Battery tab fracture detection method and device, and computer storage medium

Abstract

The invention relates to the technical field of batteries, and discloses a battery tab breakage detection method and device and a computer storage medium, and the method comprises the steps: monitoring battery data of a battery in a current production process in a battery production process; according to the battery data, judging whether the battery meets a tab fracture condition corresponding to the current production process or not; when it is judged that the battery meets the tab fracture condition corresponding to the current production process, it is determined that tab fracture abnormity exists in the battery. It can be seen that in the conventional battery production process, additional detection procedures do not need to be added, battery tab breakage detection is achieved by monitoring battery data in the production process, the detection accuracy and detection efficiency of battery tab breakage are improved, and improvement of battery production management accuracy and efficiency is facilitated.

Description

Technical Field

[0001] The present application relates to the field of battery technology, and in particular to a method and device for detecting battery tab fracture, and a computer storage medium. Background Art

[0002] As the energy density requirements of lithium-ion batteries continue to increase, reducing the thickness of positive or negative electrode foil has become a common practice in the industry. This trend makes the welding process of tab foil more demanding, and the risk of damage and breakage of tab foil inside the battery during module assembly and application also increases accordingly.

[0003] In the prior art, the common AC internal resistance method, DC internal resistance method, capacity method and charge and discharge curve abnormal point observation method can only identify obvious tab fractures, but it is difficult to judge the subtle tab fractures. If the abnormal tab fracture is not handled, it is easy to cause the battery performance, life and safety to be reduced.

[0004] Therefore, it is particularly important to propose a technical solution that can improve the detection accuracy of battery tab fracture to improve the accuracy and efficiency of battery production management. Summary of the invention

[0005] The present application provides a method and device for detecting battery tab fracture, and a computer storage medium, which can improve the detection accuracy and efficiency of battery tab fracture, and is conducive to improving the accuracy and efficiency of battery production management.

[0006] In order to solve the above technical problems, the first aspect of the present application discloses a method for detecting battery tab fracture, the method comprising:

[0007] During the battery production process, monitor the battery data of the battery in the current production process;

[0008] According to the battery data, determining whether the battery meets the tab fracture condition corresponding to the current production process;

[0009] When it is determined that the battery meets the tab fracture condition corresponding to the current production process, it is determined that the battery has a tab fracture abnormality.

[0010] As an optional implementation, in the first aspect of the present application, judging whether the battery meets the tab fracture condition corresponding to the current production process according to the battery data includes:

[0011] Determine the monitoring battery data required to be monitored in the current production process from the battery data, and determine the reference battery data corresponding to the current production process;

[0012] According to the reference battery data, determining whether the monitored battery data meets the data abnormality condition corresponding to the current production process;

[0013] When it is determined that the monitored battery data meets the data abnormality condition corresponding to the current production process, determining that the battery meets the tab fracture condition corresponding to the current production process;

[0014] When it is determined that the monitored battery data does not satisfy the data abnormality condition corresponding to the current production process, it is determined that the battery does not satisfy the tab fracture condition corresponding to the current production process.

[0015] As an optional embodiment, in the first aspect of the present application, if the current production process is a formation process, then the current production process includes multiple formation stages, and the monitoring battery data includes a formation voltage data sequence corresponding to each of the formation stages, the formation voltage data sequence includes multiple formation voltage data, and the reference battery data includes formation reference voltage data corresponding to each of the formation stages, and each of the formation reference voltage data is the formation voltage data with the highest value in the formation voltage data sequence corresponding to the formation stage.

[0016] As an optional implementation, in the first aspect of the present application, if the current production process is the formation process, judging whether the monitored battery data satisfies the data abnormality condition corresponding to the current production process according to the reference battery data includes:

[0017] Comparing the formation voltage data sequence corresponding to each formation stage with the formation reference voltage data corresponding to the formation stage to obtain a formation voltage comparison result;

[0018] When the formation voltage comparison result is used to indicate that abnormal formation voltage data exists in any of the formation voltage data sequences, formation alarm information of the battery about the abnormal formation voltage data is generated; the abnormal formation voltage data includes at least one of the first formation voltage data, the second formation voltage data subsequence, and the third formation voltage data subsequence;

[0019] When the formation alarm information exists, determining that the monitored battery data meets the data abnormality condition corresponding to the current production process;

[0020] Wherein, the voltage drop value of the first formation voltage data compared to the formation reference voltage data is greater than or equal to the first preset formation voltage value; the second formation voltage data subsequence includes at least a first preset formation number of continuous second formation voltage data, wherein the voltage value of each second formation voltage data is reduced compared to the formation reference voltage data, and the cumulative voltage drop value corresponding to all the second formation voltage data compared to the formation reference voltage data is greater than or equal to the second preset formation voltage value; the third formation voltage data subsequence includes at least a second preset formation number of continuous third formation voltage data, wherein the voltage drop value of each third formation voltage data compared to the formation reference voltage data is greater than or equal to the third preset formation voltage value.

[0021] As an optional implementation, in the first aspect of the present application, if the current production process is a capacity division process, the current production process includes multiple capacity division stages and the monitored battery data includes a capacity division voltage data sequence corresponding to each of the capacity division stages and / or a capacity division current data sequence corresponding to each of the capacity division stages, the capacity division voltage data sequence includes multiple capacity division voltage data, and the capacity division current data sequence includes multiple capacity division current data;

[0022] Wherein, for each of the capacity division stages, when the capacity division stage belongs to the charging stage, the reference battery data includes first capacity division reference voltage data corresponding to the capacity division stage; the first capacity division reference voltage data is the capacity division voltage data with the highest value in the capacity division voltage data sequence corresponding to the capacity division stage;

[0023] When the capacity division stage belongs to the constant voltage stage, the reference battery data includes first capacity division reference current data corresponding to the capacity division stage and second capacity division reference voltage data corresponding to the capacity division stage; the first capacity division reference current data is the preset constant current data corresponding to the capacity division stage; the second capacity division reference voltage data is the preset constant voltage data corresponding to the capacity division stage;

[0024] When the capacity division stage belongs to the discharge stage, the reference battery data includes second capacity division reference current data corresponding to the capacity division stage and third capacity division reference voltage data corresponding to the capacity division stage; the second capacity division reference current data is the preset constant current data corresponding to the capacity division stage; the third capacity division reference voltage data is the lowest value of the capacity division voltage data sequence corresponding to the capacity division stage.

[0025] As an optional implementation, in the first aspect of the present application, if the current production process is the capacity division process, judging whether the monitored battery data satisfies the data abnormality condition corresponding to the current production process according to the reference battery data includes:

[0026] Comparing the capacitance division voltage data sequence corresponding to each of the capacitance division stages with the capacitance division reference voltage data corresponding to the capacitance division stage to obtain a capacitance division voltage comparison result;

[0027] When the reference battery data corresponding to any of the capacity division stages includes capacity division reference current data, comparing the capacity division current data sequence corresponding to the capacity division stage with the capacity division reference current data corresponding to the capacity division stage to obtain a capacity division current comparison result;

[0028] When the capacity division voltage comparison result is used to indicate that abnormal capacity division voltage data exists in any of the capacity division voltage data sequences and / or the capacity division current comparison result is used to indicate that abnormal capacity division current data exists in any of the capacity division current data sequences, generating capacity division alarm information of the battery regarding abnormal capacity division data; the abnormal capacity division data includes the abnormal capacity division voltage data and / or the abnormal capacity division current data;

[0029] When the capacity division alarm information exists, it is determined that the monitored battery data meets the data abnormality condition corresponding to the current production process.

[0030] As an optional implementation, in the first aspect of the present application, after determining that the monitored battery data meets the data abnormality condition corresponding to the current production process, the method further includes:

[0031] interrupting the current production process of the battery;

[0032] Performing a re-test operation on the battery to obtain re-test data;

[0033] Determine whether the re-test data meets the data abnormality condition corresponding to the current production process;

[0034] When it is determined that the re-test data meets the data abnormality condition corresponding to the current production process, the operation of determining that the battery meets the tab fracture condition corresponding to the current production process is triggered.

[0035] As an optional implementation, in the first aspect of the present application, after determining that the battery has a tab fracture abnormality, the method further includes:

[0036] Recording abnormal information of the battery regarding the abnormality of the tab fracture;

[0037] Performing a protection operation corresponding to the abnormal information on the battery, and marking the battery as a tab-broken battery based on the abnormal information;

[0038] When entering the battery screening process, the battery with broken tabs is excluded from all batteries to be graded and screened.

