Battery diagnostic apparatus and method of operating same

Abstract

A battery diagnosis apparatus according to an embodiment disclosed herein may include: an acquisition unit for acquiring open circuit voltage (OCV) data of a battery cell; a calculation unit for calculating, based on the OCV data, an OCV change value indicating each of a plurality of battery cells included in a specific battery module in a specified time interval, and calculating an average relative OCV deviation value representing 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 for diagnosing an abnormality of the specific battery cell based on the average relative OCV deviation value of the specific battery cell.

Description

Technical Field

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This application claims priority to and the benefit of Korean Patent Application No. 10-2023-0023231 filed on February 21, 2023, in the Korean Intellectual Property Office, and Korean Patent Application No. 10-2023-0068251 filed on May 26, 2023, in the Korean Intellectual Property Office, the entire contents of which are incorporated herein by reference. Technical Field

[0003] Embodiments disclosed herein relate to a battery diagnostic device and an operating method thereof. Background Art

[0004] Recently, the research and development of secondary batteries is being actively carried out. In this article, the secondary battery as a chargeable / dischargeable battery can include all conventional Ni / Cd batteries (nickel / cadmium batteries), Ni / MH batteries (nickel / metal hydride batteries) etc., and recent lithium ion batteries. In these secondary batteries, lithium ion batteries have an energy density much higher than conventional Ni / Cd batteries, Ni / MH batteries etc. In addition, lithium ion batteries can be made small and lightweight, so that lithium ion batteries have been used as the power source of mobile devices, and recently, their scope of use has been expanded to the power source of electric vehicles, and has attracted much attention as the next generation of energy storage media.

[0005] In addition, the secondary battery can be used as a battery pack including a battery module in which a plurality of battery cells are connected to each other in series and / or parallel, or as a battery rack including a plurality of battery modules and a rack frame for accommodating the battery modules.

[0006] Battery cells, battery modules, battery packs, or battery racks can be used in a variety of devices. For example, batteries can be used not only in mobile devices such as mobile phones, laptops, smartphones, and smart tablets, but also in electric vehicles (EVs, HEVs, and PHEVs), large-capacity energy storage systems (ESSs), and more.

[0007] These batteries can have their status and operation managed and controlled by a battery management system (BMS), which can be included in a device together with the batteries.

[0008] The battery management system can also 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 standalone server device. In this case, the battery management system can collect battery data and vehicle data from vehicles, etc., and use the collected data to manage and control the battery. Summary of the Invention

[0009] Technical issues

[0010] When a short circuit or another type of fault occurs inside a battery, the likelihood of damage to a device including the battery (eg, EV, ESS) may increase. Therefore, a solution is needed to reduce the likelihood of damage to a device including a battery by detecting an abnormal state of the battery.

[0011] Conventionally, battery cell diagnosis has been performed using a calculation scheme that utilizes all of the state of charge (SOC), current, capacity, and open-circuit voltage (OCV) information. This diagnostic approach, due to the numerous factors involved, can make it difficult to perform a diagnosis when specific pieces of information are missing. This can be a significant problem in battery management systems implemented by server devices that must collect data from vehicles, potentially increasing memory usage excessively. Therefore, there is a need for data simplification required for battery diagnosis.

[0012] According to the embodiments disclosed herein, a battery diagnostic apparatus and an operating method thereof may be provided, by which abnormality of a battery may be diagnosed using only battery OCV data information.

[0013] Technical problems of the embodiments disclosed herein are not limited to the above-mentioned technical problems, and other unmentioned technical problems will be clearly understood by those skilled in the art from the following description.

[0014] Technical Solution

[0015] A battery diagnostic device according to an embodiment disclosed herein includes: an acquisition unit configured to acquire open circuit voltage (OCV) data of a battery cell; a calculation unit configured to calculate an OCV change value of each of a plurality of battery cells included in a specific battery module over a specified time period based on the OCV data, and calculate an average relative OCV deviation value 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 configured to diagnose an abnormality of the specific battery cell based on the average relative OCV deviation value of the specific battery cell.

[0016] In the battery diagnosis apparatus according to the embodiment, the designated time period may be set as a time period between a first time point before charging of the battery cell is performed and a second time point after the charging is performed.

[0017] In the battery diagnostic device according to the embodiment, the diagnostic unit may further be configured to: increase a diagnostic count of the specific battery cell when the average relative OCV deviation value of the specific battery cell satisfies a first specified range; decrease the diagnostic count of the specific battery cell when the average relative OCV deviation value of the specific battery cell satisfies a second specified range that is different from the first specified range; and diagnose the specific battery cell as an abnormal battery cell when the diagnostic count of the specific battery cell reaches a threshold count.

[0018] In the battery diagnostic device according to the embodiment, the calculation unit may further be configured to calculate a maximum-average OCV deviation value, wherein the maximum-average OCV deviation value indicates a difference between a maximum OCV change value of the plurality of battery cells and an average OCV change value of the plurality of battery cells, and the diagnostic unit may further be configured to diagnose an abnormality of the specific battery module based on the maximum-average OCV deviation value.

