Battery Long-Term Test Analysis Device and Method

The battery long-term test analysis device and method enhance the reliability of battery inspections by classifying and comparing test data from a single cell, addressing the limitations of conventional methods.

JP2025518322AActive Publication Date: 2025-06-12LG ENERGY SOLUTION LTD
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Patent Information

Application Number
JP2024571196
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Priority Date
2022-09-22
Filing Date
2023-09-19
Publication Date
2025-06-12
Estimated Expiration
2043-09-19

AI Technical Summary

Technical Problem

Conventional long-term test inspections of batteries using a single cell lack comparative data with similar deterioration conditions, leading to decreased reliability of analysis results.

Method used

A battery long-term test analysis device and method that acquire test data from a single battery cell, classify and group the data according to specific criteria, and determine the presence of abnormalities by comparing variations in the grouped data.

Benefits of technology

This approach enables highly reliable analysis of battery abnormalities by providing comparative data for long-term test results, improving the accuracy of battery performance inspections.

✦ Generated by Eureka AI based on patent content.

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Abstract

The battery long-term test analysis apparatus and method according to an embodiment of the present invention acquire test data of a single battery cell that has undergone a long-term test inspection, divide the acquired test data, and based on this, acquire analysis data for long-term test analysis of the corresponding battery cell. Thus, it is possible to analyze abnormal phenomena of a single battery cell, it is applicable to a conventionally designed battery performance analysis apparatus, and highly reliable analysis results can be expected through various data analyses for a single battery cell.
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Description

Technical Field

[0001] This application claims the benefit of the filing date of Korean Patent Application No. 10-2022-0119985, filed with the Korean Intellectual Property Office on September 22, 2022, and all of the content disclosed in the document of the Korean patent application is incorporated herein by reference.

[0002] The present invention relates to a battery long-term test analysis apparatus and method, which analyze test data obtained by repeatedly performing tests under the same conditions on a single battery cell for a certain period or more to determine whether an abnormality has occurred in the battery, and relates to a battery long-term test analysis apparatus and method.

Background Art

[0003] Due to the depletion of fossil fuels, the price of energy sources has risen, and the concern about environmental pollution has increased. As an environmentally friendly alternative energy source, the demand for secondary batteries is rapidly increasing.

[0004] Among secondary batteries, lithium batteries are applied to many industrial fields such as mobile application devices, automobiles, robots, and energy storage devices as countermeasures to current environmental regulations and high crude oil prices.

[0005] Generally, as the usage period of a battery increases, its capacity and performance decrease, and its form deforms. Therefore, in order to stably use batteries in various industrial fields, it is most important to design the battery so that it can maintain certain characteristics even after long-term use. Therefore, conventionally, long-term test inspections for ensuring the reliability of batteries have been essential.

[0006] The long-term test inspection of a battery is an inspection that repeatedly performs tests under the same conditions for a certain period or more to determine the deterioration and occurrence of abnormalities in the battery. For example, the long-term test inspection can include charge and discharge inspections and high-temperature storage inspections of the battery.

[0007] Generally, most battery performance inspections are carried out at the battery module unit, and the presence or absence of abnormalities is determined through comparison of test data with adjacent battery cells inspected under the same conditions.

[0008] On the other hand, as described above, the long-term test inspection of the battery involves deterioration of the battery cell to be inspected. Therefore, conventionally, in consideration of cost, the long-term test inspection has been carried out on a single battery cell.

[0009] However, in the conventional long-term test inspection using a single battery cell, when analyzing the results of the test data, there is no comparative data having the same deterioration conditions for repeated tests under the same conditions, so there is a disadvantage that the reliability of the analysis results decreases. Summary of the Invention Problems to be Solved by the Invention

[0010] An object of the present invention for solving the above problems is to provide a battery long-term test analysis device.

[0011] Another object of the present invention for solving the above problems is to provide a battery long-term test analysis method. Means for Solving the Problems

[0012] A battery long-term test analysis device for analyzing the long-term test inspection results of a battery cell according to an embodiment of the present invention for achieving the above object includes a memory and a processor that executes at least one instruction stored in the memory, and the at least one instruction includes an instruction to acquire test data of the battery cell on which the long-term test inspection has been performed, an instruction to acquire analysis data including a plurality of group data obtained from the test data, and an instruction to determine the presence or absence of an abnormality in the battery cell based on the analysis data.

