Battery abnormality diagnosis apparatus and method of operating same

Abstract

A battery abnormality diagnosis apparatus according to an embodiment disclosed in the present document includes: an acquisition unit for acquiring a voltage-state of charge (SOC) curve of a plurality of battery cells; an identification unit for identifying a specified order of a first number of each of the plurality of battery cells based on the voltage-SOC curve; and a diagnosis unit for diagnosing an abnormality of the plurality of battery cells based on a change in the ranking.

Description

Technical Field

[0001] Cross - Reference to Related Applications

[0002] This application claims the priority and benefit of Korean Patent Application No. 10 - 2022 - 0151062, filed with the Korean Intellectual Property Office on November 11, 2022, the entire contents of which are incorporated herein by reference. Technical Field

[0004] Embodiments disclosed herein relate to a battery abnormality diagnosis device and an operation method thereof. Background Art

[0005] Recently, research and development of secondary batteries have been actively carried out. Herein, secondary batteries, as rechargeable / dischargeable batteries, may include all conventional nickel (Ni) / cadmium (Cd) batteries, Ni / metal hydride (MH) batteries, etc., as well as recent lithium - ion batteries. Among secondary batteries, lithium - ion batteries have a much higher energy density than conventional Ni / Cd batteries, Ni / MH batteries, etc. In addition, lithium - ion batteries can be made small and light in weight, such that lithium - ion batteries have been used as power sources for mobile devices. In addition, as the use range of lithium - ion batteries has expanded to power sources for electric vehicles, lithium - ion batteries are attracting attention as next - generation energy storage media.

[0006] In addition, secondary batteries can be used as a battery pack including battery modules, in which a plurality of battery cells are connected in series and / or in parallel with each other. Secondary batteries can be used as a battery rack including a plurality of battery modules and a rack frame for receiving the battery modules.

[0007] Battery cells, battery modules, battery packs, or battery racks can be used in various devices. For example, batteries can be used not only in mobile devices such as mobile phones, laptop computers, smartphones, smart tablets, etc., but also in fields such as electrically - driven vehicles (EV, HEV, PHEV), large - capacity energy storage systems (ESS), etc.

[0008] These batteries can be managed and controlled in terms of their state and operation by a battery management system (BMS). The battery management system can be included in one device together with the battery. The battery management system can also manage and control the battery in a state separated from the device including the battery. Summary of the Invention

[0009] Technical Problem

[0010] When a short - circuit or another type of failure occurs inside the battery, the possibility of damage to the device including the battery (e.g., EV, ESS) may increase.

[0011] Therefore, a solution is needed to reduce the possibility of damaging a device including a battery by detecting an abnormal state of the battery.

[0012] The technical problems of the embodiments disclosed in this document are not limited to the above technical problems, and those of ordinary skill in the art will clearly understand other unmentioned technical problems from the following description.

[0013] Technical solution

[0014] A battery abnormality diagnosis device according to an embodiment disclosed in this document includes: an acquisition unit configured to acquire voltage-state of charge (SOC) curves of a plurality of battery cells; an identification unit configured to identify a specified first number of rankings for each of the plurality of battery cells based on the voltage-SOC curves; and a diagnosis unit configured to diagnose an abnormality of the plurality of battery cells based on a change in the rankings.

[0015] In an embodiment, the identification unit may also be configured to identify representative voltage values of a first number of SOC intervals in each of the voltage-SOC curves, and identify the rankings based on the representative voltage values.

[0016] In an embodiment, the identification unit may also be configured to identify the average value of the voltage values of each SOC interval in the first number of SOC intervals as the representative voltage value.

[0017] In an embodiment, the diagnosis unit may also be configured to diagnose at least one battery cell having a ranking with a changed reference value or a greater value as an abnormal battery cell among the plurality of battery cells.

[0018] In an embodiment, the reference value may be set based on the number of the plurality of battery cells.

[0019] In an embodiment, the diagnosis unit may also be configured to diagnose at least one battery cell having a ranking with an increased reference value or a greater value during charging or a decreased reference value or a greater value during discharging as an abnormal battery cell among the plurality of battery cells.

[0020] In an embodiment, the acquisition unit may also be configured to acquire voltage-SOC curves of the plurality of battery cells through an external electronic device connected via a wired network and / or a wireless network.

