Apparatus and method for analyzing long test of battery

Abstract

An apparatus and method for analyzing a long-term test of a battery according to an embodiment of the present invention involves obtaining test data of a single battery cell subjected to a long-term test, splitting the obtained test data, and obtaining analysis data for analyzing the long-term test of the battery cell based on the split test data, it is possible to analyze anomalies in a single battery cell and to be applied to a previously designed conventional device for analyzing battery performance, such that it is expected to obtain highly reliable analysis results based on analyzing various data for a single battery cell.

Description

Technical Field

[0001] This application claims priority to and the benefit of Korean Patent Application No. 10-2022-0119985 filed in the Korean Intellectual Property Office on September 22, 2022, the entire contents of which are incorporated herein by reference.

[0002] The present invention relates to an apparatus and method for analyzing long-term testing of a battery, and more particularly to an apparatus and method for analyzing long-term testing of a battery as follows: the apparatus analyzes test data obtained by repeatedly testing a single battery cell under the same conditions for a period of time to determine whether an abnormality occurs in the battery. Background Art

[0003] As the price of energy rises due to the depletion of fossil fuels and increasing concerns about environmental pollution, the demand for secondary batteries as an environmentally friendly alternative energy source is rapidly increasing.

[0004] Among secondary batteries, lithium batteries are being applied to various industrial fields such as mobile applications, automobiles, robots, and energy storage systems in response to current environmental regulations and high oil price issues.

[0005] Generally speaking, the capacity and performance of batteries decrease as they are used, and the shape of the battery gradually deforms. Therefore, in order to use batteries reliably in various industrial fields, it is most important to design the battery so that it can maintain certain characteristics after long-term use. Therefore, traditionally, long-term testing is required to ensure the reliability of batteries.

[0006] The battery long-term test inspection is a test to determine whether the battery has degraded or abnormalities have occurred by repeatedly testing under the same conditions over a certain period of time. For example, the long-term test may include a battery charge / discharge test and a high-temperature storage test.

[0007] Typically, most battery performance tests are performed on a battery module basis, and whether an abnormality occurs is determined by comparing the test data with adjacent battery cells tested under the same conditions.

[0008] Meanwhile, as described above, the long-term test inspection of the battery is accompanied by degradation of the battery cell to be inspected. Therefore, in the past, the long-term test inspection was performed on a single battery cell in consideration of cost.

[0009] However, in conventional long-term tests using a single battery cell, when analyzing the test data results, it is not possible to compare the data under the same degradation conditions by repeating the test under the same conditions, resulting in a disadvantage of low reliability of the analysis results. Summary of the invention

[0010] Technical issues

[0011] To solve one or more problems of the prior art, embodiments of the present disclosure provide an apparatus for analyzing long-term testing of a battery.

[0012] To solve one or more problems of the prior art, embodiments of the present disclosure also provide a method for analyzing a long-term test of a battery.

[0013] Technical Solution

[0014] To achieve the purpose of the present disclosure, a device for analyzing the results of long-term testing and inspection of a battery cell may include: a memory; and a processor, the processor executing at least one instruction in the memory, wherein the at least one instruction includes: an instruction for obtaining test data of a battery cell undergoing long-term testing and inspection; an instruction for obtaining analysis data, the analysis data including a plurality of grouped data obtained from the test data; and an instruction for determining whether an abnormality has occurred in the battery cell based on the analysis data.

[0015] Here, the long-term test inspection may include a plurality of tests repeatedly performed on the battery cell under the same conditions within a certain period of time.

[0016] Furthermore, the instructions for obtaining analysis data may include: instructions for obtaining a plurality of segmented data from the test data according to a first criterion; and instructions for grouping the segmented data according to a second criterion to obtain the analysis data including the plurality of grouped data.

[0017] Here, the segmented data may be a plurality of pieces of data segmented according to the first standard corresponding to a test cycle period of the long-term test check.

[0018] Furthermore, the segmented data may be charging data extracted for each test cycle checked for the long-term test according to the first standard corresponding to a specific state of charge (SOC) interval.

[0019] Furthermore, the second criterion comprises the number of battery cells in a battery module in which the battery cell is used.

[0020] The instructions for determining whether an abnormality has occurred in the battery cell may include: instructions for comparing differences between the plurality of grouped data; and instructions for determining that an abnormality has occurred in the battery cell when a data difference greater than a threshold value occurs at a specific time point.

