Battery diagnostic device and operation method thereof

Abstract

A battery diagnostic device according to one embodiment disclosed in this document may include an acquisition unit that acquires OCV (Open Circuit Voltage) data of a battery cell; a calculation unit that calculates an OCV change value indicating an OCV change value for each of a plurality of battery cells included in a specific battery module in a specified time interval based on the OCV data, and calculates an OCV deviation value relative to the average indicating a difference between an average OCV change value of the plurality of battery cells and an OCV change value of a specific battery cell among the plurality of battery cells; and a diagnosis unit that diagnoses an abnormality in the specific battery cell based on the OCV deviation value of the specific battery cell relative to the average.

Description

[Technical Field]

[0001] The present invention claims the benefit of priority based on Korean Patent Application Nos. 10-2023-0023231, filed February 21, 2023, and 10-2023-0068251, filed May 26, 2023, and all contents disclosed in the documents of said Korean patent applications are incorporated herein by reference. SUMMARY OF THE INVENTION The embodiments disclosed herein relate to a battery diagnostic device and a method of operation thereof. [Background technology]

[0002] In recent years, research and development into secondary batteries has been actively pursued. Here, secondary batteries are batteries that can be charged and discharged, and include both conventional Ni / Cd batteries, Ni / MH batteries, and more recent lithium-ion batteries. Among secondary batteries, lithium-ion batteries have the advantage of having a much higher energy density than conventional Ni / Cd batteries, Ni / MH batteries, and other batteries. Furthermore, because lithium-ion batteries can be manufactured to be compact and lightweight, they are used as power sources for mobile devices. In recent years, their range of use has expanded to include power sources for electric vehicles, and they are attracting attention as a next-generation energy storage medium.

[0003] Furthermore, the secondary battery can generally be used as a battery pack including a battery module in which a plurality of battery cells are connected in series and / or parallel, and can also be used as a battery rack including a plurality of battery modules and a rack frame for accommodating such battery modules.

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

[0005] Such batteries can have their status and operation managed and controlled by a battery management system (BMS), which can be included together with the batteries within a single device.

[0006] The battery management system can also manage and control the battery remotely 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 the vehicle and manage and control the battery using the collected data. Summary of the Invention [Problem to be solved by the invention]

[0007] If a short circuit or other type of fault occurs inside the battery, the possibility of damage to the device containing the battery (e.g., EV, ESS) increases. Therefore, measures are needed to detect abnormal battery conditions and reduce the possibility of damage to the device containing the battery.

[0008] Conventionally, battery cell diagnosis has been performed using a calculation method that uses all of the SOC (State of Charge), current, capacity, and OCV (Open Circuit Voltage) information. Because this diagnosis method requires the use of many factors, it can be difficult to perform diagnosis if certain information is missing. This can be problematic in battery management systems implemented using a server device that must collect data from vehicles, resulting in excessive memory usage. Therefore, there is a need to simplify the data required for battery diagnosis.

[0009] The embodiments disclosed in this document can provide a battery diagnostic device and an operating method thereof that can diagnose abnormalities in a battery using only the OCV data information of the battery.

[0010] 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 following description. [Means for solving the problem]

[0011] A battery diagnostic device according to one embodiment disclosed in this document may include an acquisition unit that acquires OCV (Open Circuit Voltage) data of a battery cell; a calculation unit that calculates an OCV change value indicating an OCV change value for each of a plurality of battery cells included in a specific battery module in a specified time interval based on the OCV data, and calculates an OCV deviation value relative to the average indicating a difference between an average OCV change value of the plurality of battery cells and an OCV change value of a specific battery cell among the plurality of battery cells; and a diagnosis unit that diagnoses an abnormality in the specific battery cell based on the OCV deviation value of the specific battery cell relative to the average.

[0012] In one embodiment of a battery diagnostic device disclosed in this document, the specified time interval may be a time interval between a first point in time before charging of the battery cell and a second point in time after the charging.

[0013] In one embodiment of the battery diagnostic device disclosed in this document, the diagnostic unit increases a diagnostic count of the specific battery cell when the OCV deviation value of the specific battery cell from the average satisfies a first specified range, decreases the diagnostic count of the specific battery cell when the OCV deviation value of the specific battery cell from the average satisfies a second specified range different from the first specified range, and diagnoses the specific battery cell as an abnormal battery cell when the diagnostic count of the specific battery cell reaches a threshold count.

[0014] In one embodiment of the battery diagnostic device disclosed in this document, the calculation unit calculates a maximum-average OCV deviation value indicating the difference between the maximum OCV change value of the plurality of battery cells and the average OCV change value of the plurality of battery cells, and the diagnosis unit can diagnose an abnormality in the specific battery module based on the maximum-average OCV deviation value.

[0015] In one embodiment of the battery diagnostic device disclosed in this document, the calculation unit calculates a plurality of OCV change values ​​for each of the plurality of battery cells over a plurality of time intervals based on the OCV data, calculates a plurality of reference values ​​that correspond one-to-one to each of the plurality of battery cells and indicate an average value of at least a portion of the plurality of OCV change values ​​over the plurality of time intervals for each of the plurality of battery cells, and calculates a maximum reference value that indicates the maximum value of the plurality of reference values, and the diagnostic unit can diagnose an abnormality in the specific battery module based on the maximum reference value for the specific battery module.