[0039] The second aspect of the present application discloses a battery tab fracture detection device, the device comprising:

[0040] A monitoring module is used to monitor the battery data of the battery in the current production process during the battery production process;

[0041] A judgment module, used for judging whether the battery meets the tab fracture condition corresponding to the current production process according to the battery data;

[0042] The determination module is used to determine that the battery has a tab fracture abnormality when it is determined that the battery meets the tab fracture condition corresponding to the current production process.

[0043] As an optional implementation, in the second aspect of the present application, the specific manner in which the judgment module judges whether the battery meets the tab fracture condition corresponding to the current production process according to the battery data includes:

[0044] Determine the monitoring battery data required to be monitored in the current production process from the battery data, and determine the reference battery data corresponding to the current production process;

[0045] According to the reference battery data, determining whether the monitored battery data meets the data abnormality condition corresponding to the current production process;

[0046] When it is determined that the monitored battery data meets the data abnormality condition corresponding to the current production process, determining that the battery meets the tab fracture condition corresponding to the current production process;

[0047] When it is determined that the monitored battery data does not satisfy the data abnormality condition corresponding to the current production process, it is determined that the battery does not satisfy the tab fracture condition corresponding to the current production process.

[0048] As an optional embodiment, in the second aspect of the present application, if the current production process is a formation process, then the current production process includes multiple formation stages, and the monitoring battery data includes a formation voltage data sequence corresponding to each of the formation stages, the formation voltage data sequence includes multiple formation voltage data, and the reference battery data includes formation reference voltage data corresponding to each of the formation stages, and each of the formation reference voltage data is the formation voltage data with the highest value in the formation voltage data sequence corresponding to the formation stage.

[0049] As an optional implementation, in the second aspect of the present application, if the current production process is the formation process, the judgment module determines whether the monitoring battery data satisfies the data abnormality condition corresponding to the current production process according to the reference battery data, including:

[0050] Comparing the formation voltage data sequence corresponding to each formation stage with the formation reference voltage data corresponding to the formation stage to obtain a formation voltage comparison result;

[0051] When the formation voltage comparison result is used to indicate that abnormal formation voltage data exists in any of the formation voltage data sequences, formation alarm information of the battery about the abnormal formation voltage data is generated; the abnormal formation voltage data includes at least one of the first formation voltage data, the second formation voltage data subsequence, and the third formation voltage data subsequence;

[0052] When the formation alarm information exists, determining that the monitored battery data meets the data abnormality condition corresponding to the current production process;

[0053] Wherein, the voltage drop value of the first formation voltage data compared to the formation reference voltage data is greater than or equal to the first preset formation voltage value; the second formation voltage data subsequence includes at least a first preset formation number of continuous second formation voltage data, wherein the voltage value of each second formation voltage data is reduced compared to the formation reference voltage data, and the cumulative voltage drop value corresponding to all the second formation voltage data compared to the formation reference voltage data is greater than or equal to the second preset formation voltage value; the third formation voltage data subsequence includes at least a second preset formation number of continuous third formation voltage data, wherein the voltage drop value of each third formation voltage data compared to the formation reference voltage data is greater than or equal to the third preset formation voltage value.

[0054] As an optional implementation, in the second aspect of the present application, if the current production process is a capacity division process, the current production process includes multiple capacity division stages and the monitored battery data includes a capacity division voltage data sequence corresponding to each of the capacity division stages and / or a capacity division current data sequence corresponding to each of the capacity division stages, the capacity division voltage data sequence includes multiple capacity division voltage data, and the capacity division current data sequence includes multiple capacity division current data;

[0055] Wherein, for each of the capacity division stages, when the capacity division stage belongs to the charging stage, the reference battery data includes first capacity division reference voltage data corresponding to the capacity division stage; the first capacity division reference voltage data is the capacity division voltage data with the highest value in the capacity division voltage data sequence corresponding to the capacity division stage;

[0056] When the capacity division stage belongs to the constant voltage stage, the reference battery data includes first capacity division reference current data corresponding to the capacity division stage and second capacity division reference voltage data corresponding to the capacity division stage; the first capacity division reference current data is the preset constant current data corresponding to the capacity division stage; the second capacity division reference voltage data is the preset constant voltage data corresponding to the capacity division stage;

[0057] When the capacity division stage belongs to the discharge stage, the reference battery data includes second capacity division reference current data corresponding to the capacity division stage and third capacity division reference voltage data corresponding to the capacity division stage; the second capacity division reference current data is the preset constant current data corresponding to the capacity division stage; the third capacity division reference voltage data is the lowest value of the capacity division voltage data sequence corresponding to the capacity division stage.

[0058] As an optional implementation, in the second aspect of the present application, if the current production process is the capacity division process, the specific manner in which the judgment module judges whether the monitored battery data satisfies the data abnormality condition corresponding to the current production process according to the reference battery data includes:

[0059] Comparing the capacitance division voltage data sequence corresponding to each of the capacitance division stages with the capacitance division reference voltage data corresponding to the capacitance division stage to obtain a capacitance division voltage comparison result;

[0060] When the reference battery data corresponding to any of the capacity division stages includes capacity division reference current data, comparing the capacity division current data sequence corresponding to the capacity division stage with the capacity division reference current data corresponding to the capacity division stage to obtain a capacity division current comparison result;

[0061] When the capacity division voltage comparison result is used to indicate that abnormal capacity division voltage data exists in any of the capacity division voltage data sequences and / or the capacity division current comparison result is used to indicate that abnormal capacity division current data exists in any of the capacity division current data sequences, generating capacity division alarm information of the battery regarding abnormal capacity division data; the abnormal capacity division data includes the abnormal capacity division voltage data and / or the abnormal capacity division current data;

[0062] When the capacity division alarm information exists, it is determined that the monitored battery data meets the data abnormality condition corresponding to the current production process.

[0063] As an optional implementation, in the second aspect of the present application, the device further includes:

[0064] An interruption control module, configured to interrupt the current production process of the battery after the judgment module determines that the monitored battery data meets the data abnormality condition corresponding to the current production process;

[0065] A re-test module, used to perform a re-test operation on the battery to obtain re-test data;

[0066] The judgment module is also used to judge whether the re-test data meets the data abnormality condition corresponding to the current production process; when it is judged that the re-test data meets the data abnormality condition corresponding to the current production process, the determination module is triggered to execute the operation of determining whether the battery meets the tab fracture condition corresponding to the current production process.

[0067] As an optional implementation, in the second aspect of the present application, the device further includes:

[0068] A recording module, configured to record abnormal information of the battery regarding the abnormal tab fracture after determining that the battery has the abnormal tab fracture;

[0069] A protection module, used for performing a protection operation corresponding to the abnormal information on the battery;

[0070] A marking module, used for marking the battery as a tab-broken battery based on the abnormal information;

[0071] The exclusion module is used to exclude the battery with broken tabs from all batteries to be sorted and screened when entering the battery screening process.

[0072] The third aspect of the present application discloses another battery tab fracture detection device, the device comprising:

[0073] A memory storing executable program code;

[0074] a processor coupled to the memory;

[0075] The processor calls the executable program code stored in the memory to execute part or all of the steps of the battery tab fracture detection method disclosed in the first aspect of the present application.

[0076] The fourth aspect of the present application discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute part or all of the steps of the battery tab fracture detection method disclosed in the first aspect of the present application.

[0077] Compared with the prior art, this application has the following beneficial effects:

[0078] In this application, during the battery production process, the battery data of the battery in the current production process is monitored; based on the battery data, it is determined whether the battery meets the tab fracture conditions corresponding to the current production process; when it is determined that the battery meets the tab fracture conditions corresponding to the current production process, it is determined that the battery has tab fracture anomalies. It can be seen that the implementation of this application can determine whether the battery meets the corresponding tab fracture conditions according to the monitored battery data of the battery in the current production process during the battery production process. If the judgment result is yes, it can be determined that the battery has tab fracture anomalies. It can be realized by monitoring the battery data in the production process without adding additional detection processes in the conventional battery production process. The detection accuracy and detection efficiency of battery tab fracture can be improved on the basis of improving the collection efficiency and analysis efficiency of battery data, so as to facilitate the processing of batteries with tab fracture anomalies in subsequent production processes, thereby facilitating the improvement of the quality and safety of the battery products produced, and thereby facilitating the improvement of the accuracy and efficiency of battery production management. BRIEF DESCRIPTION OF THE DRAWINGS

[0079] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0080] Figure 1 It is a schematic diagram of the process of a battery tab fracture detection method disclosed in an embodiment of the present application;

[0081] Figure 2 It is a schematic diagram of the process of another battery tab fracture detection method disclosed in an embodiment of the present application;

[0082] Figure 3 It is a structural schematic diagram of a battery tab fracture detection device disclosed in an embodiment of the present application;

[0083] Figure 4 It is a structural schematic diagram of another battery tab fracture detection device disclosed in an embodiment of the present application;

[0084] Figure 5 It is a structural schematic diagram of another battery tab fracture detection device disclosed in an embodiment of the present application. DETAILED DESCRIPTION

[0085] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0086] The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, device, product or end that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or ends.