[0021] In an embodiment, the acquisition unit may also be configured to read voltage, current, temperature, or a combination thereof from each of the plurality of battery cells, and generate a voltage-SOC curve based on the read voltage, current, temperature, or a combination thereof.

[0022] In an embodiment, the plurality of battery cells may include one of a battery cell, a battery module, a battery pack, or a battery rack.

[0023] In an embodiment, the battery abnormality diagnosis device may further include an abnormality processing unit configured to perform an abnormality processing function based on the abnormality diagnosis results of a plurality of battery cells, wherein the abnormality processing function includes a notification function or a short-circuit function.

[0024] A method of operating a battery abnormality diagnosis device according to an embodiment disclosed herein includes: obtaining voltage-state of charge (SOC) curves of a plurality of battery cells; identifying a specified first number of rankings for each of the plurality of battery cells based on the voltage-SOC curves; and diagnosing an abnormality of the plurality of battery cells based on a change in the rankings.

[0025] In an embodiment, the identifying step may include identifying representative voltage values of a first number of SOC intervals in each of the voltage-SOC curves, and identifying the rankings based on the representative voltage values.

[0026] In an embodiment, the identifying step may include identifying an average value of the voltage values in each of the first number of SOC intervals as the representative voltage value.

[0027] In an embodiment, the diagnosing step may include diagnosing at least one battery cell having a ranking with a changed reference value or a greater value as an abnormal battery cell among the plurality of battery cells.

[0028] In an embodiment, the reference value may be set based on the number of the plurality of battery cells.

[0029] In an embodiment, the diagnosing step may include diagnosing at least one battery cell having a ranking with an increased reference value or a greater value during charging or a decreased reference value or a greater value during discharging as an abnormal battery cell among the plurality of battery cells.

[0030] In an embodiment, the obtaining step may include obtaining the voltage-SOC curves of the plurality of battery cells through an external electronic device connected via a wired network and / or a wireless network.

[0031] In an embodiment, the obtaining step may include reading voltage, current, temperature, or a combination thereof from each of the plurality of battery cells, and generating a voltage-SOC curve based on the read voltage, current, temperature, or a combination thereof.

[0032] In an embodiment, the plurality of battery cells may include one of a battery cell, a battery module, a battery pack, or a battery rack.

[0033] In an embodiment, the method of operation may further include performing an abnormality processing function based on the abnormality diagnosis results of the plurality of battery cells, wherein the abnormality processing function includes a notification function or a short-circuit function.

[0034] Advantageous Effects

[0035] The battery abnormality diagnosis device and its operation method according to various embodiments disclosed herein can detect the occurrence of a short circuit or another type of failure inside the battery.

[0036] The battery abnormality diagnosis device and its operation method according to various embodiments disclosed herein can handle the detected short circuit or another type of failure inside the battery.

[0037] The effects of the battery abnormality diagnosis device and its operation method according to the disclosure of this document are not limited to the above effects, and other effects not mentioned will be clearly understood by those of ordinary skill in the art according to the disclosure of this document. Description of the Drawings

[0038] Figure 1 A graph showing a voltage - state of charge (SOC) curve.

[0039] Figure 2 Shows a battery abnormality diagnosis device according to an embodiment of the present disclosure.

[0040] Figure 3 Shows a voltage - SOC curve.

[0041] Figure 4 Is a flowchart showing an operation method of a battery abnormality diagnosis device according to an embodiment of the present disclosure.

[0042] Figure 5 Is a flowchart showing an operation method of a battery abnormality diagnosis device according to an embodiment of the present disclosure.

[0043] Regarding the description of the drawings, like reference numerals may be used to refer to like or related components. Detailed Embodiments

[0044] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. However, this description is not intended to limit the present disclosure to specific embodiments, and it should be construed as including various modifications, equivalents, and / or alternatives according to the embodiments of the present disclosure.

[0045] It should be understood that the embodiments of this document and the terms used therein are not intended to limit the technical features set forth herein to specific embodiments, and include various changes, equivalents, or substitutions corresponding to the embodiments. Regarding the description of the drawings, like reference numerals may be used to refer to like or related elements. It should be understood that the singular form of the noun corresponding to an item may include one or more things, unless the relevant context clearly indicates otherwise.

