding to the interval in which the production quality assessment value of the new energy battery is located, recorded as the test frequency of the new energy battery, and performing parameter configuration on the test device for the new energy battery according to the test frequency of the new energy battery.

[0014] Furthermore, the new energy battery test process is monitored in real time according to the configured test device. The specific process is: the new energy battery test process is monitored in real time according to the configured test device, and the new energy battery test process data is obtained by statistics. The new energy battery test process data includes the thermal runaway temperature, self-discharge rate and initial capacity retention rate of the new energy battery, and also includes the average current of each test of the new energy battery, the charge and discharge rate and the maximum temperature of the battery surface.

[0015] A comprehensive analysis is performed on the new energy battery test process data to obtain basic performance test analysis index values ​​for new energy batteries, which are used to comprehensively quantify basic performance and reliability of new energy batteries.

[0016] Furthermore, the analysis obtains basic performance test information of the new energy battery, and the specific process is: the basic performance test information of the new energy battery includes execution warning and non-execution warning.

[0017] The basic performance test analysis index value of the new energy battery is compared with the set basic performance test analysis index threshold. If the basic performance test analysis index value of the new energy battery is higher than the set basic performance test analysis index threshold, the basic performance test information of the new energy battery is marked as not to execute the warning, otherwise the basic performance test information of the new energy battery is marked as to execute the warning.

[0018] Extract the basic performance test information of the new energy battery. If the basic performance test information of the new energy battery is an execution warning, the basic performance test information of the new energy battery will be displayed on the digital twin test information monitoring visualization screen, and the warning information will be sent to the mobile transmission terminal.

[0019] Furthermore, the analysis obtains the performance test results of the new energy battery, and the specific process is: the influencing parameters of the new energy battery performance test include the electromagnetic field strength outside the new energy battery test, the temperature gradient, the input voltage fluctuation extreme value and the input power frequency.

[0020] If the basic performance test information of the new energy battery is not to execute the warning, the performance test impact evaluation value of the new energy battery is processed based on the new energy battery performance test influencing parameters, and the performance test impact evaluation value of the new energy battery is used to comprehensively quantify the influence of different influencing factors on the performance test.

[0021] The performance test impact assessment value of the new energy battery is matched with the performance quality assessment interference factor corresponding to each performance test impact assessment value interval stored in the battery test database, and the performance quality assessment interference factor corresponding to the interval in which the performance test impact assessment value is located is counted and recorded as the performance quality assessment impact factor of the new energy battery.

[0022] Based on the basic performance test analysis index values ​​of new energy batteries, combined with the performance quality evaluation influencing factors of new energy batteries, a comprehensive analysis is performed to obtain a comprehensive performance evaluation value of the new energy battery. The comprehensive performance evaluation value of the new energy battery is used to comprehensively quantify the overall performance of the new energy battery.

[0023] The performance test results of the new energy battery include a qualified comprehensive performance evaluation and a failed comprehensive performance evaluation.

[0024] The comprehensive performance evaluation value of the new energy battery is compared with the set comprehensive performance evaluation threshold. If the comprehensive performance evaluation value of the new energy battery is higher than or equal to the set comprehensive performance evaluation threshold, the performance test result of the new energy battery is marked as qualified in the comprehensive performance evaluation; otherwise, the performance test result of the new energy battery is marked as unqualified in the comprehensive performance evaluation.

[0025] Furthermore, the configuration of the new energy battery is adjusted according to the performance test result of the new energy battery. The specific process is: extracting the performance test result of the new energy battery; if the performance test result of the new energy battery is qualified in the comprehensive performance evaluation, continuing to configure the new energy battery with the current new energy battery overcharge protection threshold; if the performance test result of the new energy battery is unqualified in the comprehensive performance evaluation, the difference between the set comprehensive performance evaluation threshold and the comprehensive performance evaluation value of the new energy battery is recorded as the new energy battery configuration adjustment control value.

[0026] According to the new energy battery configuration adjustment control value matching, the new energy battery overcharge protection threshold is obtained, and the new energy battery configuration parameter adjustment is performed, and the performance test results of the new energy battery are displayed on the digital twin test information monitoring visualization screen.

[0027] Furthermore, the transmission configuration of the new energy battery test data is specifically carried out as follows: extracting the basic performance test information of the new energy battery and the performance test results of the new energy battery; if the basic performance test information of the new energy battery is an execution warning, the new energy battery test process data is transmitted to the local database; if the performance test result of the new energy battery is qualified in the comprehensive performance evaluation, the new energy battery test process data is transmitted to the cloud database; if the performance test result of the new energy battery is unqualified in the comprehensive performance evaluation, the new energy battery test process data is transmitted to the local database.

[0028] Furthermore, the performance test of the new energy battery affects the evaluation value, and the specific analysis conditions are:

[0029] In the formula, τ represents the performance test impact evaluation value of the new energy battery, b1 represents the electromagnetic field strength outside the new energy battery test, ω1 represents the performance test evaluation factor corresponding to the set unit electromagnetic field strength, b2 represents the temperature gradient outside the new energy battery test, ω2 represents the performance test evaluation factor corresponding to the set unit temperature gradient, b4 represents the input voltage fluctuation extreme value outside the new energy battery test, ω4 represents the performance test evaluation factor corresponding to the set unit input voltage fluctuation extreme value, b5 represents the input power frequency outside the new energy battery test, Δb5 represents the set reference input power frequency, and e represents a natural constant.

