Battery abnormality diagnosis apparatus and operating method therefor

Abstract

A battery abnormality diagnosis apparatus according to one embodiment disclosed herein may include: an acquisition unit for acquiring voltage-state of charge (SOC) curves of a plurality of battery cells; an identification unit to identify a specified first number of ranks for 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 - 0151061, filed with the Korean Intellectual Property Office on November 11, 2022, the entire content of which is 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 conducted. 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 the latest 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 lightweight, such that lithium - ion batteries are used as power sources for mobile devices. Further, lithium - ion batteries have drawn attention as next - generation energy storage media as their use range expands to power sources for electric vehicles.

[0006] In addition, secondary batteries can be used as battery packs 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 battery racks including a plurality of battery modules and a 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 by a battery management system (BMS) according to their states and operations. 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 spaced apart 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 damaging a 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 herein 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 ranks of each battery cell among 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 ranks.

[0015] In one embodiment, the identification unit may further be configured to: identify representative voltage values of the first number of SOC intervals of each of the voltage - SOC curves; and identify the ranks based on the representative voltage values.

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

[0017] In one embodiment, the diagnosis unit may further be configured to diagnose at least one battery cell among the plurality of battery cells whose rank has changed by a reference value or more as an abnormal battery cell.

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

[0019] In one embodiment, the diagnosis unit may further be configured to diagnose at least one battery cell among the plurality of battery cells whose rank has increased by a reference value or more or decreased by a reference value or more as the abnormal battery cell.

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

[0021] In one embodiment, the acquisition unit may further be 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.

[0022] In one 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 one embodiment, the battery abnormality diagnosis device may further include an abnormality processing unit configured to perform an abnormality processing function based on an abnormality diagnosis result of the 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, the method of operation including: obtaining voltage - state of charge (SOC) curves of a plurality of battery cells; based on the voltage - SOC curves, identifying a specified first number of rankings of each of the plurality of battery cells; and diagnosing an abnormality of the plurality of battery cells based on a change in the rankings.

[0025] In one embodiment, the identifying may include: identifying representative voltage values of the first number of SOC intervals of each of the voltage - SOC curves; and identifying the rankings based on the representative voltage values.

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

[0027] In one embodiment, the diagnosing may include diagnosing at least one battery cell among the plurality of battery cells in which the ranking has changed by a reference value or more as an abnormal battery cell.

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

[0029] In one embodiment, the diagnosing may include diagnosing at least one battery cell among the plurality of battery cells in which the ranking has increased by a reference value or more or decreased by a reference value or more as the abnormal battery cell.

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

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

[0032] In one 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 one embodiment, the operation method may further include performing an abnormality handling function based on an abnormality diagnosis result of the plurality of battery cells, wherein the abnormality handling function includes a notification function or a short-circuit function.

[0034] Advantageous Effects

[0035] A battery abnormality diagnosis device and an operation method thereof according to various embodiments disclosed herein can detect the occurrence of an internal short circuit of a battery or other types of failures.

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

[0037] The effects of the battery abnormality diagnosis device and the operation method thereof according to this document are not limited to the above effects, and those of ordinary skill in the art will clearly understand other effects not mentioned according to the present invention. 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 A graph showing the average voltage of battery cells.

[0042] Figure 5 A graph showing the sorting change of battery cells.

[0043] Figure 6 Is a flowchart showing an operation method of a battery abnormality diagnosis device according to an embodiment of the present disclosure.

[0044] Figure 7 Is a flowchart showing an operation method of a battery abnormality diagnosis device according to an embodiment of the present disclosure.

[0045] Regarding the description of the drawings, similar reference numerals may be used to refer to similar or related components. Detailed Description of the Embodiments

[0046] In the following, 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 specific embodiments, and it should be construed as including various variations, equivalents, and / or alternatives according to the embodiments of the present disclosure.

[0047] 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 modifications, equivalents, or alternatives of the corresponding 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 a noun corresponding to an item may include one or more things, unless the relevant context clearly indicates otherwise.