[0016] In one embodiment of the battery diagnostic device disclosed in this document, the calculation unit calculates a plurality of maximum reference values ​​that correspond one-to-one to each of a plurality of battery modules included in a battery pack, and the diagnostic unit can diagnose an abnormality in the battery pack based on the maximum value among the plurality of maximum reference values ​​of the plurality of battery modules.

[0017] In one embodiment of the battery diagnostic device disclosed in this document, the calculation unit can extract OCV data within a specified voltage range from the OCV data, and calculate the OCV change value of each of the plurality of battery cells based on the extracted OCV data within the specified voltage range.

[0018] A battery diagnosis method according to one embodiment disclosed herein may include the following operations: acquiring OCV (Open Circuit Voltage) data of a battery cell; calculating an OCV change value indicating an OCV change value for each of a plurality of battery cells included in a specific battery module in a specified time interval based on the OCV data; calculating an OCV deviation value relative to the average indicating a difference between an average OCV change value of the plurality of battery cells and an OCV change value of a specific battery cell among the plurality of battery cells; and diagnosing an abnormality in the specific battery cell based on the OCV deviation value relative to the average of the specific battery cell.

[0019] In one embodiment of the battery diagnosis method disclosed herein, the specified time interval may be a time interval between a first point in time before charging of the battery cell and a second point in time after the charging.

[0020] In one embodiment of a battery diagnostic method disclosed herein, the operation of diagnosing an abnormality in the specific battery cell may include an operation of increasing a diagnostic count of the specific battery cell when the OCV deviation value of the specific battery cell relative to the average satisfies a first specified range; an operation of decreasing the diagnostic count of the specific battery cell when the OCV deviation value of the specific battery cell relative to the average satisfies a second specified range different from the first specified range; and an operation of diagnosing the specific battery cell as an abnormal battery cell when the diagnostic count of the specific battery cell reaches a threshold count.

[0021] The battery diagnostic method according to one embodiment disclosed herein may further include an operation of calculating a maximum-average OCV deviation value indicating the difference between the maximum OCV change value of the plurality of battery cells and the average OCV change value of the plurality of battery cells, and an operation of diagnosing an abnormality in the specific battery module based on the maximum-average OCV deviation value.

[0022] A battery diagnostic method according to one embodiment disclosed herein may further include an operation of calculating a plurality of OCV change values ​​for each of the plurality of battery cells in a plurality of time intervals based on the OCV data; an operation of calculating a plurality of reference values ​​that correspond one-to-one to each of the plurality of battery cells and indicate an average value of at least a portion of the plurality of OCV change values ​​for each of the plurality of battery cells in the plurality of time intervals; an operation of calculating a maximum reference value that indicates the maximum value of the plurality of reference values; and an operation of diagnosing an abnormality in the specific battery module based on the maximum reference value for the specific battery module.

[0023] A battery diagnostic method according to one embodiment disclosed herein may further include an operation of calculating a plurality of maximum reference values ​​corresponding one-to-one to each of a plurality of battery modules included in a battery pack, and an operation of diagnosing an abnormality in the battery pack based on the maximum value among the plurality of maximum reference values ​​of the plurality of battery modules.

[0024] In one embodiment of the battery diagnostic method disclosed herein, the operation of calculating the OCV change value for each of the plurality of battery cells may include an operation of extracting OCV data within a specified voltage range from the OCV data, and an operation of calculating the OCV change value for each of the plurality of battery cells based on the extracted OCV data within the specified voltage range. [Effects of the Invention]

[0025] According to the embodiments disclosed herein, the data used for diagnosing a battery abnormality can be simplified. In addition, this document can provide various other benefits that can be perceived directly or indirectly. [Brief explanation of the drawings]

[0026] [Figure 1] 1 is a block diagram of a battery diagnostic device according to an embodiment; [Figure 2] 1 is a diagram for explaining an embodiment in which a battery diagnostic device diagnoses an abnormality in a battery cell; [Figure 3] 1 is a diagram for explaining an embodiment in which a battery diagnostic device diagnoses an abnormality in a battery module. [Figure 4] 1 is a diagram for explaining an embodiment in which a battery diagnostic device diagnoses an abnormality in a battery module. [Figure 5] 1 is a diagram for explaining an embodiment in which a battery diagnostic device diagnoses an abnormality in a battery pack; [Figure 6] 4 is an operation flowchart of the battery diagnostic device according to one embodiment. [Figure 7] 4 is an operation flowchart of the battery diagnostic device according to one embodiment. [Figure 8] 4 is an operation flowchart of the battery diagnostic device according to one embodiment. [Figure 9] 4 is an operation flowchart of the battery diagnostic device according to one embodiment. [Figure 10] 4 is an operation flowchart of the battery diagnostic device according to one embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0027] Various embodiments of the present invention will now be described with reference to the accompanying drawings, although it should be understood that this is not intended to limit the invention to the particular embodiments, but rather to include various modifications, equivalents, and / or alternatives to the embodiments of the present invention.