[0013] Here, the long-term test inspection can include an inspection in which the same test is repeatedly performed on the battery cell for a certain period or more under the same conditions.

[0014] On the one hand, the instruction to obtain the above analysis data may include an instruction to obtain a plurality of divided data from the above test data according to a first criterion, and an instruction to group the divided data according to a second criterion to obtain the above analysis data including the above plurality of group data.

[0015] At this time, the above divided data may be a plurality of data divided according to the above first criterion which is the test cycle period of the above long-term test inspection.

[0016] On the one hand, the above divided data may be charging data extracted according to a first criterion which is a specific State of Charge (SOC) interval for each test cycle period of the above long-term test inspection.

[0017] In addition, the above second criterion may include the number of battery cells in the battery module to which the above battery cell is applied.

[0018] On the one hand, the instruction to determine whether an abnormality has occurred in the above battery cell may include an instruction to compare the differences between the above plurality of group data, and if a data difference equal to or greater than a threshold occurs at a specific time point, it is determined that an abnormality has occurred in the above battery cell.

[0019] Here, the instruction to determine whether an abnormality has occurred in the above battery cell may include an instruction to compare the variations between the above plurality of group data, and if a variation in data equal to or greater than a threshold occurs during a certain period, it is determined that deterioration has occurred in the above battery cell.

[0020] In addition, the instruction to determine that an abnormality has occurred in the above battery cell may further include an instruction to predict the cause of the abnormality in the above battery cell.

[0021] At this time, the instruction to predict the cause of the abnormality in the above battery cell may include an instruction to determine that an abnormality has occurred in the above battery cell due to a physical change, and an instruction to determine that an abnormality has occurred in the above battery cell due to a chemical change.

[0022] Another embodiment of the present invention for achieving the above object, a battery long-term test analysis method for analyzing the long-term test inspection results of a battery cell, includes steps of obtaining test data of the battery cell on which the long-term test inspection has been performed, obtaining analysis data including a plurality of group data obtained from the test data; and determining whether an abnormality has occurred in the battery cell based on the analysis data.

[0023] Here, the long-term test inspection can include an inspection of repeatedly performing a test under the same conditions on the battery cell for a certain period or more.

[0024] On the other hand, the step of obtaining the analysis data can include steps of obtaining a plurality of divided data from the test data according to a first criterion, and grouping the divided data according to a second criterion to obtain the analysis data including the plurality of group data.

[0025] At this time, the divided data may be a plurality of data divided according to the first criterion which is the test cycle period of the long-term test inspection.

[0026] On the other hand, the divided data may be charging data extracted according to a first criterion which is a specific SOC (State of Charge) interval for each test cycle period of the long-term test inspection.

[0027] Also, the second criterion can include the number of battery cells in the battery module to which the battery cell is applied.

[0028] On the other hand, the step of determining whether an abnormality has occurred in the battery cell can include steps of comparing the variations between the plurality of group data, and determining that an abnormality has occurred in the battery cell if a variation of data above a threshold occurs at a specific time point.

[0029] Here, the step of determining whether an abnormality has occurred in the battery cell may include a step of comparing the variations among the plurality of group data and determining that the battery cell has deteriorated when variations in data exceeding a threshold value occur over a certain period of time.

[0030] In addition, the step of determining that an abnormality has occurred in the battery cell may further include a step of predicting the cause of the occurrence of the abnormality in the battery cell.

[0031] At this time, the step of predicting the cause of the occurrence of the abnormality in the battery cell may include a step of determining that the abnormality has occurred in the battery cell due to a physical change and a step of determining that the abnormality has occurred in the battery cell due to a chemical change.

Advantages of the Invention

[0032] The battery long-term test analysis apparatus and method according to the embodiment of the present invention as described above acquire test data of a single battery cell that has undergone a long-term test inspection, and acquire analysis data for long-term test analysis of the corresponding battery cell based on the acquired test data, so that it is possible to analyze whether an abnormality has occurred in the battery using the analysis data, and it is applicable to the battery performance inspection of a conventionally designed battery module unit, enabling a highly reliable test analysis inspection.

Brief Description of the Drawings

[0033]

Figure 1

Figure 2

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Figure 7

Figure 8

Embodiments for Carrying Out the Invention

[0034] Since the present invention can be subjected to various changes and can have various embodiments, specific embodiments will be illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the present invention to specific embodiments, but should be understood to include all changes, equivalents or alternatives included in the spirit and technical scope of the present invention. Similar reference numerals are used for similar components while explaining each drawing.

