Battery diagnosis device and operating method thereof

Abstract

A battery diagnosis device according to an embodiment disclosed in the present document may comprise: 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 diagnosis feature value on the basis of the standard score data; and a diagnosis unit for diagnosing abnormalities of the plurality of battery cells on the basis of the calculated cell diagnosis feature value.

Description

Battery diagnostic device and its operating method

[0001] Cross-citation with related applications

[0002] This invention claims the benefit of priority from Korean Patent Application No. 10-2024-0041265, filed March 26, 2024, the entire contents of which are incorporated herein by reference.

[0003] Technology field

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

[0005] Recently, research and development on secondary batteries has been actively conducted. The term "secondary battery" refers to a rechargeable battery, encompassing both conventional Ni / Cd and Ni / MH batteries, as well as more recent lithium-ion batteries. Among secondary batteries, lithium-ion batteries boast a significantly higher energy density than conventional Ni / Cd and Ni / MH batteries. Furthermore, lithium-ion batteries can be manufactured in a compact and lightweight form, making them ideal power sources for mobile devices. Recently, their use has expanded to include power sources for electric vehicles, drawing attention as a next-generation energy storage medium.

[0006] Additionally, secondary batteries can be utilized as battery packs, which typically include battery modules in which multiple battery cells are connected in series and / or parallel. Furthermore, secondary batteries can be utilized as battery racks, which include multiple battery modules and a rack frame that accommodates these battery modules.

[0007] Battery cells, battery modules, battery packs, or battery racks like these can be utilized in a variety of devices. For example, batteries can be used in mobile devices such as cell phones, laptops, smartphones, and tablets, as well as in electric vehicles (EVs, HEVs, PHEVs) and large-capacity energy storage systems (ESS).

[0008] These batteries can have their status and operation managed and controlled by a battery management system (BMS). The BMS can be included with the batteries in a single device.

[0009] Additionally, the battery management system can manage and control the battery while being separated from the device containing the battery. For example, the battery management system can be implemented as a separate server device. In this case, the battery management system can collect battery data and vehicle data from vehicles and other devices, and utilize the collected data to manage and control the battery.

[0010] Meanwhile, if a battery is defective, the risk of damage to devices containing the battery (e.g., EVs, ESS) may increase. Therefore, a method is needed to detect abnormal battery conditions and reduce the risk of damage to devices containing the battery.

[0011] Embodiments disclosed in this document can provide a battery diagnosis device and an operating method thereof capable of calculating cell diagnosis feature values ​​to be used for diagnosis of a battery cell based on standard score data converted from time series voltage data of a battery cell.

[0012] The technical problems of the embodiments disclosed in this document are not limited to the technical problems mentioned above, and other technical problems not mentioned will be clearly understood by those skilled in the art from the descriptions below.

[0013] A battery diagnosis device according to an embodiment disclosed in this document may include an acquisition unit that acquires time series voltage data of a plurality of battery cells, a conversion unit that converts the time series voltage data into standard score (Z-score) data for each cell group, a calculation unit that calculates cell diagnosis feature values ​​based on the standard score data, and a diagnosis unit that diagnoses an abnormality of the plurality of battery cells based on the calculated cell diagnosis feature values.

[0014] In a battery diagnostic device according to an embodiment disclosed in this document, the acquisition unit acquires the time series voltage data satisfying a specified condition, and the specified condition may include at least one of a first condition in which a time length of the data is greater than or equal to a specified time length or a second condition in which a State of Charge (SOC) of a battery cell is greater than or equal to a specified SOC.

[0015] In a battery diagnostic device according to an embodiment disclosed in this document, the conversion unit can convert the time series voltage data into the standard score data based on the following equation 1.

[0016] [Formula 1]

[0017]

[0018] (In Equation 1, Z i is the standard score of the i-th battery cell among the plurality of battery cells, V cells,i is the voltage of the i-th battery cell, mean(V cell group ) is the average voltage of the 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.

[0019] In a battery diagnosis device according to an embodiment disclosed in this document, the calculation unit may calculate a target characteristic value by cumulatively adding up 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 within a specified cycle based on the standard score data, and may calculate the cell diagnosis characteristic value based on the target characteristic value.

[0020] In a battery diagnosis device according to an embodiment disclosed in this document, the calculation unit can calculate a variance value of a plurality of target feature values ​​corresponding to each of a plurality of cycles as the cell diagnosis feature value.