[0019] In the battery diagnostic device according to the embodiment, the calculation unit may further be configured to: calculate a plurality of OCV change values ​​for each of the plurality of battery cells in a plurality of time periods based on the OCV data; calculate a plurality of reference values ​​that respectively correspond one-to-one to each of the plurality of battery cells and indicate an average value of at least some of the plurality of OCV change values ​​for each of the plurality of battery cells in the plurality of time periods; and calculate a maximum reference value indicating a maximum value among the plurality of reference values, and the diagnostic unit may further be configured to diagnose an abnormality of the specific battery module based on the maximum reference value of the specific battery module.

[0020] In the battery diagnostic device according to an embodiment, the calculation unit can also be configured to calculate multiple maximum reference values ​​corresponding one-to-one to each of the multiple battery modules included in the battery pack, and the diagnostic unit can also be configured to diagnose abnormalities of the battery pack based on the maximum value among the multiple maximum reference values ​​of the multiple battery modules.

[0021] In the battery diagnostic apparatus according to an embodiment, the calculation unit may be further configured to: extract OCV data within a specified voltage range from the OCV data; and calculate an OCV change value of each of the plurality of battery cells based on the extracted OCV data within the specified voltage range.

[0022] A battery diagnosis method according to an embodiment disclosed herein includes the following steps: acquiring open circuit voltage (OCV) data of a battery cell; calculating an OCV change value of each of a plurality of battery cells included in a specific battery module within a specified time period based on the OCV data; calculating an average relative OCV deviation value 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 of the specific battery cell based on the average relative OCV deviation value of the specific battery cell.

[0023] In the battery diagnosis method according to the embodiment disclosed herein, the designated time period may be set as a time period between a first time point before charging of the battery cell is performed and a second time point after the charging is performed.

[0024] In a battery diagnostic device according to an embodiment disclosed herein, the step of diagnosing an abnormality of a specific battery cell may include the following steps: when an average relative OCV deviation value of the specific battery cell satisfies a first specified range, increasing a diagnostic count of the specific battery cell; when the average relative OCV deviation value of the specific battery cell satisfies a second specified range that is different from the first specified range, decreasing the diagnostic count of the specific battery cell; and when the diagnostic count of the specific battery cell reaches a threshold count, diagnosing the specific battery cell as an abnormal battery cell.

[0025] The battery diagnosis method according to the embodiment disclosed herein may further include the following steps: calculating a maximum-average OCV deviation value, wherein the maximum-average OCV deviation value indicates a difference between a maximum OCV change value of the plurality of battery cells and an average OCV change value of the plurality of battery cells; and diagnosing an abnormality of the specific battery module based on the maximum-average OCV deviation value.

[0026] The battery diagnosis method according to the embodiment disclosed herein may further include the following steps: calculating a plurality of OCV change values ​​for each of the plurality of battery cells in a plurality of time periods based on the OCV data; calculating a plurality of reference values ​​that respectively correspond one-to-one to each of the plurality of battery cells and indicate an average value of at least some of the plurality of OCV change values ​​for each of the plurality of battery cells in the plurality of time periods; calculating a maximum reference value indicating a maximum value among the plurality of reference values; and diagnosing an abnormality of the specific battery module based on the maximum reference value of the specific battery module.

[0027] The battery diagnosis method according to the embodiment disclosed in this article may also include the following steps: calculating multiple maximum reference values ​​corresponding one-to-one to each of the multiple battery modules included in the battery pack; and diagnosing abnormalities of the battery pack based on the maximum value among the multiple maximum reference values ​​of the multiple battery modules.

[0028] In the battery diagnosis method according to the embodiment disclosed herein, calculating the OCV change value of each of the plurality of battery cells may include the following steps: extracting OCV data within a specified voltage range from the OCV data; and calculating the OCV change value of each of the plurality of battery cells based on the extracted OCV data within the specified voltage range.

[0029] Beneficial effects

[0030] According to the embodiments disclosed herein, data used for abnormality diagnosis of a battery can be simplified.

[0031] Furthermore, various effects directly or indirectly recognized from the present disclosure can be provided. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 is a block diagram of a battery diagnostic apparatus according to an embodiment.

[0033] Figure 2 is a diagram for describing an example in which a battery diagnosis apparatus diagnoses an abnormality of a battery cell.

[0034] Figure 3 is a diagram for describing an example in which a battery diagnosis apparatus diagnoses an abnormality of a battery module.

[0035] Figure 4 is a diagram for describing an example in which a battery diagnosis apparatus diagnoses an abnormality of a battery module.

[0036] Figure 5 is a diagram for describing an example in which a battery diagnostic apparatus diagnoses an abnormality of a battery pack.

[0037] Figure 6 is an operation flow chart of a battery diagnostic apparatus according to an embodiment.

[0038] Figure 7 is an operation flow chart of a battery diagnostic apparatus according to an embodiment.

[0039] Figure 8 is an operation flow chart of a battery diagnostic apparatus according to an embodiment.

[0040] Figure 9 is an operation flow chart of a battery diagnostic apparatus according to an embodiment.

