Battery diagnosis device and method therefor

Abstract

At least one processor included in a battery diagnosis device according to one embodiment of the present document may: identify a plurality of resting voltages of a plurality of battery cells during a rest period; identify target resting voltages of one battery cell among the plurality of battery cells; identify a voltage deviation for the one battery cell on the basis of a difference between a representative value of resting voltages at a specific time point and a target resting voltage at the specific time point among the target resting voltages; identify a slope obtained on the basis of at least two target resting voltages included in a designated time range including the specific time point among the target resting voltages; and diagnose a state of the one battery cell on the basis of the slope and the voltage deviation.

Description

Battery diagnostic device and method

[0001] Cross-citation with related applications

[0002] This application claims the benefit of priority based on Korean Patent Application No. 10-2024-0155618 filed on November 5, 2024, and Korean Patent Application No. 10-2025-0064875 filed on May 19, 2025, and includes all contents disclosed in the documents of said patent applications as part of this specification.

[0003] Technology field

[0004] The embodiments disclosed in this document relate to a battery diagnostic device and a method thereof.

[0005] Recently, active research and development on secondary batteries has been underway. Here, secondary batteries are rechargeable batteries that can be interpreted to encompass conventional Ni / Cd and Ni / MH batteries, as well as recent lithium-ion batteries. With their scope of application expanding to include power sources for electric vehicles, they are garnering attention as a next-generation energy storage medium.

[0006] With the proliferation of various electronic devices due to the Fourth Industrial Revolution, battery usage is rapidly increasing. Batteries are gaining prominence as an essential energy source in various fields, such as electric vehicles, portable electronic devices, and renewable energy storage systems. Consequently, the importance of battery condition diagnostic technology to improve battery performance and reliability is growing.

[0007] In particular, if an internal short circuit is not detected and the battery continues to be used, the short circuit may gradually spread, posing a risk of fire. Accordingly, technologies for monitoring short circuits using battery diagnostic devices are being developed to ensure battery reliability and enhance safety.

[0008] According to the embodiments disclosed in this document, the present invention aims to provide a battery management device and a method for improving the accuracy of diagnosing the condition of a battery cell.

[0009] According to the embodiments disclosed in this document, the present invention aims to provide a battery management device and a method that reduce the risk of fire by diagnosing whether a battery cell is short-circuited based on the voltage profile of the battery cell.

[0010] According to the embodiments disclosed in this document, a battery management device and a method for diagnosing whether a battery cell is short-circuited through a change in the voltage profile according to the length of the idle period are provided.

[0011] The technical problems of this document are not limited to those mentioned above, and other unmentioned technical problems will be clearly understood by those skilled in the art from the descriptions below.

[0012] A battery diagnostic device according to one embodiment of the present document may include a memory for storing at least one instruction and at least one processor for executing said at least one instruction.

[0013] According to one embodiment, the at least one processor identifies a plurality of idle voltages of a plurality of battery cells during an idle period after the charging or discharging of a plurality of battery cells is completed, identifies target idle voltages of any one of the plurality of battery cells, identifies a voltage deviation for any one of the battery cells based on the difference between a representative value of the idle voltages at a specific point in time among the plurality of idle voltages and the target idle voltage at the specific point in time among the target idle voltages, identifies a slope obtained based on at least two or more target idle voltages included in a specified time range including the specific point in time among the target idle voltages, and diagnoses the state of any one of the battery cells based on the slope and the voltage deviation.

[0014] According to one embodiment, the at least one processor can diagnose an abnormality in any one of the battery cells corresponding to the slope based on the slope deviating from a reference range.

[0015] According to one embodiment, the at least one processor can identify a first value corresponding to a designated first percentile among slopes corresponding to each of the plurality of battery cells at the specific point in time and a second value corresponding to the designated second percentile, and identify the reference range based on the difference between the first value and the second value.

[0016] According to one embodiment, the at least one processor can identify the reference range based on a value obtained by subtracting from the first value a value obtained by calculating a multiple specified for the difference between the first value and the second value, and a value obtained by adding the calculated value to the second value.

[0017] According to one embodiment, the at least one processor can diagnose an abnormality in any one of the battery cells based on the voltage deviation deviating from a reference deviation range.

[0018] According to one embodiment, the at least one processor can identify the representative value based on the median value of the resting voltages at a specific point in time among the plurality of resting voltages.