[0021] The instructions for determining whether an abnormality has occurred in the battery cell include instructions for comparing deviations between the plurality of grouped data and determining that degradation has occurred in the battery cell if a data deviation greater than a threshold value occurs within a certain period of time.

[0022] The instructions for determining that an abnormality has occurred in the battery cell may also include instructions for predicting a cause of the abnormality occurring in the battery cell.

[0023] The instructions for predicting the cause of the abnormality occurring in the battery cell may include: instructions for determining that the abnormality occurs in the battery cell due to a physical change; and instructions for determining that the abnormality occurs in the battery cell due to a chemical change.

[0024] According to another embodiment of the present disclosure, a method for analyzing the results of long-term testing and inspection of a battery cell may include: obtaining test data of a battery cell undergoing long-term testing and inspection; obtaining analysis data, the analysis data including a plurality of grouped data obtained from the test data; and determining whether an abnormality has occurred in the battery cell based on the analysis data.

[0025] The long-term test check may include multiple tests of the battery cell repeated under the same conditions over a period of time.

[0026] The obtaining of analysis data may include: obtaining a plurality of segmented data from the test data according to a first standard; and grouping the segmented data according to a second standard to obtain the analysis data including the plurality of grouped data.

[0027] The segmented data may include a plurality of pieces of data segmented according to the first standard corresponding to a test cycle period of the long-term test check.

[0028] The segmented data may include charging data extracted for each test cycle examined by the long-term test according to the first criteria corresponding to a particular state of charge (SOC) interval.

[0029] The second criterion may include the number of battery cells in a battery module to which the battery cell is applied.

[0030] Determining whether an abnormality has occurred in the battery cell may include: comparing differences between the plurality of grouped data; and determining that an abnormality has occurred in the battery cell when a data difference greater than a threshold value occurs at a specific time point.

[0031] Determining whether an abnormality has occurred in the battery cell may include: comparing deviations between the plurality of grouped data; and determining that degradation has occurred in the battery cell if a data deviation greater than a threshold value occurs within a certain period of time.

[0032] Determining whether an abnormality has occurred in the battery cell may further include predicting a cause of the abnormality occurring in the battery cell.

[0033] Predicting the cause of the abnormality occurring in the battery cell further includes: determining that the abnormality has occurred in the battery cell due to a physical change; and determining that the abnormality has occurred in the battery cell due to a chemical change.

[0034] Beneficial Effects

[0035] The battery long-term test analysis equipment and method according to an embodiment of the present invention can obtain test data of a single battery cell that has undergone long-term test inspection, segment the obtained test data, and obtain analysis data for analyzing the long-term test of the battery cell, thereby using the analysis data to analyze abnormalities in a single battery cell and apply it to conventional battery performance inspections previously designed based on battery modules, so that highly reliable analysis can be performed. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 is a block diagram illustrating a general method for analyzing long-term battery tests.

[0037] Figure 2 is a conceptual diagram of a battery long-term test analysis device according to an embodiment of the present invention.

[0038] Figure 3 is a block diagram of a battery long-term test analysis device according to an embodiment of the present invention.

[0039] Figure 4 is a flowchart showing a long-term test analysis method operated by a processor in a battery long-term test analysis device according to an embodiment of the present invention.

[0040] Figure 5 is a flow chart showing a method for obtaining analysis data of a battery long-term test analysis method according to an embodiment of the present invention.

[0041] Figure 6 is a graph illustrating a method of analyzing whether an abnormality occurs in a single battery cell of a battery long-term test analysis method according to an embodiment of the present invention.

[0042] Figure 7 is a graph for explaining abnormality occurring in a single battery cell due to physical changes according to an experimental example of the present invention.

[0043] Figure 8 is a graph for explaining abnormality occurring in a single battery cell due to chemical changes according to an experimental example of the present invention.

[0044] 1000: Battery long-term test and analysis equipment

[0045] 100: Memory 200: Processor

[0046] 300: transceiver 400: input interface

[0047] 500: output interface 600: storage device

[0048] 700: Bus DETAILED DESCRIPTION

[0049] The present invention can be modified in various forms and has various embodiments, and its specific embodiments are shown in the accompanying drawings by way of example and will be described in detail below. However, it should be understood that it is not intended to limit the present invention to specific embodiments, but rather the present invention will cover all variations, equivalents and alternatives that fall within the spirit and technical scope of the present invention. In the description of all drawings, the same reference numerals refer to the same elements.