[0087] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0088] The present application discloses a method and device for detecting the fracture of a battery tab, and a computer storage medium, which can determine whether the battery meets the corresponding tab fracture condition according to the battery data of the battery in the current production process monitored during the battery production process. If the judgment result is yes, it can be determined that the battery has tab fracture abnormality, and can detect the fracture of the battery tab by monitoring the battery data in the production process without adding additional detection processes in the conventional battery production process. It can improve the detection accuracy and efficiency of the fracture of the battery tab on the basis of improving the collection efficiency and analysis efficiency of the battery data, so as to facilitate the processing of the battery with tab fracture abnormality in the subsequent production process, and further facilitate the quality and use safety of the battery products produced, and further facilitate the accuracy and efficiency of battery production management. The following are detailed descriptions.

[0089] Embodiment 1

[0090] See also Figure 1 , Figure 1 Schematic diagram of the process of a battery tab fracture detection method disclosed in the embodiment of the present application. Figure 1The battery tab fracture detection method described can be applied to a battery tab fracture detection device, which may include a detection terminal, a detection device, a detection system and a server, which is not limited in the embodiments of the present application; further, the device can be applied to a battery production line, and further, the device can be applied to an MES (Manufacturing Execution System) system, wherein the MES system can be used to manage the battery production process, which is not limited in the embodiments of the present application. Figure 1 As shown, the battery tab fracture detection method may include the following operations:

[0091] 101. During the battery production process, monitor the battery data of the battery in the current production process.

[0092] In the embodiment of the present application, optionally, the battery can be a lithium-ion battery, or it can be other types of batteries with pole ears, which is not limited in the embodiment of the present application. Wherein, the battery production process includes multiple production processes, and the current production process is one of the production processes; further optionally, each production process can include multiple production stages, which is not limited in the embodiment of the present application; illustratively, the current production process can be a formation process or a capacity separation process, or it can be other battery production processes, which is not limited in the embodiment of the present application. Wherein, the battery data can include data of at least one battery parameter corresponding to multiple moments of the current production process, that is, the battery data can be a data sequence including at least one battery parameter, wherein the data series can be a sequence sorted according to the acquisition time, which is not limited in the embodiment of the present application; wherein, optionally, the battery data can include voltage data and / or current data, which is not limited in the embodiment of the present application; further optionally, the battery data can also include battery internal resistance data and / or battery capacity data, which is not limited in the embodiment of the present application.

[0093] 102. Based on the battery data, determine whether the battery meets the tab fracture conditions corresponding to the current production process.

[0094] In the embodiment of the present application, when step 102 determines that the battery meets the tab fracture condition corresponding to the current production process, that is, when the determination result of step 102 is yes, the operation of step 103 is performed. Optionally, when step 102 determines that the battery does not meet the tab fracture condition corresponding to the current production process, the detection process can be terminated, which is not limited in the embodiment of the present application.

[0095] 103. Determine if the battery has tab breakage abnormality.

[0096] In the embodiment of the present application, the battery tab fracture anomaly is used to indicate that the battery tab is fractured.

[0097] It can be seen that the implementation of the method described in the embodiment of the present application can determine whether the battery meets the corresponding tab fracture conditions according to the monitored battery data of the battery in the current production process during the battery production process. If the judgment result is yes, it can be determined that the battery has a tab fracture abnormality. There is no need to add additional detection steps in the conventional battery production process. The battery tab fracture detection can be realized by monitoring the battery data in the production process. On the basis of improving the collection efficiency and analysis efficiency of the battery data, the detection accuracy and efficiency of the battery tab fracture can be improved, which is beneficial to the processing of batteries with tab fracture abnormalities in subsequent production processes, and further helps to improve the quality and safety of the battery products produced, and further helps to improve the accuracy and efficiency of battery production management.

[0098] In an optional embodiment, after determining that the battery has a tab fracture abnormality, the method may further include the following operations:

[0099] Record abnormal information about battery tab fracture;

[0100] Performing protection operations corresponding to the abnormal information on the battery, and marking the battery as a tab-broken battery based on the abnormal information;

[0101] When entering the battery screening process, batteries with broken tabs are excluded from all batteries to be graded and screened.

[0102] Among them, optionally, the abnormal information of the battery regarding the abnormality of the tab fracture may include the alarm information of the battery regarding at least one production process; further optionally, the alarm information may include an alarm identifier and / or an alarm type, which is not limited in the embodiments of the present application; optionally, the alarm information may also include a combination of one or more of the alarm time, alarm frequency, alarm stage and alarm process, which is not limited in the embodiments of the present application; wherein, the alarm process is the production process that issues the alarm, and the alarm stage is the production stage that issues the alarm.

[0103] It can be seen that this optional embodiment can, after determining that the battery has a tab fracture abnormality, record the battery's abnormal information about the tab fracture abnormality, perform a protection operation corresponding to the abnormal information on the battery, and mark the battery as a tab fracture battery, and then exclude the tab fracture battery when entering the battery screening process, which can improve the marking efficiency and marking accuracy of tab fracture batteries, thereby helping to improve the processing accuracy of tab fracture batteries, and further helping to improve the quality and safety of the battery products produced, and further helping to improve the accuracy and efficiency of battery production management.

[0104] Embodiment 2

[0105] See also Figure 2 , Figure 2Schematic diagram of the process of a battery tab fracture detection method disclosed in the embodiment of the present application. Figure 2 The battery tab fracture detection method described can be applied to a battery tab fracture detection device, which may include a detection terminal, a detection device, a detection system and a server, which is not limited in the embodiments of the present application; further, the device can be applied to a battery production line, and further, the device can be applied to an MES (Manufacturing Execution System) system, wherein the MES system can be used to manage the battery production process, which is not limited in the embodiments of the present application. Figure 2 As shown, the battery tab fracture detection method may include the following operations:

[0106] 201. During the battery production process, monitor the battery data of the battery in the current production process.

[0107] 202. Determine the monitoring battery data required to be monitored in the current production process from the battery data.

[0108] 203. Determine the reference battery data corresponding to the current production process.

[0109] In the embodiment of the present application, the reference battery data is used as a data analysis reference for the above-mentioned monitoring battery data.

[0110] It should be noted that there is no order relationship between step 202 and step 203, that is, step 202 can occur before or after step 203 or simultaneously with step 203, and the embodiment of the present application is not limited thereto.

[0111] 204. Based on the reference battery data, determine whether the monitored battery data meets the data abnormality condition corresponding to the current production process.

[0112] In the embodiment of the present application, when step 204 determines that the monitoring battery data meets the data abnormality condition corresponding to the current production process, that is, when the judgment result of step 204 is yes, the operation of step 205 is performed; when step 204 determines that the monitoring battery data does not meet the data abnormality condition corresponding to the current production process, that is, when the judgment result of step 204 is no, the operation of step 207 is performed.

[0113] 205. Determine whether the battery meets the tab fracture conditions corresponding to the current production process.

[0114] In the embodiment of the present application, when step 205 determines that the battery meets the tab fracture condition corresponding to the current production process, the operation of step 206 is performed.

[0115] 206. Determine if the battery has tab breakage abnormality.

[0116] 207. Determine that the battery does not meet the tab fracture conditions corresponding to the current production process.

[0117] In the embodiment of the present application, optionally, when step 207 determines that the battery does not meet the tab fracture condition corresponding to the current production process, the detection process can be terminated, which is not limited in the embodiment of the present application.

[0118] In the embodiment of the present application, for other detailed descriptions of step 201 and step 206, please refer to the detailed description of step 101 and step 103 in the first embodiment, and the embodiment of the present application will not be repeated.