[0021] A battery diagnostic device according to an embodiment disclosed in this document further includes an abnormality processing unit that performs an abnormality processing function based on abnormality diagnosis results of the plurality of battery cells, and the abnormality processing function may include a notification function or a short circuit function.

[0022] An operating method of a battery diagnosis device according to an embodiment disclosed in this document may include 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 cell diagnosis feature values ​​based on the standard score data, and an operation of diagnosing an abnormality of the plurality of battery cells based on the calculated cell diagnosis feature values.

[0023] In the operating method of the battery diagnosis device according to one embodiment disclosed in the present document, the operation of acquiring the time series voltage data includes an operation of acquiring the time series voltage data that satisfies a specified condition, and the specified condition may include at least one of a first condition in which a time length of the data is greater than or equal to a specified time length or a second condition in which a State of Charge (SOC) of a battery cell is greater than or equal to a specified SOC.

[0024] In the operating method of the battery diagnosis 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 equation 1.

[0025] In the operating method of the battery diagnosis device according to one embodiment disclosed in the present document, the operation of calculating the cell diagnosis characteristic value may include an operation of calculating a target characteristic value by cumulatively adding 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, and an operation of calculating the cell diagnosis characteristic value based on the target characteristic value.

[0026] In the operating method of the battery diagnosis device according to one embodiment disclosed in this document, the operation of calculating the cell diagnosis characteristic value may include an operation of calculating a variance value of a plurality of target characteristic values ​​of each of the plurality of battery cells as the cell diagnosis characteristic value.

[0027] The operating method of the battery diagnosis device according to one embodiment disclosed in this document further includes an operation of performing an abnormality processing function based on abnormality diagnosis results of the plurality of battery cells, and the abnormality processing function may include a notification function or a short circuit function.

[0028] According to the embodiments disclosed in this document, the diagnostic accuracy can be improved by calculating a diagnostic index using the voltage standard score of a battery cell.

[0029] In addition, various effects may be provided, either directly or indirectly, through this document.

[0030] FIG. 1 is a block diagram of a battery diagnostic device according to one embodiment.

[0031] Figure 2 is a flowchart of the operation of a battery diagnostic device according to one embodiment.

[0032] Figure 3 is a flowchart of the operation of a battery diagnostic device according to one embodiment.

[0033] FIG. 4 is a block diagram showing the hardware configuration of a computing system for performing an operating method of a battery diagnostic device according to one embodiment.

[0034] Hereinafter, various embodiments of the present invention will be described with reference to the attached drawings. However, this is not intended to limit the present invention to specific embodiments, and it should be understood that the present invention encompasses various modifications, equivalents, and / or alternatives of the embodiments.

[0035] The various embodiments and terminology used in this document are not intended to limit the technical features described in this document to specific embodiments, but should be understood to encompass various modifications, equivalents, or alternatives of the embodiments. In connection with the description of the drawings, similar reference numerals may be used to refer to similar or related components. The singular form of a noun corresponding to an item may include one or more of the items, unless the context clearly indicates otherwise.

[0036] In this document, the phrases "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" can each include any one of the items listed together in that phrase, or all possible combinations thereof. Terms such as "first", "second", "first", "second", "A", "B", "(a)", or "(b)" may be used merely to distinguish the corresponding element from other corresponding elements, and do not limit the corresponding elements in any other respect (e.g., importance or order) unless specifically stated otherwise.

[0037] In this document, whenever a component (e.g., a first component) is referred to as being “connected,” “coupled,” or “connected,” with or without the terms “functionally” or “communicatively,” or “coupled” or “connected,” it means that the component can be connected to the other component directly (e.g., wired), wirelessly, or via a third component.

[0038] According to various embodiments, each component (e.g., a module or a program) of the above-described components may include one or more entities, and some of the entities may be separated and placed in other components. According to various embodiments, one or more components or operations of the aforementioned components may be omitted, or one or more other components or operations may be added. Alternatively or additionally, a plurality of components (e.g., a module or a program) may be integrated into a single component. In such a case, the integrated component may perform one or more functions of each of the plurality of components identically or similarly to those performed by the corresponding component among the plurality of components prior to the integration. According to various embodiments, the 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 one or more other operations may be added.

[0039] FIG. 1 is a block diagram of a battery diagnostic device according to one embodiment.

[0040] Referring to FIG. 1, a 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.