[0035] Terms such as first, second, A, B, etc. can be used to explain various components, but the above components should not be limited by the above terms. The above terms are used only for the purpose of distinguishing one component from another. For example, without departing from the scope of the rights of the present invention, the first component can be named the second component, and similarly the second component can be named the first component. The term "and / or" includes a combination of a plurality of relatedly described items or one of the plurality of relatedly described items.

[0036] When a component is referred to as being "coupled" or "connected" to another component, it should be understood that it may be directly coupled or connected to the other component, but there may also be other components in between. In contrast, when a component is referred to as being "directly coupled" or "directly connected" to another component, it should be understood that there are no other components in between.

[0037] The terms used in this application are merely used to describe specific embodiments and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly dictates otherwise. In this application, terms such as "comprising" or "having" are intended to specify the presence of the features, numbers, steps, operations, components, parts, or combinations thereof described in the specification, and do not preclude the presence or addition of one or more other features, numbers, steps, operations, components, parts, or combinations thereof.

[0038] Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the technical field to which the present invention belongs. Terms defined as in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related art, and should not be interpreted as an ideal or overly formal meaning unless clearly defined in this application.

[0039] FIG. 1 is a block diagram for explaining a general method for analyzing long-term battery tests.

[0040] Referring to FIG. 1, the long-term battery test inspection is an inspection that repeatedly performs the same-condition test for a certain period or more to determine whether an abnormality occurs in the battery. For example, the long-term test inspection can include charge and discharge inspections and high-temperature storage inspections for confirming the degree of battery deterioration.

[0041] Generally, performance tests for improving the reliability of batteries are carried out in units of battery modules. More specifically, the battery performance test conducts tests under the same conditions for the battery module, and compares and analyzes the test data between adjacent battery cells to determine whether an abnormality has occurred.

[0042] At this time, in the long-term test of the battery, since the same-condition test is repeated, deterioration can progress in the battery cells to be inspected. Therefore, conventionally, considering the cost aspect, a specific single battery cell was selected and a long-term test was carried out on this cell.

[0043] However, the long-term test using a single battery cell has the disadvantage that it is difficult to compare with battery cells with a similar degree of deterioration during a long-term test for a certain period or more, and the reliability of the test results decreases.

[0044] Therefore, in the present invention, test data is collected from a single battery cell that has undergone a long-term test under certain conditions, and the test data is classified and grouped according to a preset standard, so that the grouped data is used as comparison data for long-term test result analysis, and a highly reliable battery abnormality analysis is possible. A long-term test inspection analysis device and method will be introduced.

[0045] Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

[0046] Figure 2 is a conceptual diagram of a battery long-term test analysis device according to an embodiment of the present invention.

[0047] Referring to Figure 2, the battery long-term test analysis device according to an embodiment of the present invention can repeatedly perform the same-condition test for a certain period or more to obtain test data of a single battery cell. Thereafter, the battery long-term test analysis device can analyze the obtained test data to determine the deterioration condition of the battery cell or whether an abnormality has occurred in the corresponding battery cell.

[0048] In the following, the battery long-term test analysis apparatus according to an embodiment of the present invention will be specifically described according to the hardware configuration.

[0049] FIG. 3 is a block diagram of a battery long-term test analysis apparatus according to an embodiment of the present invention.

[0050] Referring to FIG. 3, if the battery long-term test analysis apparatus is specifically described according to the configuration, the battery long-term test analysis apparatus can include a memory 100, a processor 200, a transceiver 300, an input interface device 400, an output interface device 500, and a storage device 600.

[0051] According to the embodiment, each of the components 100, 200, 300, 400, 500, 600 included in the control unit 4000 can be connected by a bus 700 and communicate with each other.

[0052] Among the above components 100, 200, 300, 400, 500, 600, the memory 100 and the storage device 600 can be composed of at least one of a volatile storage medium and a non-volatile storage medium. For example, the memory 100 and the storage device 600 can be composed of at least one of a read only memory (ROM) and a random access memory (RAM).

[0053] Among these, the memory 100 can include at least one instruction executed by the processor 200.