[0119] It can be seen that the implementation of the method described in the embodiment of the present application can determine whether the battery meets the corresponding tab fracture conditions according to the monitored battery data of the battery in the current production process during the battery production process. If the judgment result is yes, it can be determined that the battery has a tab fracture abnormality. There is no need to add additional detection steps in the conventional battery production process. The battery tab fracture detection can be realized by monitoring the battery data in the production process. On the basis of improving the collection efficiency and analysis efficiency of the battery data, the detection accuracy and efficiency of the battery tab fracture can be improved, which is beneficial to the processing of batteries with tab fracture abnormalities in subsequent production processes, and further helps to improve the quality and safety of the battery products produced, and further helps to improve the accuracy and efficiency of battery production management. In addition, it is also possible to first determine the battery data that needs to be monitored in the current production process from the battery data and determine the corresponding benchmark battery data, so as to judge whether the monitored battery data meets the corresponding data abnormality conditions based on the benchmark battery data. If the judgment result is yes, it is determined that the battery meets the tab fracture conditions, otherwise, it is determined that the battery does not meet the tab fracture conditions. This can improve the accuracy of determining the battery data that needs to be analyzed for different production processes, which is beneficial to improving the accuracy of judging whether the battery meets the data abnormality conditions, and further helps to improve the accuracy of judging whether the battery meets the tab fracture conditions, and further helps to improve the accuracy of detecting battery tab fractures.

[0120] In an optional embodiment, if the current production process is a formation process, the current production process includes multiple formation stages, and the monitoring battery data includes a formation voltage data sequence corresponding to each formation stage, the formation voltage data sequence includes multiple formation voltage data, and the reference battery data includes formation reference voltage data corresponding to each formation stage, and each formation reference voltage data is the formation voltage data with the highest value in the formation voltage data sequence corresponding to the formation stage.

[0121] Wherein, optionally, each formation stage can be a charging stage; further optionally, each formation stage can be a first formation charging stage or a second formation charging stage, which is not limited in the embodiments of the present application; further optionally, both the first formation charging stage and the second formation charging stage can be constant voltage and constant current charging stages, which are not limited in the embodiments of the present application; wherein, exemplarily, the first formation charging stage can be specifically 0.03C constant voltage and constant current charging for 2 hours (h), and the second formation charging stage can be 0.1C constant voltage and constant current charging for 3h, which is not limited in the embodiments of the present application.

[0122] It can be seen that this optional embodiment can, when the current production process is the formation process, the battery data to be monitored is the voltage data, and the voltage data with the highest value in each formation stage can be set as the reference voltage data, so as to more specifically analyze the voltage data in the formation process, thereby improving the accuracy of judging whether the battery meets the data abnormality conditions.

[0123] In this optional embodiment, optionally, if the current production process is a formation process, judging whether the monitored battery data meets the data abnormality condition corresponding to the current production process according to the reference battery data may include the following operations:

[0124] Comparing the formation voltage data sequence corresponding to each formation stage with the formation reference voltage data corresponding to the formation stage to obtain a formation voltage comparison result;

[0125] When the formation voltage comparison result is used to indicate that abnormal formation voltage data exists in any formation voltage data sequence, formation alarm information of the battery regarding the abnormal formation voltage data is generated;

[0126] When there is formation alarm information, it is determined that the monitored battery data meets the data abnormality conditions corresponding to the current production process.

[0127] Optionally, the abnormal formation voltage data includes at least one of a first formation voltage data, a second formation voltage data subsequence and a third formation voltage data subsequence.

[0128] Among them, further optionally, the voltage drop value of the first formation voltage data compared to the formation reference voltage data is greater than or equal to the first preset formation voltage value; the second formation voltage data subsequence includes at least a first preset formation number of continuous second formation voltage data, wherein the voltage value of each second formation voltage data is reduced compared to the formation reference voltage data, and the cumulative voltage drop value corresponding to all second formation voltage data compared to the formation reference voltage data is greater than or equal to the second preset formation voltage value; the third formation voltage data subsequence includes at least a second preset formation number of continuous third formation voltage data, wherein the voltage drop value of each third formation voltage data compared to the formation reference voltage data is greater than or equal to the third preset formation voltage value.

[0129] Among them, by way of example, the first preset formation voltage value can be 5mV, the second preset formation voltage value can be 3mV, the third preset formation voltage value can be 5mV, or other values, which are not limited in the embodiments of the present application; by way of example, the first preset formation quantity can be 3, the second preset formation quantity can be 3, or other values, which are not limited in the embodiments of the present application.

[0130] Among them, optionally, the formation alarm information may include a formation alarm identifier corresponding to the abnormal formation voltage data, and may also include alarm detailed information corresponding to the formation alarm identifier, which is not limited in the embodiment of the present application; further, the formation alarm identifier can be used to indicate the formation alarm type corresponding to the abnormal formation voltage data, which is not limited in the embodiment of the present application; further optionally, the formation alarm identifier may include a formation alarm name and / or a formation alarm code, which is not limited in the embodiment of the present application; further optionally, the formation alarm type corresponding to the first formation voltage data may be a charging voltage instantaneous drop type, the formation alarm type corresponding to the second formation voltage data subsequence may be a charging voltage cumulative drop type, and the formation alarm type corresponding to the third formation voltage data subsequence may be a charging voltage continuous drop type, which is not limited in the embodiment of the present application; wherein the alarm detailed information may include the alarm time and / or the alarm frequency, which is not limited in the embodiment of the present application.

[0131] Among them, optionally, the formation voltage data of the battery in the formation process can be monitored based on the formation equipment, which is not limited in the embodiments of the present application; further optionally, the above-mentioned operation of judging whether the monitored battery data meets the data abnormality conditions corresponding to the current production process based on the benchmark battery data can be performed based on the formation equipment, which is not limited in the embodiments of the present application.

[0132] Among them, illustratively, in the formation process, the specific method of judging whether the formation voltage data meets the data abnormality condition corresponding to the formation process and the corresponding alarm type and alarm code can be referred to Table 1, which includes the data abnormality determination method corresponding to the formation process, and the embodiment of the present application is not limited; wherein, Table 1 can be shown as follows:

[0133]

[0134] Among them, the first formation voltage data can correspond to the alarm code C4 in Table 1 (that is, the charging voltage instantaneous drop type), the second formation voltage data subsequence can correspond to the alarm code C2 in Table 1 (that is, the charging voltage cumulative drop type), and the third formation voltage data subsequence can correspond to the alarm code C3 in Table 1 (that is, the charging voltage continuous drop type).

[0135] It can be seen that this optional embodiment can also compare the formation voltage data sequence corresponding to each formation stage with the corresponding formation reference voltage data. When the formation voltage comparison result indicates the presence of abnormal formation voltage data, a formation alarm information about the abnormal formation voltage data is generated for the battery. When the formation alarm information exists, it is determined that the monitored battery data meets the data abnormality condition corresponding to the current production process, which can improve the analysis accuracy of the voltage data of the charging process at different stages in the formation process, thereby improving the accuracy of the determination of abnormal data at different stages in the formation process, and then improving the accuracy of the determination of whether the battery data meets the data abnormality condition, which is conducive to improving the accuracy of the determination of the presence of tab breakage in the battery; and, when different abnormal voltage data appear, corresponding alarm information can be generated, thereby improving the alarm efficiency and alarm accuracy of battery data abnormality, thereby improving the alarm efficiency and alarm accuracy of battery abnormality.

[0136] In another optional embodiment, if the current production process is a capacity division process, the current production process includes multiple capacity division stages and the monitored battery data includes a capacity division voltage data sequence corresponding to each capacity division stage and / or a capacity division current data sequence corresponding to each capacity division stage, the capacity division voltage data sequence includes multiple capacity division voltage data, and the capacity division current data sequence includes multiple capacity division current data;

[0137] Wherein, for each capacity division stage, when the capacity division stage belongs to the charging stage, the reference battery data includes the first capacity division reference voltage data corresponding to the capacity division stage; the first capacity division reference voltage data is the capacity division voltage data with the highest value in the capacity division voltage data sequence corresponding to the capacity division stage;

[0138] When the capacity division stage belongs to the constant voltage stage, the reference battery data includes first capacity division reference current data corresponding to the capacity division stage and second capacity division reference voltage data corresponding to the capacity division stage; the first capacity division reference current data is the preset constant current data corresponding to the capacity division stage; the second capacity division reference voltage data is the preset constant voltage data corresponding to the capacity division stage;

[0139] When the capacity division stage belongs to the discharge stage, the reference battery data includes the second capacity division reference current data corresponding to the capacity division stage and the third capacity division reference voltage data corresponding to the capacity division stage; the second capacity division reference current data is the preset constant current data corresponding to the capacity division stage; the third capacity division reference voltage data is the capacity division voltage data with the lowest value in the capacity division voltage data sequence corresponding to the capacity division stage.