[0050] It should be understood that although various elements may be described herein using terms such as first, second, A, B, etc., these elements should not be limited by these terms. These terms are only used to distinguish one element from another element. For example, a first element may be referred to as a second element, and similarly, a second element may be referred to as a first element without departing from the scope of the present invention. As used herein, the term "and / or" includes a combination of a plurality of associated listed items or a combination of any items in a plurality of associated listed items.

[0051] It should be understood that when an element is referred to as being "coupled" or "connected" to another element, the element may be directly coupled or connected to the other element, or there may be intervening elements. Conversely, when an element is referred to as being "directly coupled" or "directly connected" to another element, there are no intervening elements.

[0052] The terms used herein are only used for the purpose of describing specific embodiments and are not intended to limit the present invention. As used herein, the singular forms "a", "an" and "the" are intended to also include plural forms, unless the context clearly indicates otherwise. It should also be understood that when used in this article, the terms "include", "comprise" and / or "have" specify the existence of stated features, integers, steps, operations, constituent elements, parts and / or combinations thereof, but do not exclude the existence or addition of one or more other features, integers, steps, operations, constituent elements, parts and / or combinations thereof.

[0053] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by those skilled in the art to which the present invention belongs. It should also be understood that terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant art, and will not be interpreted as such unless explicitly defined in this article in an idealized or overly formal sense.

[0054] Figure 1 is a block diagram illustrating a general method for analyzing long-term battery tests.

[0055] refer to Figure 1 , Long-term battery testing is a test to determine whether an abnormality has occurred in the battery by repeatedly testing under the same conditions over a certain period of time. For example, long-term testing may include charge / discharge testing and high-temperature storage testing to check the degree of battery degradation (health status).

[0056] Typically, performance testing is performed on a battery module basis to improve battery reliability. More specifically, battery performance testing involves testing battery modules under the same conditions and determining whether an abnormality has occurred by comparing and analyzing test data between adjacent battery cells.

[0057] Here, in the long-term test inspection of the battery, the test is repeatedly performed under the same conditions, which may cause degradation of at least one battery cell as the inspection target. Therefore, usually, considering the cost aspect, a specific single battery cell is selected and the long-term test inspection is performed on the selected battery cell.

[0058] However, long-term testing inspections using individual battery cells have the disadvantage of reducing the reliability of the inspection results because it is difficult to compare with other battery cells with similar health status when long-term testing is performed over a certain period of time.

[0059] Therefore, the present invention proposes a long-term test inspection and analysis device and method, in which test data is collected from a single battery cell subjected to long-term test inspection under certain conditions, the test data is classified and grouped according to predetermined standards, and the grouped data is used as comparison data for analyzing long-term test results, thereby analyzing battery abnormalities with high reliability.

[0060] Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the accompanying drawings.

[0061] Figure 2 is a conceptual diagram of a battery long-term test analysis device according to an embodiment of the present invention.

[0062] refer to Figure 2 The battery long-term test analysis device according to an embodiment of the present invention can obtain test data of a single battery cell by repeatedly performing the test under the same conditions over a certain period of time. Thereafter, the battery long-term test analysis device can analyze the obtained test data to determine whether a battery cell degradation condition or abnormality has occurred in the battery cell.

[0063] Hereinafter, a battery long-term testing and analyzing device according to an embodiment of the present invention will be described in more detail with the help of hardware configuration.

[0064] Figure 3is a block diagram of a battery long-term test analysis device according to an embodiment of the present invention.

[0065] For more details, refer to Figure 3 As for each component of the battery long-term test analysis device according to an embodiment of the present invention, the battery long-term test analysis device may include a memory 100 , a processor 200 , a transceiver 300 , an input interface 400 , an output interface 500 , and a storage device 600 .

[0066] According to an embodiment, the various components 100 , 200 , 300 , 400 , 500 , 600 included in the battery long-term test analysis device 1000 may be connected via a bus 700 to communicate with each other.