[0019] According to one embodiment, the at least one processor can identify the slope through regression analysis based on at least two target resting voltages included in a specified time range including the specific time point among the target resting voltages of any one battery cell.

[0020] A battery diagnostic method according to another embodiment of the present document may include: identifying a plurality of idle voltages of a plurality of battery cells during an idle period after the charging or discharging of a plurality of battery cells is completed; identifying target idle voltages of any one of the plurality of battery cells; identifying a voltage deviation for any one of the battery cells based on the difference between a representative value of the idle voltages at a specific point in time among the plurality of idle voltages and the target idle voltage at the specific point in time among the target idle voltages; identifying a slope obtained based on at least two or more target idle voltages included in a specified time range including the specific point in time among the target idle voltages; and diagnosing the state of any one of the battery cells based on the slope and the voltage deviation.

[0021] According to one embodiment, the operation of diagnosing the state of any one battery cell based on the slope and the voltage deviation may include the operation of diagnosing an abnormality of any one battery cell corresponding to the slope based on the slope deviating from a reference range.

[0022] According to one embodiment, the operation of diagnosing an abnormality of any one battery cell corresponding to the slope based on the slope deviating from a reference range may include the operation of identifying a first value corresponding to a designated first percentile and a second value corresponding to a designated second percentile among the slopes corresponding to each of the plurality of battery cells at a specific point in time, and the operation of identifying the reference range based on the difference between the first value and the second value.

[0023] According to one embodiment, the operation of identifying the reference range based on the difference between the first value and the second value may include the operation of identifying the reference range based on a value obtained by subtracting from the first value a value obtained by calculating a multiple specified for the difference between the first value and the second value, and a value obtained by adding the calculated value to the second value.

[0024] According to one embodiment, the operation of diagnosing the state of any one battery cell based on the slope and the voltage deviation may include the operation of diagnosing an abnormality of any one battery cell based on the voltage deviation deviating from a reference deviation range.

[0025] According to one embodiment, the operation of identifying a voltage deviation for any one battery cell based on the difference between a representative value of resting voltages at a specific point in time among the plurality of resting voltages and a target resting voltage at a specific point in time among the target resting voltages may include the operation of identifying the representative value based on the median value of the resting voltages at a specific point in time among the plurality of resting voltages.

[0026] According to one embodiment, the operation of identifying a slope obtained based on at least two target resting voltages included in a specified time range including the specific point in time among the target resting voltages may include the operation of identifying the slope through regression analysis based on at least two target resting voltages included in a specified time range including the specific point in time among the target resting voltages of any one battery cell.

[0027] This technology can improve the accuracy of battery cell condition diagnosis.

[0028] In addition, this technology can reduce the risk of fire by diagnosing whether a battery cell is short-circuited based on the voltage profile of the battery cell.

[0029] In addition, this technology can diagnose whether a battery cell is short-circuited through changes in the voltage profile according to the length of the rest period.

[0030] In addition, various effects that can be identified directly or indirectly through this document may be provided.

[0031] FIG. 1 is a block diagram showing a battery pack in a battery diagnostic device and a battery diagnostic method according to one embodiment of the present document.

[0032] FIG. 2 is a block diagram showing the configuration of a battery diagnostic device in a battery diagnostic device and a battery diagnostic method according to one embodiment of the present document.

[0033] FIG. 3 illustrates examples of slope and voltage deviation over time in a battery diagnostic device and a battery diagnostic method according to one embodiment of the present document.

[0034] FIG. 4 illustrates an example of a reference range in a battery diagnostic device and a battery diagnostic method according to one embodiment of the present document.

[0035] FIG. 5 illustrates an example of the flow of operation of a battery diagnostic device that diagnoses abnormalities in a battery cell according to whether the slope deviates from a reference range and whether the voltage deviation deviates from a reference deviation range, in a battery diagnostic device and a battery diagnostic method according to one embodiment of the present document.

[0036] FIG. 6 illustrates an example of the flow of operation of a battery diagnostic device that diagnoses the condition of a battery cell based on a slope and a voltage deviation in a battery diagnostic device and a battery diagnostic method according to one embodiment of the present document.

[0037] FIG. 7 is a block diagram showing the hardware configuration of a computing system performing a battery diagnostic method in a battery diagnostic device and a battery diagnostic method according to one embodiment of the present document.

[0038] Some embodiments disclosed herein are described below with reference to the various embodiments of the accompanying drawings. However, this is not intended to limit the technology to specific embodiments and should be understood to include various modifications, equivalents, and / or alternatives to embodiments of the technology.