[0140] Wherein, optionally, each capacity division stage can be a charging stage or a discharging stage; further optionally, each capacity division stage can be one of a first capacity division charging stage, a second capacity division discharging stage and a third capacity division charging stage; further optionally, the first capacity division charging stage can be a constant voltage and constant current charging stage, the second capacity division discharging stage can be a constant current discharging stage, and the third capacity division charging stage can be a constant current charging stage, which is not limited in the embodiments of the present application; wherein, exemplarily, the first capacity division charging stage can be specifically 3.65V constant voltage 0.25C constant current charging, the second capacity division discharging stage can be specifically 0.25C constant current discharging, and the third capacity division charging stage can be specifically 0.25C constant current charging, which is not limited in the embodiments of the present application.

[0141] Further, exemplarily, when the first divided-capacity charging stage is a constant-voltage and constant-current charging stage, the second divided-capacity discharging stage is a constant-current discharging stage, and the third divided-capacity charging stage is a constant-current charging stage, the first divided-capacity charging stage belongs to both the charging stage and the constant-voltage stage, then the reference battery data of the first divided-capacity charging stage may include first divided-capacity reference voltage data, first divided-capacity reference current data, and second divided-capacity reference voltage data, the reference battery data of the second divided-capacity discharging stage may include third divided-capacity reference voltage data, and the reference battery data of the third divided-capacity charging stage may include first divided-capacity reference voltage data, which is not limited in the embodiments of the present application.

[0142] It can be seen that this optional embodiment can, when the current production process is a capacity division process, the battery data to be monitored may include current data and / or voltage data, and different reference battery data can be set according to the charging / discharging characteristics of different types of capacity division stages, and the voltage data and current data in the capacity division process can be analyzed more specifically, thereby improving the accuracy of the judgment on whether the battery meets the data abnormality conditions.

[0143] In this optional embodiment, if the current production process is a capacity separation process, judging whether the monitored battery data meets the data abnormality condition corresponding to the current production process according to the reference battery data may include the following operations:

[0144] Comparing the capacitance division voltage data sequence corresponding to each capacitance division stage with the capacitance division reference voltage data corresponding to the capacitance division stage to obtain the capacitance division voltage comparison result;

[0145] When the reference battery data corresponding to any capacity division stage includes capacity division reference current data, the capacity division current data sequence corresponding to the capacity division stage is compared with the capacity division reference current data corresponding to the capacity division stage to obtain the capacity division current comparison result;

[0146] When the capacity division voltage comparison result is used to indicate that there is abnormal capacity division voltage data in any capacity division voltage data sequence and / or the capacity division current comparison result is used to indicate that there is abnormal capacity division current data in any capacity division current data sequence, generating capacity division alarm information of the battery regarding abnormal capacity division data; the abnormal capacity division data includes abnormal capacity division voltage data and / or abnormal capacity division current data;

[0147] When there is a capacity division alarm message, it is determined that the monitored battery data meets the data abnormality condition corresponding to the current production process.

[0148] Among them, optionally, the capacity division alarm information may include a capacity division alarm identifier corresponding to the abnormal capacity division data, and may also include alarm detailed information corresponding to the capacity division alarm identifier, which is not limited in the embodiments of the present application; further, the capacity division alarm identifier can be used to indicate the capacity division alarm type corresponding to the abnormal capacity division data; further optionally, the capacity division alarm identifier may include a capacity division alarm name and / or a capacity division alarm code, which is not limited in the embodiments of the present application; further optionally, each capacity division alarm type may be one of a charging voltage continuous drop type, a charging voltage cumulative drop type, a charging voltage instantaneous drop type, a charging current instantaneous rise type, a constant voltage fluctuation type, a constant voltage deviation type, a discharge current instantaneous drop type, a discharge voltage continuous rise type, and a discharge voltage instantaneous rise type, which is not limited in the embodiments of the present application.

[0149] Among them, optionally, the capacity division voltage data and / or capacity division current data of the battery in the capacity division process can be monitored based on the capacity division device; further optionally, the above-mentioned operation of judging whether the monitored battery data meets the data abnormality condition corresponding to the current production process based on the reference battery data can be performed based on the capacity division device, and the embodiments of the present application are not limited thereto.

[0150] It can be seen that this optional embodiment can also compare the capacity division voltage data sequence corresponding to each capacity division stage with the corresponding capacity division reference voltage data, and compare the capacity division current data sequence with the corresponding capacity division reference current data. When the comparison result indicates that there is abnormal capacity division data, a capacity division alarm information about the abnormal capacity division data is generated for the battery. When there is capacity division alarm information, it is determined that the monitored battery data meets the data abnormality condition corresponding to the current production process, which can improve the analysis accuracy of the battery data of the charging / discharging process at different stages in the capacity division process, thereby improving the accuracy of the determination of abnormal data at different stages in the capacity division process, and then improving the accuracy of the determination of whether the battery data meets the data abnormality condition, which is conducive to improving the accuracy of the determination of the presence of the battery tab fracture; and, when different abnormal voltage data appear, corresponding alarm information can be generated, thereby improving the alarm efficiency and alarm accuracy of the battery data abnormality, thereby improving the alarm efficiency and alarm accuracy of the battery abnormality.

[0151] In this optional embodiment, optionally, for each capacity division stage:

[0152] Optionally, when the capacity division stage corresponding to the abnormal capacity division voltage data belongs to the charging stage, the abnormal capacity division voltage data may include at least one of a first capacity division voltage data subsequence, a second capacity division voltage data subsequence, and a third capacity division voltage data subsequence;

[0153] Among them, further optionally, the first divided-capacitance voltage data subsequence includes at least a first preset divided-capacitance number of continuous first capacitor voltage data, wherein the voltage value of each first divided-capacitance voltage data is reduced compared with the first divided-capacitance reference voltage data, and the voltage drop value of all first divided-capacitance voltage data compared with the first divided-capacitance reference voltage data is greater than or equal to the first preset divided-capacitance voltage value; the second divided-capacitance voltage data subsequence includes at least a second preset divided-capacitance number of continuous second divided-capacitance voltage data, wherein the cumulative voltage drop value corresponding to each second divided-capacitance voltage data compared with the first divided-capacitance reference voltage data is greater than or equal to the second preset divided-capacitance voltage value; the voltage drop value of the third divided-capacitance voltage data compared with the first divided-capacitance reference voltage data is greater than or equal to the third preset divided-capacitance voltage value.

[0154] Optionally, when the capacity division stage corresponding to the abnormal capacity division voltage data belongs to the constant voltage stage, the abnormal capacity division voltage data may include a fourth capacity division voltage data subsequence and / or a fifth capacity division voltage data subsequence;

[0155] Among them, further optionally, the fourth capacity division voltage data subsequence includes at least the third preset capacity division quantity of fourth capacity division voltage data, wherein each fourth capacity division voltage data undergoes an up / down voltage value fluctuation compared to the second capacity division reference voltage data; the fifth capacity division voltage data subsequence includes at least the fourth preset capacity division quantity of fifth capacity division voltage data, wherein all the fifth capacity division voltage data undergo a voltage value fluctuation in the same direction compared to the second capacity division reference voltage data.

[0156] Optionally, when the capacity division stage corresponding to the abnormal capacity division voltage data belongs to the discharge stage, the abnormal capacity division voltage data may include the sixth capacity division voltage data subsequence and / or the seventh capacity division voltage data;

[0157] Among them, further optionally, the sixth divided-capacitance voltage data subsequence includes at least a fifth preset divided-capacitance number of continuous sixth divided-capacitance voltage data, wherein the voltage rise value of each sixth divided-capacitance voltage data compared to the third divided-capacitance reference voltage data is greater than or equal to the fourth preset divided-capacitance voltage value; and the voltage rise value of the seventh divided-capacitance voltage data compared to the third divided-capacitance reference voltage data is greater than or equal to the fifth preset divided-capacitance voltage value.

