Apparatus for diagnosing battery and operating method thereof

Abstract

A battery diagnostic device according to one embodiment disclosed in this document may include an acquisition unit for acquiring time-series voltage data of a plurality of battery cells, a conversion unit for converting the time-series voltage data into standard score (Z-score) data in units of cell groups, a calculation unit for calculating a cell diagnostic feature value based on the standard score data, and a diagnostic unit for diagnosing abnormalities in the plurality of battery cells based on the calculated cell diagnostic feature value.

Description

Technology Field

[0001] The embodiments disclosed in this document relate to a battery diagnostic device and a method of operating the same. Background Technology

[0002] Recently, research and development on rechargeable batteries has been actively underway. Here, the term "rechargeable battery" refers to a battery capable of recharging and discharging, encompassing conventional Ni / Cd and Ni / MH batteries as well as the more recent lithium-ion batteries. Among rechargeable batteries, lithium-ion batteries have the advantage of significantly higher energy density compared to conventional Ni / Cd and Ni / MH batteries. Furthermore, lithium-ion batteries can be manufactured in a compact and lightweight manner, making them suitable for use as power sources for mobile devices. Recently, their scope of application has expanded to include electric vehicles, drawing attention as a next-generation energy storage medium.

[0003] In addition, the secondary battery can generally be used as a battery pack comprising a battery module in which a plurality of battery cells are connected in series and / or parallel. Also, the secondary battery can be used as a battery rack comprising a plurality of battery modules and a rack frame that accommodates these battery modules.

[0004] Such battery cells, battery modules, battery packs, or battery racks can be utilized in various devices. For example, batteries can be used in mobile devices such as mobile phones, laptop computers, smartphones, and smart pads, as well as in fields such as electric vehicles (EVs, HEVs, PHEVs) and large-capacity energy storage systems (ESS).

[0005] The status and operation of these batteries can be managed and controlled by a battery management system (BMS). The battery management system can be included together with the batteries within a single device.

[0006] In addition, the battery management system can manage and control the battery while being spaced apart from the device containing the battery. For example, the battery management system may be implemented as a separate server device. In this case, the battery management system can collect battery data and vehicle data from a vehicle, etc., and manage and control the battery by utilizing the collected data. (Patent Document 1) KR 2565272 B1 (Patent Document 2) KR 2022-0032471 A The problem to be solved

[0007] Meanwhile, if a battery is defective, the risk of damage to devices containing the battery (e.g., EV, ESS) may increase. Accordingly, there is a need for a method to detect abnormal conditions of the battery and reduce the risk of damage to devices containing the battery.

[0008] The embodiments disclosed in this document may provide a battery diagnostic device and a method of operation thereof capable of calculating a cell diagnostic feature value to be used for diagnosing a battery cell based on standard score data converted from time-series voltage data of a battery cell.

[0009] The technical problems of the embodiments disclosed in 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 description below. means of solving the problem

[0010] A battery diagnostic device according to one embodiment disclosed in this document may include an acquisition unit for acquiring time-series voltage data of a plurality of battery cells, a conversion unit for converting the time-series voltage data into standard score (Z-score) data in units of cell groups, a calculation unit for calculating a cell diagnostic feature value based on the standard score data, and a diagnostic unit for diagnosing abnormalities in the plurality of battery cells based on the calculated cell diagnostic feature value.

[0011] In a battery diagnostic device according to one embodiment disclosed in this document, the acquisition unit acquires time-series voltage data satisfying a specified condition, and the specified condition may include at least one of a first condition in which the time length of the data is greater than or equal to a specified time length, or a second condition in which the State of Charge (SOC) of the battery cell is greater than or equal to a specified SOC.

[0012] In a battery diagnostic device according to one embodiment disclosed in this document, the conversion unit can convert the time series voltage data into the standard score data based on the following mathematical formula 1.