[0039] It should be noted that when assigning reference numerals to the components of each drawing, the same components are assigned the same reference numeral whenever possible, even if they are shown in different drawings. Furthermore, in describing the various embodiments disclosed in this document, if it is determined that a detailed description of related known configurations or functions would hinder understanding of the embodiments of the present invention, such detailed description is omitted. The singular form of a noun corresponding to an item may include one or more items unless the relevant context clearly indicates otherwise.

[0040] In describing the components of the embodiments of this document, terms such as first, second, A, B, (a), (b), etc., may be used. These terms are intended merely to distinguish the components from other components and do not limit the essence, order, or sequence of the components. Furthermore, unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as generally understood by those skilled in the art to which the embodiments disclosed in this document pertain. 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 technology, and should not be interpreted in an ideal or overly formal sense unless explicitly defined in this application.

[0041] Additionally, in this disclosure, expressions of "greater than" or "less than" may be used to determine whether a specific condition is satisfied or fulfilled; however, this is merely for the purpose of expressing an example and does not exclude descriptions of "greater than" or "less than." Conditions described as "greater than" may be replaced with "greater than," conditions described as "less than" may be replaced with "less than," and conditions described as "greater than and less than" may be replaced with "greater than and less than." Furthermore, "A" to "B" below refer to at least one of the elements from A (including A) to B (including B).

[0042] In this document, each of the phrases such as "A or B", "at least one of A and B", "at least one of A or B", "A, B or C", "at least one of A, B and C", and "at least one of A, B, or C" may include any one of the items listed together in the corresponding phrase, or all possible combinations thereof.

[0043] In this document, where any component (e.g., 1) is referred to as being “connected,” “coupled,” or “joined” to another component (e.g., 2), with or without the terms “functionally” or “communicationally,” or where it is referred to as “coupled” or “connected,” it means that the component may be connected to the other component directly (e.g., via a wire), wirelessly, or through a third component.

[0044] According to one embodiment, the method according to the various embodiments disclosed herein may be provided as included in a computer program product. The computer program product may be traded between a seller and a buyer as a product. The computer program product may be distributed in the form of a device-readable storage medium (e.g., compact disc read-only memory (CD-ROM)), or distributed online (e.g., download or upload) through an application store or directly between two user devices. In the case of online distribution, at least a portion of the computer program product may be temporarily stored or temporarily created on a device-readable storage medium, such as the memory of a manufacturer's server, an application store's server, or a relay server.

[0045] According to various embodiments, each component (e.g., module or program) of the described components may include a singular or multiple entities, and some of the multiple entities may be separated and placed in other components. According to various embodiments, at least one of the aforementioned components or operations may be omitted, or at least one other component or operation may be added. Generally or additionally, multiple components (e.g., module or program) may be integrated into a single component. In this case, the integrated component may perform at least one function of each of the multiple components in the same or similar manner as it was performed by the corresponding component among the multiple components prior to integration. According to various embodiments, operations performed by a module, program, or other component may be executed sequentially, in parallel, iteratively, or heuristically, or one or more of the operations may be executed in a different order, omitted, or at least one other operation may be added.

[0046] Hereinafter, embodiments of the present document will be described in detail with reference to FIGS. 1 to 7.

[0047] FIG. 1 is a block diagram showing a battery pack in a battery diagnostic device and a battery diagnostic method according to one embodiment of the present document.

[0048] Referring to FIG. 1, the battery pack (1) may include a battery unit (12), a sensor unit (14), a switching unit (16), and a battery management system (BMS) (20). At this time, the battery pack (1) may be equipped with a plurality of battery units (12), sensor units (14), switching units (16), and battery management systems (20).

[0049] According to one embodiment, the battery unit (12) can supply power to a target device (not shown). To this end, the battery unit (12) may be electrically connected to the target device. Here, the target device may include an electrical, electronic, or mechanical device that operates by receiving power from the battery pack (1). For example, the target device may be an electric vehicle (EV) or an energy storage system (ESS), but is not limited thereto.

[0050] According to one embodiment, the battery unit (12) may include at least one battery cell (10) capable of charging and discharging. Here, the battery cell (10) may be a basic unit of a battery cell capable of charging and discharging electrical energy. For example, the battery cell (10) may be a lithium-ion (Li-ion) battery, a lithium-ion polymer (Li-ion polymer) battery, a nickel-cadmium (Ni-Cd) battery, a nickel-hydrogen (Ni-MH) battery, etc., but is not limited thereto.