[0028] The various embodiments and terms used in this document are not intended to limit the technical features described in this document to a specific embodiment, but should be understood to include various modifications, equivalents, or alternatives of the embodiment. In connection with the description of the drawings, like reference numerals may be used for like or related components. The singular form of a noun corresponding to an item may include one or more of the said item unless the relevant context clearly dictates otherwise.

[0029] In this document, each phrase 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 or all possible combinations of the items listed with that phrase. Terms such as "first," "second," "first," "second," "A," "B," "(a)," or "(b)" may be used simply to distinguish that element from other elements and do not limit that element in other respects (e.g., importance or order) unless specifically stated to the contrary.

[0030] In this document, when a (e.g., first) component is referred to as being "coupled," "coupled," or "connected" to another (e.g., second) component, with or without the terms "functionally" or "communicatively," or when a reference is made to "coupled" or "connected," this means that the component may be coupled to the other component directly (e.g., by wire), wirelessly, or through a third component.

[0031] According to various embodiments, each of the aforementioned components (e.g., modules or programs) may include one or more entities, and some of the entities may be located separately in other components. According to various embodiments, one or more of the aforementioned components or operations may be omitted, or one or more other components or operations may be added. Alternatively or additionally, multiple components (e.g., modules or programs) 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 respective components of the multiple components before the integration. According to various embodiments, operations performed by modules, programs, or other components may be performed sequentially, in parallel, iteratively, or heuristically, or one or more of the operations may be performed in a different order, omitted, or one or more other operations may be added.

[0032] FIG. 1 is a block diagram of a battery diagnostic device according to an embodiment. 1 , a battery pack 110 includes a plurality of battery modules 120, 130, and 140, and each of the battery modules 120, 130, and 140 includes a plurality of battery cells 121, 122, 123, 131, 132, 133, 141, 142, and 143. According to one embodiment, the battery pack 110 may be a battery installed inside an electric vehicle to provide power to the electric vehicle.

[0033] According to one embodiment, the battery diagnostic device 150 can diagnose an abnormality in the battery unit based on OCV data acquired from the battery unit. In this disclosure, a battery unit may refer to the battery pack 110, a battery module (120, 130, or 140), or a battery cell (121, 122, 123, 131, 132, 133, 141, 142, or 143).

[0034] According to an embodiment, the battery diagnostic device 150 may be integrally formed with the battery unit, and in this case, the battery diagnostic device 150 may be included in a BMS (Battery Management System) of the battery unit.

[0035] According to an 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 connected to the battery unit via a wireless network.

[0036] According to one embodiment, the battery diagnostic device 150 may include an acquiring unit 151 , a calculating unit 152 , and a diagnosing unit 153 . According to one embodiment, the acquisition unit 151 may acquire OCV data of the battery cells (121, 122, 123, 131, 132, 133, 141, 142, and / or 143). For example, the acquisition unit 151 may measure the voltage, current, and / or temperature of the battery cells (121, 122, 123, 131, 132, 133, 141, 142, and / or 143) and configure the OCV data based on the measured information. In this case, the acquisition unit 151 may include sensors for measuring the voltage, current, and / or temperature and a processor for configuring the OCV data based on the measured information. As another example, the acquisition unit 151 may receive OCV data of the battery cells (121, 122, 123, 131, 132, 133, 141, 142, and / or 143) acquired by the battery unit. In this case, the acquisition unit 151 may include a communication circuit capable of wired and / or wireless network communication.

[0037] According to one embodiment, the calculation unit 152 may calculate a judgment value (e.g., an OCV change value, an OCV deviation value relative to the average, a maximum-average OCV deviation value, a reference value, and / or a maximum reference value) based on the OCV data acquired by the acquisition unit 151. According to one embodiment, the calculation unit 152 may extract OCV data within a specified voltage range from the OCV data. The calculation unit 152 may calculate a judgment value based on the extracted OCV data within the specified voltage range. Various embodiments in which the calculation unit 152 calculates the judgment value will be described in detail with reference to FIGS. 2 to 5, which will be described later.

[0038] According to one embodiment, the diagnosing unit 153 can diagnose an abnormality in the battery unit based on the determination value calculated by the calculating unit 152. According to one embodiment, the diagnosis unit 153 can compare the judgment value with a corresponding threshold value to diagnose an abnormality in the battery unit. For example, if the judgment value (e.g., the maximum-average OCV deviation value) is equal to or greater than a threshold value (e.g., 0.015 mV), the diagnosis unit 153 can diagnose the battery unit (e.g., the battery module (120, 130, or 140)) as an abnormal battery unit.

[0039] According to one embodiment, the diagnosis unit 153 can increase or decrease the diagnosis count based on the range to which the judgment value belongs, compare the diagnosis count with a threshold count, and diagnose an abnormality in the battery unit. According to one embodiment, the diagnosis unit 153 can increase the diagnosis count of the battery unit when the judgment value satisfies a first specified range. The diagnosis unit 153 can decrease the diagnosis count of the battery unit when the judgment value satisfies a second specified range different from the first specified range. The diagnosis unit 153 can diagnose the battery unit as an abnormal battery unit when the diagnosis count reaches the threshold count.

[0040] The calculation unit 152 and the diagnosis unit 153 may be implemented by a single processor or separate processors, where the processor executes software, controls at least one other component (e.g., hardware or software component) of the battery diagnosis device 150 connected to the processor, and performs various data processing or calculations.