[0046] As used herein, each of the phrases such as "A or B", "at least one of A and B", "at least one of A or B", "A, B, or C", "at least one of A, B, and C", "at least one of A, B, or C" can include any one or all possible combinations of the items listed together in the corresponding phrase in the phrase. Unless otherwise specified, terms such as "first", "second", "the first", "the second", "A", "B", "(a)", or "(b)" may be used simply to distinguish the corresponding component from another component and do not limit the component in other respects (e.g., importance or order).

[0047] In this document, it should be understood that when an element (e.g., a first element) is referred to as being "connected", "coupled", or "linked" or "coupled to" or "connected to" another element (e.g., a second element) with or without the terms "operatively" or "communicatively", it means that the element can be directly (e.g., wired or wirelessly) or indirectly (e.g., via a third element) connected to the other element.

[0048] A method according to various embodiments disclosed herein can be included and provided in a computer program product. The computer program product can be traded as a product between a seller and a buyer. The computer program product can be distributed in the form of a machine-readable storage medium (e.g., a compact disc read-only memory (CD-ROM)), or distributed online via an app store (e.g., downloaded or uploaded), or directly distributed between two user devices. If distributed online, at least a portion of the computer program product can be temporarily generated or at least temporarily stored in a machine-readable storage medium such as the memory of a manufacturer server, the server of an app store, or a relay server.

[0049] According to the embodiments disclosed herein, each of the above components (e.g., a module or a program) can include a single entity or multiple entities, and some of the multiple entities can be separately provided in different components. According to various embodiments disclosed herein, one or more of the above components can be omitted, or one or more other components can be added. Alternatively or additionally, multiple components (e.g., modules or programs) 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 of the multiple components in the same or a similar manner as the corresponding components of the multiple components performed the functions before integration. According to the embodiments disclosed herein, the operations performed by a module, a program, or another component can be performed sequentially, in parallel, repeatedly, or heuristically, or one or more of the operations can be performed in a different order or omitted, or one or more other operations can be added.

[0050] Figure 1 A graph showing a voltage - state of charge (SOC) curve. Refer to Figure 1 , it can be seen that there are a voltage - SOC curve graph 10 showing the normal behavior 11 and the degradation behavior 15 of the battery cell, a voltage - SOC curve graph 20 showing the normal behavior 11 and the abnormal behavior 25 of the battery cell, and a voltage - SOC curve graph 30 showing the normal behavior 11 and the abnormal behavior 35 of the battery cell. Since the battery cell showing abnormal behavior may cause damage to the electronic device. Therefore, it is possible to detect the battery cell with abnormal behavior from the battery cells, and appropriate processing may be required for it.

[0051] Figure 2 is a block diagram of a battery abnormality diagnosis device 101 according to an embodiment of the present disclosure. Figure 3 is a view 310 showing a voltage - SOC curve 311.

[0052] Refer to Figure 2 , the battery abnormality diagnosis device 101 can be connected to the electronic device 103 and the user terminal 105 wired and / or wirelessly.

[0053] In an embodiment, the connection 104 between the battery abnormality diagnosis device 101 and the electronic device 103 can be a communication connection via a wired network and / or a wireless network. In an embodiment, the wired network can be based on local area network (LAN) communication or power line communication. In an embodiment, the wireless network can be based on a short - range communication network (e.g., Bluetooth, Wi - Fi (Wireless Fidelity), or Infrared Data Association (IrDA)) or a long - range communication network (e.g., cellular network, 4G (Fourth Generation) network, 5G (Fifth Generation) network).

[0054] In another embodiment, the connection 104 between the battery abnormality diagnosis device 101 and the electronic device 103 can be a connection using a device - to - device communication scheme (e.g., bus, General Purpose Input and Output (GPIO), Serial Peripheral Interface (SPI), or Mobile Industry Processor Interface (MIPI)).

[0055] In an embodiment, the connection 106 between the battery abnormality diagnosis device 101 and the user terminal 105 can be a communication connection via a wired network and / or a wireless network.

[0056] In an embodiment, the electronic device 103 can be a mobile device (e.g., mobile phone, laptop computer, smart phone, smart board), an electric vehicle (e.g., electric vehicle (EV), hybrid EV (HEV), plug - in HEV (PHEV), fuel cell EV (FCEV)), an energy storage system (ESS), or a battery swapping system (BSS).

[0057] In an embodiment, the electronic device 103 may include one or more battery units 111, 113, and 115. Each of the one or more battery units 111, 113, and 115 may be a battery cell, a battery module, a battery pack, or a battery rack.