[0013] [Mathematical Formula 1]

[0014]

[0015] (In mathematical formula 1, Z i is the standard score of the i-th battery cell among the plurality of battery cells above, V cells,i is the voltage of the i-th battery cell above, mean(V cell group ) is the average voltage of a cell group including the i-th battery cell, std(V cell group ) is the voltage standard deviation of the battery cells included in the above cell group.)

[0016] In a battery diagnostic device according to one embodiment disclosed in this document, the calculation unit calculates a target feature value by cumulatively summing the absolute value of the difference between the standard score in the current cycle and the standard score in the previous cycle for each battery cell based on the standard score data within a specified cycle, and calculates the cell diagnostic feature value based on the target feature value.

[0017] In a battery diagnostic device according to one embodiment disclosed in this document, the calculation unit can calculate the variance value of a plurality of target feature values ​​corresponding to each of a plurality of cycles as the cell diagnostic feature value.

[0018] A battery diagnostic device according to one embodiment disclosed in this document further includes an abnormality processing unit that performs an abnormality processing function based on the abnormality diagnosis results of the plurality of battery cells, and the abnormality processing function may include a notification function or a short circuit function.

[0019] A method of operation of a battery diagnostic device according to one embodiment disclosed in this document may include the operation of acquiring time-series voltage data of a plurality of battery cells, the operation of converting the time-series voltage data into standard score (Z-score) data in units of cell groups, the operation of calculating a cell diagnostic feature value based on the standard score data, and the operation of diagnosing abnormalities in the plurality of battery cells based on the calculated cell diagnostic feature value.

[0020] In a method of operation of a battery diagnostic device according to one embodiment disclosed in this document, the operation of acquiring time series voltage data includes the operation of acquiring time series voltage data satisfying a specified condition, and the specified condition may include at least one of a first condition in which the time length of the data is greater than or equal to a specified time length or a second condition in which the State of Charge (SOC) of the battery cell is greater than or equal to a specified SOC.

[0021] In the method of operation of a battery diagnostic device according to one embodiment disclosed in this document, the operation of converting the time series voltage data into the standard score data may be based on the above mathematical formula 1.

[0022] In a method of operation of a battery diagnostic device according to an embodiment disclosed in this document, the operation of calculating the cell diagnostic feature value may include, based on the standard score data, an operation of calculating a target feature value by cumulatively summing the absolute values ​​of the difference between the standard score in the current cycle and the standard score in the previous cycle for each battery cell, and an operation of calculating the cell diagnostic feature value based on the target feature value.

[0023] In a method of operation of a battery diagnostic device according to one embodiment disclosed in this document, the operation of calculating the cell diagnostic feature value may include the operation of calculating the variance value of each of the plurality of target feature values ​​of the plurality of battery cells as the cell diagnostic feature value.

[0024] A method of operation of a battery diagnostic device according to one embodiment disclosed in this document further includes an operation of performing an abnormality processing function based on the abnormality diagnosis results of the plurality of battery cells, and the abnormality processing function may include a notification function or a short circuit function. Effects of the invention

[0025] According to the embodiments disclosed in this document, diagnostic accuracy can be improved by calculating a diagnostic indicator using the voltage standard score of a battery cell.

[0026] In addition, various effects that can be identified directly or indirectly through this document may be provided. Brief explanation of the drawing

[0027] FIG. 1 is a block diagram of a battery diagnostic device according to one embodiment. FIG. 2 is an operation flowchart of a battery diagnostic device according to one embodiment. FIG. 3 is an operation flowchart of a battery diagnostic device according to one embodiment. FIG. 4 is a block diagram showing the hardware configuration of a computing system for performing the operation method of a battery diagnostic device according to one embodiment. Specific details for implementing the invention

[0028] Hereinafter, various embodiments of the present invention are described with reference to the accompanying drawings. However, this is not intended to limit the present invention to specific embodiments and should be understood to include various modifications, equivalents, and / or alternatives of the embodiments of the present invention.