[0041] According to the embodiment, the battery diagnostic device 150 can transmit the battery diagnostic results to an external device (e.g., a cloud server or a user terminal). Here, the cloud server can provide a service for providing the battery diagnostic results to each of a plurality of users. Furthermore, the user terminal can include a terminal such as a personal computer (PC) or a smartphone.

[0042] Various embodiments in which the calculation unit 152 and the diagnosis unit 153 diagnose an abnormality in a battery unit will be described below with reference to Figures 2 to 5. Figures 2 to 5 will be described using the configuration of Figure 1 (for example, the battery module 120, the acquisition unit 151, the calculation unit 152, and the diagnosis unit 153).

[0043] FIG. 2 is a diagram for explaining an embodiment in which a battery diagnostic device diagnoses abnormalities in a battery cell. Referring to FIG. 2, the calculation unit 152 may include a first calculation unit 210 and a second calculation unit 220.

[0044] According to an embodiment, the acquisition unit 151 may transmit the OCV data (OCV1, OCV2, OCV3) of the battery cells 121, 122, and 123 to the first calculation unit 210.

[0045] According to one embodiment, the first calculation unit 210 can calculate the OCV change values ​​(dOCV1, dOCV2, dOCV3) of each of the plurality of battery cells 121, 122, 123 included in the battery module 120 in a specified time interval based on the OCV data (OCV1, OCV2, OCV3).

[0046] According to one embodiment, the specified time interval may be set to a time interval between a first time point before charging of the battery cell (121, 122, or 123) and a second time point after the charging. For example, the first calculation unit 210 may calculate a difference value (dOCV1) between the OCV value at the first time point and the OCV value at the second time point based on the OCV data (OCV1) of the battery cell 121. However, this is only one embodiment, and the technical concept of the present disclosure is applicable as long as the first time point and the second time point are different from each other. For example, the first time point may be a time point after charging, and the second time point may be a time point after discharging.

[0047] According to an embodiment, the first calculation unit 210 may transmit the calculated OCV change values ​​(dOCV1, dOCV2, dOCV3) to the second calculation unit 220.

[0048] According to an embodiment, the second calculation unit 220 calculates an OCV deviation value (dOCV) from the average, which indicates a difference between the average OCV change value of the battery cells 121, 122, and 123 and the OCV change value (dOCV1, dOCV2, or dOCV3) of a specific battery cell (121, 122, or 123) among the battery cells 121, 122, and 123, based on the OCV change values ​​(dOCV1, dOCV2, dOCV3) calculated by the first calculation unit 210. D1 , dOCV D2 , or dOCV D3 According to an embodiment, the second calculation unit 220 calculates the OCV deviation (dOCV) of each of the battery cells 121, 122, and 123 relative to the average in the above manner. D1 , dOCV D2 , dOCV D3 ) can be calculated.

[0049] According to an embodiment, the second calculation unit 220 calculates the OCV deviation value (dOCV D1 , dOCV D2 , and / or dOCV D3 ) can be transmitted to the diagnosis unit 153.

[0050] According to an embodiment, the diagnosis unit 153 calculates the OCV deviation value (dOCV) relative to the average calculated by the second calculation unit 220. D1 , dOCV D2 , and / or dOCV D3 ) of the battery cells (121, 122, and / or 123). For example, the diagnosis unit 153 may diagnose an abnormality in the battery cells (121, 122, and / or 123) based on the OCV deviation value (dOCV D1 ) based on which an abnormality in the battery cell 121 can be diagnosed.

[0051] According to one embodiment, the diagnostic unit 153 calculates the deviation of the OCV from the mean (dOCV D1 , dOCV D2 , and / or dOCV D3 ) with a threshold value or a diagnostic counting method can be used to diagnose abnormalities in the battery cell 121.

[0052] FIG. 3 is a diagram for explaining an embodiment in which a battery diagnostic device diagnoses an abnormality in a battery module. 3, the calculation unit 152 may include a first calculation unit 210 and a third calculation unit 310. Hereinafter, a detailed description of the configuration described in FIG. 2 (for example, the acquisition unit 151 and the first calculation unit 210) will be omitted.

[0053] According to an embodiment, the first calculation unit 210 may transmit the calculated OCV change values ​​(dOCV1, dOCV2, dOCV3) to the third calculation unit 310.

[0054] According to an embodiment, the third calculation unit 310 calculates a maximum-average OCV deviation value (dOCV) representing a difference between the maximum OCV change value of the battery cells 121, 122, and 123 and the average OCV change value of the battery cells 121, 122, and 123 based on the OCV change values ​​(dOCV1, dOCV2, and dOCV3) calculated by the first calculation unit 210. CA ) can be calculated. According to an embodiment, the third calculation unit 310 may transmit the calculated maximum-average OCV deviation value to the diagnosis unit 153 .

[0055] According to an embodiment, the diagnosis unit 153 can diagnose an abnormality in the battery module 120 based on the maximum-average OCV deviation value calculated by the third calculation unit 310.

[0056] According to an embodiment, the diagnosis unit 153 may diagnose abnormalities in the battery module 120 using a method of comparing the maximum-average OCV deviation value with a threshold or a diagnosis counting method.