[0158] It can be seen that this optional embodiment can also set different judgment conditions for voltage data according to the characteristics of charging and discharging parameters of different stage types such as charging, constant voltage, and discharging during the process of analyzing the detected battery data, and judge the voltage data that meets the above judgment conditions as abnormal data, which can improve the analysis accuracy of the voltage data of the charging / discharging process at different stages in the capacity division process, thereby improving the judgment accuracy of abnormal voltage data at different stages in the capacity division process.

[0159] In this optional embodiment, optionally, for each capacity division stage:

[0160] Optionally, when the capacity division stage belongs to the constant voltage stage, the abnormal capacity division current data may include a first capacity division current data subsequence; wherein the first capacity division current data subsequence includes at least a sixth preset capacity division number of first capacity division current data, and the current rise value of each first capacity division current data compared to the first capacity division reference current data is greater than or equal to the first preset current value.

[0161] Optionally, when the capacity division stage belongs to the discharge stage, the abnormal capacity division current data may include a second capacity division current data subsequence; wherein the second capacity division current data subsequence includes at least a seventh preset capacity division number of second capacity division current data, and the current drop value of each second capacity division current data compared to the second capacity division reference current data is greater than or equal to the second preset current value.

[0162] It can be seen that this optional embodiment can also set different judgment conditions for current data according to the characteristics of charging and discharging parameters of different stage types such as constant voltage and discharge during the analysis of the detected battery data, and judge the current data that meets the above judgment conditions as abnormal data, which can improve the analysis accuracy of the current data of the charging / discharging process at different stages in the capacity division process, thereby improving the judgment accuracy of abnormal current data at different stages in the capacity division process.

[0163] In the embodiment of the present application, illustratively, in the capacity division process, the specific method of judging whether the monitored battery data meets the data abnormality condition corresponding to the capacity division process and the corresponding alarm type and alarm code can be referred to Table 2, which includes the data abnormality judgment method corresponding to the capacity division process, and the embodiment of the present application is not limited; wherein, Table 2 can be shown as follows:

[0164]

[0165]

[0166] Among them, the first capacity division voltage data subsequence corresponds to the alarm code E3 of Table 2 (that is, the charging voltage continuously decreases type), the second capacity division voltage data subsequence corresponds to the alarm code E2 of Table 2 (that is, the charging voltage cumulative decreases type), the third capacity division voltage data corresponds to the alarm code E7 of Table 2 (that is, the charging voltage instantly decreases type), the first capacity division current data subsequence corresponds to the alarm code E0 of Table 2 (that is, the charging current instantly increases type), the fourth capacity division voltage data subsequence corresponds to the alarm code F8 of Table 2 (that is, the constant voltage fluctuation type), the fifth capacity division voltage data subsequence corresponds to the alarm code F9 of Table 2 (that is, the constant voltage deviation type), the second capacity division current data subsequence corresponds to the alarm code E8 of Table 2 (that is, the discharge current instantly decreases type), the sixth capacity division voltage data subsequence corresponds to the alarm code E5 of Table 2 (that is, the discharge voltage continuously increases type), and the seventh capacity division voltage data corresponds to the alarm code E6 of Table 2 (that is, the discharge voltage instantly increases type).

[0167] In yet another optional embodiment, after determining that the monitored battery data meets the data abnormality condition corresponding to the current production process, the method may further include the following operations:

[0168] Disruption of the current production process of batteries;

[0169] Perform a re-test operation on the battery to obtain re-test data;

[0170] Determine whether the re-test data meets the data abnormality conditions corresponding to the current production process;

[0171] When it is determined that the re-test data meets the data abnormality condition corresponding to the current production process, an operation of determining that the battery meets the tab fracture condition corresponding to the current production process is triggered.

[0172] The re-test operation is used to re-test the battery and re-execute the charge / discharge operation corresponding to the current production process on the battery, and the data type corresponding to the re-test data corresponds one-to-one to the data type corresponding to the monitored battery data.

[0173] It can be seen that this optional embodiment can, after determining that the monitored battery data meets the data abnormality condition, first interrupt the current production process of the battery, then perform a re-test operation on the battery, and determine whether the re-test data meets the data abnormality condition corresponding to the current production process. If the judgment result is yes, the battery is determined to meet the tab fracture condition. By performing a secondary test on the battery, the accuracy of the determination of battery data abnormalities can be further improved, which is beneficial to further improve the accuracy of the determination of whether the battery has a tab fracture abnormality, and further helps to improve the reliability of the detection results of the battery tab fracture detection.

[0174] Embodiment 3

[0175] See also Figure 3 , Figure 3 1 is a schematic diagram of the structure of a battery tab fracture detection device disclosed in an embodiment of the present application. Figure 3 The battery tab fracture detection device described may include one of a detection terminal, a detection device, a detection system and a server, which is not limited in the embodiments of the present application; wherein the device can be applied to a battery production line, and further, the device can be applied to an MES (Manufacturing Execution System) system, wherein the MES system can be used to manage the battery production process, which is not limited in the embodiments of the present application. Figure 3 As shown, the battery tab fracture detection device may include:

[0176] The monitoring module 301 is used to monitor the battery data of the battery in the current production process during the battery production process;

[0177] A judgment module 302 is used to judge whether the battery meets the tab fracture condition corresponding to the current production process according to the battery data;

[0178] The determination module 303 is used to determine that the battery has a tab fracture anomaly when it is determined that the battery meets the tab fracture condition corresponding to the current production process.

[0179] It can be seen that the device described in the embodiment of the present application can determine whether the battery meets the corresponding tab fracture conditions according to the monitored battery data of the battery in the current production process during the battery production process. If the judgment result is yes, it can be determined that the battery has a tab fracture abnormality. There is no need to add additional detection steps in the conventional battery production process. The battery tab fracture detection can be realized by monitoring the battery data in the production process. On the basis of improving the collection efficiency and analysis efficiency of the battery data, the detection accuracy and efficiency of the battery tab fracture can be improved, which is beneficial to the processing of batteries with tab fracture abnormalities in subsequent production processes, and further helps to improve the quality and safety of the battery products produced, and further helps to improve the accuracy and efficiency of battery production management.

[0180] In an optional embodiment, the specific manner in which the judgment module 302 judges whether the battery meets the tab fracture condition corresponding to the current production process according to the battery data may include:

[0181] Determine the monitoring battery data required to be monitored in the current production process from the battery data, and determine the reference battery data corresponding to the current production process;

[0182] Based on the benchmark battery data, determine whether the monitored battery data meets the data abnormality conditions corresponding to the current production process;

[0183] When it is determined that the monitored battery data meets the data abnormality condition corresponding to the current production process, it is determined that the battery meets the tab fracture condition corresponding to the current production process;

[0184] When it is determined that the monitored battery data does not satisfy the data abnormality condition corresponding to the current production process, it is determined that the battery does not satisfy the tab fracture condition corresponding to the current production process.

[0185] It can be seen that the device described in the implementation of this optional embodiment can first determine the battery data required to be monitored in the current production process from the battery data and determine the corresponding benchmark battery data, so as to judge whether the monitored battery data meets the corresponding data abnormality condition based on the benchmark battery data. If the judgment result is yes, it is determined that the battery meets the tab fracture condition, otherwise, it is determined that the battery does not meet the tab fracture condition, which can improve the accuracy of determining the battery data required to be analyzed for different production processes, thereby facilitating the improvement of the accuracy of judging whether the battery meets the data abnormality condition, and further facilitating the improvement of the accuracy of judging whether the battery meets the tab fracture condition, and further facilitating the improvement of the accuracy of detecting the tab fracture of the battery.

[0186] In this optional embodiment, optionally, if the current production process is a formation process, the current production process includes multiple formation stages, and the monitoring battery data includes a formation voltage data sequence corresponding to each formation stage, the formation voltage data sequence includes multiple formation voltage data, and the reference battery data includes formation reference voltage data corresponding to each formation stage, and each formation reference voltage data is the formation voltage data with the highest value in the formation voltage data sequence corresponding to the formation stage.

[0187] It can be seen that the device described in the implementation of this optional embodiment can also, when the current production process is a formation process, the battery data to be monitored is voltage data, and the voltage data with the highest value in each formation stage can be set as reference voltage data, so as to more specifically analyze the voltage data in the formation process, thereby improving the accuracy of judging whether the battery meets the data abnormality conditions.