[0067] The memory 100 and the storage device 600 in the components 100, 200, 300, 400, 500, 600 may include at least one of a volatile storage medium and a nonvolatile storage medium. For example, the memory 100 and the storage device 600 may include at least one of a read-only memory (ROM) and a random access memory (RAM).

[0068] The memory 100 may include at least one instruction executed by the processor 200 .

[0069] According to an embodiment, the at least one instruction may include: an instruction for obtaining test data of a battery cell undergoing long-term testing and inspection; an instruction for obtaining analysis data, the analysis data comprising a plurality of grouped data obtained from the test data; and an instruction for determining whether an abnormality has occurred in the battery cell based on the analysis data.

[0070] Here, the long-term test inspection may include repeated multiple tests of the battery cell under the same conditions within a certain period of time.

[0071] Furthermore, the instructions for obtaining analysis data may include: instructions for obtaining a plurality of segmented data from the test data according to a first criterion; and instructions for grouping the segmented data according to a second criterion to obtain analysis data including a plurality of grouped data.

[0072] Here, the segmented data may be a plurality of pieces of data segmented according to a first standard corresponding to a test cycle period of the long-term test check.

[0073] Furthermore, the segmented data may be charging data extracted for each test cycle checked for the long-term test according to a first standard corresponding to a specific state of charge (SOC) interval.

[0074] Furthermore, the second criterion comprises the number of battery cells in the battery module in which the battery cells are used.

[0075] The instructions for determining whether an abnormality has occurred in the battery cell may include: instructions for comparing differences between a plurality of packet data; and instructions for determining that an abnormality has occurred in the battery cell when a data difference greater than a threshold value occurs at a specific time point.

[0076] The instructions for determining whether an abnormality has occurred in the battery cell include instructions for comparing deviations between a plurality of grouped data and determining that degradation has occurred in the battery cell if a data deviation greater than a threshold occurs within a specific time period.

[0077] The instructions for determining that an abnormality has occurred in the battery cell may also include instructions for predicting a cause of the abnormality occurring in the battery cell.

[0078] The instructions for predicting the cause of the abnormality occurring in the battery cell may include instructions for determining that the abnormality occurred in the battery cell due to a physical change and instructions for determining that the abnormality occurred in the battery cell due to a chemical change.

[0079] Meanwhile, the processor 200 may refer to a central processing unit (CPU), a graphic processing unit (GPU), or a dedicated processor for performing the method according to the embodiment of the present invention.

[0080] As described above, the processor 200 may execute at least one program command stored in the memory 100 .

[0081] Figure 4 is a flowchart showing a long-term test analysis method operated by a processor in a battery long-term test analysis device according to an embodiment of the present invention.

[0082] refer to Figure 4 , the battery long-term test analysis apparatus according to the embodiment of the present invention may acquire test data from a single battery cell according to the operation of the processor 200 ( S1000 ).

[0083] In more detail, the test data may be data obtained by performing long-term test inspections on individual battery cells.

[0084] Here, as described above, the long-term test inspection may be an inspection in which a single battery cell is repeatedly tested under the same conditions for a certain period of time in order to analyze whether the battery is degraded or abnormal.

[0085] According to an embodiment, the test data may be charge / discharge result data of a single battery cell obtained by repeatedly performing charge / discharge operations under certain conditions to measure the health state of the battery.

[0086] According to another embodiment, the test data may be state of health (SoC) data of a single battery cell measured when the single battery cell is stored at a high temperature higher than a preset threshold for a certain period of time.

[0087] Thereafter, the battery long-term test analysis apparatus may obtain analysis data by pre-processing the test data obtained from the single battery cell ( S3000 ).

[0088] Thereafter, the battery long-term test analysis device may analyze the long-term test result of the specific battery cell using the analysis data (S5000). In other words, the battery long-term test analysis device may determine whether an abnormality has occurred in a single battery cell based on the analysis data.

[0089] Figure 5 is a flow chart showing a method for obtaining analysis data of a battery long-term test analysis method according to an embodiment of the present invention.

[0090] refer to Figure 5 The battery long-term test analysis device may obtain a plurality of segmented data satisfying a first standard from test data obtained from a single battery cell (S3100).

[0091] According to an embodiment, the battery long-term test analysis device can segment the test data based on repeated test cycle periods to obtain multiple segmented data that meet the first standard. For example, the multiple segmented data that meet the first standard can be charging data measured in a specific SOC interval for each cycle.