[0041] According to one embodiment, a battery diagnostic device (150) can diagnose an abnormality of a battery unit based on time series voltage data obtained from the battery unit. In the present disclosure, a 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).

[0042] 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 BMS (Battery Management System) of the battery unit.

[0043] 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.

[0044] According to one embodiment, the battery diagnostic device (150) may include an acquisition unit (151), a conversion unit (152), a calculation unit (153), a diagnosis 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 may omit at least one component (e.g., an anomaly processing unit (155)) among the components illustrated in FIG. 1.

[0045] 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 representing the voltages of the plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143) over time.

[0046] For example, if the battery diagnostic device (150) is implemented as a BMS of a battery unit, the acquisition unit (151) can measure the voltages of a plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143) to acquire time series voltage data. In this case, the acquisition unit (151) can use a sensor for measuring the battery voltage.

[0047] 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 utilize a communication circuit capable of wired and / or wireless network communication.

[0048] 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 SOC (State of Charge) of the battery cells (121, 122, 123, 131, 132, 133, 141, 142, and / or 143) is greater than or equal to a specified SOC.

[0049] According to one embodiment, the conversion unit (152) may convert the time series voltage data acquired by the acquisition unit (151) into standard score (Z-score) data for each cell group. Here, converting for each cell group may mean converting the time series voltage data of each battery cell into standard score data by using the time series voltage data of all of the plurality of battery cells included in a specific cell group (120, 130, or 140). For example, the conversion unit (152) may convert the time series voltage data of the battery cells (121, 122, 123) into standard score data by using the time series voltage data of the plurality of battery cells (121, 122, 123) included in the cell group (120).

[0050] 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 equation 1.

[0051] [Formula 1]

[0052]

[0053] In the above formula 1, Z i is the standard score of the i-th battery cell (e.g., 121) among multiple battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143), V cells,i is the voltage of the i-th battery cell, mean(V cell group ) is the average voltage, std(V) of the cell group (e.g., 120) including the above-mentioned i-th battery cell. cell group ) is the voltage standard deviation of the battery cells included in the above cell group (e.g., 121, 122, 123).

[0054] According to one embodiment, the output unit (153) can output cell diagnostic feature values ​​based on standard score data converted by the conversion unit (152).

[0055] According to one embodiment, the calculation unit (153) can calculate a cell diagnostic feature value corresponding to each of a plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143). Hereinafter, for convenience of explanation, only an example in which the calculation unit (153) calculates a cell diagnostic feature value corresponding to the first battery cell (121), which is a battery cell to be diagnosed, among the plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143) is described.

[0056] According to one embodiment, the calculation unit (153) may 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) may cumulatively add the calculated absolute values ​​within a specified cycle (e.g., a charge / discharge cycle) to calculate a target characteristic value. Here, the target characteristic value may correspond to a specific charge / discharge cycle.

[0057] According to one embodiment, the output unit (153) can output a 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).

[0058] The above-described cell diagnostic feature value calculation method can be equally applied when calculating cell diagnostic feature values ​​corresponding to each of a 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).

[0059] According to one embodiment, the diagnostic unit (154) can diagnose an abnormality in a plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143) based on the cell diagnostic feature values ​​produced by the production unit (153).

[0060] 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 a 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.

[0061] According to one embodiment, the diagnostic unit (154) can diagnose an abnormality 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 a preset threshold feature value.

[0062] According to one embodiment, the abnormality processing unit (155) may 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.

[0063] According to one embodiment, the abnormality processing unit (155) can transmit 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.

[0064] According to one embodiment, the abnormality processing unit (155) may isolate an abnormal battery cell from an electronic device in which the plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143) are arranged 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.

[0065] Fig. 2 is a flowchart illustrating the operation of a battery diagnostic device according to one embodiment. Fig. 2 can be explained using the configurations of Fig. 1.

[0066] The embodiment illustrated in FIG. 2 is only one embodiment, and the order of steps according to various embodiments of the present invention may be different from that illustrated in FIG. 2, and some of the steps illustrated in FIG. 2 may be omitted, the order between steps may be changed, or steps may be merged.

[0067] 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 representing the voltages of the plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143) over time.

[0068] According to one embodiment, the battery diagnostic device (150) can obtain 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 SOC (State of Charge) of the battery cells (121, 122, 123, 131, 132, 133, 141, 142, and / or 143) is greater than or equal to a specified SOC.