[0030] The second aspect of the present invention provides a new energy battery test data processing system based on digital twins, including: a production quality analysis module, used to collect production process data of new energy batteries, analyze and obtain configuration parameters of the test device of the new energy battery, and the central controller configures the parameters of the test device.

[0031] The basic performance analysis module is used to monitor the new energy battery test process in real time according to the configured test device, and analyze the basic performance test information of the new energy battery.

[0032] The comprehensive performance evaluation module is used to synchronously collect the influencing parameters of the new energy battery performance test based on the basic performance test information of the new energy battery, and analyze the performance test results of the new energy battery.

[0033] The transmission adjustment module is configured to adjust the configuration of the new energy battery according to the performance test results of the new energy battery and to transmit the test data of the new energy battery.

[0034] The present invention has the following beneficial effects:

[0035] (1) The present invention provides a new energy battery test data processing method and system based on digital twins. First, the production process data of the new energy battery is collected for parameter configuration, which helps to provide the reliability of subsequent test results. Then, the new energy battery test process is monitored in real time, and battery performance abnormalities can be discovered in time. Finally, the performance test results are analyzed to adjust the new energy battery configuration, and the new energy battery test data is transmitted and configured, which can further improve the performance of the new energy battery.

[0036] (2) The present invention obtains the configuration parameters of the test device of the new energy battery by analysis, and then performs parameter configuration to more accurately capture the performance of the new energy battery under different working conditions, thereby improving the representativeness and accuracy of the test data. The optimization of the test frequency helps to better identify the slight changes of the new energy battery in the load changes, thereby improving the reliability of the test results, reducing the test errors, and ultimately improving the overall quality control level of the new energy battery.

[0037] (3) The present invention obtains the performance test results of new energy batteries through analysis, monitors in real time and synchronously collects the influencing parameters, can identify potential sources of errors in the performance test of new energy batteries, reduce the interference of other factors on the test results, and improve the accuracy of data testing. Accurate test data helps to optimize the design of new energy batteries, thereby improving the performance stability and life of new energy batteries in practical applications.

[0038] (4) The present invention can reduce the damage of new energy batteries due to overcharging by adjusting the configuration of new energy batteries and configuring the transmission of new energy battery test data, thereby extending the service life of new energy batteries and improving the safety and reliability of new energy batteries. Optimizing the data storage method can improve the integrity and reliability of test data, provide accurate historical data for subsequent performance analysis, and help reduce test errors due to data loss.

[0039] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a schematic diagram of the method flow of the present invention.

[0041] Figure 2 It is a schematic diagram of system module connection of the present invention. DETAILED DESCRIPTION

[0042] 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.

[0043] See also Figure 1 As shown, an embodiment of the present invention provides a technical solution: a new energy battery test data processing method based on digital twins, including collecting production process data of new energy batteries, analyzing to obtain configuration parameters of the test device of the new energy battery, and configuring parameters of the test device by a central controller.

[0044] The configured test device monitors the new energy battery test process in real time and analyzes the basic performance test information of the new energy battery.

[0045] Based on the basic performance test information of new energy batteries, the parameters affecting the performance test of new energy batteries are collected synchronously, and the performance test results of new energy batteries are obtained through analysis.

[0046] The new energy battery configuration is adjusted according to the performance test results of the new energy battery, and the new energy battery test data is transmitted and configured.

[0047] Specifically, the production process data of new energy batteries include electrode thickness, electrode porosity, open circuit voltage, internal impedance and initial capacitance of new energy batteries.

[0048] It should be added that the electrode thickness of new energy batteries refers to the thickness of the electrode material of new energy batteries, the electrode porosity of new energy batteries refers to the ratio of the pore volume to the total volume of the electrode material of new energy batteries, the open circuit voltage of new energy batteries refers to the voltage of the battery when it is not connected to an external circuit, that is, the potential difference between the two poles of the battery, the internal impedance of new energy batteries refers to the resistance to the flow of current inside the battery, and the initial capacitance of new energy batteries refers to the battery's ability to store charge after the first charge.

[0049] It should be noted that the electrode thickness, electrode porosity, open circuit voltage, internal impedance and initial capacitance of new energy batteries can be measured respectively by thickness gauge, density measurement and analysis method, high-precision voltmeter, AC impedance spectrometer and constant current charge and discharge test.

[0050] Based on the production process data of the new energy battery, a production quality assessment value of the new energy battery is obtained through processing, and the production quality assessment value of the new energy battery is used to comprehensively quantify the quality level in the production process of the new energy battery.

[0051] In this embodiment, the production quality assessment value of the new energy battery can be obtained by the following analysis method, and the specific analysis conditions are as follows:

[0052]

[0053] In the formula, β represents the production quality assessment value of the new energy battery, a1 represents the electrode thickness of the new energy battery, Δa1 represents the set reference electrode thickness, a2 represents the electrode porosity of the new energy battery, Δa2 represents the set reference electrode porosity, a3 represents the open circuit voltage of the new energy battery, μ3 represents the production quality assessment factor corresponding to the set unit open circuit voltage, a4 represents the internal impedance of the new energy battery, μ4 ​​represents the production quality assessment factor corresponding to the set unit internal impedance, a5 represents the initial capacitance of the new energy battery, and Δa5 represents the set reference initial capacitance.