[0092] Thereafter, the battery long-term test analysis device may acquire analysis data (S3500) including a plurality of grouped data (S3300), in which a plurality of segmented data are grouped based on a second criterion. For example, the second criterion may include the number of battery cells in a battery module to which the battery cells are applied.

[0093] According to the embodiment described in more detail, the battery long-term test analysis device can classify a plurality of segmented data into a preset number to generate a plurality of grouped data. Here, the plurality of segmented data can be classified according to the number of battery cells included in the battery module.

[0094] The battery long-term test and analysis apparatus according to an embodiment of the present invention can obtain a plurality of grouped data obtained by segmenting the test data obtained from a single battery cell according to a second standard, and use the grouped data as comparison data for performing a long-term test and analysis of a single battery cell. Therefore, the battery long-term test and analysis apparatus can provide highly reliable analysis results with improved accuracy by enabling data comparison even during a long-term test and analysis of a single battery cell.

[0095] Figure 6 is a graph showing a method of analyzing whether an abnormality occurs in a single battery cell of a battery long-term test analysis method according to an embodiment of the present invention. In more detail, Figure 6 (a) is a graph of test data of a single battery cell, and Figure 6 (b) shows an enlarged view of a region where an abnormality occurs between a plurality of segmented data of a single battery cell.

[0096] refer to Figure 6 As described above, the battery long-term test analysis device can determine whether an abnormality or degradation occurs in a single battery cell based on the analysis data.

[0097] More specifically, the battery long-term test analysis device can extract a plurality of segmented data satisfying the first criterion from the continuous test data obtained from a single battery cell, such as Figure 6 As shown in (a).

[0098] Thereafter, the battery long-term test analysis apparatus may obtain grouped data by grouping the plurality of segmented data into a predetermined number.

[0099] Thereafter, the battery long-term test analysis device can display multiple grouped data on a curve graph plane, such as Figure 6 as shown in (b).

[0100] For example, the battery long-term test analysis device can extract multiple segmented data as charging data of a specific state of charge (SOC) interval from the test data, divide them into 8 preset grouped data, and display the 8 grouped data on a curve graph plane, such as Figure 6 as shown in (b).

[0101] Thereafter, the battery long-term test analysis equipment can compare the data values ​​of a plurality of grouped data at the same time to determine whether an abnormality or degradation has occurred in a single battery cell.

[0102] According to an embodiment, when the difference in data values ​​between a plurality of grouped data is greater than or equal to a threshold, the battery long-term test analysis apparatus may determine that defect data F is generated based on the grouped data. In other words, the battery long-term test analysis apparatus may determine that an abnormality has occurred in a single battery cell.

[0103] In addition, according to another embodiment, when the continuous data values ​​of at least one group data in a certain period of time differ by more than a certain reference value compared with the data values ​​of at least one other group data in the certain period of time, the battery long-term test and analysis equipment determines that the single battery cell under test has been degraded.

[0104] Meanwhile, when defect data (F) occurs, the battery long-term test analysis device can obtain at least one parameter value using the analysis data. For example, the at least one parameter value can be data including grouped data for a certain period of time. Therefore, the battery long-term test analysis device can predict the cause of an abnormality in a single battery cell by analyzing a stream of defect data according to the at least one parameter value.

[0105] For example, the battery long-term test analysis apparatus may analyze a stream of defect data (F) based on at least one parameter value of the analysis data.

[0106] Here, the at least one parameter value can be analyzed by a battery long-term test analysis device, or can be obtained by inputting the analysis data into at least one previously designed battery analysis device that performs conventional module-based battery testing. In other words, the battery long-term test analysis device according to an embodiment of the present invention can obtain analysis data including a plurality of diverse grouped data, and apply it to an existing battery performance test device that performs inspections in battery modules, thereby realizing various data analyses of a single battery cell.

[0107] According to an embodiment, the battery long-term test analysis apparatus may analyze the flow of voltage, current, and temperature data within a certain period of time with respect to defect data (F), and may determine whether an abnormality has occurred in a single battery cell due to physical changes caused by external force.

[0108] In addition, according to another embodiment, the battery long-term test analysis equipment can analyze the flow of voltage, current and temperature data within a certain period of time with respect to defect data (F), and can determine whether an abnormality has occurred in a single battery cell due to chemical changes such as resistance or degradation.