[0048] 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", and "at least one of A, B, or C" may include any one or all possible combinations of the items listed together in a 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 a corresponding component from another component and do not limit the component in other respects (e.g., importance or order).

[0049] 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 to another element (e.g., a second element) with or without the terms "operably" or "communicatively", or connected to, coupled to, or linked to another element, this 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.

[0050] A method according to various embodiments disclosed herein may be included and provided in a computer program product. The computer program product may be traded as a product between a seller and a buyer. The computer program product may 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 part of the computer program product may be temporarily generated or at least temporarily stored in a machine-readable storage medium, such as the memory of a manufacturer server, an app store server, or a relay server.

[0051] According to the embodiments disclosed herein, each component (e.g., module or program) of the above components may include a single entity or multiple entities, and some of the multiple entities may be separately provided in different components. According to various embodiments disclosed herein, one or more of the above components may be omitted, or one or more other components may be added. Alternatively or additionally, multiple components (e.g., modules or programs) may be integrated into a single component. In this case, according to various embodiments, the integrated component may still perform one or more functions of each of the multiple components in the same or similar manner as performed by the corresponding one of the multiple components before integration. According to the embodiments disclosed herein, the operations performed by a module, program, or another component may be performed sequentially, in parallel, repeatedly, or heuristically, or may be performed in a different order or one or more operations may be omitted, or one or more other operations may be added.

[0052] Figure 1 A graph showing a voltage - state of charge (SOC) curve is shown. Referring to Figure 1 , voltage - SOC graphs 10 showing the normal behavior 11 and the degradation behavior 15 of the battery cell, voltage - SOC graphs 20 showing the normal behavior 11 and the abnormal behavior 25 of the battery cell, and voltage - SOC graphs 30 showing the normal behavior 11 and the abnormal behavior 35 of the battery cell can be seen. Since the battery cell exhibits abnormal behavior, damage may be caused to the electronic device. Therefore, a battery cell having abnormal behavior can be detected from the battery cells, and it may be necessary to appropriately process the battery cell having abnormal behavior.

[0053] Figure 2 is a block diagram of a battery abnormality diagnosis device 101 according to an embodiment of the present disclosure.

[0054] Referring to Figure 2 , the battery abnormality diagnosis device 101 may be connected to the electronic device 103 and the user terminal 105 wired and / or wirelessly.

[0055] In one embodiment, the connection 104 between the battery abnormality diagnosis device 101 and the electronic device 103 may be a communication connection via a wired and / or wireless network. In an embodiment, the wired network may be based on local area network (LAN) communication or power line communication. In an embodiment, the wireless network may be based on a short - range communication network (e.g., Bluetooth, wireless fidelity (WiFi), or Infrared Data Association (IrDA)) or a long - range communication network (e.g., cellular network, fourth - generation (4G) network, fifth - generation (5G) network).

[0056] In another embodiment, the connection 104 between the battery abnormality diagnosis device 101 and the electronic device 103 may be a connection using a device-to-device communication scheme (e.g., a bus, general-purpose input and output (GPIO), serial peripheral interface (SPI), or mobile industry processor interface (MIPI)).

[0057] In one embodiment, the connection 106 between the battery abnormality diagnosis device 101 and the user terminal 105 may be a communication connection via a wired and / or wireless network.

[0058] In one embodiment, the electronic device 103 may be a mobile device (e.g., a mobile phone, laptop computer, smartphone, smart tablet), an electric vehicle (e.g., an electric vehicle (EV), a hybrid EV (HEV), a plug-in HEV (PHEV), a fuel cell EV (FCEV)), an energy storage system (ESS), or a battery swapping system (BSS).

[0059] In one 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.

[0060] In one embodiment, the user terminal 105 may be a mobile device (e.g., a mobile phone, laptop computer, smartphone, smart tablet) or a personal computer (PC).

[0061] In one 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 one embodiment, in addition to Figure 2 the components shown in Figure 2 the battery abnormality diagnosis device 101 shown in may further include at least one component (e.g., a display, an input device, or an output device).