[0054] It should be noted that the thicker electrode thickness of new energy batteries can increase the battery's energy storage capacity, thereby improving the battery's energy density and endurance. The increase in electrode thickness may also bring some problems such as increasing internal resistance, reducing charging and discharging efficiency, and affecting the battery's cycle life. Therefore, the lower the absolute value of the difference between the electrode thickness of the new energy battery and the reference electrode thickness, the greater the production quality assessment value. Appropriate electrode porosity can promote rapid ion conduction and increase the battery's charge and discharge rate. Excessively high porosity may lead to reduced mechanical strength of the electrode and affect the long-term stability of the battery. Therefore, the lower the absolute value of the difference between the electrode porosity of the new energy battery and the reference electrode porosity, the greater the production quality assessment value. The higher the open circuit voltage of the new energy battery, the generally The higher the potential of the battery, the greater the energy output and the larger the production quality assessment value. Lower internal impedance usually means that the battery can transfer energy more quickly during the charge and discharge process, thereby improving the power density and charge and discharge efficiency of the battery. Higher internal impedance can lead to energy loss, heat and other problems, affecting the overall performance and life of the battery. Therefore, the smaller the internal impedance of the new energy battery, the greater the production quality assessment value. Higher initial capacitance usually means that the battery can provide a larger instantaneous current and is suitable for high power requirements. Excessive initial capacitance may cause premature aging of the battery and affect the battery's cycle performance and stability. The lower the absolute value of the difference between the initial capacitance of the new energy battery and the reference initial capacitance, the greater the production quality assessment value.

[0055] It should be added that, in this embodiment, the production quality assessment factor corresponding to the preset unit open circuit voltage and the production quality assessment factor corresponding to the preset unit internal impedance are obtained from the battery test database.

[0056] It needs to be explained that the production quality assessment factors corresponding to the unit open circuit voltage and the unit internal impedance are respectively used to adjust the importance of the open circuit voltage and internal impedance of the new energy battery in the process of analyzing and obtaining the production quality assessment value. There is a pre-set mapping relationship between the real-time production process data of the new energy battery and the corresponding production quality assessment factors in the battery testing database. The production quality assessment factors corresponding to the real-time production process data of the new energy battery can be matched through the pre-set mapping relationship. For example, the open circuit voltage and internal impedance of the new energy battery are respectively matched with the pre-set mapping relationship to obtain the production quality assessment factors corresponding to the unit open circuit voltage and unit internal impedance.

[0057] In this embodiment, the electrode thickness, electrode porosity, open circuit voltage, internal impedance and initial capacitance of the new energy battery are correlated and do not exist independently. For example, thicker electrodes of new energy batteries can provide more charge storage space, but may bring higher internal impedance, thereby affecting the charging and discharging efficiency of the new energy battery. The electrode porosity affects the efficiency of ion transmission. Higher electrode porosity can usually improve ion conductivity and reduce the internal impedance of the new energy battery, but too high electrode porosity may cause unstable electrode structure. The open circuit voltage is directly related to the overall potential difference of the new energy battery, which can reflect the energy density of the new energy battery and is usually closely related to the selection and structure of the electrode material. The internal impedance represents the charge transfer resistance inside the new energy battery. Lower impedance helps to improve the discharge performance of the battery, while the initial capacitance is closely related to the energy storage capacity of the battery and is usually closely related to the properties and structure of the electrode material and the formulation of the electrolyte. The production quality evaluation value of the new energy battery obtained by comprehensive analysis can more accurately evaluate the production quality of the new energy battery, which can be used to optimize the production process of the new energy battery and improve the stability of the new energy battery in practical applications.

[0058] Specifically, the configuration parameters of the test device for the new energy battery are analyzed, and the specific process is: matching the production quality assessment value of the new energy battery with the test frequency corresponding to each production quality assessment value interval stored in the battery test database, counting the test frequency corresponding to the interval in which the production quality assessment value of the new energy battery is located, recorded as the test frequency of the new energy battery, and configuring the parameters of the test device for the new energy battery according to the test frequency of the new energy battery.

[0059] It should be noted that the testing frequency of new energy batteries refers to the testing conducted at a certain period during the storage period of the battery.

[0060] It should be added that the analysis of the production process data of new energy batteries can reflect the production quality of new energy batteries. If there are problems with the production quality, using the original default test frequency to conduct subsequent performance tests of the new energy batteries may cause inaccurate performance tests of the new energy batteries and fail to accurately analyze specific problems of the new energy batteries. Therefore, the performance test frequency of new energy batteries needs to be adjusted according to the production process data of new energy batteries.

[0061] Specifically, the new energy battery test process is monitored in real time according to the configured test device. The specific process is: the new energy battery test process is monitored in real time according to the configured test device, and the new energy battery test process data is obtained by statistics. The new energy battery test process data includes the thermal runaway temperature, self-discharge rate and initial capacity retention rate of the new energy battery, and also includes the average current of each test of the new energy battery, the charge and discharge rate and the maximum temperature of the battery surface.

[0062] It should be added that the thermal runaway temperature of new energy batteries refers to the critical temperature of the battery under specific conditions, at which the temperature rises sharply due to internal heat accumulation, and eventually loses control and causes a safety accident. The self-discharge rate of new energy batteries refers to the rate at which the battery loses power naturally when there is no external circuit connection during storage. The initial capacity retention rate refers to the ratio of the remaining capacity to the initial capacity after the battery has been used for a period of time. The charge and discharge rate of each test of the new energy battery refers to the rate at which the battery charges and discharges per unit time.