[0109] In the following, we will Figure 7 and Figure 8 The experimental example of the present invention describes in detail a battery long-term test analysis method for predicting the cause of abnormalities in a single battery cell.

[0110] Long-term testing and analysis of batteries using the long-term testing and analysis equipment of the present invention

[0111] Using the battery long-term test analysis apparatus of the present invention, charge and discharge data of a single battery cell undergoing 1000 charge and discharge cycles were collected.

[0112] Afterwards, the battery long-term test and analysis equipment segments the collected charge and discharge data into 12 groups, and uses the grouped data to perform long-term test and analysis on a single battery cell.

[0113] Figure 7 is a graph for explaining abnormalities occurring in a single battery cell due to physical changes according to an experimental example of the present invention. More specifically, Figure 7 (a) shows a voltage curve diagram of grouped data of a single battery cell over time, Figure 7 (b) shows a current curve graph of grouped data of a single battery cell over time, and Figure 7 (c) shows a temperature curve graph of the grouped data of a single battery cell over time.

[0114] refer to Figure 7 As a result of analyzing the grouped data using the long-term test analysis device according to an embodiment of the present invention, the flow of the voltage, current, and temperature data of the twelfth grouped data within a certain period of time shows a difference from the flow of other grouped data except the twelfth grouped data. In other words, among the grouped data of a single battery cell with the same health status under the same conditions, only the twelfth grouped data shows a different data flow pattern within a certain period of time. Therefore, the long-term test analysis device according to an embodiment of the present invention can determine that a temporary abnormality in the data flow has occurred in a single battery cell due to a physical change caused by an external force.

[0115] Figure 8 is a graph for explaining abnormalities occurring in a single battery cell due to chemical changes according to an experimental example of the present invention. More specifically, Figure 8 (a) shows a voltage curve diagram of grouped data of a single battery cell over time, Figure 8 (b) shows a current curve graph of grouped data of a single battery cell over time, and Figure 8 (c) shows a temperature curve graph of the grouped data of a single battery cell over time.

[0116] refer to Figure 8 As a result of analyzing the grouped data using the long-term test analysis device according to an embodiment of the present invention, it can be noted that the voltage flow decreases as a whole while the current of the grouped data remains the same, and the temperature change of each grouped data is irregular. Therefore, the long-term test analysis device according to an embodiment of the present invention can determine that an abnormality has occurred in a single battery cell based on the resistance change caused by degradation, etc. In other words, the long-term test analysis device according to an embodiment of the present invention can determine that a problem has occurred in a single battery cell due to chemical changes.

[0117] The battery long-term test analysis apparatus and method according to the embodiments of the present invention are described above.

[0118] The battery long-term test analysis equipment and method according to an embodiment of the present invention can obtain test data of a single battery cell that has undergone long-term test inspection, segment the obtained test data, and obtain analysis data for analyzing the long-term test of the battery cell based on this, thereby analyzing abnormalities in a single battery cell and applying it to a conventional battery performance analysis device designed previously, so that highly reliable analysis results can be expected based on various data analyses of a single battery cell.

[0119] The operation of the method according to the embodiment of the present invention and the experimental example can be implemented as a computer-readable program or code on a computer-readable recording medium. The computer-readable recording medium includes all types of recording devices in which data readable by a computer system is stored. In addition, the computer-readable recording medium can be distributed in a networked computer system to store and execute the computer-readable program or code in a distributed manner.

[0120] In addition, the computer-readable recording medium may include hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, etc. The program instructions may include not only machine language codes created by a compiler, but also high-level language codes executed by a computer using an interpreter.

[0121] Although some aspects of the present invention have been described in the context of equipment, it can also be represented according to the description of the corresponding method, wherein the block or equipment corresponds to the characteristics of the method steps or method steps. Similarly, the aspects described in the context of the method can also represent the characteristics of the corresponding blocks or items or corresponding equipment. Some or all of the method steps can be performed by (or using) hardware devices (such as microprocessors, programmable computers or electronic circuits). In some embodiments, one or more of the most important method steps can be performed by such equipment.

[0122] In the foregoing, the present invention has been described with reference to exemplary embodiments thereof, but those skilled in the art will appreciate that various corrections and changes may be made to the present invention within the scope without departing from the spirit and scope of the invention described in the appended claims.