[0029] The various embodiments of this document and the terms used therein are not intended to limit the technical features described in this document to specific embodiments, and should be understood to include various modifications, equivalents, or substitutions of said embodiments. In connection with the description of the drawings, similar reference numerals may be used for similar or related components. The singular form of a noun corresponding to an item may include one or more of said items unless the relevant context clearly indicates otherwise.

[0030] 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. Terms such as “first,” “second,” “first,” “second,” “A,” “B,” “(a),” or “(b)” may be used simply to distinguish a component from another component and, unless specifically stated otherwise, do not limit the components in any other aspect (e.g., importance or order).

[0031] In this document, where it is mentioned that any (e.g., 1) component is “connected,” “coupled,” or “joined” to another (e.g., 2) component, with or without the terms “functionally” or “communicationly,” or where it is mentioned as “coupled” or “connected,” it means that said component may be connected to said other component directly (e.g., by wire), wirelessly, or through a third component.

[0032] According to various embodiments, each component (e.g., module or program) of the components described above 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, one or more of the components or operations among the aforementioned components may be omitted, or one or more other components or operations 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 one or more functions of each of the multiple components in the same or similar manner as those performed by the corresponding component among the multiple components prior to integration. According to various embodiments, operations performed by the module, program, or other components 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 one or more other operations may be added.

[0033] FIG. 1 is a block diagram of a battery diagnostic device according to one embodiment.

[0034] Referring to FIG. 1, the battery pack (110) includes a plurality of cell groups (120, 130, 140), and each of the plurality of cell groups (120, 130, 140) may include a plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143). According to one embodiment, the battery pack (110) may be a battery mounted inside an electric vehicle to provide power to the electric vehicle.

[0035] According to one embodiment, the battery diagnostic device (150) can diagnose an abnormality of the battery unit based on time-series voltage data obtained from the battery unit. In the present disclosure, the battery unit may mean a battery pack (110), a cell group (120, 130, or 140), or a battery cell (121, 122, 123, 131, 132, 133, 141, 142, or 143).

[0036] According to one embodiment, the battery diagnostic device (150) may be formed integrally with the battery unit. In this case, the battery diagnostic device (150) may be implemented as a Battery Management System (BMS) of the battery unit.

[0037] According to one embodiment, the battery diagnostic device (150) may be formed separately from the battery unit. In this case, the battery diagnostic device (150) may be implemented as an external server (e.g., cloud) connected to the battery unit via a wireless network.

[0038] According to one embodiment, the battery diagnostic device (150) may include an acquisition unit (151), a conversion unit (152), a calculation unit (153), a diagnostic unit (154), and / or an anomaly processing unit (155). According to an embodiment, the battery diagnostic device (150) illustrated in FIG. 1 may further include at least one component other than the components illustrated in FIG. 1, or at least one component among the components illustrated in FIG. 1 (e.g., an anomaly processing unit (155)) may be omitted.

[0039] According to one embodiment, the acquisition unit (151) can acquire time-series voltage data of a plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143) included in the battery pack (110). Here, the time-series voltage data may be data showing the voltage of the plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143) over time.

[0040] For example, if the battery diagnostic device (150) is implemented as a BMS of a battery unit, the acquisition unit (151) can acquire time-series voltage data by measuring the voltages of a plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143). In this case, the acquisition unit (151) may use a sensor to measure the battery voltage.

[0041] As another example, if the battery diagnostic device (150) is implemented as an external server, the acquisition unit (151) can receive time-series voltage data of a plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143) acquired by the battery unit. In this case, the acquisition unit (151) can use a communication circuit capable of wired and / or wireless network communication.

[0042] According to one embodiment, the acquisition unit (151) can acquire time series voltage data satisfying a specified condition. Here, the specified condition may include at least one of a first condition in which the time length of the data is greater than or equal to a specified time length, or a second condition in which the State of Charge (SOC) of the battery cell (121, 122, 123, 131, 132, 133, 141, 142, and / or 143) is greater than or equal to a specified SOC.