[0063] It should be noted that the thermal runaway temperature of the new energy battery and the maximum surface temperature of the battery in each test of the new energy battery can be measured respectively through temperature sensors, the self-discharge rate of the new energy battery, the initial capacity retention rate of the new energy battery, the average current of each test of the new energy battery and the charge and discharge rate of each test of the new energy battery can be monitored in real time through the data acquisition system.

[0064] A comprehensive analysis is performed on the new energy battery test process data to obtain basic performance test analysis index values ​​for new energy batteries, which are used to comprehensively quantify basic performance and reliability of new energy batteries.

[0065] In this embodiment, the basic performance test analysis index value of the new energy battery can be obtained by the following analysis method, and the specific analysis conditions are as follows:

[0066]

[0067] In the formula, γ represents the basic performance test analysis index value of new energy batteries, c1 represents the thermal runaway temperature of new energy batteries, It represents the basic performance test analysis factor corresponding to the set unit thermal runaway temperature, c2 represents the self-discharge rate of the new energy battery, It indicates the basic performance test analysis factor corresponding to the set unit self-discharge rate, c3 indicates the initial capacity retention rate of the new energy battery, Indicates the basic performance test analysis factor corresponding to the set unit initial capacity retention rate, d 1→i Indicates the average current of the new energy battery in the i-th test, Δd 1→i Indicates the i-th test reference current of the set new energy battery, d 2→i Indicates the charge and discharge rate of the new energy battery in the i-th test, Δd 2→i Indicates the reference charge and discharge rate of the i-th test of the set new energy battery, d 3→i Indicates the maximum temperature of the battery surface in the ith test of the new energy battery, Δd 3→iIt indicates that the i-th test of the set new energy battery refers to the maximum temperature of the battery surface, i represents the number of each test, i=1,2,3,…,n, n represents the total number of tests, and e represents a natural constant.

[0068] It should be noted that a lower thermal runaway temperature means that the battery is more likely to be dangerous in the event of overheating. Therefore, the lower the thermal runaway temperature of the new energy battery, the lower the basic performance test analysis index value. The lower the self-discharge rate of the new energy battery, the better the storage performance of the battery, and the larger the basic performance test analysis index value. The higher the initial capacity retention rate of the new energy battery, the better the cycle performance of the battery, and the larger the basic performance test analysis index value. A larger current of a new energy battery means that the battery can provide more power in a short time. However, if the battery is subjected to excessive current for a long time, it may cause overheating and battery aging. Therefore, the average current of each test of the new energy battery is The smaller the absolute value of the difference with the reference current, the larger the basic performance test analysis index value. A higher charge and discharge rate means that the battery can charge and discharge faster. Excessively high charge and discharge rates may shorten the cycle life of the battery. The smaller the absolute value of the difference between the charge and discharge rates of each test of the new energy battery and the reference charge and discharge rate, the larger the basic performance test analysis index value. The maximum surface temperature of the battery needs to be within a reasonable range. If the maximum surface temperature of the battery is too high, it may cause battery performance to deteriorate. Therefore, the smaller the absolute value of the difference between the maximum surface temperature of each test battery of the new energy battery and the maximum surface temperature of the reference battery, the larger the basic performance test analysis index value.

[0069] It should be added that, in this embodiment, the basic performance test analysis factor corresponding to the preset unit thermal runaway temperature, the basic performance test analysis factor corresponding to the unit self-discharge rate, and the basic performance test analysis factor corresponding to the unit initial capacity retention rate are obtained from the battery test database.

[0070] It needs to be explained that the basic performance test analysis factors corresponding to the unit thermal runaway temperature, unit self-discharge rate and unit initial capacity retention rate are respectively used to adjust the importance of the thermal runaway temperature, self-discharge rate and initial capacity retention rate of new energy batteries in the process of analyzing and obtaining the basic performance test analysis index values. There is a pre-set mapping relationship between the real-time new energy battery test process data and the corresponding basic performance test analysis factors in the battery test database. The basic performance test analysis factors corresponding to the real-time new energy battery test process data can be matched through the pre-set mapping relationship. For example, the thermal runaway temperature, self-discharge rate and initial capacity retention rate of the new energy battery are respectively matched with the pre-set mapping relationship to obtain the basic performance test analysis factors corresponding to the unit thermal runaway temperature, unit self-discharge rate and unit initial capacity retention rate.

[0071] In this implementation scheme, the new energy battery test process data includes the thermal runaway temperature, self-discharge rate, initial capacity retention rate, average current of each test of the new energy battery, charge and discharge rate and the maximum temperature of the battery surface. There is a correlation between them and they do not exist independently. For example, a lower thermal runaway temperature usually means that the battery is prone to overheating or fire under long-term use or high load. An excessively high self-discharge rate may mean that the long-term stability of the battery is poor, which is closely related to the initial capacity retention rate of the battery. The initial capacity retention rate reflects the energy retention ability of the battery during multiple charge and discharge processes. The average test current and charge and discharge rate directly affect the battery's charge and discharge efficiency and temperature changes. A higher charge and discharge rate may cause the maximum temperature of the battery surface to be too high, thereby affecting the battery's thermal runaway temperature and self-discharge rate. The change in the maximum temperature of the battery surface is a comprehensive reflection of multiple factors, that is, it is related to the charge and discharge rate and the average current, and is also affected by the internal chemical reaction of the battery and the thermal conductivity characteristics of the material. The basic performance test analysis index values ​​of new energy batteries are obtained through comprehensive analysis, which can more accurately evaluate the behavior patterns of batteries under different working conditions and ensure the efficiency and safety of new energy batteries in practical applications.