[0054] According to the embodiment, the at least one instruction can include an instruction to acquire test data of the battery cell in which the long-term test inspection has been performed, an instruction to acquire analysis data including a plurality of groups of data obtained from the test data, and an instruction to determine whether an abnormality has occurred in the battery cell based on the analysis data.

[0055] Here, the above long-term test inspection can include an inspection in which the same test is repeatedly performed on the above battery cell for a certain period or longer.

[0056] On the other hand, the instruction to obtain the above analysis data can include an instruction to obtain a plurality of divided data from the above test data according to a first criterion, and an instruction to group the above divided data according to a second criterion to obtain the above analysis data including the above plurality of group data.

[0057] At this time, the above divided data may be a plurality of data divided according to the above first criterion, which is the test cycle period of the above long-term test inspection.

[0058] On the other hand, the above divided data may be charging data extracted according to a first criterion, which is a specific SOC (State of Charge) section, for each test cycle period of the above long-term test inspection.

[0059] In addition, the above second criterion can include the number of battery cells in the battery module to which the above battery cell is applied.

[0060] On the other hand, the instruction to determine whether an abnormality has occurred in the above battery cell can include an instruction to compare the variations between the above plurality of group data, and if a variation in data exceeding a threshold occurs at a specific time point, it is determined that an abnormality has occurred in the above battery cell.

[0061] Here, the instruction to determine whether an abnormality has occurred in the above battery cell can include an instruction to compare the differences between the above plurality of group data, and if a data difference exceeding a threshold occurs during a certain period, it is determined that deterioration has occurred in the above battery cell.

[0062] In addition, the instruction to determine that an abnormality has occurred in the above battery cell can further include an instruction to predict the cause of the occurrence of the abnormality in the above battery cell.

[0063] At this time, the instruction for predicting the cause of the abnormality in the battery cell may include an instruction for determining that an abnormality has occurred in the battery cell due to a physical change, and an instruction for determining that an abnormality has occurred in the battery cell due to a chemical change.

[0064] On the other hand, the processor 200 may mean a central processing unit (CPU), a graphics processing unit (GPU), or a dedicated processor in which the method according to the embodiment of the present invention is performed.

[0065] As described above, the processor 200 can execute at least one program command stored in the memory 100.

[0066] FIG. 4 is a flowchart for explaining a long-term test analysis method operated by a processor in a battery long-term test analysis apparatus according to an embodiment of the present invention.

[0067] Referring to FIG. 4, the battery long-term test analysis apparatus according to the embodiment of the present invention can acquire test data from a single battery cell by the operation of the processor 200 (S1000).

[0068] More specifically, the test data may be data obtained by performing a long-term test inspection on the single battery cell.

[0069] At this time, the long-term test inspection may be an inspection in which the same test under the same conditions is repeatedly performed on a single battery cell for a certain period or more in order to analyze the deterioration and occurrence of abnormalities in the battery as described above.

[0070] According to an embodiment, the test data may be charge and discharge result data of a single battery cell obtained by repeatedly performing charge and discharge operations under certain conditions for measuring the degree of deterioration of the battery.

[0071] According to another embodiment, the test data may be the State of Charge (SOC) data of a single battery cell measured while being stored at a temperature equal to or higher than a preset threshold for a certain period or longer for the measurement of the degree of deterioration of the battery.

[0072] Thereafter, the battery long-term test analyzer can preprocess the test data obtained from a single battery cell to obtain analysis data (S3000).

[0073] Thereafter, the battery long-term test analyzer can analyze the long-term test results of a specific battery cell using the analysis data (S5000). In other words, the battery long-term test analyzer can determine whether an abnormality has occurred in a single battery cell based on the analysis data.

[0074] FIG. 5 is a flowchart for explaining a method of obtaining analysis data among the battery long-term test analysis methods according to an embodiment of the present invention.

[0075] Referring to FIG. 5, the battery long-term test analyzer can obtain a plurality of divided data satisfying a first criterion for the test data obtained from a single battery cell (S3100).

[0076] According to an embodiment, the battery long-term test analyzer can divide the test data based on the repeated test cycle period to obtain a plurality of divided data satisfying the first criterion. For example, the plurality of divided data satisfying the first criterion may be charge data measured in a specific SOC section for each period.

[0077] Thereafter, the battery long-term test analyzer can obtain analysis data (S3500) including a plurality of group data grouped according to a second criterion for the plurality of divided data (S3300). For example, the second criterion can include the number of battery cells in the battery module to which the battery cell is applied.