[0051] According to one embodiment, a plurality of battery units (12) may be connected in series or in parallel. For example, a battery unit (12) may be a battery module, a battery bank, or a set of battery cells (cell-to-pack structure).

[0052] According to one embodiment, the sensor unit (14) can obtain information related to the battery unit (12). According to one embodiment, the sensor unit (14) can obtain values ​​(or information) related to the state of each of the battery unit (12) or battery cells (10). In one embodiment, the values ​​related to the state may include at least one value for the voltage, current, resistance, state of charge (SOC), state of health (SOH), or temperature of the battery cell, or a combination thereof.

[0053] According to one embodiment, the sensor unit (14) can provide information of each of the plurality of battery units (12) to the battery management system (20).

[0054] According to one embodiment, the switching unit (16) may include an element for controlling the current flow for charging or discharging the battery unit (12). For example, the switching unit (16) may include at least one relay and / or magnetic contactor, etc., depending on the specifications of the battery pack (1).

[0055] According to one embodiment, a battery management system (BMS) (20) can monitor the voltage, current, temperature, etc. of a battery pack (1) and control or manage the battery pack (1) to prevent overcharging and over-discharging. For example, the battery management system (20) may include a plurality of terminals as an interface for receiving values ​​of the various parameters described above, and a circuit connected to these terminals to perform processing of the received values. Additionally, the battery management system (20) may control a sensor unit (14) and / or a switching unit (16). For example, the battery management system (20) may be connected to a plurality of battery units (12) to monitor the status of each of the plurality of battery units (12) and control the ON / OFF of relays or contactors.

[0056] According to one embodiment, the operation of the battery management system (20) can be performed by a battery management system (BMS) in the vehicle, as well as by various devices such as a server, cloud, charger, or discharger.

[0057] The upper controller (2) can transmit control signals for a plurality of battery units (12) to the battery management system (20). Accordingly, the operation of the battery management system (20) can be controlled based on the signals applied from the upper controller (2).

[0058] According to one embodiment, the battery management system (20) may include the battery diagnostic device (201) of FIG. 2. According to another embodiment, the battery management system (20) may be a different system from the battery diagnostic device (201) of FIG. 2. That is, the battery diagnostic device (201) of FIG. 2 may be included in the battery pack (1) or may be configured as another device outside the battery pack (1). For convenience of explanation, the following description assumes that the battery diagnostic device (201) is configured as another device outside the battery pack (1). Furthermore, the operation of the battery diagnostic device (201) below may be performed by a battery management system (BMS) within the vehicle, as well as by various devices such as a server, cloud, charger, or discharger.

[0059] According to one embodiment, the battery management system (20) can monitor some of the battery unit assemblies among all the battery unit assemblies. In other words, the battery management system (20) can monitor the status of the battery cells included in some of the battery unit assemblies.

[0060] The battery management system (20) can diagnose that a short circuit has occurred in one of the battery cells based on a voltage deviation for one of the battery cells and a slope obtained based on at least two target idle voltages.

[0061] FIG. 2 is a block diagram showing the configuration of a battery diagnostic device in a battery diagnostic device and a battery diagnostic method according to one embodiment of the present document.

[0062] FIG. 3 illustrates examples of slope and voltage deviation over time in a battery diagnostic device and a battery diagnostic method according to one embodiment of the present document.

[0063] Referring to FIGS. 2 and FIGS. 3, the battery diagnostic device (201) may include a memory (203) and at least one processor (205). The memory (203) may store at least one instruction. At least one processor (205) may execute at least one instruction. A graph (301) may represent the resting voltage of each of a plurality of battery cells and a slope obtained based on the resting voltages of a specific battery cell. First lines (303) may represent the deviation of the resting voltage of each of the plurality of battery cells. Second lines (305) may represent the slope obtained based on the resting voltages of a specific battery cell.

[0064] According to one embodiment, the battery diagnostic device (201) can diagnose a battery cell that self-discharges due to an internal short circuit based on the idle voltages of the battery cells. When using a battery containing a battery cell that has an internal short circuit, the possibility of fire may increase. Therefore, the battery diagnostic device (201) needs to diagnose the condition of the battery cells contained in the battery to prevent fire.