[0058] In an embodiment, the user terminal 105 may be a mobile device (e.g., a mobile phone, a laptop computer, a smart phone, a smart board) or a personal computer (PC).

[0059] In an embodiment, the battery abnormality diagnosis device 101 may include a communication circuit 120, a sensor 130, a memory 140, and a processor 150. According to an embodiment, Figure 2 The illustrated battery abnormality diagnosis device 101 may also include at least one component (e.g., a display, an input device, or an output device) in addition to Figure 2 the illustrated components.

[0060] In an embodiment, the communication circuit 120 may establish a wired communication channel and / or a wireless communication channel between the battery abnormality diagnosis device 101 and the electronic device 103 and / or the user terminal 105, and transmit data to the electronic device 103 and / or the user terminal 105 and receive data from the electronic device 103 and / or the user terminal 105 through the established communication channel.

[0061] In an embodiment, the sensor 130 may acquire values related to the states of the battery units 111, 113, and 115 of the electronic device 103. In an embodiment, the values related to the states may indicate one or more values or a combination thereof of the voltage, current, resistance, SOC, state of health (SOH), or temperature of the battery units 111, 113, and 115. Hereinafter, the values related to the states may be referred to as "state values".

[0062] In an embodiment, the memory 140 may include a volatile memory and / or a non-volatile memory.

[0063] In an embodiment, the memory 140 may store data used by at least one component (e.g., the processor 150) of the battery abnormality diagnosis device 101. For example, the data may include software (or instructions related thereto), input data, or output data. In an embodiment, when executed by the processor 150, the instructions may cause the battery abnormality diagnosis device 101 to perform operations defined by the instructions.

[0064] In an embodiment, the memory 140 may include one or more software (e.g., an acquisition unit 141, an identification unit 143, a diagnosis unit 145, and an abnormality processing unit 147).

[0065] In an embodiment, the processor 150 may include a central processing unit, an application processor, a graphics processing unit, a neural processing unit (NPU), an image signal processor, a sensor hub processor, or a communication processor.

[0066] In an embodiment, the processor 150 may execute software (e.g., the acquisition unit 141, the identification unit 143, the diagnosis unit 145, and the exception handling unit 147) to control at least one other component (e.g., a hardware component or a software component) of the battery abnormality diagnosis device 101 connected to the processor 150 and perform various data processing or operations.

[0067] Hereinafter, a method of diagnosing abnormalities of the battery cells 111, 113, and 115 by the battery abnormality diagnosis device 101 through the acquisition unit 141, the identification unit 143, the diagnosis unit 145, and / or the exception handling unit 147 will be described.

[0068] In an embodiment, the acquisition unit 141 may acquire voltage-SOC curves of the plurality of battery cells 111, 113, and 115. In an embodiment, the voltage-SOC curve may indicate the relationship between the SOC and the voltage of a battery cell (e.g., the battery cell 111).

[0069] In an embodiment, the acquisition unit 141 may acquire the voltage-SOC curve of each of the plurality of battery cells 111, 113, and 115 through the electronic device 103 connected via a wired network and / or a wireless network. In another embodiment, the acquisition unit 141 may acquire the voltage, current, temperature, or a combination thereof of the plurality of battery cells 111, 113, and 115 through the electronic device 103 connected via a wired network and / or a wireless network, and generate a voltage-SOC curve based on the acquired voltage, current, temperature, or a combination thereof.

[0070] In an embodiment, the acquisition unit 141 may read the voltage, current, temperature, or a combination thereof from each of the plurality of battery cells 111, 113, and 115, and generate a voltage-SOC curve based on the read voltage, current, temperature, or a combination thereof.

[0071] In an embodiment, the identification unit 143 may identify a specified first number of ranks of each of the plurality of battery cells 111, 113, and 115 based on the voltage-SOC curve. Herein, the specified first number may correspond to the number of SOC intervals. Herein, the specified first number may be less than the number of SOC intervals. Herein, the SOC interval may include an interval for identifying the SOC during the charging of the battery cell from 0% to 100%, and / or an interval for identifying the SOC during the discharging of the battery cell from 100% to 0%.

