Battery abnormality diagnosis device and operation method thereof

Abstract

A battery abnormality diagnosis device according to one embodiment disclosed in this document may include an acquisition unit that acquires voltage-SOC (state of charge) profiles of a plurality of battery units, an identification unit that identifies a designated first number ranking of each of the plurality of battery units based on the voltage-SOC profiles, and a diagnosis unit that diagnoses abnormalities in the plurality of battery units based on changes in the rankings.

Description

[Technical Field]

[0001] This application claims the benefit of priority based on Korean Patent Application No. 10-2022-0151062, filed November 11, 2022, the entire contents of which are incorporated herein by reference. SUMMARY OF THE INVENTION The embodiments disclosed herein relate to a battery abnormality diagnosis device and an operation method thereof. [Background technology]

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

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

[0004] Such battery cells, battery modules, battery packs, or battery racks can be used in a variety of devices. For example, the batteries can be used not only in mobile devices such as mobile phones, laptop computers, smartphones, and smart pads, but also in fields such as electrically powered automobiles (EVs, HEVs, and PHEVs) and large-capacity energy storage systems (ESS).

[0005] Such batteries can be managed and controlled in status and operation by a battery management system (BMS), which can be included with the batteries in a device, or can manage and control the batteries remotely from the device containing the batteries. Summary of the Invention [Problem to be solved by the invention]

[0006] If a short circuit or other type of failure occurs within the battery, the likelihood of damage to the device (e.g., EV, ESS) containing the battery may increase. Therefore, there is a need for a method to detect abnormal battery conditions and reduce the possibility of damage to devices containing batteries.

[0007] The technical problems of the embodiments disclosed in this document are not limited to the technical problems mentioned above, and other technical problems not mentioned will be clearly understood by those skilled in the art from the following description. [Means for solving the problem]

[0008] A battery abnormality diagnosis device according to one embodiment disclosed in this document may include an acquisition unit that acquires voltage-SOC (state of charge) profiles of a plurality of battery units, an identification unit that identifies a designated first number ranking of each of the plurality of battery units based on the voltage-SOC profiles, and a diagnosis unit that diagnoses abnormalities in the plurality of battery units based on changes in the rankings.

[0009] In an embodiment, the identification unit may identify a representative voltage value of the first number of SOC intervals of each of the voltage-SOC profiles, and identify the rank based on the representative voltage value. In one embodiment, the identification unit may identify an average value of the voltage values ​​in each of the first number of SOC intervals as the representative voltage value.

[0010] In one embodiment, the diagnosing unit can diagnose, as an abnormal battery unit, at least one battery unit of the plurality of battery units whose ranking changes by a reference value or more. In one embodiment, the reference value may be set based on the number of the plurality of battery units.

[0011] In one embodiment, the diagnostic unit can diagnose as an abnormal battery unit at least one battery unit among the plurality of battery units whose rank during charging increases by more than the reference value and whose rank during discharging decreases by more than the reference value.

[0012] In one embodiment, the acquisition unit can acquire the voltage-SOC profiles of the plurality of battery units via an external electronic device connected via a wired and / or wireless network.

[0013] In one embodiment, the acquisition unit can read a voltage, a current, a temperature, or a combination thereof from each of the plurality of battery units, and generate the voltage-SOC profile based on the read voltage, current, temperature, or a combination thereof. In one embodiment, the plurality of battery units may be any of battery cells, battery modules, battery packs, or battery racks.

[0014] The battery abnormality diagnosis device according to one embodiment further includes an abnormality processing unit that performs an abnormality processing function based on the abnormality diagnosis results of the plurality of battery units, and the abnormality processing function may include a notification function or a short-circuit function.

[0015] An operating method of a battery abnormality diagnosis device according to one embodiment disclosed herein may include the operations of acquiring voltage-SOC (state of charge) profiles of a plurality of battery units, identifying a specified first number of rankings for each of the plurality of battery units based on the voltage-SOC profiles, and diagnosing an abnormality in the plurality of battery units based on changes in the rankings.

[0016] In one embodiment, the identifying operation may include identifying a representative voltage value for the first number of SOC intervals of each of the voltage-SOC profiles, and identifying the ranking based on the representative voltage value. In one embodiment, the identifying operation may include identifying an average voltage value for each of the first number of SOC intervals as a representative voltage value.

[0017] In one embodiment, the diagnosing operation can include an operation of diagnosing at least one battery unit, of the plurality of battery units, whose rank changes by a reference value or more, as an abnormal battery unit. In one embodiment, the reference value may be set based on the number of the plurality of battery units.

[0018] In one embodiment, the diagnosing operation may include an operation of diagnosing, among the plurality of battery units, at least one battery unit whose rank during charging increases by more than the reference value and whose rank during discharging decreases by more than the reference value as the abnormal battery unit.

[0019] In one embodiment, the obtaining operation may include obtaining the voltage-SOC profiles of the plurality of battery units via an external electronic device connected via a wired and / or wireless network.

[0020] In one embodiment, the obtaining operation may include an operation of reading a voltage, a current, a temperature, or a combination thereof from each of the plurality of battery units, and an operation of generating the voltage-SOC profile based on the read voltage, current, temperature, or a combination thereof. In one embodiment, the plurality of battery units may be any of battery cells, battery modules, battery packs, or battery racks.