[0072] Specifically, basic performance test information of the new energy battery is obtained through analysis, and the specific process is as follows: the basic performance test information of the new energy battery includes executing warning and not executing warning.

[0073] The basic performance test analysis index value of the new energy battery is compared with the set basic performance test analysis index threshold. If the basic performance test analysis index value of the new energy battery is higher than the set basic performance test analysis index threshold, the basic performance test information of the new energy battery is marked as not to execute the warning, otherwise the basic performance test information of the new energy battery is marked as to execute the warning.

[0074] Extract the basic performance test information of the new energy battery. If the basic performance test information of the new energy battery is an execution warning, the basic performance test information of the new energy battery will be displayed on the digital twin test information monitoring visualization screen, and the warning information will be sent to the mobile transmission terminal.

[0075] It should be added that the analysis of new energy battery test process data can reflect the basic performance of new energy batteries. If production is carried out when the basic performance of new energy batteries is unqualified, it may cause the performance of subsequent new energy batteries to decline. Therefore, early warning prompts are needed based on the new energy battery test process data.

[0076] Specifically, the performance test results of the new energy battery are analyzed, and the specific process is: the influencing parameters of the new energy battery performance test include the electromagnetic field strength outside the new energy battery test, the temperature gradient, the input voltage fluctuation extreme value and the input power frequency.

[0077] It should be added that the temperature gradient outside the new energy battery test refers to the temperature distribution in the battery environment. The electromagnetic field strength, temperature gradient, input voltage fluctuation extremes and input power frequency outside the new energy battery test are measured using an electromagnetic field detector, temperature sensor, oscilloscope and frequency meter.

[0078] If the basic performance test information of the new energy battery is not to execute the warning, the performance test impact evaluation value of the new energy battery is processed based on the new energy battery performance test influencing parameters, and the performance test impact evaluation value of the new energy battery is used to comprehensively quantify the influence of different influencing factors on the performance test.

[0079] Specifically, the performance test of new energy batteries affects the evaluation value, and the specific analysis conditions are:

[0080]

[0081] In the formula, τ represents the performance test impact evaluation value of the new energy battery, b1 represents the electromagnetic field strength outside the new energy battery test, ω1 represents the performance test evaluation factor corresponding to the set unit electromagnetic field strength, b2 represents the temperature gradient outside the new energy battery test, ω2 represents the performance test evaluation factor corresponding to the set unit temperature gradient, b4 represents the input voltage fluctuation extreme value outside the new energy battery test, ω4 represents the performance test evaluation factor corresponding to the set unit input voltage fluctuation extreme value, b5 represents the input power frequency outside the new energy battery test, Δb5 represents the set reference input power frequency, and e represents a natural constant.

[0082] It should be noted that the battery may be disturbed by the outside world when working under a strong electromagnetic field, which may affect the flow of electrons or electrochemical reactions inside the battery and cause the battery performance to deteriorate. Therefore, the greater the electromagnetic field strength outside the new energy battery test, the greater the performance test impact assessment value; the greater the temperature gradient outside the new energy battery test, the greater the thermal stress inside the battery will be increased, affecting the chemical stability and physical structure of the battery, and the greater the performance test impact assessment value; a large extreme value of the input voltage fluctuation outside the new energy battery test may mean that the battery voltage stability is poor, which may cause the battery to overcharge or over-discharge during operation, and the performance test impact assessment value is also large; the input power frequency outside the new energy battery test will affect the charging efficiency; the greater the absolute value of the difference between the input power frequency outside the new energy battery test and the reference input power frequency, the lower the charging efficiency will be, and the greater the performance test impact assessment value.

[0083] It should be added that, in this embodiment, the performance test evaluation factor corresponding to the preset unit electromagnetic field strength, the performance test evaluation factor corresponding to the unit temperature gradient, the performance test evaluation factor corresponding to the unit radioactive contamination level and the performance test evaluation factor corresponding to the unit input voltage fluctuation extreme value are obtained from the battery test database.

[0084] It needs to be explained that the performance test evaluation factors corresponding to the unit electromagnetic field strength, unit temperature gradient and unit input voltage fluctuation extreme value are respectively used to adjust the importance of the electromagnetic field strength, temperature gradient and input voltage fluctuation extreme value outside the new energy battery test in the process of analyzing the performance test impact evaluation value. There is a pre-set mapping relationship between the real-time new energy battery performance test influencing parameters and the corresponding performance test evaluation factors in the battery test database. The performance test evaluation factors corresponding to the real-time new energy battery performance test influencing parameters can be matched through the pre-set mapping relationship. For example, the electromagnetic field strength, temperature gradient and input voltage fluctuation extreme value outside the new energy battery test are respectively matched with the pre-set mapping relationship to obtain the performance test evaluation factors corresponding to the unit electromagnetic field strength, unit temperature gradient and unit input voltage fluctuation extreme value.