[0065] If a short circuit occurs within a battery cell, the idle voltage of the short-circuited battery cell may be lower than that of a battery cell without a short circuit. Therefore, the occurrence of a short circuit can be diagnosed through the battery cell's idle voltage.

[0066] According to one embodiment, at least one processor (205) of the battery diagnostic device (201) can identify multiple idle voltages of multiple battery cells during an idle period after the charging or discharging of multiple battery cells is completed.

[0067] According to one embodiment, at least one processor (205) of the battery diagnostic device (201) can identify target idle voltages of any one of the plurality of battery cells. The target idle voltages of any one battery cell may include idle voltages of any one battery cell over time.

[0068] For example, at least one processor (205) of the battery diagnostic device (201) can identify the idle voltages of any one battery cell at specific time intervals (e.g., about 2 hours).

[0069] According to one embodiment, at least one processor (205) of the battery diagnostic device (201) can identify a voltage deviation (e.g., first lines (303)) for one battery cell based on the difference between a representative value of resting voltages at a specific point in time among a plurality of resting voltages and a target resting voltage at a specific point in time among target resting voltages.

[0070] The representative value of the resting voltages at a specific point in time among the plurality of resting voltages may include the median or average value of the resting voltages at a specific point in time among the plurality of resting voltages.

[0071] For example, at least one processor (205) of the battery diagnostic device (201) can identify a voltage deviation for one battery cell based on the value obtained by subtracting the representative value of the resting voltages at a specific point in time among the plurality of resting voltages from the target resting voltage at a specific point in time among the target resting voltages.

[0072] For example, the first lines (303) may represent the voltage deviation over time of each of the plurality of battery cells.

[0073] According to one embodiment, at least one processor (205) of the battery diagnostic device (201) can diagnose an abnormality in any one battery cell corresponding to a voltage deviation that deviates from the reference deviation range based on the voltage deviation deviating from the reference deviation range.

[0074] According to one embodiment, at least one processor (205) of the battery diagnostic device (201) can identify a slope obtained based on at least two target idle voltages included in a specified time range including a specific point in time among the target idle voltages.

[0075] For example, at least one processor (205) of the battery diagnostic device (201) can identify the idle voltages of one battery cell at specific time intervals (e.g., about 2 hours). At least one processor (205) of the battery diagnostic device (201) can identify the slope of a graph (e.g., second line (305)) obtained through regression analysis based on at least two target idle voltages included in a specified time range (e.g., about 24 hours) that includes a specific point in time among the target idle voltages of one battery cell. However, the embodiments of this document may not be limited thereto. The regression analysis may include linear regression analysis.

[0076] According to one embodiment, at least one processor (205) of the battery diagnostic device (201) may not be able to diagnose an abnormality in the battery cell even though the slope related to the voltage of the battery cell has deviated from the reference range, because in the first section (307), the voltage deviation of the battery cell does not deviate from the reference deviation range.

[0077] According to one embodiment, at least one processor (205) of the battery diagnostic device (201) can diagnose an abnormality in the battery cell based on the fact that, in the second section (309), the voltage deviation of the battery cell deviates from the reference deviation range and the slope associated with the voltage of the battery cell deviates from the reference range.

[0078] The first section (307) may include a section from about 0 hours to about 24 hours after entering the rest period, a section from about 24 hours to about 48 hours, and a section from about 48 hours to about 72 hours.

[0079] The second section (309) may include a period from about 72 hours to about 96 hours after entering the rest period, and a period from about 96 hours to about 120 hours.

[0080] According to one embodiment, at least one processor (205) of the battery diagnostic device (201) can diagnose an abnormality in any one battery cell corresponding to the slope based on the slope deviating from a reference range. A method for identifying the reference range can be described below with reference to FIG. 4.

[0081] FIG. 4 illustrates an example of a reference range in a battery diagnostic device and a battery diagnostic method according to one embodiment of the present document.

[0082] Referring to FIG. 4, the graph (401) may represent a reference range. The representative value (403) may represent a value representing the resting voltages at a specific point in time among a plurality of resting voltages. The first value (405) may represent a value corresponding to a designated first percentile among the slopes corresponding to each of the plurality of battery cells at a specific point in time. The second value (407) may represent a value corresponding to a designated first percentile among the slopes corresponding to each of the plurality of battery cells at a specific point in time.

[0083] The lower limit value (411) is a value identified based on the first value (405) and the second value (407) and may represent the lower limit value of the reference range. The upper limit value (413) is a value identified based on the first value (405) and the second value (407) and may represent the upper limit value of the reference range.