[0188] In this optional embodiment, optionally, if the current production process is a formation process, the specific manner in which the judgment module 302 judges whether the monitored battery data meets the data abnormality condition corresponding to the current production process based on the reference battery data may include:

[0189] Comparing the formation voltage data sequence corresponding to each formation stage with the formation reference voltage data corresponding to the formation stage to obtain a formation voltage comparison result;

[0190] When the formation voltage comparison result is used to indicate that abnormal formation voltage data exists in any formation voltage data sequence, formation alarm information of the battery about the abnormal formation voltage data is generated; the abnormal formation voltage data includes at least one of the first formation voltage data, the second formation voltage data subsequence and the third formation voltage data subsequence;

[0191] When there is formation alarm information, determine that the monitored battery data meets the data abnormality conditions corresponding to the current production process;

[0192] In which, the voltage drop value of the first formation voltage data compared to the formation reference voltage data is greater than or equal to the first preset formation voltage value; the second formation voltage data subsequence includes at least a first preset formation number of continuous second formation voltage data, wherein the voltage value of each second formation voltage data is reduced compared to the formation reference voltage data, and the cumulative voltage drop value corresponding to all the second formation voltage data compared to the formation reference voltage data is greater than or equal to the second preset formation voltage value; the third formation voltage data subsequence includes at least a second preset formation number of continuous third formation voltage data, wherein the voltage drop value of each third formation voltage data compared to the formation reference voltage data is greater than or equal to the third preset formation voltage value.

[0193] It can be seen that the device described in the implementation of this optional embodiment can also compare the formation voltage data sequence corresponding to each formation stage with the corresponding formation reference voltage data. When the formation voltage comparison result indicates the existence of abnormal formation voltage data, a formation alarm information about the abnormal formation voltage data is generated for the battery. When the formation alarm information exists, it is determined that the monitored battery data meets the data abnormality condition corresponding to the current production process, which can improve the analysis accuracy of the voltage data of the charging process at different stages in the formation process, thereby improving the accuracy of the determination of abnormal data at different stages in the formation process, and then improving the accuracy of the determination of whether the battery data meets the data abnormality condition, which is conducive to improving the accuracy of the determination of the presence of a tab break in the battery; and, when different abnormal voltage data appear, corresponding alarm information can be generated, thereby improving the alarm efficiency and alarm accuracy of battery data abnormality, thereby improving the alarm efficiency and alarm accuracy of battery abnormality.

[0194] In this optional embodiment, optionally, if the current production process is a capacity division process, the current production process includes multiple capacity division stages and the monitored battery data includes a capacity division voltage data sequence corresponding to each capacity division stage and / or a capacity division current data sequence corresponding to each capacity division stage, the capacity division voltage data sequence includes multiple capacity division voltage data, and the capacity division current data sequence includes multiple capacity division current data;

[0195] Wherein, for each capacity division stage, when the capacity division stage belongs to the charging stage, the reference battery data includes the first capacity division reference voltage data corresponding to the capacity division stage; the first capacity division reference voltage data is the capacity division voltage data with the highest value in the capacity division voltage data sequence corresponding to the capacity division stage;

[0196] When the capacity division stage belongs to the constant voltage stage, the reference battery data includes first capacity division reference current data corresponding to the capacity division stage and second capacity division reference voltage data corresponding to the capacity division stage; the first capacity division reference current data is the preset constant current data corresponding to the capacity division stage; the second capacity division reference voltage data is the preset constant voltage data corresponding to the capacity division stage;

[0197] When the capacity division stage belongs to the discharge stage, the reference battery data includes the second capacity division reference current data corresponding to the capacity division stage and the third capacity division reference voltage data corresponding to the capacity division stage; the second capacity division reference current data is the preset constant current data corresponding to the capacity division stage; the third capacity division reference voltage data is the capacity division voltage data with the lowest value in the capacity division voltage data sequence corresponding to the capacity division stage.

[0198] It can be seen that the device described in the implementation of this optional embodiment can also include current data and / or voltage data for monitoring when the current production process is a capacity division process, and can set different reference battery data according to the charging / discharging characteristics of different types of capacity division stages, and can more specifically analyze the voltage data and current data in the capacity division process, thereby improving the accuracy of judging whether the battery meets the data abnormality conditions.

[0199] In this optional embodiment, if the current production process is a capacity separation process, the specific manner in which the judgment module 302 judges whether the monitored battery data meets the data abnormality condition corresponding to the current production process according to the reference battery data may include:

[0200] Comparing the capacitance division voltage data sequence corresponding to each capacitance division stage with the capacitance division reference voltage data corresponding to the capacitance division stage to obtain the capacitance division voltage comparison result;

[0201] When the reference battery data corresponding to any capacity division stage includes capacity division reference current data, the capacity division current data sequence corresponding to the capacity division stage is compared with the capacity division reference current data corresponding to the capacity division stage to obtain the capacity division current comparison result;

[0202] When the capacity division voltage comparison result is used to indicate that there is abnormal capacity division voltage data in any capacity division voltage data sequence and / or the capacity division current comparison result is used to indicate that there is abnormal capacity division current data in any capacity division current data sequence, generating capacity division alarm information of the battery regarding abnormal capacity division data; the abnormal capacity division data includes abnormal capacity division voltage data and / or abnormal capacity division current data;

[0203] When there is a capacity division alarm message, it is determined that the monitored battery data meets the data abnormality condition corresponding to the current production process.

[0204] It can be seen that the device described in the implementation of this optional embodiment can also compare the capacity division voltage data sequence corresponding to each capacity division stage with the corresponding capacity division reference voltage data, and compare the capacity division current data sequence with the corresponding capacity division reference current data. When the comparison result indicates that abnormal capacity division data exists, capacity division alarm information about the abnormal capacity division data is generated for the battery. When capacity division alarm information exists, it is determined that the monitored battery data meets the data abnormality condition corresponding to the current production process, which can improve the analysis accuracy of the battery data of the charging / discharging process at different stages in the capacity division process, thereby improving the accuracy of the determination of abnormal data at different stages in the capacity division process, and then improving the accuracy of the determination of whether the battery data meets the data abnormality condition, which is conducive to improving the accuracy of the determination of the presence of the battery tab fracture; and, when different abnormal voltage data appear, corresponding alarm information can be generated, thereby improving the alarm efficiency and alarm accuracy of the battery data abnormality, thereby improving the alarm efficiency and alarm accuracy of the battery abnormality.

[0205] In this optional embodiment, optionally, as Figure 4 As shown, the device may also include:

[0206] The interruption control module 304 is used to interrupt the current production process of the battery after the determination module 302 determines that the monitored battery data meets the data abnormality condition corresponding to the current production process;

[0207] The re-test module 305 is used to perform a re-test operation on the battery to obtain re-test data;

[0208] The judgment module 302 is also used to judge whether the re-test data meets the data abnormality condition corresponding to the current production process; when it is judged that the re-test data meets the data abnormality condition corresponding to the current production process, the determination module 303 is triggered to execute the operation of determining whether the battery meets the tab fracture condition corresponding to the current production process.

[0209] It can be seen that the device described in the implementation of this optional embodiment can also interrupt the current production process of the battery after determining that the monitored battery data meets the data abnormality condition, and then perform a re-test operation on the battery, and determine whether the re-test data meets the data abnormality condition corresponding to the current production process. If the judgment result is yes, it is determined that the battery meets the tab fracture condition. By performing a secondary test on the battery, the accuracy of the determination of battery data abnormalities can be further improved, which is conducive to further improving the accuracy of the determination of whether the battery has a tab fracture abnormality, and further conducive to improving the reliability of the detection results of the battery tab fracture detection.

[0210] In another optional embodiment, Figure 4 As shown, the device may also include:

[0211] A recording module 306 is used to record abnormal information about the abnormal tab fracture of the battery after determining that the tab fracture abnormality exists in the battery;

[0212] A protection module 307, used to perform a protection operation corresponding to the abnormal information on the battery;

[0213] A marking module 308, for marking the battery as a tab-broken battery based on the abnormal information;

[0214] The exclusion module 309 is used to exclude batteries with broken tabs from all batteries to be sorted and screened when entering the battery screening process.