[0057] FIG. 4 is a diagram for explaining an embodiment in which a battery diagnostic device diagnoses an abnormality in a battery module. Referring to FIG. 4, the calculation unit 152 may include a first calculation unit 210, a fourth calculation unit 410, and a fifth calculation unit 420.

[0058] According to an embodiment, the first calculation unit 210 calculates a plurality of OCV change values ​​(dOCV) for a plurality of time intervals for each of the battery cells 121, 122, and 123 based on the OCV data (OCV1, OCV2, and OCV3). 1-1 , dOCV 1-2 , …, dOCV 1-n , dOCV 2-1 , dOCV 2-2 , …, dOCV 2-n , dOCV 3-1 , dOCV 3-2 , …, dOCV 3-n ) can be calculated. Here, the plurality of time intervals can be set to different time intervals before and after charging.

[0059] For example, the first calculation unit 210 calculates a plurality of OCV change values ​​(dOCV 1-1 , dOCV 1-2 , …, dOCV 1-n ) can be calculated. Here, multiple OCV change values ​​(dOCV 1-1 , dOCV1-2 , …, dOCV 1-n ) can have a one-to-one correspondence with each of the plurality of time intervals.

[0060] According to an embodiment, the first calculation unit 210 calculates a plurality of OCV change values ​​(dOCV 1-1 , dOCV 1-2 , …, dOCV 1-n , dOCV 2-1 , dOCV 2-2 , …, dOCV 2-n , dOCV 3-1 , dOCV 3-2 , …, dOCV 3-n ) can be transmitted to the fourth calculation unit 410.

[0061] According to an embodiment, the fourth calculation unit 410 calculates a plurality of OCV change values ​​(dOCV 1-1 , dOCV 1-2 , …, dOCV 1-n , dOCV 2-1 , dOCV 2-2 , …, dOCV 2-n , dOCV 3-1 , dOCV 3-2 , …, dOCV 3-n ) and multiple reference values ​​(dOCV) that represent the average of at least some of the A1 , dOCV A2 , dOCV A3 For example, the fourth calculation unit 410 can calculate a plurality of OCV change values ​​(dOCV 1-1 , dOCV 1-2 , …, dOCV 1-n The average of the 20 largest OCV changes (dOCV A1 ) can be calculated.

[0062] According to an embodiment, the fourth calculation unit 410 calculates a plurality of reference values ​​(dOCV A1 , dOCV A2 , dOCV A3 ) can be transmitted to the fifth calculation unit 420.

[0063] According to one embodiment, the fifth calculation unit 420 calculates a plurality of reference values ​​(dOCV A1 , dOCV A2 , dOCV A3 ) which indicates the maximum value of the maximum standard value (dOCV AM ) can be calculated and transmitted to the diagnosis unit 153.

[0064] According to an embodiment, the diagnosis unit 153 can diagnose an abnormality in the battery module 120 based on the maximum reference value calculated by the fifth calculation unit 420.

[0065] According to an embodiment, the diagnosis unit 153 may diagnose abnormalities in the battery module 120 using a method of comparing a maximum reference value with a threshold value or a diagnosis counting method.

[0066] FIG. 5 is a diagram for explaining an embodiment in which a battery diagnostic device diagnoses an abnormality in a battery pack. According to an embodiment, the fifth calculation unit 420 calculates a plurality of maximum reference values ​​(dOCV) corresponding to a plurality of battery modules (e.g., battery modules 120, 130, and 140 in FIG. 1) included in a battery pack (e.g., battery pack 110 in FIG. 1) in one-to-one correspondence. AM1 , dOCV AM2 , dOCV AM3 ) of the battery module 120. As described above with reference to FIG. 4, the fifth calculation unit 420 calculates the maximum reference value (dOCV AM1 ) of the remaining battery modules 130 and 140 included in the battery pack 110 in the same manner. AM2 , dOCV AM3 ) can be calculated.

[0067] According to an embodiment, the fifth calculation unit 420 calculates the maximum reference values ​​(dOCV AM1 , dOCV AM2 , dOCV AM3 ) can be transmitted to the diagnosis unit 153.

[0068] According to an embodiment, the diagnosis unit 153 calculates the maximum reference values ​​(dOCV) calculated by the fifth calculation unit 420. AM1 , dOCV AM2 , dOCV AM3 ) can be used to diagnose an abnormality in the battery pack 110.

[0069] According to one embodiment, the diagnostic unit 153 may be configured to calculate a plurality of maximum reference values ​​(dOCV AM1 , dOCV AM2 , dOCV AM3 ) with a threshold value or by using a diagnostic counting method, an abnormality in the battery pack 110 can be diagnosed.

[0070] Fig. 6 is an operational flowchart of a battery diagnostic device according to an embodiment. Fig. 6 explains the operation of the battery diagnostic device 150 in Fig. 1, and will be explained using the configuration in Fig. 1.

[0071] The embodiment shown in FIG. 6 is just one embodiment, and the order of steps according to various embodiments of the present invention may differ from that shown in FIG. 6, and some steps shown in FIG. 6 may be omitted, the order between steps may be changed, or steps may be merged.