[0043] According to one embodiment, the conversion unit (152) can convert time series voltage data acquired by the acquisition unit (151) into standard score (Z-score) data in cell group units. Here, converting in cell group units may mean converting the time series voltage data of each battery cell into standard score data using the time series voltage data of all multiple battery cells included in a specific cell group (120, 130, or 140). For example, the conversion unit (152) can convert the time series voltage data of battery cells (121, 122, 123) into standard score data using the time series voltage data of multiple battery cells (121, 122, 123) included in the cell group (120).

[0044] According to one embodiment, the conversion unit (152) can convert time series voltage data of a plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143) into standard score data based on the following mathematical formula 1.

[0045]

[0046] In the above mathematical formula 1, in mathematical formula 1, Z i is the standard score, V of the i-th battery cell (e.g., 121) among multiple battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143). cells,i is the voltage of the i-th battery cell above, mean(V cell group) is the average voltage of a cell group (e.g., 120) including the i-th battery cell, std(V cell group ) is the voltage standard deviation of the battery cells (e.g., 121, 122, 123) included in the cell group above.)

[0047] According to one embodiment, the calculation unit (153) can calculate a cell diagnostic feature value based on standard score data converted by the conversion unit (152).

[0048] According to one embodiment, the calculation unit (153) can calculate a cell diagnostic feature value corresponding to each of the plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143). Hereinafter, for convenience of explanation, only an example is described in which the calculation unit (153) calculates a cell diagnostic feature value corresponding to the first battery cell (121), which is the battery cell to be diagnosed among the plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143).

[0049] According to one embodiment, the calculation unit (153) can calculate the absolute value of the difference between the standard score in the current cycle and the standard score in the previous cycle for the first battery cell (121). The calculation unit (153) can calculate a target feature value by cumulatively summing the calculated absolute value within a specified cycle (e.g., a charge / discharge cycle). Here, the target feature value may correspond to a specific charge / discharge cycle.

[0050] According to one embodiment, the calculation unit (153) can calculate the variance value of a plurality of target feature values ​​corresponding to each of a plurality of cycles for the first battery cell (121) as a cell diagnostic feature value corresponding to the first battery cell (121).

[0051] The above-described method for calculating cell diagnostic feature values ​​can be applied in the same way when calculating cell diagnostic feature values ​​corresponding to each of the plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143) included in the battery pack (110) as well as the first battery cell (121).

[0052] According to one embodiment, the diagnostic unit (154) can diagnose abnormalities in a plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143) based on cell diagnostic feature values ​​calculated by the calculation unit (153).

[0053] According to one embodiment, the diagnostic unit (154) can diagnose an abnormality of a battery cell to be diagnosed based on a cell diagnostic feature value corresponding to the battery cell to be diagnosed among a plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143). For example, the diagnostic unit (154) can diagnose an abnormality of the first battery cell (121) based on a cell diagnostic feature value corresponding to the first battery cell (121), which is the battery cell to be diagnosed.

[0054] According to one embodiment, the diagnostic unit (154) can diagnose abnormalities in the plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143) by comparing cell diagnostic feature values ​​corresponding to each of the plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143) with preset threshold feature values.

[0055] According to one embodiment, the abnormality processing unit (155) can perform an abnormality processing function based on the abnormality diagnosis results of a plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143). Here, the abnormality processing function may include a notification function or a short-circuit function.

[0056] According to one embodiment, the abnormality processing unit (155) can transmit the abnormality diagnosis results of a plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143) to a user terminal connected via a wired and / or wireless network.

[0057] According to one embodiment, the abnormality processing unit (155) can isolate the abnormal battery cell from the electronic device in which the plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143) are disposed, based on the abnormality diagnosis results of the plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143). Here, the isolation may include electrical and / or mechanical isolation.