[0069] In operation 210, the battery diagnostic device (150) can convert the time series voltage data acquired in operation 205 into standard score data for each cell group. 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 equation 1.

[0070] In operation 215, the battery diagnostic device (150) can calculate cell diagnostic feature values ​​based on the standard score data converted in operation 210.

[0071] According to one embodiment, the battery diagnostic device (150) can calculate cell diagnostic feature values ​​corresponding to each of a plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143).

[0072] The operation 215 of the battery diagnostic device (150) calculating the cell diagnostic characteristic value can be described in more detail with reference to FIG. 3, which will be described later.

[0073] In operation 220, the battery diagnostic device (150) can diagnose an abnormality in a plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143) based on the cell diagnostic feature values ​​calculated in operation 215.

[0074] According to one embodiment, the battery diagnosis device (150) can diagnose an abnormality of a battery cell to be diagnosed based on a cell diagnosis 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 diagnosis device (150) can diagnose an abnormality of a first battery cell (121) based on a cell diagnosis feature value corresponding to the first battery cell (121), which is the battery cell to be diagnosed.

[0075] According to one embodiment, the battery diagnostic device (150) can diagnose an abnormality 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 a preset threshold feature value.

[0076] According to one embodiment, the battery diagnostic device (150) may perform an abnormality processing function based on 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.

[0077] 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.

[0078] According to one embodiment, the battery diagnostic device (150) can isolate a faulty battery cell from an electronic device in which the plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143) are arranged based on the abnormal diagnosis results of the plurality of battery cells (121, 122, 123, 131, 132, 133, 141, 142, 143). Here, the isolation can include electrical and / or mechanical isolation.

[0079] Below, a method for calculating cell diagnosis characteristic values ​​by a battery diagnosis device (150) is described through FIG. 3.

[0080] Fig. 3 is a flowchart illustrating the operation of a battery diagnostic device according to one embodiment. Fig. 3 can be explained using the configurations of Fig. 1.

[0081] The embodiment illustrated in FIG. 3 is only one embodiment, and the order of steps according to various embodiments of the present invention may be different from that illustrated in FIG. 3, and some of the steps illustrated in FIG. 3 may be omitted, the order between steps may be changed, or steps may be merged.

[0082] Referring to FIG. 3, in operation 305, the battery diagnostic device (150) can calculate, based on standard score data, an absolute value of a difference value between a standard score in the current cycle and a standard score in the previous cycle for the first battery cell (121).

[0083] In operation 310, the battery diagnostic device (150) can cumulatively add up the calculated absolute values ​​within a specified cycle (e.g., charge / discharge cycle) to calculate a target characteristic value. Here, the target characteristic value may correspond to a specific charge / discharge cycle.

[0084] In operation 315, the battery diagnostic device (150) can calculate a variance value of a plurality of target characteristic values ​​corresponding to each of a plurality of cycles as a cell diagnostic characteristic value.

[0085] FIG. 4 is a block diagram showing the hardware configuration of a computing system for performing an operating method of a battery diagnostic device according to one embodiment.

[0086] Referring to FIG. 4, a computing system (1000) according to one embodiment disclosed in the present document may include an MCU (1010), a memory (1020), an input / output I / F (1030), and a communication I / F (1040).

[0087] The MCU (1010) may be a processor that executes various programs stored in the memory (1020) (e.g., a battery cell voltage collection program, a data conversion program, a cell diagnosis feature value calculation program, a cell diagnosis program, etc.), processes various information including cell voltage, standard score data, and cell diagnosis feature values ​​through these programs, and performs functions according to the configurations of the battery diagnosis device shown in the aforementioned FIG. 1.

[0088] 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 a battery cell.

[0089] Such memories (1020) may be provided in multiple numbers as needed. The memories (1020) may be volatile memories or non-volatile memories. As volatile memories (1020), RAM, DRAM, SRAM, etc. may be used. As non-volatile memories (1020), ROM, PROM, EAROM, EPROM, EEPROM, flash memories, etc. may be used. The examples of the memories (1020) listed above are merely examples and are not limited to these examples.

[0090] 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, and an output device (not shown) such as a display and the MCU (1010).

[0091] The communication I / F (1040) is a component capable of transmitting and receiving various data with a server, and may be any device capable of supporting wired or wireless communication. For example, a battery diagnostic device can transmit and receive information, such as battery cell time-series voltage data and battery cell abnormality diagnosis results, from a separately provided external server via the communication I / F (1040).