[0072] For example, referring to Figure 3 , the specified first quantity may be 4, which is the number of SOC intervals R1, R2, R3, and R4 during which the battery cells are charging. In another example, the specified first quantity may be 2, which is less than the number of SOC intervals R1, R2, R3, and R4 during which the battery cells are charging. In an embodiment, the SOC interval R1 may be an interval where the SOC is between 0% and 5%, the SOC interval R2 may be an interval where the SOC is between 5% and 25%, the SOC interval R3 may be an interval where the SOC is between 25% and 60%, and the SOC interval R4 may be an interval where the SOC is between 60% and 100%. Additionally, the specified first quantity may be 8, which includes the SOC intervals R1, R2, R3, and R4 during which the battery cells are charging and the SOC intervals R5, R6, R7, and R8 during which the battery cells are discharging. In another example, the specified first quantity may be 4, which is the sum of two of the SOC intervals R1, R2, R3, and R4 during which the battery cells are charging and two of the SOC intervals R5, R6, R7, and R8 during which the battery cells are discharging. In an embodiment, the SOC interval R5 may be an interval where the SOC is between 100% and 60%, the SOC interval R6 may be an interval where the SOC is between 60% and 25%, the SOC interval R7 may be an interval where the SOC is between 25% and 5%, and the SOC interval R8 may be an interval where the SOC is between 5% and 0%.

[0073] In an embodiment, the identification unit 143 may identify the sorting of the plurality of battery cells 111, 113, and 115 in each of the first quantity of SOC intervals within the SOC intervals. In an embodiment, the first quantity of SOC intervals may include two SOC intervals from the SOC intervals R1, R2, R3, and R4 during which the battery cells are charging and two SOC intervals from the SOC intervals R5, R6, R7, and R8 during which the battery cells are discharging. For example, the identification unit 143 may identify the sorting of the plurality of battery cells 111, 113, and 115 in the SOC interval R1, the sorting of the plurality of battery cells 111, 113, and 115 in the SOC interval R4, the sorting of the plurality of battery cells 111, 113, and 115 in the SOC interval R5, and the sorting of the plurality of battery cells 111, 113, and 115 in the SOC interval R8.

[0074] In an embodiment, the identification unit 143 may identify representative voltage values of a first number of SOC intervals in each of the voltage-SOC curves, and identify an order based on the representative voltage values. Herein, the representative voltage value may be an average value of the voltage values of each SOC interval among the first number of SOC intervals. Accordingly, the identification unit 143 may identify the average value of the voltage values of each SOC interval among the first number of SOC intervals as the representative voltage value.

[0075] For example, the identification unit 143 may identify the average value of the voltage values of each SOC interval among the first number of SOC intervals as the representative voltage value, as shown in Table 1.

[0076] [Table 1]

[0077]

[0078] Referring to Table 1, the representative voltage values in the SOC intervals R1 and R4 during the charging of the battery cell 111 may be 3.458 and 4.064. During the discharging of the battery cell 111, the representative voltage values in the SOC intervals R5 and R8 may be 3.847 and 3.385. For example, the identification unit 143 may identify an order as shown in Table 2 based on the representative voltage values shown in Table 1.

[0079] [Table 2]

[0080]

[0081] Referring to Table 2, during the charging of the battery cell 111, the orders of the SOC intervals R1 and R4 may be 42 and 42. During the discharging of the battery cell 111, the orders in the SOC intervals R5 and R8 may be 42 and 42. In an embodiment, the diagnosis unit 145 may diagnose anomalies of the plurality of battery cells 111, 113, and 115 based on the order change.

[0082] For example, the identification unit 143 may identify an order change as shown in Table 3 based on the order shown in Table 2.

[0083] [Table 3]

[0084]

[0085] Referring to Table 3, during the charging of the battery cell 111, the order change between the SOC intervals R1 and R4 may be 0. During the discharging of the battery cell 111, the order change between the SOC intervals R5 and R8 may be 0. As shown in Table 3, the diagnosis unit 145 may identify the order change between the SOC intervals R1 and R4 during charging and identify the order change between the SOC intervals R5 and R8 during discharging.

[0086] In an embodiment, the diagnosis unit 145 may diagnose a battery cell with a changed reference value or a greater value in the sorted order among the plurality of battery cells 111, 113, and 115 as an abnormal battery cell. Here, the abnormal battery may include a degraded battery (or an over-degraded battery). The reference value may be set based on the number of the plurality of battery cells. For example, a value corresponding to 90% of the number of the battery cells 111, 113, and 115 (or a rounded value, a downward-rounded value, or an upward-rounded value corresponding to 90% of the value) may be set as the reference value. For example, when the number of the battery cells 111, 113, and 115 is 238, the reference value may be 214. In another example, when the number of the battery cells 111, 113, and 115 is 196, the reference value may be 176.