[0058] FIG. 2 is an operation flowchart of a battery diagnostic device according to one embodiment. FIG. 2 can be described using the components of FIG. 1.

[0059] The embodiment illustrated in FIG. 2 is merely one example, and the order of steps according to various embodiments of the present invention may differ from that illustrated in FIG. 2, and some steps illustrated in FIG. 2 may be omitted, the order of steps may be changed, or steps may be merged.

[0060] Referring to FIG. 2, in operation 205, the battery diagnostic device (150) can obtain time-series voltage data of a plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143) included in the battery pack (110). Here, the time-series voltage data may be data showing the voltage of the plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143) over time.

[0061] According to one embodiment, the battery diagnostic device (150) can acquire time-series voltage data satisfying specified conditions. Here, the specified conditions may include at least one of a first condition in which the time length of the data is greater than or equal to the specified time length, or a second condition in which the State of Charge (SOC) of the battery cells (121, 122, 123, 131, 132, 133, 141, 142, and / or 143) is greater than or equal to the specified SOC.

[0062] In operation 210, the battery diagnostic device (150) can convert the time series voltage data obtained in operation 205 into standard score data in cell group units. According to one embodiment, the battery diagnostic device (150) can convert the time series voltage data of a plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143) into standard score data based on the above mathematical formula 1.

[0063] In operation 215, the battery diagnostic device (150) can calculate cell diagnostic feature values ​​based on the standard score data converted in operation 210.

[0064] According to one embodiment, the battery diagnostic device (150) can calculate cell diagnostic feature values ​​corresponding to each of the plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143).

[0065] The operation 215 in which the battery diagnostic device (150) calculates cell diagnostic feature values ​​can be explained more specifically through FIG. 3, which will be described later.

[0066] In operation 220, the battery diagnostic device (150) can diagnose abnormalities in a plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143) based on the cell diagnostic feature value calculated in operation 215.

[0067] According to one embodiment, the battery diagnostic device (150) can diagnose an abnormality of a battery cell to be diagnosed based on a cell diagnostic feature value corresponding to the battery cell to be diagnosed among a plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143). For example, the battery diagnostic device (150) can diagnose an abnormality of the first battery cell (121) based on a cell diagnostic feature value corresponding to the first battery cell (121), which is the battery cell to be diagnosed.

[0068] According to one embodiment, the battery diagnostic device (150) can diagnose abnormalities in the plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143) by comparing cell diagnostic feature values ​​corresponding to each of the plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143) with preset threshold feature values.

[0069] According to one embodiment, the battery diagnostic device (150) can perform an abnormality processing function based on the abnormality diagnosis results of a plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143). Here, the abnormality processing function may include a notification function or a short-circuit function.

[0070] According to one embodiment, the battery diagnostic device (150) can transmit abnormal diagnosis results of a plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143) to a user terminal connected via a wired and / or wireless network.

[0071] According to one embodiment, a battery diagnostic device (150) can isolate an abnormal battery cell from an electronic device in which a plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143) are disposed, based on the abnormality diagnosis results of a plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143). Here, the isolation may include electrical and / or mechanical isolation.

[0072] Below, a method for a battery diagnostic device (150) to calculate a cell diagnostic feature value is described through FIG. 3.

[0073] FIG. 3 is an operation flowchart of a battery diagnostic device according to one embodiment. FIG. 3 can be described using the configurations of FIG. 1.

[0074] The embodiment illustrated in FIG. 3 is merely one example, and the order of steps according to various embodiments of the present invention may differ from that illustrated in FIG. 3, and some steps illustrated in FIG. 3 may be omitted, the order of steps may be changed, or steps may be merged.

[0075] Referring to FIG. 3, in operation 305, the battery diagnostic device (150) can calculate the absolute value of the difference between the standard score in the current cycle and the standard score in the previous cycle for the first battery cell (121) based on standard score data.