[0078] More specifically described by way of examples, the above battery long-term test analysis device can classify a plurality of divided data into a preset number to generate a plurality of group data. Here, the plurality of divided data can be classified by the number of battery cells included in the battery module.

[0079] The above battery long-term test analysis device according to an embodiment of the present invention includes a plurality of group data obtained by dividing test data acquired from a single battery cell according to a second condition, so that the group data can be utilized as comparison data for long-term test analysis of a single battery cell. As a result, the battery long-term test analysis device can perform data comparison even during long-term test analysis of a single battery cell, thereby providing highly reliable analysis results with improved accuracy.

[0080] FIG. 6 is a graph for explaining a method of analyzing the presence or absence of abnormality in a single battery cell among the battery long-term test analysis methods according to an embodiment of the present invention. More specifically described, (a) of FIG. 6 is a test data graph of a single battery cell, and (b) of FIG. 6 may be a partial graph showing an enlarged area (g) where an abnormality has occurred among a plurality of divided data of a single battery cell.

[0081] Referring to FIG. 6, as described above, the battery long-term test analysis device can determine the presence or absence of abnormality or deterioration of a single battery cell based on the analysis data.

[0082] More specifically described, the above battery long-term test analysis device can extract a plurality of divided data that satisfy a first criterion from continuous test data acquired from a single battery cell as shown in (a) of FIG. 6.

[0083] Thereafter, the above battery long-term test analysis device can group the plurality of divided data into a predefined number to obtain group data.

[0084] After that, the long-term battery test analyzer can display a plurality of group data on a single graph plane as shown in Fig. 6(b).

[0085] For example, as shown in Fig. 6(b), the long-term battery test analyzer extracts a plurality of split data, which are charge data in a specific SOC (State of Charge) interval, from the test data, divides them into eight preset group data, and can display the eight group data on a single graph plane.

[0086] After that, the long-term battery test analyzer can compare the data values of the group data at the same time point to determine whether there is an abnormality or degradation in a single battery cell.

[0087] According to one embodiment, when the difference between the data values between the group data based on the group data is equal to or greater than a threshold value, the long-term battery test analyzer can determine that defective data (F) occurs. In other words, the long-term battery test analyzer can determine that an abnormality has occurred in a single battery cell.

[0088] Also, according to another embodiment, when there is a difference equal to or greater than a certain standard between the continuous data values of at least one group data and the data values of at least one other group data during a certain period for the long-term battery test analyzer, it can be determined that the corresponding single battery cell has deteriorated.

[0089] On the other hand, when defective data (F) occurs, the long-term battery test analyzer can obtain at least one parameter value using the analysis data. For example, the at least one parameter value may be data including group data for a certain period of time. Thereby, the long-term battery test analyzer can analyze the flow of the defective data based on the at least one parameter value to predict the cause of the abnormality in a single battery cell.

[0090] For example, the above battery long-term test analysis device can analyze the flow of defect data (F) based on at least one parameter value according to the analysis data.

[0091] At this time, the at least one parameter value can be analyzed by the above battery long-term test analysis device or obtained by inputting the analysis data into at least one existing battery analysis device that inspects the analysis data in conventional module units. In other words, the battery long-term test analysis device can obtain analysis data including various groups of data and apply it to a battery performance inspection device that is already inspected in battery module units, enabling various data analyses for a single battery cell.

[0092] According to one embodiment, the above battery long-term test analysis device analyzes the flow of voltage, current, and temperature data for a certain period of time with respect to the defect data (F) to determine whether an abnormality occurs in a single battery cell due to a physical change caused by an external force.

[0093] Also, according to another embodiment, the above battery long-term test analysis device analyzes the data flow with respect to the voltage, current, and temperature data for a certain period of time with respect to the defect data (F) to determine whether an abnormality occurs in a single battery cell due to a chemical change such as resistance or deterioration.

[0094] Hereinafter, in FIGS. 7 and 8, a battery long-term test analysis method for predicting the cause of an abnormality in a single battery cell will be described in detail according to an experimental example of the present invention.

[0095] Performing long-term test analysis using the battery long-term test analysis device of the present invention Using the battery long-term test analysis device of the present invention, charge and discharge data of a single battery cell that has undergone 1000 cycles of charge and discharge was collected.