[0084] According to one embodiment, at least one processor (205) of the battery diagnostic device (201) can identify a first value (405) corresponding to a designated first percentile (e.g., upper approximately 75%) among slopes corresponding to each of a plurality of battery cells at a specific point in time.

[0085] According to one embodiment, at least one processor (205) of the battery diagnostic device (201) can identify a second value (407) corresponding to a designated second percentile (e.g., upper approximately 25%) among slopes corresponding to each of a plurality of battery cells at a specific point in time.

[0086] According to one embodiment, at least one processor (205) of the battery diagnostic device (201) can identify a lower limit value (411) based on the value obtained by subtracting from the first value (405) a value calculated by multiplying the difference between the first value (405) and the second value (407) by a specified multiplier.

[0087] According to one embodiment, at least one processor (205) of the battery diagnostic device (201) can identify an upper limit value (413) based on a value obtained by adding a value to the second value (407) a value calculated by multiplying the difference between the first value (405) and the second value (407) by a specified multiplier.

[0088] According to one embodiment, at least one processor (205) of the battery diagnostic device (201) can identify a reference range based on a lower limit value (405) and an upper limit value (407).

[0089] FIG. 5 illustrates an example of the flow of operation of a battery diagnostic device that diagnoses abnormalities in a battery cell according to whether the slope deviates from a reference range and whether the voltage deviation deviates from a reference deviation range, in a battery diagnostic device and a battery diagnostic method according to one embodiment of the present document.

[0090] In the following, it is assumed that at least one processor (205) included in the battery diagnostic device (201) of FIG. 2 performs the process of FIG. 5. Additionally, in the description of FIG. 5, the operation described as being performed by the battery diagnostic device (201) can be understood as being controlled by at least one processor (205) included in the battery diagnostic device (201).

[0091] In the first operation (501), at least one processor (205) included in the battery diagnostic device (201) according to one embodiment can identify the idle voltage of a plurality of battery cells.

[0092] In the second operation (503), at least one processor (205) included in the battery diagnostic device (201) according to one embodiment can identify a reference range based on a representative value of the idle voltage at a specific point in time of each of the plurality of battery cells.

[0093] In the third operation (505), at least one processor (205) included in the battery diagnostic device (201) according to one embodiment can identify the slope of each of the plurality of idle voltages.

[0094] In the fourth operation (505), at least one processor (205) included in the battery diagnostic device (201) according to one embodiment can identify the slope of each of the plurality of idle voltages.

[0095] In the fifth operation (507), at least one processor (205) included in the battery diagnostic device (201) according to one embodiment can identify a reference deviation range.

[0096] In the sixth operation (509), at least one processor (205) included in the battery diagnostic device (201) according to one embodiment can identify whether any one of the voltage deviations among the plurality of voltage deviations is outside the reference deviation range and whether any one of the slopes among the plurality of slopes is outside the reference range.

[0097] If any one of the multiple voltage deviations falls within the reference deviation range, or if any one of the multiple slopes falls within the reference range, at least one processor (205) included in the battery diagnostic device (201) can perform the seventh operation (511). If any one of the multiple voltage deviations falls outside the reference deviation range and any one of the multiple slopes falls outside the reference range, at least one processor (205) included in the battery diagnostic device (201) can perform the eighth operation (513).

[0098] In the seventh operation (511), at least one processor (205) included in the battery diagnostic device (201) according to one embodiment can operate the battery. The battery may include battery cells.

[0099] In the eighth operation (513), at least one processor (205) included in the battery diagnostic device (201) according to one embodiment can diagnose an abnormality in a battery cell included in the battery.

[0100] FIG. 6 illustrates an example of the flow of operation of a battery diagnostic device that diagnoses the condition of a battery cell based on a slope and a voltage deviation in a battery diagnostic device and a battery diagnostic method according to one embodiment of the present document.

[0101] In the following, it is assumed that at least one processor (205) included in the battery diagnostic device (201) of FIG. 2 performs the process of FIG. 6. Additionally, in the description of FIG. 6, the operation described as being performed by the battery diagnostic device (201) can be understood as being controlled by at least one processor (205) included in the battery diagnostic device (201).

[0102] In the first operation (601), at least one processor (205) included in the battery diagnostic device (201) according to one embodiment can identify a plurality of idle voltages of a plurality of battery cells during an idle period after the charging or discharging of a plurality of battery cells is completed.