[0085] In this implementation scheme, the external electromagnetic field strength, temperature gradient, input voltage fluctuation extreme value and input power frequency of the new energy battery test are correlated and do not exist independently. The interaction of these parameters determines the changes in the battery performance test environment, which in turn affects the accuracy and reliability of the test results. For example, changes in the electromagnetic field strength may cause fluctuations in the internal current of the battery, thereby affecting the battery's charging and discharging efficiency. The temperature gradient will cause uneven temperature distribution inside the battery, thereby affecting the battery's thermal management and chemical reaction rate, and may even cause battery performance degradation or safety hazards. The input voltage fluctuation extreme value may cause the battery voltage to exceed the limit during the charging and discharging process, thereby affecting the battery's safety and performance, and the fluctuation of the input power frequency may affect the battery's charging strategy and efficiency. Comprehensive analysis to obtain the performance test impact evaluation value of the new energy battery can more accurately evaluate the degree of influence of different external environments on battery performance, thereby optimizing the overall performance of the battery in the design and testing stage, reducing errors and interference caused by external environmental factors, and improving the reliability and consistency of the test results.

[0086] The performance test impact assessment value of the new energy battery is matched with the performance quality assessment interference factor corresponding to each performance test impact assessment value interval stored in the battery test database, and the performance quality assessment interference factor corresponding to the interval in which the performance test impact assessment value is located is counted and recorded as the performance quality assessment impact factor of the new energy battery.

[0087] It should be noted that by matching the performance test impact evaluation values ​​of new energy batteries to obtain the performance quality evaluation influencing factors of new energy batteries, the main external factors affecting battery performance can be identified quickly and accurately, thereby improving the reliability of test results.

[0088] It needs to be explained that the greater the performance test impact assessment value of the new energy battery, the more serious the impact of external factors on the battery performance. As the impact of external factors increases, the performance quality assessment impact factor will decrease, indicating that the battery performance may be negatively affected. Therefore, the performance quality assessment impact factor obtained by matching will also be smaller.

[0089] Based on the basic performance test analysis index values ​​of new energy batteries, combined with the performance quality evaluation influencing factors of new energy batteries, a comprehensive analysis is performed to obtain a comprehensive performance evaluation value of the new energy battery. The comprehensive performance evaluation value of the new energy battery is used to comprehensively quantify the overall performance of the new energy battery.

[0090] It should be added that using the product of the basic performance test analysis index value of the new energy battery and the performance quality assessment influencing factor of the new energy battery as the comprehensive performance evaluation value of the new energy battery can reduce the impact of other factors on the comprehensive performance analysis of the new energy battery.

[0091] It should be added that the analysis of the influencing parameters of the new energy battery performance test can reflect the impact of other factors on the performance test of the new energy battery. If other factors have a greater impact on the performance test of the new energy battery, the subsequent testing of the new energy battery using the original default new energy battery testing process may cause inaccurate performance test results of the new energy battery. It is necessary to adjust the performance test of the new energy battery in combination with the influencing parameters of the new energy battery performance test.

[0092] The performance test results of the new energy battery include a qualified comprehensive performance evaluation and a failed comprehensive performance evaluation.

[0093] The comprehensive performance evaluation value of the new energy battery is compared with the set comprehensive performance evaluation threshold. If the comprehensive performance evaluation value of the new energy battery is higher than or equal to the set comprehensive performance evaluation threshold, the performance test result of the new energy battery is marked as qualified in the comprehensive performance evaluation; otherwise, the performance test result of the new energy battery is marked as unqualified in the comprehensive performance evaluation.

[0094] Specifically, the configuration of the new energy battery is adjusted according to the performance test results of the new energy battery. The specific process is: extract the performance test results of the new energy battery. If the performance test results of the new energy battery are qualified in the comprehensive performance evaluation, continue to configure the new energy battery with the current new energy battery overcharge protection threshold. If the performance test results of the new energy battery are unqualified in the comprehensive performance evaluation, the difference between the set comprehensive performance evaluation threshold and the comprehensive performance evaluation value of the new energy battery is recorded as the new energy battery configuration adjustment control value.

[0095] According to the new energy battery configuration adjustment control value matching, the new energy battery overcharge protection threshold is obtained, and the new energy battery configuration parameter adjustment is performed, and the performance test results of the new energy battery are displayed on the digital twin test information monitoring visualization screen.

[0096] It should be noted that the analysis of the performance test results of new energy batteries can reflect the performance of new energy batteries. If the performance of the new energy battery is unqualified, and the subsequent charging process of the new energy battery is maintained with the original default new energy battery overcharge protection threshold, it may cause the new energy battery to overcharge and then damage the new energy battery. Therefore, the new energy battery needs to be adjusted in combination with the new energy battery overcharge protection threshold.

[0097] It should be noted that the new energy battery configuration adjustment control value is matched with the new energy battery overcharge protection threshold corresponding to each new energy battery configuration adjustment control value interval stored in the battery test database, and the new energy battery overcharge protection threshold corresponding to the interval in which the new energy battery configuration adjustment control value is located is counted and recorded as the new energy battery overcharge protection threshold, and the new energy battery configuration parameters are adjusted according to the new energy battery overcharge protection threshold.