[0076] In operation 310, the battery diagnostic device (150) can calculate a target feature value by cumulatively summing the calculated absolute values ​​within a specified cycle (e.g., a charge / discharge cycle). Here, the target feature value may correspond to a specific charge / discharge cycle.

[0077] In operation 315, the battery diagnostic device (150) can calculate the variance value of a plurality of target feature values ​​corresponding to each of a plurality of cycles as a cell diagnostic feature value.

[0078] FIG. 4 is a block diagram showing the hardware configuration of a computing system for performing the operation method of a battery diagnostic device according to one embodiment.

[0079] Referring to FIG. 4, a computing system (1000) according to one embodiment disclosed in this document may include an MCU (1010), a memory (1020), an input / output I / F (1030), and a communication I / F (1040).

[0080] The MCU (1010) may be a processor that executes various programs stored in memory (1020) (e.g., battery cell voltage collection program, data conversion program, cell diagnostic feature value calculation program, cell diagnostic program, etc.), processes various information including cell voltage, standard score data, and cell diagnostic feature values ​​through these programs, and performs functions according to the configurations of the battery diagnostic device shown in FIG. 1.

[0081] The memory (1020) can store various programs such as a battery cell voltage collection program, a data conversion program, a cell diagnostic feature value calculation program, and a cell diagnostic program. In addition, the memory (1020) can store various information such as time-series voltage data of the battery cell.

[0082] These memories (1020) may be provided in multiple quantities as needed. The memories (1020) may be volatile memories or non-volatile memories. As volatile memories, the memory (1020) may use RAM, DRAM, SRAM, etc. As non-volatile memories, the memory (1020) may use ROM, PROM, EAROM, EPROM, EEPROM, flash memory, etc. The examples of the memories (1020) listed above are merely examples and are not limited to these examples.

[0083] The input / output I / F (1030) can provide an interface that enables data transmission and reception between an input device (not shown), such as a keyboard, mouse, or touch panel, an output device (not shown), and an MCU (1010).

[0084] The communication I / F (1040) 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 can transmit and receive information, such as time-series voltage data of the battery cell and battery cell abnormality diagnosis results, from a separately provided external server via the communication I / F (1040).

[0085] 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. 1 by being written to memory (1020) and processed by an MCU (1010).

[0086] Terms such as "include," "compose," or "have" as used above, unless specifically stated otherwise, mean that the relevant component may be inherent; therefore, 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.