[0041] Figure 10 is an operation flow chart of a battery diagnostic apparatus according to an embodiment. DETAILED DESCRIPTION

[0042] Hereinafter, various embodiments of the present disclosure will be described with reference to the accompanying drawings. However, this description is not intended to limit the present disclosure to a specific embodiment, and should be construed as including various modifications, equivalents and / or alternatives according to the embodiments of the present disclosure.

[0043] It should be understood that the various embodiments of this document and the terms used therein are not intended to limit the technical features described herein to specific embodiments, and include various changes, equivalents, or replacements for the corresponding embodiments. With respect to the description of the drawings, similar reference numerals may be used to refer to similar or related elements. It should be understood that unless the relevant context clearly indicates otherwise, the singular form of a noun corresponding to an item may include one or more of the above-mentioned things.

[0044] As used herein, 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 or all possible combinations of items listed together in the corresponding phrase in the phrase. Unless otherwise specified, such terms as “first,” “second,” “first,” “second,” “A,” “B,” “(a),” or “(b)” may be used to simply distinguish the corresponding component from other components and do not limit these components in other respects (e.g., importance or order).

[0045] Herein, it should be understood that when an element (e.g., a first element) is referred to as being “connected,” “coupled,” or “linked” to another element (e.g., a second element), with or without the term “operably” or “communicatively,” or “coupled to” or “connected to” another element (e.g., a second element), this means that the element can be connected to the other element directly (e.g., by wire), wirelessly, or via a third element.

[0046] According to various embodiments, each component of the above-mentioned components (e.g., module or program) can include a single entity or multiple entities, and some of the multiple entities can be independently arranged in different components. According to various embodiments, one or more of the above-mentioned components can be omitted, or one or more other components can be added. Alternatively or additionally, multiple components (e.g., module or program) can be integrated into a single component. In this case, according to various embodiments, the integrated component can still perform one or more functions of each component in the multiple components in a manner identical or similar to that performed by the corresponding component in the multiple components before integration. According to various embodiments, the operations performed by a module, program or another component can be performed sequentially, in parallel, repeatedly or heuristically, or one or more operations in the operations can be performed or omitted in different orders, or one or more other operations can be added.

[0047] Figure 1 is a block diagram of a battery diagnostic apparatus according to an embodiment.

[0048] Reference Figure 1 The battery pack 110 may include a plurality of battery modules 120, 130, and 140, each including a plurality of battery cells 121, 122, 123, 131, 132, 133, 141, 142, and 143. According to an embodiment, the battery pack 110 may be a battery installed inside an electric vehicle to supply power to the electric vehicle.

[0049] According to an embodiment, the battery diagnostic device 150 can diagnose an abnormality of a battery cell based on open circuit voltage (OCV) data obtained from the battery cell. In the present disclosure, a battery cell can refer to a battery pack 110, a battery module 120, 130, or 140, or a battery cell 121, 122, 123, 131, 132, 133, 141, 142, or 143.

[0050] According to an embodiment, the battery diagnostic device 150 may be formed integrally with the battery cell. In this case, the battery diagnostic device 150 may be included in a battery management system (BMS) of the battery cell.

[0051] According to an embodiment, the battery diagnosis device 150 may be formed separately from the battery cell. In this case, the battery diagnosis device 150 may be implemented using an external server connected to the battery cell through a wireless network.

[0052] According to an embodiment, the battery diagnosis apparatus 150 may include an acquisition unit 151 , a calculation unit 152 , and a diagnosis unit 153 .

[0053] According to an 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 a sensor for measuring the voltage, current, and / or temperature of the battery cells 121, 122, 123, 131, 132, 133, 141, 142, and / or 143, and a processor for configuring the OCV data based on the measured information. In 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 performing wired and / or wireless network communication.

[0054] According to an embodiment, the calculation unit 152 may calculate a judgment value (e.g., an OCV change value, an average-to-OCV deviation value, a maximum-to-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 an embodiment, the calculation unit 152 may extract OCV data within a specified voltage range from the OCV data. The calculation unit 152 may calculate the judgment value based on the extracted OCV data within the specified voltage range. Figures 2 to 5 Various embodiments for calculating the determination value by the calculation unit 152 will be described in detail.

[0055] According to an embodiment, the diagnosis unit 153 may diagnose abnormality of the battery cell based on the judgment value calculated by the calculation unit 152 .

[0056] According to an embodiment, the diagnostic unit 153 may compare the judgment value with a corresponding threshold value to diagnose an abnormality in the battery cell. For example, when the judgment value (e.g., the maximum-average OCV deviation value) is greater than or equal to the threshold value (e.g., 0.015 mV), the diagnostic unit 153 may diagnose the battery cell (e.g., battery module 120, 130, or 140) as an abnormal battery cell.

[0057] According to an embodiment, the diagnostic unit 153 may increase or decrease the diagnostic count based on the range in which the judgment value falls, and compare the diagnostic count with a threshold count to diagnose an abnormality in the battery cell. According to an embodiment, when the judgment value falls within a first specified range, the diagnostic unit 153 may increase the diagnostic count of the battery cell. When the judgment value falls within a second specified range different from the first specified range, the diagnostic unit 153 may decrease the diagnostic count of the battery cell. When the diagnostic count reaches the threshold count, the diagnostic unit 153 may diagnose the battery cell as an abnormal battery cell.