[0062] In one 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 and receive data from the electronic device 103 and / or the user terminal 105 via the established communication channel.

[0063] In one embodiment, the sensor 130 may obtain values related to the states of the battery cells 111, 113, and 115 of the electronic device 103. In one embodiment, the values related to the states may indicate one or more or a combination of the voltage, current, resistance, state of charge (SOC), state of health (SOH), or temperature values of the battery cells 111, 113, and 115. Hereinafter, the values related to the states may be referred to as "state values".

[0064] In one embodiment, the memory 140 may include volatile and / or non-volatile memory.

[0065] In one embodiment, the memory 140 may store data used by at least one component (e.g., the processor 150) of the battery state estimation device 100. For example, the data may include software (or instructions related thereto), input data, or output data. In one embodiment, when executed by the processor 150, the instructions may cause the battery abnormality diagnosis device 101 to perform the operations defined by the instructions.

[0066] In one embodiment, the memory 140 may include one or more software (e.g., the acquisition unit 141, the identification unit 143, the diagnosis unit 145, and the abnormality handling unit 147).

[0067] In one 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.

[0068] In one embodiment, the processor 150 may execute software (e.g., the acquisition unit 141, the identification unit 143, the diagnosis unit 145, and the abnormality handling unit 147) to control at least one other component (e.g., a hardware or software component) of the battery abnormality diagnosis device 101 connected to the processor 150 and perform various data processing or operations.

[0069] Hereinafter, with reference to Figures 2 to 5 , a method of diagnosing abnormalities of the battery cells 111, 113, and 115 by the battery abnormality diagnosis device 101 using the acquisition unit 141, the identification unit 143, the diagnosis unit 145, and / or the abnormality handling unit 147 will be described.

[0070] Figure 3 is a view 310 showing the voltage-SOC curve 311. Figure 4 is a graph 410 showing the average voltage of the battery cells. Figure 5 is a graph 510 showing the sorting change of the battery cells. It can be referred to Figure 2 to describe Figures 3 to 5 .

[0071] In one embodiment, the obtaining unit 141 may obtain the voltage-SOC curves of a plurality of battery cells 111, 113, and 115. In one embodiment, the voltage-SOC curve may indicate the relationship between the SOC and the voltage of a battery cell (e.g., battery cell 111).

[0072] In one embodiment, the obtaining unit 141 may obtain the voltage-SOC curves of a plurality of corresponding battery cells 111, 113, and 115 by means of an electronic device 103 connected via a wired and / or wireless network. In another embodiment, the obtaining unit 141 may obtain the voltage, current, temperature, or a combination thereof of a plurality of battery cells 111, 113, and 115 by means of an electronic device 103 connected via a wired and / or wireless network, and generate a voltage-SOC curve based on the obtained voltage, current, temperature, or a combination thereof.

[0073] In one embodiment, the obtaining unit 141 may read the voltage, current, temperature, or a combination thereof from each of a 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.

[0074] In one embodiment, the identifying unit 143 may identify a specified first number of rankings of each of a plurality of battery cells 111, 113, and 115 based on the voltage-SOC curves. Herein, the specified first number may correspond to the number of SOC intervals. Herein, the SOC interval may include an interval for identifying the SOC during charging of the battery cell from 0% to 100%, and / or an interval for identifying the SOC during discharging of the battery cell from 100% to 0%.

[0075] For example, referring to Figure 3, the specified first quantity can be 4, that is, the number of SOC intervals R1, R2, R3, and R4 during the charging process of the battery cells. In one embodiment, the SOC interval R1 can be the time period when the SOC is between 0% and 5%, the SOC interval R2 can be the time period when the SOC is between 5% and 25%, the SOC interval R3 can be the time period when the SOC is between 25% and 60%, and the SOC interval R4 can be the time period when the SOC is between 60% and 100%. Additionally, the specified first quantity can be 8, including the SOC intervals R1, R2, R3, and R4 during the charging process of the battery cells and the SOC intervals R5, R6, R7, and R8 during the discharging process of the battery cells. In one embodiment, the SOC interval R5 can be the time period when the SOC is between 100% and 60%, the SOC interval R6 can be the time period when the SOC is between 60% and 25%, the SOC interval R7 can be the time period when the SOC is between 25% and 5%, and the SOC interval R8 can be the time period when the SOC is between 5% and 0%.