Claims

1. A device for analyzing the long-term test inspection results of a battery cell, the device comprising: Memory; as well as a processor, the processor executing at least one instruction in the memory, The at least one instruction includes: Instructions for obtaining test data of a battery cell undergoing a long-term test inspection; instructions for obtaining analysis data, the analysis data comprising a plurality of grouping data obtained from the test data; and Instructions for determining whether an abnormality has occurred in the battery cell based on the analysis data.

2. The device according to claim 1, wherein: The long-term test inspection includes repeated multiple tests of the battery cell under the same conditions over a certain period of time.

3. The device according to claim 1, wherein: The commands used to obtain analytical data include: instructions for obtaining a plurality of segmented data from the test data according to a first criterion; and Instructions for grouping the segmented data according to a second criterion to obtain the analysis data including the plurality of grouped data.

4. The device according to claim 3, wherein: The segmented data includes a plurality of pieces of data segmented according to the first standard corresponding to a test cycle period of the long-term test inspection.

5. The device according to claim 3, wherein: The segmented data includes charging data extracted for each test cycle examined by the long-term test according to the first standard corresponding to a specific state of charge (SOC) interval.

6. The device according to claim 3, wherein: The second criterion includes the number of battery cells in a battery module in which the battery cell is applied.

7. The device according to claim 1, wherein: The instructions for determining whether an abnormality has occurred in the battery cell include: instructions for comparing differences between the plurality of packets of data; and Instructions for determining that an abnormality has occurred in the battery cell when a data difference greater than a threshold value occurs at a specific time point.

8. The device according to claim 7, wherein: The instructions for determining whether an abnormality has occurred in the battery cell include instructions for comparing deviations between the plurality of grouped data and determining that degradation has occurred in the battery cell if a data deviation greater than a threshold value occurs within a certain period of time.

9. The device according to claim 7, wherein: The instructions for determining that an abnormality has occurred in the battery cell also include instructions for predicting a cause of the abnormality occurring in the battery cell.

10. The device according to claim 9, wherein: The instructions for predicting a cause of the abnormality occurring in the battery cell include: instructions for determining that an abnormality has occurred in the battery cell due to a physical change; and Instructions for determining that an abnormality has occurred in the battery cell due to a chemical change.

11. A method for analyzing the results of a long-term test of a battery cell, the method comprising the following steps: Obtain test data for battery cells undergoing long-term testing inspections; obtaining analysis data, the analysis data comprising a plurality of grouping data obtained from the test data; and It is determined whether an abnormality has occurred in the battery cell based on the analysis data.

12. The method according to claim 11, wherein: The long-term test inspection includes repeated multiple tests of the battery cell under the same conditions over a certain period of time.

13. The method according to claim 11, wherein: The steps to obtain analytical data include: Obtaining a plurality of segmented data from the test data according to a first standard; and The segmented data are grouped according to a second criterion to obtain the analysis data including the plurality of grouped data.

14. The method according to claim 13, wherein: The segmented data includes a plurality of pieces of data segmented according to the first standard corresponding to a test cycle period of the long-term test inspection.

15. The method according to claim 13, wherein: The segmented data includes charging data extracted for each test cycle examined by the long-term test according to the first standard corresponding to a specific state of charge (SOC) interval.

16. The method according to claim 13, wherein: The second criterion includes the number of battery cells in a battery module in which the battery cell is applied.

17. The method according to claim 11, wherein: The step of determining whether an abnormality occurs in the battery cell comprises: comparing differences between the plurality of grouped data; and When a data difference greater than a threshold value occurs at a specific time point, it is determined that an abnormality has occurred in the battery cell.

18. The method according to claim 17, wherein: The step of determining whether an abnormality occurs in the battery cell comprises: comparing deviations between the plurality of grouped data; and In the event of a data deviation greater than a threshold value occurring within a certain period of time, it is determined that degradation has occurred in the battery cell.

19. The method according to claim 17, wherein: The step of determining whether an abnormality occurs in the battery cell further includes: A cause of occurrence of the abnormality in the battery cell is predicted.

20. The method according to claim 19, wherein: The reasons for predicting the abnormality in the battery cell include: determining that an abnormality has occurred in the battery cell due to a physical change; and It is determined that an abnormality has occurred in the battery cell due to a chemical change.

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