[0058] The calculation unit 152 and the diagnosis unit 153 may be implemented as a single processor or independent processors. Here, the processor may execute software to control at least one other component (eg, hardware or software component) of the battery diagnosis device 150 connected to the processor, and may process or calculate various data.

[0059] Depending on the embodiment, the battery diagnostic device 150 may transmit the battery diagnostic results to an external source (e.g., a cloud server or a user terminal). Here, the cloud server may provide a service for providing battery diagnostic results to each of a plurality of users. In addition, the user terminal may include a terminal such as a personal computer (PC), a smartphone, etc.

[0060] In the following, reference will be made to Figures 2 to 5 Various embodiments are described in which the calculation unit 152 and the diagnosis unit 153 diagnose abnormalities of battery cells. Figures 2 to 5 Can be used Figure 1 The individual components (e.g., battery module 120, acquisition unit 151, calculation unit 152, diagnosis unit 153) are described.

[0061] Figure 2 is a diagram for describing an example in which a battery diagnosis apparatus diagnoses an abnormality of a battery cell.

[0062] Reference Figure 2 , the computing unit 152 may include a first computing unit 210 and a second computing unit 220 .

[0063] According to an embodiment, the acquiring unit 151 may transmit the OCV data OCV1 , OCV2 , and OCV3 of the battery cells 121 , 122 , and 123 to the first calculating unit 210 .

[0064] According to an embodiment, the first calculation unit 210 may calculate OCV change values ​​dOCV1 , dOCV2 , and dOCV3 of each of the plurality of battery cells 121 , 122 , and 123 included in the battery module 120 in a designated period based on the OCV data OCV1 , OCV2 , and OCV3 .

[0065] Depending on the embodiment, the designated time period may be set to the time period between a first time point before charging of the battery cell 121, 122, or 123 and a second time point after charging. For example, the first calculation unit 210 may calculate the difference 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 merely one embodiment, and the technical spirit of the present disclosure may be applied as long as the first time point and the second time point are different in time. 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.

[0066] According to an embodiment, the first calculation unit 210 may transmit the calculated OCV variation values ​​dOCV1 , dOCV2 , and dOCV3 to the second calculation unit 220 .

[0067] According to an embodiment, the second calculation unit 220 may calculate an average relative OCV deviation value dOCV indicating a difference between an average OCV change value of the battery cells 121, 122, and 123 and an 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 value dOCV1, dOCV2, or dOCV3 calculated by the first calculation unit 210. D1 dOCV D2 or dOCV D3 According to an embodiment, the second calculation unit 220 may calculate the average relative OCV deviation value dOCV of each of the battery cells 121 , 122 , and 123 in the aforementioned manner. D1 dOCV D2 or dOCV D3 .

[0068] According to an embodiment, the second calculation unit 220 may calculate the average relative OCV deviation value dOCV D1 dOCV D2 or dOCV D3 Sent to the diagnosis unit 153.

[0069] According to an embodiment, the diagnosis unit 153 may calculate the average relative OCV deviation value dOCV calculated by the second calculation unit 220 based on the average relative OCV deviation value dOCV. D1 dOCV D 2 and / or dOCV D3 To diagnose abnormalities of the battery cells 121, 122 and / or 123. For example, the diagnosis unit 153 may be based on the average relative OCV deviation value dOCV D1 To diagnose abnormalities in the battery cell 121 .

[0070] According to an embodiment, the diagnosis unit 153 may use the average relative OCV deviation value dOCV to D1 dOCV D2 and / or dOCV D3 The abnormality of the battery cell 121 is diagnosed by a scheme of comparing with a threshold value or a diagnostic counting scheme.

[0071] Figure 3 is a diagram for describing an example in which a battery diagnosis apparatus diagnoses an abnormality of a battery module.

[0072] Reference Figure 3 , the calculation unit 152 may include a first calculation unit 210 and a third calculation unit 310. In the following, reference to Figure 2 Detailed description of the components described (e.g., the acquisition unit 151 and the first calculation unit 210).

[0073] According to an embodiment, the first calculation unit 210 may transmit the calculated OCV variation values ​​dOCV1 , dOCV2 , and dOCV3 to the third calculation unit 310 .

[0074] According to an embodiment, the third calculation unit 310 may calculate a maximum-average OCV deviation value dOCV indicating a difference between a maximum OCV change value of the battery cells 121, 122, and 123 and an average OCV change value of the battery cells 121, 122, and 123 based on the OCV change value dOCV1, dOCV2, or dOCV3 calculated by the first calculation unit 210. CA .

[0075] According to an embodiment, the third calculation unit 310 may transmit the calculated maximum-average OCV deviation value to the diagnosis unit 153 .

[0076] According to an embodiment, the diagnosis unit 153 may diagnose abnormality of the battery module 120 based on the maximum-average OCV deviation value calculated by the third calculation unit 310 .