[0076] In one embodiment, the identification unit 143 can identify the ranking of the plurality of battery cells 111, 113, and 115 in each SOC interval. For example, the identification unit 143 can identify the ranking of the plurality of battery cells 111, 113, and 115 in the SOC interval R1, the ranking of the plurality of battery cells 111, 113, and 115 in the SOC interval R2, the ranking of the plurality of battery cells 111, 113, and 115 in the SOC interval R3, and the ranking of the plurality of battery cells 111, 113, and 115 in the SOC interval R4.

[0077] In one embodiment, the identification unit 143 can identify the representative voltage value of the SOC interval of each voltage - SOC curve of the first quantity and identify the ranking based on the representative voltage value. Herein, the representative voltage value can be the average value of the voltage values of each SOC interval among the first quantity of SOC intervals. Therefore, the identification unit 143 can identify the average value of the voltage values of each SOC interval of the first quantity as the representative voltage value.

[0078] For example, the identification unit 143 can identify the average value of the voltage values of each SOC interval of the first quantity as the representative voltage value, as shown in Table 1.

[0079] Table 1

[0080]

[0081] Referring to Table 1, the representative voltage values in the SOC ranges R1, R2, R3, and R4 during the charging of battery cell 111 can be 3.458, 3.597, 3.754, and 4.064. During the discharging of battery cell 111, the representative voltage values in the SOC ranges R5, R6, R7, and R8 can be 3.847, 3.579, 3.417, and 3.385. Referring Figure 4 , shows the representative voltage values in the SOC ranges R1, R2, R3, and R4 of each of the battery cells 111, 113, and 115. For example, the representative voltage value of battery cell 111 can be identified from line 411, the representative voltage value of battery 113 can be identified from line 413, and the representative voltage value of battery cell 115 can be identified from line 415.

[0082] For example, the identification unit 143 can identify the sorting shown in Table 2 based on the representative voltage values shown in Table 1.

[0083] Table 2

[0084]

[0085] Referring to Table 2, during the charging of battery cell 111, the sorting of the SOC ranges R1, R2, R3, and R4 can be 42, 41, 40, and 42. During the discharging of battery cell 111, the representative voltage values in the SOC ranges R5, R6, R7, and R8 can be 42, 42, 42, and 42. Referring Figure 5 , shows the sorting of the SOC ranges R1, R2, R3, and R4 of each of the battery cells 111, 113, and 115. For example, the sorting of battery cell 111 can be identified from line 511, the sorting of battery 113 can be identified from line 513, and the sorting of battery cell 115 can be identified from line 515.

[0086] In one embodiment, the diagnosis unit 145 can diagnose abnormalities of the plurality of battery cells 111, 113, and 115 based on the sorting change.

[0087] For example, the identification unit 143 can identify the sorting change shown in Table 3 based on the sorting shown in Table 2.

[0088] Table 3

[0089]

[0090] Referring to Table 3, during the charging of battery cell 111, the sorting changes among SOC intervals R1, R2, R3, and R4 can be 1, 1, and -2. During the discharging of battery cell 111, the sorting changes among SOC intervals R5, R6, R7, and R8 can be 0, 0, 0, and 0. As shown in Table 3, the diagnostic unit 145 can identify the sorting changes among SOC intervals R1, R2, R3, and R4 during charging, and identify the sorting changes among SOC intervals R5, R6, R7, and R8 during discharging.

[0091] In one embodiment, the diagnostic unit 145 can diagnose a battery cell in which the sorting has changed by a reference value or more among the plurality of battery cells 111, 113, and 115 as an abnormal battery cell. The reference value can be set based on the number of the plurality of battery cells. For example, a value corresponding to 1 / 3 of the number of battery cells 111, 113, and 115 can be set as the reference value. For example, when the number of battery cells 111, 113, and 115 is 42, the reference value can be 14.