[0087] In an embodiment, the diagnosis unit 145 may diagnose a battery cell with an increased reference value or a greater value or a decreased reference value or a greater value in the sorted order among the plurality of battery cells 111, 113, and 115 as an abnormal battery cell. In an embodiment, the diagnosis unit 145 may diagnose at least one battery cell with an increased reference value or a greater value during charging or a decreased reference value or a greater value during discharging in the sorted order among the plurality of battery cells as an abnormal battery cell.

[0088] For example, when the reference value is 8, the diagnosis unit 145 may diagnose a battery cell with an increase in the sorted order by 8 between the sorted order in the SOC section R1 and the sorted order in the SOC section R4 and a decrease in the sorted order by 8 between the sorted order in the SOC section R5 and the sorted order in the SOC section R8 as an abnormal battery cell.

[0089] In an embodiment, the abnormality handling unit 147 may perform an abnormality handling function based on the abnormality diagnosis result for the plurality of battery cells 111, 113, and 115. In an embodiment, the abnormality handling function may include a notification function or a short-circuit function.

[0090] For example, the abnormality handling unit 147 may send the abnormality diagnosis result of the plurality of battery cells 111, 113, and 115 to the user terminal 105 connected through a wired network and / or a wireless network.

[0091] In another embodiment, the abnormality handling unit 147 may isolate the abnormal battery cell from the electronic device 103 based on the abnormality diagnosis result of the plurality of battery cells 111, 113, and 115. Here, the isolation may include electrical isolation and / or mechanical isolation.

[0092] Figure 4 is a flowchart showing an operation method of the battery abnormality diagnosis device 101 according to an embodiment of the present disclosure.

[0093] ReferenceFigure 4 In operation 410, the battery anomaly diagnosis device 101 can obtain the voltage-SOC curves of multiple battery cells 111, 113, and 115. In an embodiment, the voltage-SOC curve can indicate the relationship between the SOC and the voltage of a battery cell (e.g., battery cell 111).

[0094] In an embodiment, the battery anomaly diagnosis device 101 can obtain the voltage-SOC curve of each of the multiple battery cells 111, 113, and 115 through an electronic device 103 connected via a wired network and / or a wireless network. In another embodiment, the battery anomaly diagnosis device 101 can obtain the voltage, current, temperature, or a combination thereof of the multiple battery cells 111, 113, and 115 through an electronic device 103 connected via a wired network and / or a wireless network, and generate a voltage-SOC curve based on the obtained voltage, current, temperature, or a combination thereof.

[0095] In an embodiment, the battery anomaly diagnosis device 101 can read the voltage, current, temperature, or a combination thereof from each of the multiple battery cells 111, 113, and 115, and generate a voltage-SOC curve based on the read voltage, current, temperature, or a combination thereof.

[0096] In operation 420, the battery anomaly diagnosis device 101 can identify the sorting of the multiple battery cells 111, 113, and 115. In an embodiment, the battery anomaly diagnosis device 101 can identify a specified first number of sorts of each of the multiple battery cells 111, 113, and 115 based on the voltage-SOC curve. Herein, the specified first number can correspond to the number of SOC intervals. Herein, the specified first number can be less than the number of SOC intervals. Herein, the SOC interval can include an interval for identifying the SOC during the charging of the battery cell from 0% to 100%, and / or an interval for identifying the SOC during the discharging of the battery cell from 100% to 0%.

[0097] In an embodiment, the battery anomaly diagnosis device 101 can identify the representative voltage values of the first number of SOC intervals in each of the voltage-SOC curves, and identify the sorting based on the representative voltage values. Herein, the representative voltage value can be the average of the voltage values of each SOC interval in the first number of SOC intervals.

[0098] In operation 430, the battery anomaly diagnosis device 101 can diagnose the anomalies of the multiple battery cells 111, 113, and 115 based on the sorting change.

[0099] In an embodiment, the diagnosis unit 145 may diagnose, as an abnormal battery cell, a battery cell among the plurality of battery cells 111, 113, and 115 that has a sorted value changed from a reference value or a greater value. Herein, an abnormal battery may include a degraded battery (or an overly degraded battery). The reference value may be set based on the number of the plurality of battery cells. For example, a value corresponding to 90% of the number of the battery cells 111, 113, and 115 (or a rounded value, a floor value, or a ceiling value corresponding to the 90% value) may be set as the reference value. For example, when the number of the battery cells 111, 113, and 115 is 238, the reference value may be 214. In another example, when the number of the battery cells 111, 113, and 115 is 196, the reference value may be 176.