[0077] According to an embodiment, the diagnosis unit 153 may diagnose abnormality of the battery cell 120 by using a scheme of comparing a maximum-average OCV deviation value with a threshold value or a diagnosis counting scheme.

[0078] Figure 4 is a diagram for describing an example in which a battery diagnosis apparatus diagnoses an abnormality of a battery module.

[0079] Reference Figure 4 , the computing unit 152 may include a first computing unit 210 , a fourth computing unit 410 and a fifth computing unit 420 .

[0080] According to an embodiment, the first calculation unit 210 may calculate a plurality of OCV change values ​​dOCV for each of the battery cells 121, 122, and 123 in a plurality of time periods 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 Here, the multiple time periods may be set as different time periods before and after charging.

[0081] For example, the first calculation unit 210 may calculate a plurality of OCV change values ​​dOCV in a plurality of time periods based on the OCV data OCV1 of the battery cell 121. 1-1 dOCV 1-2 ,…,dOCV 1-n Here, multiple OCV change values ​​dOCV 1-1 dOCV 1-2 ,…,dOCV 1-n Each of the may correspond one-to-one to each of the plurality of time periods.

[0082] According to an embodiment, the first calculation unit 210 may calculate 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 Sent to the fourth computing unit 410.

[0083] According to an embodiment, the fourth calculation unit 410 may calculate a plurality of reference values ​​dOCV A1 dOCV A2 and dOCV A3 , which indicates a plurality of calculated OCV change values ​​dOCV for each of the battery cells 121, 122, and 123 in a plurality of time periods 1-1 dOCV 1-2 ,…,dOCV 1-n dOCV 2-1 dOCV 2-2 ,…,dOCV 2-n dOCV3-1 dOCV 3-2 ,…,dOCV 3-n For example, the fourth calculation unit 410 may calculate a plurality of OCV change values ​​dOCV of the battery cell 121. 1-1 dOCV 1-2 ,…,dOCV 1-n The average value of the 20 largest OCV changes is dOCV A1 .

[0084] According to an embodiment, the fourth calculation unit 410 may calculate a plurality of reference values ​​dOCV A1 dOCV A2 and dOCV A3 Sent to the fifth computing unit 420.

[0085] According to an embodiment, the fifth calculation unit 420 may calculate a plurality of reference values ​​dOCV. A1 dOCV A2 and dOCV A3 The maximum reference value dOCV of the maximum value AM and sends it to the diagnosis unit 153.

[0086] According to an embodiment, the diagnosis unit 153 may diagnose abnormality of the battery module 120 based on the maximum reference value calculated by the fifth calculation unit 420 .

[0087] According to an embodiment, the diagnosis unit 153 may diagnose abnormality of the battery module 120 by using a scheme of comparing a maximum reference value with a threshold value or a diagnosis counting scheme.

[0088] Figure 5 is a diagram for describing an example in which a battery diagnostic apparatus diagnoses an abnormality of a battery pack.

[0089] According to an embodiment, the fifth calculation unit 420 may calculate the values ​​of the batteries included in the battery pack (eg, Figure 1 A plurality of battery modules (eg, Figure 1 The maximum reference values ​​dOCV of the battery modules 120, 130 and 140 are one-to-one corresponding to each other. AM1 dOCV AM2 and dOCV AM3 The fifth calculation unit 420 can refer to Figure 4 The maximum reference value dOCV of the battery module 120 is calculated as described AM1 In the same manner, the fifth calculation unit 420 may calculate the maximum reference values ​​dOCV of the other battery modules 130 and 140 included in the battery pack 110 AM2and dOCV AM3 .

[0090] According to an embodiment, the fifth calculation unit 420 may calculate a plurality of reference values ​​dOCV AM1 dOCV AM2 and dOCV AM3 Sent to the diagnosis unit 153.

[0091] According to an embodiment, the diagnosis unit 153 may calculate the maximum reference values ​​dOCV based on the plurality of maximum reference values ​​dOCV calculated by the fifth calculation unit 420. AM1 dOCV AM2 and dOCV AM3 The maximum reference value among them is used to diagnose abnormality of the battery module 110.

[0092] According to an embodiment, the diagnosis unit 153 may be configured to use a plurality of maximum reference values ​​dOCV. AM1 dOCV AM2 and dOCV AM3 The abnormality of the battery pack 110 is diagnosed by a scheme of comparison with a threshold value or a diagnostic counting scheme.

[0093] Figure 6 FIG. 1 is an operation flow chart of a battery diagnostic device according to an embodiment. Figure 6 right Figure 1 The operation of the battery diagnostic device 150 will be described, Figure 6 Can be used Figure 1 The components described Figure 6 .

[0094] Figure 6 The embodiments shown in the drawings may be examples, and the order of operations according to various embodiments of the present disclosure may be different from Figure 6 The order shown in the Figure 6 For some of the operations shown in , the order of the operations may be changed, or the operations may be combined.

[0095] Reference Figure 6 In operation 605, the battery diagnostic device 150 may obtain 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 configure the OCV data based on the measured information. In another example, the battery diagnostic device 150 may receive the OCV data of the battery cells 121, 122, 123, 131, 132, 133, 141, 142, and / or 143 obtained by the battery unit.