[0092] In one embodiment, the diagnostic unit 145 can diagnose a battery cell in which the sorting has increased by a reference value or more or decreased by a reference value or more among the plurality of battery cells 111, 113, and 115 as an abnormal battery cell.

[0093] For example, when the reference value is 8, the sorting of battery cell 113 in Table 3 increases by 17 between the sorting in SOC interval R1 and the sorting in SOC interval R2, and decreases by 9 between the sorting in SOC interval R2 and the sorting in SOC interval R3, such that the diagnostic unit 145 can diagnose battery cell 113 as an abnormal battery cell.

[0094] In one embodiment, the abnormality handling unit 147 can perform an abnormality handling function based on the abnormality diagnosis results of the plurality of battery cells 111, 113, and 115. In one embodiment, the abnormality handling function can include a notification function or a short-circuit function.

[0095] For example, the abnormality handling unit 147 can send the abnormality diagnosis results of the plurality of battery cells 111, 113, and 115 to the user terminal 105 connected via a wired and / or wireless network.

[0096] In another embodiment, the abnormality handling unit 147 can 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 can include electrical and / or mechanical isolation.

[0097] Figure 6 is a flowchart showing an operation method of the battery abnormality diagnosis device 101 according to an embodiment of the present disclosure.

[0098] Reference Figure 6 In operation 610, the battery anomaly diagnosis device 101 can obtain the voltage-SOC curves of multiple battery cells 111, 113, and 115. In one embodiment, the voltage-SOC curve can indicate the relationship between the SOC and the voltage of a battery cell (e.g., battery cell 111).

[0099] In one embodiment, the battery anomaly diagnosis device 101 can obtain the voltage-SOC curves of multiple corresponding battery cells 111, 113, and 115 by means of an electronic device 103 connected via a wired and / or wireless network. In another embodiment, the battery anomaly diagnosis device 101 can obtain the voltage, current, temperature, or a combination thereof of multiple battery cells 111, 113, and 115 by means of an electronic device 103 connected via a wired and / or wireless network, and generate a voltage-SOC curve based on the obtained voltage, current, temperature, or a combination thereof.

[0100] In one embodiment, the battery anomaly diagnosis device 101 can read the voltage, current, temperature, or a combination thereof from each of multiple battery cells 111, 113, and 115, and generate a voltage-SOC curve based on the read voltage, current, temperature, or a combination thereof.

[0101] In operation 620, the battery anomaly diagnosis device 101 can identify the sorting of multiple battery cells 111, 113, and 115. In one embodiment, the battery anomaly diagnosis device 101 can identify a specified first number of sorts for each of 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 SOC interval can include a period for identifying the SOC from 0% to 100% during the charging of the battery cell, and / or a period for identifying the SOC from 100% to 0% during the discharging of the battery cell.

[0102] In one embodiment, the battery anomaly diagnosis device 101 can identify the representative voltage values of the SOC intervals of each voltage-SOC curve of the first number, and identify the sorting based on the representative voltage values. Herein, the representative voltage value can be the average value of the voltage values of each SOC interval of the first number of SOC intervals.

[0103] In operation 630, the battery anomaly diagnosis device 101 can diagnose the anomalies of multiple battery cells 111, 113, and 115 based on the sorting change.

[0104] In one embodiment, the battery abnormality diagnosis device 101 may diagnose as abnormal battery cells those battery cells among the plurality of battery cells 111, 113, and 115 whose sorting has changed by a reference value or more. The reference value may be set based on the number of the plurality of battery cells. For example, a value corresponding to 1 / 3 of the number of the battery cells 111, 113, and 115 may be set as the reference value. For example, when the number of the battery cells 111, 113, and 115 is 42, the reference value may be 14.

[0105] In one embodiment, the battery abnormality diagnosis device 101 may diagnose as abnormal battery cells those battery cells among the plurality of battery cells 111, 113, and 115 whose sorting has increased or decreased by a reference value or more.