[0103] In the second operation (603), at least one processor (205) included in the battery diagnostic device (201) according to one embodiment can identify target idle voltages of at least one battery cell among a plurality of battery cells.

[0104] In the third operation (605), at least one processor (205) included in the battery diagnostic device (201) according to one embodiment can identify a voltage deviation for any one battery cell based on the difference between the representative value of the idle voltages at a specific point in time among the plurality of idle voltages and the target idle voltage at a specific point in time among the target idle voltages.

[0105] In the fourth operation (607), at least one processor (205) included in the battery diagnostic device (201) according to one embodiment can identify a slope obtained based on at least two target idle voltages included in a specified time range including a specific point in time among the target idle voltages.

[0106] In the fifth operation (609), the condition of any one battery cell can be diagnosed based on the slope and voltage deviation.

[0107] FIG. 7 is a block diagram showing the hardware configuration of a computing system performing a battery diagnostic method in a battery diagnostic device and a battery diagnostic method according to one embodiment of the present document.

[0108] Referring to FIG. 7, a computing system (700) according to one embodiment disclosed in this document may include an MCU (710), memory (720), an input / output I / F (730), and a communication I / F (740).

[0109] The MCU (710) may be one or more processors that execute various programs stored in memory (720) (e.g., battery cell data collection program, graph generation program, data analysis program, data decomposition algorithm, normalization program, battery cell diagnosis program, etc.), process various information including characteristic data of the battery cell, potential variables, etc. through these programs, and perform the functions of the battery diagnosis device (201) shown in FIGS. 1 to 6.

[0110] The memory (720) can store various programs such as a battery cell data collection program, a graph generation program, a data analysis program, a data decomposition algorithm, a normalization program, and a battery cell diagnosis program.

[0111] These memories (720) may be provided in multiple quantities as needed. The memories (720) may be volatile memories or non-volatile memories. As volatile memories, the memory (720) may use RAM, DRAM, SRAM, etc. As non-volatile memories, the memory (720) may use ROM, PROM, EAROM, EPROM, EEPROM, flash memory, etc. The examples of the listed memories (720) are merely examples and are not limited to these examples.

[0112] The input / output I / F (730) can provide an interface that enables data transmission and reception between an input device (not shown), such as a keyboard, mouse, or touch panel, and an output device (not shown), such as a display, and the MCU (710).

[0113] The communication I / F (740) is configured to transmit and receive various data with a server and may be various devices capable of supporting wired or wireless communication. For example, the battery diagnostic device (201) can transmit and receive various information, including the shape model of a battery cell, from a separately provided external server via the communication I / F (740).

[0114] In this way, a computer program according to one embodiment disclosed in this document may be implemented as a module that performs, for example, the functions illustrated in FIG. 2, by being written to memory (720) and processed by an MCU (710).

[0115] As described above, even though all components constituting the embodiments disclosed in this document have been described as being combined or operating in combination, the embodiments disclosed in this document are not necessarily limited to such embodiments. That is, within the scope of the purposes of the embodiments disclosed in this document, all components may be selectively combined in one or more ways to operate.

[0116] Furthermore, terms such as "include," "compose," or "have" as described above, unless specifically stated otherwise, mean that the relevant component may be inherent; thus, they should be interpreted as allowing for the inclusion of additional components rather than excluding them. All terms, including technical or scientific terms, have the same meaning as generally understood by those skilled in the art to which the embodiments disclosed in this document pertain, unless otherwise defined. Commonly used terms, such as those defined in advance, should be interpreted in accordance with their contextual meanings in the relevant technology and, unless explicitly defined in this document, should not be interpreted in an ideal or overly formal sense.

[0117] The foregoing disclosure outlines the features of several embodiments to enable those skilled in the art to better understand the aspects of the present disclosure. Those skilled in the art will understand that the present disclosure can be readily used as a basis for designing or modifying other structures to perform the same purpose or achieve the same advantages as the embodiments introduced herein. Furthermore, those skilled in the art will recognize that such equivalent configurations do not depart from the scope of the present disclosure and that various changes, substitutions, and modifications may be made in the present specification without departing from the scope of the present disclosure.