[0092] In this way, a computer program according to one embodiment disclosed in this document may be implemented as a module that is recorded in a memory (1020) and processed by an MCU (1010) to perform each function illustrated in FIG. 1, for example.

[0093] The terms "include," "comprise," or "have" used herein, unless otherwise specifically stated, imply that the corresponding component may be included, and therefore should be interpreted to include other components rather than to exclude other components. All terms, including technical or scientific terms, have the same meaning as commonly understood by a person of ordinary skill in the art to which the embodiments disclosed in this document pertain, unless otherwise defined. Commonly used terms, such as terms defined in dictionaries, should be interpreted to be consistent with their meaning in the context of the relevant technology, and shall not be interpreted in an idealized or overly formal sense, unless explicitly defined in this document.

Claims

1. An acquisition unit that acquires time series voltage data of multiple battery cells; A conversion unit that converts the above time series voltage data into standard score (Z-score) data in cell group units; A calculation unit for calculating cell diagnostic feature values ​​based on the above standard score data; and A battery diagnostic device comprising a diagnostic unit that diagnoses abnormalities in the plurality of battery cells based on the above-described cell diagnostic feature values.

2. In claim 1, The above acquisition unit acquires the time series voltage data that satisfies the specified conditions, A battery diagnostic device, wherein the above-mentioned 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 SOC (State of Charge) of the battery cell is greater than or equal to a specified SOC.

3. In claim 1, A battery diagnostic device, wherein the above conversion unit converts the time series voltage data into the standard score data based on the following equation 1. [Formula 1] (In Equation 1, Z i is the standard score of the i-th battery cell among the plurality of battery cells, V cells,i is the voltage of the i-th battery cell, mean(V cell group ) is the average voltage of the 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.

4. In claim 1, The above output section, Based on the above standard score data, for each battery cell, the absolute value of the difference between the standard score in the current cycle and the standard score in the previous cycle is cumulatively added within a specified cycle to produce a target feature value, A battery diagnostic device that calculates the cell diagnostic feature value based on the target feature value.

5. In claim 4, A battery diagnostic device, wherein the above-mentioned calculation unit calculates a variance value of a plurality of target characteristic values ​​corresponding to each of a plurality of cycles as the cell diagnostic characteristic value.

6. In 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; A battery diagnostic device, wherein the above abnormality handling function includes a notification function or a short circuit function.

7. An operation for acquiring time series voltage data of multiple battery cells; An operation of converting the above time series voltage data into standard score (Z-score) data by cell group unit; An operation of calculating a cell diagnostic feature value based on the above standard score data; and An operating method of a battery diagnostic device, comprising an operation of diagnosing an abnormality of the plurality of battery cells based on the above-described cell diagnostic feature values.

8. In claim 7, The operation of acquiring the time series voltage data includes an operation of acquiring the time series voltage data that satisfies a specified condition, A method for operating a battery diagnostic device, wherein the above-mentioned 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 SOC (State of Charge) of the battery cell is greater than or equal to a specified SOC.

9. In claim 7, An operation method of a battery diagnostic device, wherein the operation of converting the above time series voltage data into the above standard score data is based on the following equation 1. [Formula 1] (In Equation 1, Z i is the standard score of the i-th battery cell among the plurality of battery cells, V cells,i is the voltage of the i-th battery cell, mean(V cell group ) is the average voltage of the 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.

10. In claim 7, The operation of calculating the above cell diagnostic feature value is: Based on the above standard score data, for each battery cell, an operation of accumulating and adding the absolute value of the difference between the standard score in the current cycle and the standard score in the previous cycle to produce a target feature value, and An operating method of a battery diagnostic device, comprising an operation of calculating the cell diagnostic feature value based on the target feature value.

11. In claim 10, A method for operating a battery diagnosis device, wherein the operation of calculating the cell diagnosis characteristic value includes an operation of calculating a variance value of a plurality of target characteristic values ​​of each of the plurality of battery cells as the cell diagnosis characteristic value.

12. In claim 7, Further comprising an operation of performing an abnormality processing function based on the abnormality diagnosis results of the plurality of battery cells, A method of operating a battery diagnostic device, wherein the above-mentioned abnormality handling function includes a notification function or a short circuit function.

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