[0098] Specifically, the new energy battery test data is configured for transmission, and the specific process is: extract the basic performance test information of the new energy battery and the performance test results of the new energy battery. If the basic performance test information of the new energy battery is an execution warning, the new energy battery test process data is transmitted to the local database. If the performance test result of the new energy battery is qualified for the comprehensive performance evaluation, the new energy battery test process data is transmitted to the cloud database. If the performance test result of the new energy battery is unqualified for the comprehensive performance evaluation, the new energy battery test process data is transmitted to the local database.

[0099] It should be noted that transmitting qualified new energy battery test data to the cloud database is conducive to centralized data management and analysis, while storing unqualified new energy battery test data locally can quickly respond to potential security risks, thereby optimizing the use of storage resources and avoiding waste of cloud resources.

[0100] like Figure 2The second aspect of the present invention provides a new energy battery test data processing system based on digital twins, including: a production quality analysis module, used to collect the production process data of new energy batteries, analyze and obtain the configuration parameters of the test device of the new energy battery, and the central controller configures the parameters of the test device.

[0101] The basic performance analysis module is used to monitor the new energy battery test process in real time according to the configured test device, and analyze the basic performance test information of the new energy battery.

[0102] The comprehensive performance evaluation module is used to synchronously collect the influencing parameters of the new energy battery performance test based on the basic performance test information of the new energy battery, and analyze the performance test results of the new energy battery.

[0103] The transmission adjustment module is configured to adjust the configuration of the new energy battery according to the performance test results of the new energy battery and to transmit the test data of the new energy battery.

[0104] It should be noted that a new energy battery test data processing method and system based on digital twins also includes a battery test database, which is used to store a first parameter set, a second parameter set and a third parameter set obtained by analyzing historical data.

[0105] The first parameter set includes reference electrode thickness, reference electrode porosity, a production quality assessment factor corresponding to unit open circuit voltage, a production quality assessment factor corresponding to unit internal impedance, a reference initial capacitance, and a test frequency corresponding to each production quality assessment value interval.

[0106] The second parameter set includes the basic performance test analysis factor corresponding to the unit thermal runaway temperature, the basic performance test analysis factor corresponding to the unit self-discharge rate, the basic performance test analysis factor corresponding to the unit initial capacity retention rate, the reference current for each test of the new energy battery, the reference charge and discharge rate for each test of the new energy battery, the reference maximum battery surface temperature for each test of the new energy battery and the basic performance test analysis indicator threshold.

[0107] The third parameter set includes the performance test evaluation factor corresponding to the unit electromagnetic field strength, the performance test evaluation factor corresponding to the unit temperature gradient, the performance test evaluation factor corresponding to the unit input voltage fluctuation extreme value, the reference input power supply frequency, the performance quality assessment interference factor corresponding to each performance test impact evaluation value interval, the comprehensive performance evaluation threshold and the new energy battery overcharge protection threshold corresponding to each new energy battery configuration adjustment control value interval.

[0108] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0109] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well.

Claims

1. A new energy battery test data processing method based on digital twin, characterized in that: include: Collect the production process data of new energy batteries, analyze and obtain the configuration parameters of the test device of new energy batteries, and configure the parameters of the test device by the central controller; The configured test device monitors the new energy battery test process in real time and analyzes the basic performance test information of the new energy battery; Based on the basic performance test information of new energy batteries, the parameters affecting the performance test of new energy batteries are collected simultaneously, and the performance test results of new energy batteries are obtained through analysis; The new energy battery configuration is adjusted according to the performance test results of the new energy battery, and the new energy battery test data is transmitted and configured.

2. According to claim 1, a new energy battery test data processing method based on digital twins is characterized in that: The production process data of the new energy battery includes electrode thickness, electrode porosity, open circuit voltage, internal impedance and initial capacitance of the new energy battery; Based on the production process data of the new energy battery, a production quality assessment value of the new energy battery is obtained through processing, and the production quality assessment value of the new energy battery is used to comprehensively quantify the quality level in the production process of the new energy battery.

3. According to claim 2, a new energy battery test data processing method based on digital twins is characterized in that: The analysis obtains the configuration parameters of the test device for new energy batteries, and the specific process is as follows: The production quality assessment value of the new energy battery is matched with the test frequency corresponding to each production quality assessment value interval stored in the battery test database, and the test frequency corresponding to the interval in which the production quality assessment value of the new energy battery is located is counted and recorded as the test frequency of the new energy battery. The test device of the new energy battery is parameterized according to the test frequency of the new energy battery.

4. According to claim 1, a new energy battery test data processing method based on digital twins is characterized in that: The configured test device is used to monitor the new energy battery test process in real time, and the specific process is as follows: The new energy battery test process is monitored in real time according to the configured test device, and the new energy battery test process data is obtained by statistics, wherein the new energy battery test process data includes the thermal runaway temperature, self-discharge rate and initial capacity retention rate of the new energy battery, and also includes the average current of each test of the new energy battery, the charge and discharge rate and the maximum temperature of the battery surface; A comprehensive analysis is performed on the new energy battery test process data to obtain basic performance test analysis index values ​​for new energy batteries, which are used to comprehensively quantify basic performance and reliability of new energy batteries.