[0096] In operation 610, the battery diagnostic device 150 may calculate an OCV change value based on the OCV data acquired in operation 605, the OCV change value indicating an OCV change value of each of a plurality of battery cells (e.g., battery cells 121, 122, and 123) included in a specific battery module (e.g., battery module 120) over a specified time period.

[0097] According to an embodiment, the designated time period may be set as a time period between a first time point before the battery cell performs charging and a second time point after the battery cell performs charging.

[0098] According to an embodiment, the battery diagnosis apparatus 150 may extract OCV data within a specified voltage range from the OCV data and may calculate an OCV variation value of each of the plurality of battery cells based on the extracted OCV data within the specified voltage range.

[0099] In operation 615, the battery diagnostic device 150 may calculate an average relative OCV deviation value indicating a difference between an average OCV change value of a plurality of battery cells (e.g., battery cells 121, 122, and 123) and an OCV change value of a specific battery cell (e.g., battery cell 121, 122, or 123) among the plurality of battery cells based on the OCV change value calculated in operation 610.

[0100] In operation 620 , the battery diagnostic apparatus 150 may diagnose abnormality of a specific battery cell based on the average relative OCV deviation value calculated in operation 615 .

[0101] According to an embodiment, the battery diagnostic apparatus 150 may diagnose abnormality of the battery cell 120 by using a scheme of comparing an average relative OCV deviation value with a threshold value or a diagnostic counting scheme. Figure 10 Describe the diagnostic counting scheme in detail.

[0102] Figure 7 FIG. 1 is an operation flow chart of a battery diagnostic device according to an embodiment. Figure 7 right Figure 1 The operation of the battery diagnostic device 150 will be described, Figure 7 Can be used Figure 1 Component description.

[0103] Figure 7 The embodiments shown in the drawings may be examples, and the order of operations according to various embodiments of the present disclosure may be different from Figure 7 is different from that shown in Figure 7For some of the operations shown in , the order of the operations may be changed, or the operations may be combined.

[0104] Reference Figure 7 In operation 705, the battery diagnostic device 150 may obtain 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 configure the OCV data based on the measured information. In another example, the battery diagnostic device 150 may receive the OCV data of the battery cells 121, 122, 123, 131, 132, 133, 141, 142, and / or 143 obtained by the battery unit.

[0105] In operation 710, the battery diagnostic device 150 may calculate an OCV change value indicating an OCV change value of each of a plurality of battery cells (e.g., battery cells 121, 122, and 123) included in a specific battery module (e.g., battery module 120) over a specified time period based on the OCV data acquired in operation 705.

[0106] According to an embodiment, the designated time period may be set as a time period between a first time point before charging of the battery cell and a second time point after charging is performed.

[0107] According to an embodiment, the battery diagnostic apparatus 150 may extract OCV data within a specified voltage range from the OCV data and may calculate an OCV variation value of each of the plurality of battery cells based on the extracted OCV data within the specified voltage range.

[0108] In operation 715 , the battery diagnostic apparatus 150 may calculate a maximum-average OCV deviation value indicating a difference between a maximum OCV variation value of the battery cells and an average OCV variation value of the battery cells based on the OCV variation values ​​calculated in operation 710 .

[0109] In operation 720 , the battery diagnostic apparatus 150 may diagnose abnormality of the battery module based on the maximum-average OCV deviation value calculated in operation 715 .

[0110] According to an embodiment, the battery diagnosis unit 150 may diagnose abnormality of the battery module by using a scheme of comparing the maximum-average OCV deviation value with a threshold value or a diagnosis counting scheme. Figure 10 Describe the diagnostic counting scheme in detail.

[0111] Figure 8FIG. 1 is an operation flow chart of a battery diagnostic device according to an embodiment. Figure 8 right Figure 1 The operation of the battery diagnostic device 150 will be described, Figure 8 Can be used Figure 8 Component description.

[0112] Figure 8 The embodiments shown in the drawings may be examples, and the order of operations according to various embodiments of the present disclosure may be different from Figure 8 The order shown in the Figure 8 For some of the operations shown in , the order of the operations may be changed, or the operations may be combined.

[0113] Reference Figure 8 In operation 805, the battery diagnostic device 150 may obtain 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 configure the OCV data based on the measured information. In another example, the battery diagnostic device 150 may receive the OCV data of the battery cells 121, 122, 123, 131, 132, 133, 141, 142, and / or 143 obtained by the battery unit.

[0114] In operation 810, the battery diagnostic apparatus 150 may calculate a plurality of OCV change values ​​for each of a plurality of battery cells (e.g., battery cells 121, 122, and 123) in a plurality of time periods based on the OCV data acquired in operation 805. The plurality of time periods may be set to different time periods before and after charging.

[0115] According to an embodiment, the battery diagnosis apparatus 150 may extract OCV data within a specified voltage range from the OCV data and may calculate a plurality of OCV variation values ​​for each of the plurality of battery cells based on the extracted OCV data within the specified voltage range.