[0106] In one embodiment, the battery abnormality diagnosis device 101 may perform an abnormality handling function based on the abnormality diagnosis results of the plurality of battery cells 111, 113, and 115. In one embodiment, the abnormality handling function may include a notification function or a short-circuit function.

[0107] 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 the user terminal 105 connected via a wired and / or wireless network.

[0108] 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 and / or mechanical isolation.

[0109] Figure 7 is a flowchart showing an operation method of the battery abnormality diagnosis device 101 according to an embodiment of the present disclosure. The operation may be performed for each of the battery cells 111, 113, and 115. Figure 7 The operation. Figure 7 The operation may include in Figure 6 the operation 630.

[0110] Refer to Figure 7 In operation 710, the battery abnormality diagnosis device 101 may identify a change in the sorting of the battery cells.

[0111] In operation 720, the battery abnormality diagnosis device 101 may determine whether there is a period during which the sorting has increased by a reference value or more. The reference value may be set based on the number of the plurality of battery cells. For example, a value corresponding to 1 / 3 of the number of the battery cells 111, 113, and 115 may be set as the reference value. For example, when the number of the battery cells 111, 113, and 115 is 42, the reference value may be 14.

[0112] As a result of the determination in operation 720, when there is a period (yes) in which the sorting increases by the reference value or more, the battery abnormality diagnosis device 101 may perform operation 730. As a result of the determination in operation 720, when there is no period (no) in which the sorting increases by the reference value or more, the battery abnormality diagnosis device 101 may perform operation 750.

[0113] In operation 730, the battery abnormality diagnosis device 101 may determine whether there is a period in which the sorting decreases by the reference value or more. Herein, the reference value may be the same as the reference value in operation 720.

[0114] As a result of the determination in operation 730, when there is a period (yes) in which the sorting decreases by the reference value or more, the battery abnormality diagnosis device 101 may perform operation 740. As a result of the determination in operation 730, when there is no period (no) in which the sorting decreases by the reference value or more, the battery abnormality diagnosis device 101 may perform operation 750.

[0115] In operation 740, the battery abnormality diagnosis device 101 may diagnose the battery cell as an abnormal battery.

[0116] In operation 750, the battery abnormality diagnosis device 101 may diagnose the battery cell as a normal battery.

[0117] According to one embodiment, operations 720 and 730 may be performed simultaneously. According to one embodiment, operation 720 may be performed after operation 730.

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 of 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 of the SOC intervals 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 among the plurality of battery cells whose ranking has changed by a reference value or more 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 among the plurality of battery cells whose ranking has increased by the reference value or more or decreased by the reference value or more 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 by means of an external electronic device connected via a wired and / or 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 configured to perform an abnormality processing function based on the abnormality diagnosis results of the plurality of battery cells, wherein, The abnormality 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: Identify representative voltage values of the first number of SOC intervals of each of the voltage - SOC curves; and Identify the rankings based on the representative voltage values.

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

14. The operation method according to claim 11, wherein, The step of diagnosis includes diagnosing at least one battery cell among the plurality of battery cells whose ranking has changed by a reference value or more as an abnormal battery cell.

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

16. The operation method according to claim 14, wherein, The step of diagnosis includes diagnosing at least one battery cell among the plurality of battery cells whose ranking has increased by the reference value or more or decreased by the reference value or more as the abnormal battery cell.

17. The operation method according to claim 11, wherein, The step of acquisition includes acquiring the voltage - SOC curves of the plurality of battery cells by means of an external electronic device connected via a wired and / or wireless network.

18. The operation method according to claim 11, wherein, The step of acquisition includes: Read voltage, current, temperature, or a combination thereof from each of the plurality of battery cells; and Generate the voltage-SOC curve based on the read voltage, current, temperature, or a combination thereof.

19. The operation 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 operation method according to claim 11, the operation method further comprising performing an exception handling function based on an exception diagnosis result of the plurality of battery cells, wherein, The abnormal handling function includes a notification function or a short-circuit function.

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