[0096] Thereafter, the battery long-term test analysis device performed a long-term test analysis of a single battery cell using the group data obtained by dividing the collected charge and discharge data into 12 pieces.

[0097] FIG. 7 is a graph for explaining the occurrence of an abnormality in a single battery cell due to a physical change according to an experimental example of the present invention. More specifically, FIG. 7(a) is a voltage graph over time of group data of a single battery cell, FIG. 7(b) is a current graph over time of group data of a single battery cell, and FIG. 7(c) is a temperature graph over time of group data of a single battery cell.

[0098] Referring to FIG. 7, it can be confirmed that the analysis results of the analysis data using the long-term test analysis apparatus according to an embodiment of the present invention, the flow of voltage, current, and temperature data for the 12th group data within a certain period, is different from the flow of other group data excluding the 12th group data. In other words, only the 12th group data among the group data of single battery cells having the same degree of deterioration under the same conditions shows a pattern of different data flows during a certain period. Accordingly, the long-term test analysis apparatus according to an embodiment of the present invention can determine that a temporary abnormal phenomenon has occurred in a single battery cell due to a physical change by an external force in the above data flow.

[0099] FIG. 8 is a graph for explaining the occurrence of an abnormality in a single battery cell due to a chemical change according to an experimental example of the present invention. More specifically, FIG. 8(a) is a voltage graph over time of group data of a single battery cell, FIG. 8(b) is a current graph over time of group data of a single battery cell, and FIG. 8(c) is a temperature graph over time of group data of a single battery cell.

[0100] Referring to FIG. 8, it can be confirmed that, from the analysis results of the analysis data using the long-term test analysis apparatus according to an embodiment of the present invention, the voltage flow of the group data has dropped overall while the voltage remains the same, and the temperature change is irregular for each group data. Accordingly, the long-term test analysis apparatus according to an embodiment of the present invention can determine that an abnormality has occurred in a single battery cell due to a change in resistance due to deterioration or the like. In other words, the long-term test analysis apparatus according to an embodiment of the present invention can determine that an abnormality has occurred in a single battery cell due to a chemical change.

[0101] The battery long-term test analysis apparatus and method according to the embodiments of the present invention have been described above.

[0102] The battery long-term test analysis apparatus and method according to the embodiments of the present invention can acquire the test data of a single battery cell that has undergone a long-term test inspection, divide the acquired test data, and based on this, acquire analysis data for the long-term test analysis of the corresponding battery cell. Thus, it is possible to analyze the abnormal phenomena of a single battery cell, it is applicable to the conventionally designed battery performance analysis apparatus, and highly reliable analysis results can be expected through various data analyses of a single battery cell.

[0103] The operations of the method according to the embodiments and experimental examples of the present invention can be embodied 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 that can be read by a computer system is stored. Further, the computer-readable recording medium can be distributed to a computer system connected by a network, and a computer-readable program or code can be stored and executed in a distributed manner.

[0104] In addition, the computer-readable recording medium can include a hardware device specially configured to store and execute program instructions, such as a read-only memory (ROM), a random access memory (RAM), a flash memory, etc. The program instructions can include not only machine language code generated by a compiler but also high-level language code that can be executed by a computer using an interpreter or the like.

[0105] Some aspects of the present invention have been described in the context of an apparatus, which can also be illustrated by a corresponding method, where a block or apparatus corresponds to a method step or a feature of a method step. Similarly, aspects described in the context of a method can be illustrated by corresponding blocks or items or features of a corresponding apparatus. Some or all of the method steps can be performed (or used) by a hardware device such as, for example, a microprocessor, a programmable computer, or an electronic circuit. In some embodiments, one or more of the most important method steps can be performed by such a device.

[0106] As described above with reference to the preferred embodiments of the present invention, those skilled in the art will understand that the present invention can be variously modified and changed without departing from the spirit and scope of the present invention described in the following claims.

Explanation of Reference Numerals

[0107] 100: Memory 200: Processor 300: Transceiver 400: Input Interface Device 500: Output Interface Device 600: Storage Device 700: Bus

Claims

1. An apparatus for analyzing the long-term test inspection results of a battery cell, comprising: a memory; and a processor that executes at least one instruction stored in the memory, wherein the at least one instruction includes: an instruction to obtain test data of the battery cell on which the long-term test inspection has been performed, an instruction to obtain analysis data including a plurality of groups of data obtained from the test data, and an instruction to determine whether an abnormality has occurred in the battery cell based on the analysis data, a battery long-term test analysis apparatus.