[0116] 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 indicate an average value of at least some of a plurality of OCV change values ​​for a particular battery cell over a plurality of time periods. For example, the battery diagnostic device 150 may calculate an average value of 20 maximum OCV change values ​​among the plurality of OCV change values ​​for the particular battery cell as the reference value.

[0117] In operation 820 , the battery diagnostic apparatus 150 may calculate a maximum reference value indicating a maximum value among the plurality of reference values ​​calculated in operation 815 .

[0118] In operation 825 , the battery diagnostic apparatus 150 may diagnose abnormality of a specific battery module based on the maximum reference value calculated in operation 820 .

[0119] According to an embodiment, the battery diagnosis unit 150 may diagnose abnormality of a specific battery module by using a scheme of comparing a maximum reference value with a threshold value or a diagnosis counting scheme. Figure 10 Describe the diagnostic counting scheme in detail.

[0120] Figure 9 FIG. 1 is an operation flow chart of a battery diagnostic device according to an embodiment. Figure 9 right Figure 1 The operation of the battery diagnostic device 150 will be described, Figure 9 Can be used Figure 9 Component description.

[0121] Figure 9 The embodiments shown in the drawings may be examples, and the order of operations according to various embodiments of the present disclosure may be different from Figure 9 The order shown in the Figure 9 For some of the operations shown in , the order of the operations may be changed, or the operations may be combined.

[0122] Reference Figure 9 In operation 905, the battery diagnosis device 150 may calculate the battery packs (eg, Figure 1 The battery pack 110 includes a plurality of battery modules (eg, Figure 1 The battery diagnostic device 150 can be used to detect the maximum reference values ​​of the battery modules 120, 130 and 140 in a one-to-one manner. Figure 8 The plurality of maximum reference values ​​of the plurality of battery modules included in the battery pack are calculated in the same manner as described.

[0123] In operation 910 , the battery diagnostic apparatus 150 may diagnose abnormality of the battery pack based on a maximum value among the plurality of maximum reference values ​​calculated in operation 905 .

[0124] According to an embodiment, the battery diagnostic apparatus 150 may diagnose abnormality of the battery pack by using a scheme of comparing a maximum value among a plurality of maximum reference values ​​with a threshold value or a diagnostic counting scheme. Figure 10 Describe the diagnostic counting scheme in detail.

[0125] Figure 10 FIG. 1 is an operation flow chart of a battery diagnostic device according to an embodiment. Figure 10 right Figure 1 The operation of the battery diagnostic device 150 will be described, Figure 10 Can be used Figure 10 Component description.

[0126] Figure 10 The embodiments shown in the drawings may be examples, and the order of operations according to various embodiments of the present disclosure may be different from Figure 10 The order shown in the Figure 10 For some of the operations shown in , the order of the operations may be changed, or the operations may be combined.

[0127] Reference Figure 10 In operation 1005, the battery diagnosis device 150 may identify the range in which the judgment value falls. Here, the judgment value may be a reference value. Figures 6 to 9 Described OCV change value, average relative OCV deviation value, maximum-average OCV deviation value, reference value or maximum reference value.

[0128] When the judgment value is identified as falling within the first specified range in operation 1005, the battery diagnostic apparatus 150 may increase the diagnostic count of the battery in operation 1010. For example, when the maximum-average OCV deviation value of the battery module 120 as the judgment value is within the first specified range of 0.015 mV or greater, the battery diagnostic apparatus 150 may increase the diagnostic count of the battery module 120.

[0129] When the determination value is identified as falling within a second specified range different from the first specified range in operation 1005, the battery diagnostic apparatus 150 may decrease the diagnostic count of the battery in operation 1015. For example, when the maximum-average OCV deviation value of the battery module 120 as the determination value is within the second specified range below 0.015 mV, the battery diagnostic apparatus 150 may increase the diagnostic count of the battery module 120.

[0130] In operation 1020 , the battery diagnostic apparatus 150 may identify whether a diagnostic count of the battery reaches a threshold count.

[0131] When the diagnosis count of the battery is identified as reaching the threshold count ('Yes') in operation 1020 , the battery diagnosis apparatus 150 may diagnose the battery as an abnormal battery in operation 1025 .

[0132] When the diagnosis count of the battery is identified as failing to reach the threshold count ('No') in operation 1020 , the battery diagnosis apparatus 150 may diagnose the battery as a normal battery in operation 1030 .

[0133] Unless otherwise specified, terms such as "including," "consisting of," or "having" may indicate that the corresponding components may be inherent and should therefore be interpreted as further including other components rather than excluding them. Unless otherwise defined, all terms including technical or scientific terms have the same meanings as those commonly understood by those skilled in the art to which the embodiments disclosed herein belong. Terms generally defined in dictionaries should be interpreted as having the same meanings as the contextual meanings of the relevant art and should not be interpreted as having ideal or overly formal meanings unless they are clearly defined in this document.