[0072] 6 , in operation 605, the battery diagnostic device 150 may acquire OCV data of the battery cells (121, 122, 123, 131, 132, 133, 141, 142, and / or 143). For example, the battery diagnostic device 150 may measure the voltage, current, and / or temperature of the battery cells (121, 122, 123, 131, 132, 133, 141, 142, and / or 143) and construct the OCV data based on the measured information. As another example, the battery diagnostic device 150 may receive OCV data of the battery cells (121, 122, 123, 131, 132, 133, 141, 142, and / or 143) acquired by the battery unit.

[0073] In operation 610, the battery diagnostic device 150 can calculate an OCV change value indicating the OCV change value of each of multiple battery cells (e.g., battery cells 121, 122, 123) included in a specific battery module (e.g., battery module 120) during a specified time interval based on the OCV data acquired in operation 605.

[0074] According to one embodiment, the specified time interval may be set to a time interval between a first point in time before charging of the battery cell and a second point in time after the charging.

[0075] According to one embodiment, the battery diagnostic device 150 can extract OCV data within a specified voltage range from the OCV data, and can calculate an OCV change value for each of a plurality of battery cells based on the extracted OCV data within the specified voltage range.

[0076] In operation 615, based on the OCV change value calculated in operation 610, the battery diagnostic device 150 can calculate an OCV deviation value relative to the average, which indicates the difference between the average OCV change value of multiple battery cells (e.g., battery cells 121, 122, 123) and the OCV change value of a specific battery cell (e.g., battery cell (121, 122, or 123)) among the multiple battery cells.

[0077] In operation 620, the battery diagnostic device 150 can diagnose an abnormality in a particular battery cell based on the OCV deviation value relative to the average calculated in operation 615.

[0078] According to one embodiment, the battery diagnostic device 150 may diagnose an abnormality in a specific battery cell by comparing the OCV deviation value relative to the average with a threshold value or by using a diagnostic counting method, which will be described in detail with reference to FIG. 10.

[0079] 7 is a flowchart showing the operation of the battery diagnostic device according to one embodiment. FIG. 7 explains the operation of the battery diagnostic device 150 shown in FIG.

[0080] The embodiment shown in FIG. 7 is just one embodiment, and the order of steps according to various embodiments of the present invention may differ from that shown in FIG. 7, and some steps shown in FIG. 7 may be omitted, the order between steps may be changed, or steps may be merged.

[0081] 7, in operation 705, the battery diagnostic device 150 may acquire OCV data of the battery cells (121, 122, 123, 131, 132, 133, 141, 142, and / or 143). For example, the battery diagnostic device 150 may measure the voltage, current, and / or temperature of the battery cells (121, 122, 123, 131, 132, 133, 141, 142, and / or 143) and construct the OCV data based on the measured information. As another example, the battery diagnostic device 150 may receive OCV data of the battery cells (121, 122, 123, 131, 132, 133, 141, 142, and / or 143) acquired by the battery unit.

[0082] In operation 710, the battery diagnostic device 150 can calculate an OCV change value indicating the OCV change value of each of multiple battery cells (e.g., battery cells 121, 122, 123) included in a specific battery module (e.g., battery module 120) during a specified time interval based on the OCV data acquired in operation 705.

[0083] According to one embodiment, the specified time interval may be set to a time interval between a first point in time before charging of the battery cell and a second point in time after the charging.

[0084] According to one embodiment, the battery diagnostic device 150 can extract OCV data within a specified voltage range from the OCV data, and can calculate an OCV change value for each of a plurality of battery cells based on the extracted OCV data within the specified voltage range.

[0085] In operation 715, the battery diagnostic device 150 can calculate a maximum-average OCV deviation value that indicates the difference between the maximum OCV change value of the battery cell and the average OCV change value of the battery cell based on the OCV change value calculated in operation 710.

[0086] In operation 720 , the battery diagnostic device 150 can diagnose an abnormality in the battery module based on the maximum-average OCV deviation value calculated in operation 715 .

[0087] According to an embodiment, the battery diagnostic device 150 may diagnose abnormalities in the battery module by comparing the maximum-average OCV deviation value with a threshold or by using a diagnostic counting method, which will be described in detail with reference to FIG. 10.

[0088] 8 is a flowchart showing the operation of the battery diagnostic device according to one embodiment. FIG. 8 explains the operation of the battery diagnostic device 150 shown in FIG.

[0089] The embodiment shown in FIG. 8 is just one embodiment, and the order of steps according to various embodiments of the present invention may differ from that shown in FIG. 8, and some steps shown in FIG. 8 may be omitted, the order between steps may be changed, or steps may be merged.

[0090] 8 , in operation 805, the battery diagnostic device 150 may acquire OCV data of the battery cells (121, 122, 123, 131, 132, 133, 141, 142, and / or 143). For example, the battery diagnostic device 150 may measure the voltage, current, and / or temperature of the battery cells (121, 122, 123, 131, 132, 133, 141, 142, and / or 143) and construct the OCV data based on the measured information. As another example, the battery diagnostic device 150 may receive OCV data of the battery cells (121, 122, 123, 131, 132, 133, 141, 142, and / or 143) acquired by the battery unit.

[0091] In operation 810, the battery diagnostic device 150 can calculate a plurality of OCV change values ​​for a plurality of time intervals for each of a plurality of battery cells (e.g., battery cells 121, 122, and 123) based on the OCV data acquired in operation 805. Here, the plurality of time intervals can be set to different time intervals before and after charging.