5. According to claim 4, a new energy battery test data processing method based on digital twins is characterized in that: The analysis obtains the basic performance test information of new energy batteries, and the specific process is as follows: The basic performance test information of the new energy battery includes execution warning and non-execution warning; Compare the basic performance test analysis index value of the new energy battery with the set basic performance test analysis index threshold value. If the basic performance test analysis index value of the new energy battery is higher than the set basic performance test analysis index threshold value, the basic performance test information of the new energy battery is marked as not to execute the warning. Otherwise, the basic performance test information of the new energy battery is marked as to execute the warning. Extract the basic performance test information of the new energy battery. If the basic performance test information of the new energy battery is an execution warning, the basic performance test information of the new energy battery will be displayed on the digital twin test information monitoring visualization screen, and the warning information will be sent to the mobile transmission terminal.

6. According to a new energy battery test data processing method based on digital twins according to claim 1, it is characterized by: The analysis obtains the performance test results of the new energy battery, and the specific process is as follows: The parameters affecting the new energy battery performance test include the electromagnetic field strength, temperature gradient, input voltage fluctuation extreme value and input power frequency outside the new energy battery test; If the basic performance test information of the new energy battery is not to perform the early warning, then based on the new energy battery performance test influencing parameters, the performance test impact assessment value of the new energy battery is processed to obtain the performance test impact assessment value of the new energy battery, and the performance test impact assessment value of the new energy battery is used to comprehensively quantify the degree of influence of different influencing factors on the performance test; Match the performance test impact assessment value of the new energy battery with the performance quality assessment interference factor corresponding to each performance test impact assessment value interval stored in the battery test database, and count the performance quality assessment interference factor corresponding to the interval where the performance test impact assessment value is located, and record it as the performance quality assessment impact factor of the new energy battery; According to the basic performance test analysis index value of the new energy battery, a comprehensive analysis is performed in combination with the performance quality evaluation influencing factors of the new energy battery to obtain a comprehensive performance evaluation value of the new energy battery, and the comprehensive performance evaluation value of the new energy battery is used to comprehensively quantify the overall performance of the new energy battery; The performance test results of the new energy battery include a comprehensive performance evaluation of qualified and a comprehensive performance evaluation of unqualified; The comprehensive performance evaluation value of the new energy battery is compared with the set comprehensive performance evaluation threshold. If the comprehensive performance evaluation value of the new energy battery is higher than or equal to the set comprehensive performance evaluation threshold, the performance test result of the new energy battery is marked as qualified in the comprehensive performance evaluation; otherwise, the performance test result of the new energy battery is marked as unqualified in the comprehensive performance evaluation.

7. A new energy battery test data processing method based on digital twin according to claim 6, characterized in that: The configuration of the new energy battery is adjusted according to the performance test results of the new energy battery. The specific process is as follows: Extract the performance test result of the new energy battery. If the performance test result of the new energy battery is qualified in the comprehensive performance evaluation, continue to configure the new energy battery with the current new energy battery overcharge protection threshold. If the performance test result of the new energy battery is unqualified in the comprehensive performance evaluation, the difference between the set comprehensive performance evaluation threshold and the comprehensive performance evaluation value of the new energy battery is recorded as the new energy battery configuration adjustment control value. According to the new energy battery configuration adjustment control value matching, the new energy battery overcharge protection threshold is obtained, and the new energy battery configuration parameter adjustment is performed, and the performance test results of the new energy battery are displayed on the digital twin test information monitoring visualization screen.

8. According to claim 1, a new energy battery test data processing method based on digital twins is characterized by: The specific process of transmitting and configuring the new energy battery test data is as follows: Extract the basic performance test information and performance test results of new energy batteries. If the basic performance test information of new energy batteries is an execution warning, the new energy battery test process data is transmitted to the local database. If the performance test result of the new energy battery is qualified in the comprehensive performance evaluation, the new energy battery test process data is transmitted to the cloud database. If the performance test result of the new energy battery is unqualified in the comprehensive performance evaluation, the new energy battery test process data is transmitted to the local database.

9. A new energy battery test data processing method based on digital twin according to claim 6, characterized in that: The performance test of the new energy battery affects the evaluation value, and the specific analysis conditions are: In the formula, τ represents the performance test impact evaluation value of the new energy battery, b1 represents the electromagnetic field strength outside the new energy battery test, ω1 represents the performance test evaluation factor corresponding to the set unit electromagnetic field strength, b2 represents the temperature gradient outside the new energy battery test, ω2 represents the performance test evaluation factor corresponding to the set unit temperature gradient, b4 represents the input voltage fluctuation extreme value outside the new energy battery test, ω4 represents the performance test evaluation factor corresponding to the set unit input voltage fluctuation extreme value, b5 represents the input power frequency outside the new energy battery test, Δb5 represents the set reference input power frequency, and e represents a natural constant.

10. A new energy battery test data processing system based on digital twins, comprising: The production quality analysis module is used to collect the production process data of new energy batteries, analyze and obtain the configuration parameters of the test device of new energy batteries, and the central controller configures the parameters of the test device; The basic performance analysis module is used to monitor the new energy battery test process in real time according to the configured test device, and analyze and obtain the basic performance test information of the new energy battery; Comprehensive performance evaluation module, which is used to collect the influencing parameters of new energy battery performance test based on the basic performance test information of new energy batteries, and analyze the performance test results of new energy batteries; The transmission adjustment module is configured to adjust the configuration of the new energy battery according to the performance test results of the new energy battery and to transmit the test data of the new energy battery.

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