[0100] In an embodiment, the diagnosis unit 145 may diagnose, as an abnormal battery cell, a battery cell among the plurality of battery cells 111, 113, and 115 that has a sorted value increased from a reference value or a greater value or decreased from a reference value or a greater value. In an embodiment, the diagnosis unit 145 may diagnose, as an abnormal battery cell, at least one battery cell among the plurality of battery cells that has a sorted value increased from a reference value or a greater value during charging or decreased from a reference value or a greater value during discharging.

[0101] For example, when the reference value is 8, the diagnosis unit 145 may diagnose, as an abnormal battery cell, a battery cell that has a sorted value increased by 8 between the sorting in the SOC interval R1 and the sorting in the SOC interval R4 and a sorted value decreased by 8 between the sorting in the SOC interval R5 and the sorting in the SOC interval R8.

[0102] In an embodiment, the battery abnormality diagnosis device 101 may perform an abnormality handling function based on the abnormality diagnosis results for the plurality of battery cells 111, 113, and 115. In an embodiment, the abnormality handling function may include a notification function or a short-circuit function.

[0103] For example, the battery abnormality diagnosis device 101 may send the abnormality diagnosis results of the plurality of battery cells 111, 113, and 115 to a user terminal 105 connected via a wired network and / or a wireless network.

[0104] In another embodiment, the battery abnormality diagnosis device 101 may isolate an abnormal battery cell from the electronic device 103 based on the abnormality diagnosis results of the plurality of battery cells 111, 113, and 115. Here, the isolation may include electrical isolation and / or mechanical isolation.

[0105] Figure 5 is a flowchart showing an operation method of the battery abnormality diagnosis device 101 according to an embodiment of the present disclosure. It may be performed for each of the battery cells 111, 113, and 115 Figure 5operation. Figure 5 The operation can be included in Figure 4 operation 430.

[0106] Referring to Figure 5 , in operation 510, the battery abnormality diagnosis device 101 can identify a change in the sorting of battery cells.

[0107] In operation 520, the battery abnormality diagnosis device 101 can determine whether the sorting has increased to a reference value or a greater value during discharge. The reference value can be set based on the number of a plurality of battery cells. For example, a value corresponding to 90% of the number of battery cells 111, 113, and 115 (or a rounded value, a floor value, or a ceiling value corresponding to the value of 90%) can be set as the reference value. For example, when the number of battery cells 111, 113, and 115 is 238, the reference value can be 214. In another example, when the number of battery cells 111, 113, and 115 is 196, the reference value can be 176.

[0108] In an embodiment, the battery abnormality diagnosis device 101 can determine whether there is an interval during charging in which the sorting has increased to a reference value or a greater value.

[0109] As a determination result in operation 520, when the sorting has increased to a reference value or a greater value during charging (yes), the battery abnormality diagnosis device 101 can perform operation 530. As a determination result in operation 520, when the sorting has not increased to a reference value or a greater value during charging (no), the battery abnormality diagnosis device 101 can perform operation 550.

[0110] In operation 530, the battery abnormality diagnosis device 101 can determine whether the sorting has decreased to a reference value or a greater value during discharge. Here, the reference value can be the same as the reference value in operation 520.

[0111] In an embodiment, the battery abnormality diagnosis device 101 can determine whether the sorting has decreased to a reference value or a greater value during discharge.

[0112] As a determination result in operation 530, when the sorting has decreased to a reference value or a greater value during discharge (yes), the battery abnormality diagnosis device 101 can perform operation 540. As a determination result in operation 530, when the sorting has not decreased to a reference value or a greater value during discharge (no), the battery abnormality diagnosis device 101 can perform operation 550.

[0113] In operation 540, the battery abnormality diagnosis device 101 can diagnose the battery cell as an abnormal battery.

[0114] In operation 550, the battery abnormality diagnosis device 101 can diagnose the battery cell as a normal battery.

[0115] According to an embodiment, operations 520 and 530 may be performed simultaneously. According to an embodiment, operation 520 may be performed after operation 530.