[0092] According to one embodiment, the battery diagnostic device 150 can extract OCV data within a specified voltage range from the OCV data, and can calculate a plurality of OCV change values ​​for each of a plurality of battery cells based on the extracted OCV data within the specified voltage range.

[0093] In operation 815, the battery diagnostic device 150 may calculate a plurality of reference values ​​for each of the plurality of battery cells. Here, the reference value may represent an average value of at least some of the plurality of OCV change values ​​for a particular battery cell over a plurality of time intervals. For example, the battery diagnostic device 150 may calculate the average value of the 20 largest OCV change values ​​among the plurality of OCV change values ​​for a particular battery cell as the reference value.

[0094] In operation 820 , the battery diagnostic device 150 may calculate a maximum reference value that indicates the maximum value among the plurality of reference values ​​calculated in operation 815 . In operation 825, the battery diagnostic device 150 can diagnose an abnormality in a particular battery module based on the maximum reference value calculated in operation 820.

[0095] According to one embodiment, the battery diagnostic device 150 may diagnose abnormalities in a specific battery module using a method of comparing a maximum reference value with a threshold value or a diagnostic counting method, which will be described in detail with reference to FIG. 10.

[0096] 9 is a flowchart showing the operation of the battery diagnostic device according to one embodiment. FIG. 9 explains the operation of the battery diagnostic device 150 shown in FIG.

[0097] The embodiment shown in FIG. 9 is just one embodiment, and the order of steps according to various embodiments of the present invention may differ from that shown in FIG. 9, and some steps shown in FIG. 9 may be omitted, the order between steps may be changed, or steps may be merged.

[0098] 9, in operation 905, the battery diagnostic device 150 may calculate a plurality of maximum reference values ​​that correspond one-to-one to each of a plurality of battery modules (e.g., battery modules 120, 130, and 140 in FIG. 1) included in a battery pack (e.g., battery pack 110 in FIG. 1). The battery diagnostic device 150 may calculate a plurality of maximum reference values ​​for the plurality of battery modules included in the battery pack in a manner similar to that described above in FIG. 8.

[0099] In operation 910, the battery diagnostic device 150 can diagnose an abnormality in the battery pack based on the maximum value of the plurality of maximum reference values ​​calculated in operation 905.

[0100] According to one embodiment, the battery diagnostic device 150 can diagnose abnormalities in the battery pack using a method of comparing the maximum value among a plurality of maximum reference values ​​with a threshold value or a diagnostic counting method. The diagnostic counting method will be described in detail with reference to FIG. 10.

[0101] Fig. 10 is an operational flowchart of the battery diagnostic device according to one embodiment. Fig. 10 explains the operation of the battery diagnostic device 150 in Fig. 1, and will be explained using the configuration in Fig. 1.

[0102] The embodiment shown in FIG. 10 is just one embodiment, and the order of steps according to various embodiments of the present invention may differ from that shown in FIG. 10, and some steps shown in FIG. 10 may be omitted, the order between steps may be changed, or steps may be merged.

[0103] 10, in operation 1005, the battery diagnostic device 150 can identify a range to which the judgment value belongs. Here, the judgment value can be the OCV change value, the OCV deviation value relative to the average, the maximum-average OCV deviation value, the reference value, or the maximum reference value, as described above with reference to FIGS. 6 to 9.

[0104] If the judgment value is identified as being within the first specified range in operation 1005, the battery diagnostic device 150 can increase the diagnostic count of the battery in operation 1010. For example, if the judgment value, the maximum-average OCV deviation value of the battery module 120, is identified as being within the first specified range of 0.015 mV or more, the battery diagnostic device 150 can increase the diagnostic count of the battery module 120.

[0105] If the judgment value is identified as a second specified range different from the first specified range in operation 1005, the battery diagnostic device 150 can decrease the diagnostic count of the battery in operation 1015. For example, if the judgment value, the maximum-average OCV deviation value of the battery module 120, is identified as being less than 0.015 mV, which is the second specified range, the battery diagnostic device 150 can decrease the diagnostic count of the battery module 120.

[0106] In operation 1020, the battery diagnostic device 150 may identify whether the battery's diagnostic count has reached a threshold count. If operation 1020 identifies that the battery's diagnostic count has reached the threshold count (“YES”), then in operation 1025 the battery diagnostic device 150 may diagnose the battery as an abnormal battery.

[0107] If the diagnostic count of the battery is identified as not reaching the threshold count in operation 1020 (“NO”), then in operation 1030 the battery diagnostic device 150 may diagnose the battery as a normal battery.

[0108] As used above, terms such as "comprise," "comprise," or "have" mean that the relevant element can be contained within the term, unless otherwise specified, and should be interpreted as meaning that other elements may be included, rather than excluding other elements. 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 herein belong, unless otherwise defined. Commonly used terms, such as dictionary-defined terms, should be interpreted to be consistent with the contextual meaning of the relevant art, and should not be interpreted in an idealized or overly formal sense unless expressly defined herein.