Claims

Claim 1 A battery diagnostic device comprising: an acquisition unit for acquiring time-series voltage data of a plurality of battery cells; a conversion unit for converting the time-series voltage data into standard score (Z-score) data in units of cell groups; a calculation unit for calculating cell diagnostic feature values ​​based on the standard score data; and a diagnostic unit for diagnosing abnormalities in the plurality of battery cells based on the calculated cell diagnostic feature values, wherein the acquisition unit acquires the time-series voltage data satisfying a specified condition, and the specified condition includes at least one of a first condition in which the time length of the data is greater than or equal to a specified time length, or a second condition in which the State of Charge (SOC) of the battery cell is greater than or equal to a specified SOC. Claim 2 delete Claim 3 A battery diagnostic device comprising: an acquisition unit for acquiring time-series voltage data of a plurality of battery cells; a conversion unit for converting the time-series voltage data into standard score (Z-score) data in units of cell groups; a calculation unit for calculating cell diagnostic feature values ​​based on the standard score data; and a diagnostic unit for diagnosing abnormalities in the plurality of battery cells based on the calculated cell diagnostic feature values, wherein the conversion unit converts the time-series voltage data into standard score data based on the following mathematical formula 1. [Mathematical Formula 1] (In mathematical formula 1, Z i is the standard score of the i-th battery cell among the plurality of battery cells above, V cells,i is the voltage of the i-th battery cell above, mean(V cell group ) is the average voltage of a cell group including the i-th battery cell, std(V cell group ) is the voltage standard deviation of the battery cells included in the above cell group.) Claim 4 A battery diagnostic device comprising: an acquisition unit for acquiring time-series voltage data of a plurality of battery cells; a conversion unit for converting the time-series voltage data into standard score (Z-score) data in units of cell groups; a calculation unit for calculating a cell diagnostic feature value based on the standard score data; and a diagnostic unit for diagnosing abnormalities in the plurality of battery cells based on the calculated cell diagnostic feature value, wherein the calculation unit calculates a target feature value by cumulatively summing the absolute value of the difference between the standard score in the current cycle and the standard score in the previous cycle for each battery cell based on the standard score data within a specified cycle, and calculates the cell diagnostic feature value based on the target feature value. Claim 5 A battery diagnostic device according to claim 4, wherein the calculation unit calculates the variance value of a plurality of target feature values ​​corresponding to each of a plurality of cycles as the cell diagnostic feature value. Claim 6 A battery diagnostic device according to claim 1, further comprising an abnormality processing unit that performs an abnormality processing function based on the abnormality diagnosis results of the plurality of battery cells, wherein the abnormality processing function includes a notification function or a short-circuit function. Claim 7 A method of operating a battery diagnostic device comprising: an operation of acquiring time-series voltage data of a plurality of battery cells; an operation of converting the time-series voltage data into standard score (Z-score) data in units of cell groups; an operation of calculating a cell diagnostic feature value based on the standard score data; and an operation of diagnosing abnormalities of the plurality of battery cells based on the calculated cell diagnostic feature value, wherein the operation of acquiring the time-series voltage data includes an operation of acquiring the time-series voltage data satisfying a specified condition, and the specified condition includes at least one of a first condition in which the time length of the data is greater than or equal to a specified time length, or a second condition in which the State of Charge (SOC) of the battery cell is greater than or equal to a specified SOC. Claim 8 delete Claim 9 A method of operation of a battery diagnostic device comprising: an operation of acquiring time-series voltage data of a plurality of battery cells; an operation of converting the time-series voltage data into standard score (Z-score) data in units of cell groups; an operation of calculating a cell diagnostic feature value based on the standard score data; and an operation of diagnosing abnormalities of the plurality of battery cells based on the calculated cell diagnostic feature value, wherein the operation of converting the time-series voltage data into standard score data is based on the following Equation 1. [Equation 1] (In mathematical formula 1, Z i is the standard score of the i-th battery cell among the plurality of battery cells above, V cells,i is the voltage of the i-th battery cell above, mean(V cell group ) is the average voltage of a cell group including the i-th battery cell, std(V cell group ) is the voltage standard deviation of the battery cells included in the above cell group.) Claim 10 A method of operating a battery diagnostic device, comprising: an operation of acquiring time-series voltage data of a plurality of battery cells; an operation of converting the time-series voltage data into standard score (Z-score) data in units of cell groups; an operation of calculating a cell diagnostic feature value based on the standard score data; and an operation of diagnosing abnormalities in the plurality of battery cells based on the calculated cell diagnostic feature value, wherein the operation of calculating the cell diagnostic feature value includes, for each battery cell based on the standard score data, an operation of calculating a target feature value by cumulatively summing the absolute values ​​of the difference between the standard score in the current cycle and the standard score in the previous cycle; and an operation of calculating the cell diagnostic feature value based on the target feature value. Claim 11 A method of operation of a battery diagnostic device according to claim 10, wherein the operation of calculating the cell diagnostic feature value includes the operation of calculating the variance value of each of the plurality of target feature values ​​of each of the plurality of battery cells as the cell diagnostic feature value. Claim 12 A method of operation of a battery diagnostic device according to claim 7, further comprising an operation to perform an abnormality processing function based on the abnormality diagnosis results of the plurality of battery cells, wherein the abnormality processing function includes a notification function or a short-circuit function.

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