2. The long-term test inspection includes: an inspection that repeatedly performs a test under the same conditions on the battery cell for a certain period or more, the battery long-term test analysis apparatus according to claim 1.

3. The instruction to obtain the analysis data includes: an instruction to obtain a plurality of divided data from the test data according to a first criterion, and an instruction to group the plurality of divided data according to a second criterion to obtain the analysis data including the plurality of groups of data, the battery long-term test analysis apparatus according to claim 1.

4. The plurality of divided data are: a plurality of data divided according to the first criterion which is the test cycle period of the long-term test inspection, the battery long-term test analysis apparatus according to claim 3.

5. The plurality of divided data are: charge data extracted according to a first criterion which is a specific SOC section for each test cycle period of the long-term test inspection, the battery long-term test analysis apparatus according to claim 3.

6. The second criterion includes: the number of battery cells in a battery module to which the battery cell is applied, the battery long-term test analysis apparatus according to claim 3.

7. The instruction to determine whether an abnormality has occurred in the battery cell includes: an instruction to compare the differences between the plurality of groups of data and, if a data difference equal to or greater than a threshold occurs at a specific time point, determine that an abnormality has occurred in the battery cell, the battery long-term test analysis apparatus according to claim 1.

8. The instruction to determine whether an abnormality has occurred in the battery cell includes: an instruction to compare the variations between the plurality of groups of data and, if a variation in data equal to or greater than a threshold occurs over a certain period, determine that deterioration has occurred in the battery cell, the battery long-term test analysis apparatus according to claim 7.

9. The instruction to determine that an abnormality has occurred in the battery cell further includes: an instruction to predict the cause of the abnormality in the battery cell, the battery long-term test analysis apparatus according to claim 7.

10. The instruction for predicting the cause of the abnormality in the battery cell is an instruction for determining that an abnormality has occurred in the battery cell due to a physical change, and an instruction for determining that an abnormality has occurred in the battery cell due to a chemical change, The battery long-term test analysis apparatus according to claim 9.

11. A method for analyzing the long-term test inspection results of a battery cell, comprising: acquiring test data of the battery cell on which the long-term test inspection has been performed; acquiring analysis data including a plurality of groups of data obtained from the test data; and determining whether an abnormality has occurred in the battery cell based on the analysis data. A battery long-term test analysis method.

12. The long-term test inspection is an inspection that includes repeating a test under the same conditions for a certain period or longer on the battery cell, The battery long-term test analysis method according to claim 11.

13. The step of acquiring the analysis data includes acquiring a plurality of divided data from the test data according to a first criterion; and grouping the plurality of divided data according to a second criterion to obtain the analysis data including the plurality of groups of data, The battery long-term test analysis method according to claim 11.

14. The plurality of divided data are a plurality of data divided according to the first criterion which is the test cycle period of the long-term test inspection, The battery long-term test analysis method according to claim 13.

15. The plurality of divided data are charge data extracted according to a first criterion which is a specific SOC section for each test cycle period of the long-term test inspection, The battery long-term test analysis method according to claim 13.

16. The second criterion is the number of battery cells in the battery module to which the battery cell is applied, The battery long-term test analysis method according to claim 13.

17. The step of determining whether an abnormality has occurred in the battery cell includes comparing the variations between the plurality of groups of data, and determining that an abnormality has occurred in the battery cell when variations in data equal to or greater than a threshold value occur at a specific time point, The battery long-term test analysis method according to claim 11.

18. The step of determining whether an abnormality has occurred in the battery cell includes comparing the variations between the plurality of groups of data, and determining that deterioration has occurred in the battery cell when variations in data equal to or greater than a threshold value occur over a certain period, The battery long-term test analysis method according to claim 17.

19. The step of determining that an abnormality has occurred in the battery cell further includes: The method for analyzing a long-term battery test according to claim 17, further comprising the step of predicting the cause of the abnormality in the battery cell. **Claim 20** The step of predicting the cause of the abnormality in the battery cell includes: Determining that an abnormality has occurred in the battery cell due to a physical change; and The method for analyzing a long-term battery test according to claim 19, including determining that an abnormality has occurred in the battery cell due to a chemical change.

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