[0215] It can be seen that the device described in the implementation of this optional embodiment can also, after determining that the battery has a tab fracture abnormality, record the battery's abnormal information about the tab fracture abnormality, perform a protection operation corresponding to the abnormal information on the battery, and mark the battery as a tab fracture battery, and then exclude the tab fracture battery when entering the battery screening process, which can improve the marking efficiency and marking accuracy of tab fracture batteries, thereby helping to improve the processing accuracy of tab fracture batteries, and further helping to improve the quality and safety of the battery products produced, and further helping to improve the accuracy and efficiency of battery production management.

[0216] Embodiment 4

[0217] See also Figure 5 , Figure 5 Schematic diagram of another battery tab fracture detection device disclosed in the embodiment of the present application. Figure 5 As shown, the battery tab fracture detection device may include:

[0218] A memory 401 storing executable program codes;

[0219] a processor 402 coupled to the memory 401;

[0220] The processor 402 calls the executable program code stored in the memory 401 to execute part or all of the steps in the battery tab fracture detection method described in the first embodiment of the present application or the second embodiment of the present application.

[0221] Embodiment 5

[0222] An embodiment of the present application discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute some or all of the steps in the battery tab fracture detection method described in Embodiment 1 or Embodiment 2 of the present application.

[0223] Embodiment 6

[0224] An embodiment of the present application discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable a computer to execute some or all of the steps in the battery tab fracture detection method described in Example 1 or Example 2.

[0225] The device embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, i.e., they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative work.

[0226] Through the specific description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solution can be essentially or partly contributed to the prior art in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0227] Finally, it should be noted that the battery tab fracture detection method and device, and computer storage medium disclosed in the embodiments of the present application are only preferred embodiments of the present application, and are only used to illustrate the technical solution of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, a person of ordinary skill in the art should understand that the technical solutions described in the aforementioned embodiments can still be modified, or some of the technical features therein can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present application.

Claims

1. A method for detecting battery tab fracture, characterized in that: The method comprises: During the battery production process, monitor the battery data of the battery in the current production process; According to the battery data, determining whether the battery meets the tab fracture condition corresponding to the current production process; When it is determined that the battery meets the tab fracture condition corresponding to the current production process, it is determined that the battery has a tab fracture abnormality.

2. The battery tab fracture detection method according to claim 1, characterized in that: The step of judging whether the battery satisfies the tab fracture condition corresponding to the current production process according to the battery data includes: Determine the monitoring battery data required to be monitored in the current production process from the battery data, and determine the reference battery data corresponding to the current production process; According to the reference battery data, determining whether the monitored battery data meets the data abnormality condition corresponding to the current production process; When it is determined that the monitored battery data meets the data abnormality condition corresponding to the current production process, determining that the battery meets the tab fracture condition corresponding to the current production process; When it is determined that the monitored battery data does not satisfy the data abnormality condition corresponding to the current production process, it is determined that the battery does not satisfy the tab fracture condition corresponding to the current production process.

3. The battery tab fracture detection method according to claim 2, characterized in that: If the current production process is a formation process, then the current production process includes multiple formation stages, and the monitoring battery data includes a formation voltage data sequence corresponding to each formation stage, the formation voltage data sequence includes multiple formation voltage data, and the reference battery data includes formation reference voltage data corresponding to each formation stage, and each formation reference voltage data is the formation voltage data with the highest value in the formation voltage data sequence corresponding to the formation stage.

4. The battery tab fracture detection method according to claim 3, characterized in that: If the current production process is the formation process, judging whether the monitored battery data satisfies the data abnormality condition corresponding to the current production process according to the reference battery data includes: Comparing the formation voltage data sequence corresponding to each formation stage with the formation reference voltage data corresponding to the formation stage to obtain a formation voltage comparison result; When the formation voltage comparison result is used to indicate that abnormal formation voltage data exists in any of the formation voltage data sequences, formation alarm information of the battery about the abnormal formation voltage data is generated; the abnormal formation voltage data includes at least one of the first formation voltage data, the second formation voltage data subsequence, and the third formation voltage data subsequence; When the formation alarm information exists, determining that the monitored battery data meets the data abnormality condition corresponding to the current production process; Wherein, the voltage drop value of the first formation voltage data compared to the formation reference voltage data is greater than or equal to the first preset formation voltage value; the second formation voltage data subsequence includes at least a first preset formation number of continuous second formation voltage data, wherein the voltage value of each second formation voltage data is reduced compared to the formation reference voltage data, and the cumulative voltage drop value corresponding to all the second formation voltage data compared to the formation reference voltage data is greater than or equal to the second preset formation voltage value; the third formation voltage data subsequence includes at least a second preset formation number of continuous third formation voltage data, wherein the voltage drop value of each third formation voltage data compared to the formation reference voltage data is greater than or equal to the third preset formation voltage value.

5. The battery tab fracture detection method according to claim 2, characterized in that: If the current production process is a capacity division process, the current production process includes multiple capacity division stages, and the monitored battery data includes a capacity division voltage data sequence corresponding to each of the capacity division stages and / or a capacity division current data sequence corresponding to each of the capacity division stages, the capacity division voltage data sequence includes multiple capacity division voltage data, and the capacity division current data sequence includes multiple capacity division current data; Wherein, for each of the capacity division stages, when the capacity division stage belongs to the charging stage, the reference battery data includes first capacity division reference voltage data corresponding to the capacity division stage; the first capacity division reference voltage data is the capacity division voltage data with the highest value in the capacity division voltage data sequence corresponding to the capacity division stage; When the capacity division stage belongs to the constant voltage stage, the reference battery data includes first capacity division reference current data corresponding to the capacity division stage and second capacity division reference voltage data corresponding to the capacity division stage; the first capacity division reference current data is the preset constant current data corresponding to the capacity division stage; the second capacity division reference voltage data is the preset constant voltage data corresponding to the capacity division stage; When the capacity division stage belongs to the discharge stage, the reference battery data includes second capacity division reference current data corresponding to the capacity division stage and third capacity division reference voltage data corresponding to the capacity division stage; the second capacity division reference current data is the preset constant current data corresponding to the capacity division stage; the third capacity division reference voltage data is the lowest value of the capacity division voltage data sequence corresponding to the capacity division stage.

6. The battery tab fracture detection method according to claim 5, characterized in that: If the current production process is the capacity division process, judging whether the monitored battery data satisfies the data abnormality condition corresponding to the current production process according to the reference battery data includes: Comparing the capacitance division voltage data sequence corresponding to each of the capacitance division stages with the capacitance division reference voltage data corresponding to the capacitance division stage to obtain a capacitance division voltage comparison result; When the reference battery data corresponding to any of the capacity division stages includes capacity division reference current data, comparing the capacity division current data sequence corresponding to the capacity division stage with the capacity division reference current data corresponding to the capacity division stage to obtain a capacity division current comparison result; When the capacity division voltage comparison result is used to indicate that abnormal capacity division voltage data exists in any of the capacity division voltage data sequences and / or the capacity division current comparison result is used to indicate that abnormal capacity division current data exists in any of the capacity division current data sequences, generating capacity division alarm information of the battery regarding abnormal capacity division data; the abnormal capacity division data includes the abnormal capacity division voltage data and / or the abnormal capacity division current data; When the capacity division alarm information exists, it is determined that the monitored battery data meets the data abnormality condition corresponding to the current production process.

7. The battery tab fracture detection method according to any one of claims 2 to 6, characterized in that: After determining that the monitored battery data meets the data abnormality condition corresponding to the current production process, the method further includes: interrupting the current production process of the battery; Performing a re-test operation on the battery to obtain re-test data; Determine whether the re-test data meets the data abnormality condition corresponding to the current production process; When it is determined that the re-test data meets the data abnormality condition corresponding to the current production process, the operation of determining that the battery meets the tab fracture condition corresponding to the current production process is triggered.

8. The battery tab fracture detection method according to any one of claims 1 to 6, characterized in that: After determining that the battery has a tab fracture anomaly, the method further includes: Recording abnormal information of the battery regarding the abnormality of the tab fracture; Performing a protection operation corresponding to the abnormal information on the battery, and marking the battery as a tab-broken battery based on the abnormal information; When entering the battery screening process, the battery with broken tabs is excluded from all batteries to be graded and screened.

9. A battery tab fracture detection device, characterized in that: The device comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the battery tab fracture detection method as described in any one of claims 1-8.

10. A computer storage medium, characterized in that: The computer storage medium stores computer instructions, and when the computer instructions are called, they are used to execute the battery tab fracture detection method as described in any one of claims 1-8.

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