Claims

1. an acquisition unit that acquires OCV data of a battery cell; a calculation unit that calculates an OCV change value for each of a plurality of battery cells included in a specific battery module in a specified time interval based on the OCV data, and calculates an OCV deviation value relative to the average, which indicates a difference between an average OCV change value of the plurality of battery cells and an OCV change value of a specific battery cell among the plurality of battery cells; a diagnosis unit that diagnoses an abnormality in the specific battery cell based on an OCV deviation value of the specific battery cell with respect to the average; A battery diagnostic device comprising:

2. The battery diagnostic device according to claim 1 , wherein the specified time period is a time period between a first point in time before charging of the battery cell and a second point in time after the charging.

3. The diagnostic unit If the OCV deviation value of the specific battery cell relative to the average satisfies a first specified range, incrementing a diagnostic count of the specific battery cell; If the OCV deviation value of the specific battery cell relative to the average satisfies a second specified range different from the first specified range, decreasing the diagnostic count of the specific battery cell; The battery diagnostic device according to claim 1 , wherein when the diagnostic count of the specific battery cell reaches a threshold count, the specific battery cell is diagnosed as an abnormal battery cell.

4. the calculation unit calculates a maximum-average OCV deviation value indicating a difference between a maximum OCV change value of the plurality of battery cells and the average OCV change value of the plurality of battery cells; 4. The battery diagnostic device according to claim 1, wherein the diagnostic unit diagnoses an abnormality in the specific battery module based on the maximum-average OCV deviation value.

5. The calculation unit calculating a plurality of OCV change values ​​for a plurality of time intervals for each of the plurality of battery cells based on the OCV data; calculating a plurality of reference values ​​corresponding one-to-one to the plurality of battery cells, each of which indicates an average value of at least a portion of the plurality of OCV change values ​​in the plurality of time intervals for each of the plurality of battery cells; calculating a maximum reference value that indicates the maximum value among the plurality of reference values; The battery diagnostic device according to claim 1 , wherein the diagnostic unit diagnoses an abnormality in the specific battery module based on the maximum reference value of the specific battery module.

6. the calculation unit calculates a plurality of maximum reference values ​​corresponding one-to-one to each of a plurality of battery modules included in the battery pack; The battery diagnostic device according to claim 5 , wherein the diagnostic unit diagnoses an abnormality in the battery pack based on a maximum value among the plurality of maximum reference values ​​of the plurality of battery modules.

7. The calculation unit Extracting OCV data in a specified voltage range from the OCV data; The battery diagnostic device according to claim 1 , further comprising: a step of: calculating the OCV change value of each of the plurality of battery cells based on the extracted OCV data in the specified voltage range.

8. An operation of acquiring OCV data of a battery cell; calculating an OCV change value for each of a plurality of battery cells included in a specific battery module in a specified time interval based on the OCV data; an operation of calculating an OCV deviation value relative to the average, which indicates a difference between an average OCV change value of the plurality of battery cells and an OCV change value of a specific battery cell among the plurality of battery cells; an operation of diagnosing an abnormality in the specific battery cell based on an OCV deviation value of the specific battery cell relative to the average; A battery diagnostic method comprising:

9. 9. The battery diagnosis method of claim 8, wherein the specified time interval is a time interval between a first point in time before charging the battery cell and a second point in time after the charging.

10. The operation of diagnosing an abnormality in the specific battery cell includes: increasing a diagnostic count of the specific battery cell when the OCV deviation value of the specific battery cell from the average satisfies a first specified range; decreasing the diagnostic count of the specific battery cell when the OCV deviation value of the specific battery cell from the average satisfies a second specified range different from the first specified range; The battery diagnostic method according to claim 8 , further comprising: an operation of diagnosing the particular battery cell as an abnormal battery cell when the diagnostic count of the particular battery cell reaches a threshold count.

11. calculating a maximum-average OCV deviation value indicating a difference between a maximum OCV change value of the plurality of battery cells and the average OCV change value of the plurality of battery cells; 11. The battery diagnostic method according to claim 8, further comprising: an operation of diagnosing an abnormality in the specific battery module based on the maximum-average OCV deviation value.

12. calculating a plurality of OCV change values ​​for a plurality of time intervals for each of the plurality of battery cells based on the OCV data; calculating a plurality of reference values ​​corresponding one-to-one to the plurality of battery cells, each of the reference values ​​indicating an average value of at least a portion of the plurality of OCV change values ​​in the plurality of time intervals for each of the plurality of battery cells; an operation of calculating a maximum reference value indicating a maximum value among the plurality of reference values; The battery diagnostic method according to claim 8 , further comprising: an operation of diagnosing an abnormality in the specific battery module based on the maximum reference value of the specific battery module.

13. calculating a plurality of maximum reference values ​​corresponding one-to-one to each of a plurality of battery modules included in the battery pack; The battery diagnostic method according to claim 12 , further comprising: diagnosing an abnormality in the battery pack based on a maximum value among the plurality of maximum reference values ​​of the plurality of battery modules.

14. The operation of calculating the OCV change value of each of the plurality of battery cells includes: An operation of extracting OCV data in a specified voltage range from the OCV data; 11. The battery diagnosis method according to claim 8, further comprising: an operation of calculating the OCV change value of each of the plurality of battery cells based on the extracted OCV data in the specified voltage range.

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