Claims

1. A battery diagnostic device, comprising: an acquisition unit, configured to acquire open circuit voltage (OCV) data of a battery cell; a calculation unit configured to calculate an OCV change value of each of a plurality of battery cells included in a specific battery module over a specified period of time based on the OCV data, and calculate an average relative OCV deviation value 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; as well as A diagnosis unit is configured to diagnose an abnormality of the specific battery cell based on the average relative OCV deviation value of the specific battery cell.

2. The battery diagnostic device according to claim 1, wherein: The designated time period is set as a time period between a first time point before charging of the battery cell is performed and a second time point after the charging is performed.

3. The battery diagnostic device according to claim 1, wherein: The diagnostic unit is further configured to: When the average relative OCV deviation value of the specific battery cell satisfies a first specified range, increasing a diagnostic count of the specific battery cell; When the average relative OCV deviation value of the specific battery cell satisfies a second specified range that is different from the first specified range, decreasing the diagnostic count of the specific battery cell; and When the diagnosis count of the specific battery cell reaches a threshold count, the specific battery cell is diagnosed as an abnormal battery cell.

4. The battery diagnostic device according to claim 1, wherein: The calculation unit is further configured to calculate a maximum-average OCV deviation value, the maximum-average OCV deviation value indicating a difference between a maximum OCV variation value of the plurality of battery cells and the average OCV variation value of the plurality of battery cells, and The diagnosis unit is further configured to diagnose abnormality of the specific battery module based on the maximum-average OCV deviation value.

5. The battery diagnostic device according to claim 1, wherein The computing unit is further configured to: calculating a plurality of OCV change values ​​for each of the plurality of battery cells in a plurality of time periods based on the OCV data; calculating a plurality of reference values ​​that respectively correspond one-to-one to each of the plurality of battery cells and indicate an average value of at least some of the plurality of OCV change values ​​of each of the plurality of battery cells in the plurality of time periods; as well as calculating a maximum reference value indicating a maximum value among the plurality of reference values, and The diagnosis unit is further configured to diagnose abnormality of the specific battery module based on the maximum reference value of the specific battery module.

6. The battery diagnostic device according to claim 5, wherein: The calculation unit is further configured to calculate a plurality of maximum reference values ​​corresponding one-to-one to each of the plurality of battery modules included in the battery pack, and The diagnosis unit is further configured to diagnose abnormality of the battery pack based on a maximum value among the plurality of maximum reference values ​​of the plurality of battery modules.

7. The battery diagnostic device according to claim 1, wherein: The computing unit is further configured to: Extracting OCV data within a specified voltage range from the OCV data; and The OCV change value of each of the plurality of battery cells is calculated based on the extracted OCV data within a specified voltage range.

8. A battery diagnosis method, comprising the following steps: Obtain the open circuit voltage (OCV) data of the battery cell; calculating an OCV change value of each of a plurality of battery cells included in a specific battery module over a specified time period based on the OCV data; calculating an average relative OCV deviation value 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 Based on the average relative OCV deviation value of the specific battery cell, abnormality of the specific battery cell is diagnosed.

9. The battery diagnosis method according to claim 8, wherein: The designated time period is set as a time period between a first time point before charging of the battery cell is performed and a second time point after the charging is performed.

10. The battery diagnosis method according to claim 8, wherein: The step of diagnosing the abnormality of the specific battery cell includes the following steps: When the average relative OCV deviation value of the specific battery cell satisfies a first specified range, increasing a diagnostic count of the specific battery cell; When the average relative OCV deviation value of the specific battery cell satisfies a second specified range different from the first specified range, decreasing the diagnostic count of the specific battery cell; and When the diagnosis count of the specific battery cell reaches a threshold count, the specific battery cell is diagnosed as an abnormal battery cell.

11. The battery diagnosis method according to claim 8, further comprising the following steps: calculating a maximum-average OCV deviation value indicating a difference between a maximum OCV variation value of the plurality of battery cells and an average OCV variation value of the plurality of battery cells; and Based on the maximum-average OCV deviation value, abnormality of the specific battery module is diagnosed.

12. The battery diagnosis method according to claim 8, further comprising the following steps: calculating a plurality of OCV change values ​​for each of the plurality of battery cells in a plurality of time periods based on the OCV data; calculating a plurality of reference values ​​that respectively correspond one-to-one to each of the plurality of battery cells and indicate an average value of at least some of the plurality of OCV change values ​​of each of the plurality of battery cells in the plurality of time periods; calculating a maximum reference value indicating a maximum value among the plurality of reference values; as well as Based on the maximum reference value of the specific battery module, abnormality of the specific battery module is diagnosed.

13. The battery diagnosis method according to claim 12, further comprising the following steps: calculating a plurality of maximum reference values ​​corresponding one-to-one to each of a plurality of battery modules included in the battery pack; as well as An abnormality of the battery pack is diagnosed based on a maximum value among the plurality of maximum reference values ​​of the plurality of battery modules.

14. The battery diagnosis method according to claim 8, wherein: The step of calculating the OCV change value of each of the plurality of battery cells comprises the following steps: extracting OCV data within a specified voltage range from the OCV data; and An OCV variation value of each of the plurality of battery cells is calculated based on the extracted OCV data within a specified voltage range.

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