Claims

1. Memory storing at least one instruction; and It includes at least one processor that executes the above at least one instruction, and The above at least one processor is, Identifying multiple resting voltages of multiple battery cells during a resting period after the charging or discharging of multiple battery cells is completed, and Identifying the target idle voltages of any one of the plurality of battery cells, and Identifying a voltage deviation for any one of the battery cells based on the difference between the representative value of the idle voltages at a specific point in time among the plurality of idle voltages and the target idle voltage at the specific point in time among the target idle voltages, Identify a slope obtained based on at least two target resting voltages included in a specified time range including the specific point in time among the above target resting voltages, and Configured to diagnose the state of any one of the battery cells based on the above slope and the above voltage deviation, Battery diagnostic device.

2. In Claim 1, The above at least one processor is, Based on the fact that the above slope deviates from a reference range, configured to diagnose an abnormality in any one of the above battery cells corresponding to the above slope, Battery diagnostic device.

3. In Claim 2, The above at least one processor is, Identifying a first value corresponding to a designated first percentile and a second value corresponding to a designated second percentile among the slopes corresponding to each of the plurality of battery cells at the aforementioned specific point in time, Configured to identify the reference range based on the difference between the first value and the second value. Battery diagnostic device.

4. In Claim 3, The above at least one processor is, A reference range configured to identify the reference range based on a value obtained by subtracting from the first value a value obtained by calculating a value specified as a multiple of the difference between the first value and the second value, and a value obtained by adding the calculated value to the second value. Battery diagnostic device.

5. In Claim 1, The above at least one processor is, Configured to diagnose an abnormality in any one of the battery cells based on the above voltage deviation deviating from a reference deviation range, Battery diagnostic device.

6. In Claim 1, The above at least one processor is, Configured to identify the representative value based on the median value of the resting voltages at a specific point in time among the plurality of resting voltages above. Battery diagnostic device.

7. In Claim 1, The above at least one processor is, A configuration for identifying the slope through regression analysis based on at least two target resting voltages included in a specified time range including the specific point in time among the target resting voltages of any one of the battery cells, Battery diagnostic device.

8. An operation to identify multiple resting voltages of multiple battery cells during a resting period after the charging or discharging of multiple battery cells is completed; An operation to identify target idle voltages of any one of the plurality of battery cells; An operation to identify a voltage deviation for any one of the battery cells based on the difference between the representative value of the resting voltages at a specific point in time among the plurality of resting voltages and the target resting voltage at the specific point in time among the target resting voltages; An operation to identify a slope obtained based on at least two target resting voltages included in a specified time range including the specific point in time among the above target resting voltages; and A method comprising diagnosing the state of any one of the battery cells based on the slope and the voltage deviation. Battery diagnostic method.

9. In Claim 8, Based on the above slope and the above voltage deviation, the operation of diagnosing the state of any one of the battery cells is, Based on the fact that the above slope deviates from a reference range, the operation of diagnosing an abnormality in any one of the battery cells corresponding to the above slope, Battery diagnostic method.

10. In Claim 9, Based on the fact that the above slope deviates from the reference range, the operation of diagnosing an abnormality in any one of the battery cells corresponding to the above slope is, An operation to identify a first value corresponding to a designated first percentile and a second value corresponding to a designated second percentile among the slopes corresponding to each of the plurality of battery cells at the aforementioned specific point in time; and The operation of identifying the reference range based on the difference between the first value and the second value, Battery diagnostic method.

11. In Claim 10, The operation of identifying the reference range based on the difference between the first value and the second value is, The method includes an operation of identifying the reference range based on a value obtained by subtracting from the first value a value obtained by calculating a value specified as a multiple of the difference between the first value and the second value, and a value obtained by adding the calculated value to the second value. Battery diagnostic method.

12. In claim 8, Based on the above slope and the above voltage deviation, the operation of diagnosing the state of any one of the battery cells is, The operation of diagnosing an abnormality in any one of the battery cells based on the above voltage deviation deviating from a reference deviation range, Battery diagnostic method.

13. In claim 8, The operation of identifying a voltage deviation for any one of the battery cells based on the difference between the representative value of the idle voltages at a specific point in time among the plurality of idle voltages and the target idle voltage at the specific point in time among the target idle voltages is, The method includes an operation of identifying the representative value based on the median value of the resting voltages at a specific point in time among the plurality of resting voltages. Battery diagnostic method.

14. In Claim 8, The operation of identifying a slope obtained based on at least two target resting voltages included in a specified time range including the specific point in time among the above target resting voltages is, The method includes the operation of identifying the slope through regression analysis based on at least two target resting voltages included in a specified time range including the specific point in time among the target resting voltages of any one of the battery cells. Battery diagnostic method.

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