Claims

1. A battery abnormality diagnosis device, the battery abnormality diagnosis device comprising: An acquisition unit configured to acquire voltage - state of charge (SOC) curves of a plurality of battery cells; An identification unit configured to identify a specified first number of rankings for each of the plurality of battery cells based on the voltage - SOC curves; And A diagnosis unit configured to diagnose an abnormality of the plurality of battery cells based on a change in the rankings.

2. The battery abnormality diagnosis device according to claim 1, wherein, The identification unit is further configured to: Identify representative voltage values of the first number of SOC intervals for each of the voltage - SOC curves; and Identify the rankings based on the representative voltage values.

3. The battery abnormality diagnosis device according to claim 2, wherein, The identification unit is further configured to identify an average value of the voltage values of each SOC interval among the first number of SOC intervals as the representative voltage value.

4. The battery abnormality diagnosis device according to claim 1, wherein, The diagnosis unit is further configured to diagnose at least one battery cell having a ranking with a changed reference value or a greater value as an abnormal battery cell.

5. The battery abnormality diagnosis device according to claim 4, wherein, Set the reference value based on the number of the plurality of battery cells.

6. The battery abnormality diagnosis device according to claim 4, wherein, The diagnosis unit is further configured to diagnose at least one battery cell having a ranking that increases by the reference value or a greater value during charging or decreases by the reference value or a greater value during discharging among the plurality of battery cells as the abnormal battery cell.

7. The battery abnormality diagnosis device according to claim 1, wherein, The acquisition unit is further configured to acquire the voltage - SOC curves of the plurality of battery cells through an external electronic device connected via a wired network and / or a wireless network.

8. The battery abnormality diagnosis device according to claim 1, wherein, The acquisition unit is further configured to: Read voltage, current, temperature, or a combination thereof from each of the plurality of battery cells; and Generate the voltage - SOC curves based on the read voltage, current, temperature, or a combination thereof.

9. The battery abnormality diagnosis device according to claim 1, wherein, The plurality of battery cells includes one of a battery cell, a battery module, a battery pack, or a battery rack.

10. The battery abnormality diagnosis device according to claim 1, the battery abnormality diagnosis device further comprising an abnormality processing unit, the abnormality processing unit being configured to perform an abnormality processing function based on the abnormality diagnosis results of the plurality of battery cells, wherein, The abnormal handling function includes a notification function or a short - circuit function.

11. An operation method of a battery abnormality diagnosis device, the operation method comprising the following steps: Acquire voltage - state of charge (SOC) curves of a plurality of battery cells; Based on the voltage - SOC curves, identify a specified first number of rankings for each of the plurality of battery cells; and Diagnose an abnormality of the plurality of battery cells based on a change in the rankings.

12. The operation method according to claim 11, wherein, The step of identification includes the following steps: Identify representative voltage values of the first number of SOC intervals for each of the voltage - SOC curves; and Identify the rankings based on the representative voltage values.

13. The operating method according to claim 12, wherein, The step of identification includes identifying an average value of the voltage values of each SOC interval among the first number of SOC intervals as the representative voltage value.

14. The operating method according to claim 11, wherein, The step of diagnosis includes diagnosing at least one battery cell having a ranking with a changed reference value or a greater value as an abnormal battery cell.

15. The operating method according to claim 14, wherein, Set the reference value based on the number of the plurality of battery cells.

16. The operating method according to claim 14, wherein, The step of diagnosis includes diagnosing at least one battery cell having a ranking that increases by the reference value or a greater value during charging or decreases by the reference value or a greater value during discharging among the plurality of battery cells as the abnormal battery cell.

17. The operating method according to claim 11, wherein, The obtaining step includes obtaining the voltage-SOC curve of the plurality of battery cells through an external electronic device connected via a wired network and / or a wireless network.

18. The operating method according to claim 11, wherein, The obtaining step includes the following steps: Reading voltage, current, temperature, or a combination thereof from each of the plurality of battery cells; and Generating the voltage-SOC curve based on the read voltage, current, temperature, or a combination thereof.

19. The operating method according to claim 11, wherein, The plurality of battery cells includes one of a battery cell, a battery module, a battery pack, or a battery rack.

20. The operating method according to claim 11, the operating method further comprising the following steps: Performing an abnormality handling function based on the abnormality diagnosis result of the plurality of battery cells, wherein the abnormality handling function includes a notification function or a short-circuit function.

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