[0021] The method of operating the battery abnormality diagnosis device according to one embodiment may further include an operation of performing an abnormality processing function based on the abnormality diagnosis results of the plurality of battery units, and the abnormality processing function may include a notification function or a short-circuit function. [Effects of the Invention]

[0022] The battery abnormality diagnosis device and its operation method according to various embodiments disclosed herein can detect the occurrence of a short circuit or other type of fault within a battery.

[0023] The battery abnormality diagnosis device and its operation method according to various embodiments disclosed herein can handle a detected short circuit or other type of fault within the battery.

[0024] The effects of the battery abnormality diagnosis device and its operating method disclosed in this document are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the disclosure of this document. [Brief explanation of the drawings]

[0025] [Figure 1] 1 is a graph illustrating a voltage-state of charge (SOC) profile. [Figure 2] 1 is a block diagram of a battery abnormality diagnosis device according to an embodiment of the present disclosure. [Figure 3] FIG. 10 is a diagram illustrating a voltage-SOC profile. [Figure 4]4 is a flowchart illustrating an operation method of a battery abnormality diagnosis device according to an embodiment of the present disclosure. [Figure 5] 10 is a flowchart illustrating an operation method of a battery abnormality diagnosis device according to an embodiment of the present disclosure. DETAILED DESCRIPTION OF THE INVENTION

[0026] Embodiments of the present invention will now be described with reference to the accompanying drawings, although it should be understood that this is not intended to limit the present invention to the particular embodiments, but rather to include various modifications, equivalents, and / or alternatives to the embodiments of the present invention.

[0027] The embodiments and terms used in this document are not intended to limit the technical features described in this document to a specific embodiment, but should be understood to include various modifications, equivalents, or alternatives of the embodiment. In connection with the description of the drawings, like reference numerals may be used for like or related components. The singular form of a noun corresponding to an item may include one or more of the said item unless the relevant context clearly dictates otherwise.

[0028] In this document, each phrase such as "A or B," "at least one of A and B," "at least one of A or B," "A, B, or C," "at least one of A, B, and C," and "at least one of A, B, or C" may include any one or all possible combinations of the items listed with that phrase. Terms such as "first," "second," "first," "second," "A," "B," "(a)," or "(b)" may be used merely to distinguish one element from another and do not limit the element in other respects (e.g., importance or order) unless specifically stated to the contrary.

[0029] In this document, when a (e.g., first) component is referred to as being "coupled," "coupled," or "connected" to another (e.g., second) component, with or without the terms "functionally" or "communicatively," or when a reference is made to "coupled" or "connected," this means that the component may be connected to the other component directly (e.g., by wire or wirelessly) or indirectly (e.g., through a third component).

[0030] Methods according to various embodiments disclosed herein may be provided in a computer program product. The computer program product may be traded between a seller and a buyer as a commodity. The computer program product may be distributed in the form of a machine-readable storage medium (e.g., compact disc read-only memory, CD-ROM) or distributed online (e.g., downloaded or uploaded) via an application store or directly between two user devices. In the case of online distribution, at least a portion of the computer program product may be at least temporarily stored or temporarily generated on a machine-readable storage medium such as the memory of a manufacturer's server, an application store server, or an intermediary server.

[0031] According to the embodiments disclosed herein, each of the aforementioned components (e.g., modules or programs) may include one or more entities, and some of the entities may be located separately in other components. According to the embodiments disclosed herein, one or more of the aforementioned components or operations may be omitted, or one or more other components or operations may be added. Alternatively or additionally, multiple components (e.g., modules or programs) may be integrated into a single component. In this case, the integrated component may perform one or more functions of each of the multiple components in the same or similar manner as those performed by the respective components of the multiple components before the integration. According to the embodiments disclosed herein, operations performed by modules, programs, or other components may be performed sequentially, in parallel, iteratively, or heuristically, or one or more of the operations may be performed in a different order, omitted, or one or more other operations may be added.

[0032] FIG. 1 is a graph illustrating an example of a voltage-SOC (state of charge) profile. Referring to FIG. 1, a voltage-SOC profile graph 10 showing normal behavior 11 and degraded behavior 15 of a battery unit, a voltage-SOC profile graph 20 showing normal behavior 11 and abnormal behavior 25 of a battery unit, and a voltage-SOC profile graph 30 showing normal behavior 11 and abnormal behavior 35 of a battery unit can be seen. A battery unit exhibiting abnormal behavior can cause damage to electronic devices. For this reason, it is necessary to detect battery units exhibiting abnormal behavior and take appropriate measures.

[0033] Fig. 2 is a block diagram of a battery abnormality diagnosis device 101 according to an embodiment of the present disclosure. Fig. 3 is a diagram 310 illustrating a voltage-SOC (state of charge) profile 311. Referring to FIG. 2, the battery abnormality diagnosis device 101 can be connected to the electronic device 103 and the user terminal 105 via wire and / or wireless.

[0034] 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 one embodiment, the wired network may be based on a local area network (LAN) communication or a power line communication. In one embodiment, the wireless network may be based on a local area network (e.g., Bluetooth, WiFi (wireless fidelity), or IrDA (infrared data association)) or a wide area network (e.g., a cellular network, a 4G network, or a 5G network).

[0035] In another embodiment, the connection (104) between the battery abnormality diagnosis device 101 and the electronic device 103 may be a connection via a communication method between devices (e.g., a bus, a general purpose input and output (GPIO), a serial peripheral interface (SPI), or a mobile industry processor interface (MIPI)).

[0036] 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.

[0037] In one embodiment, the electronic device 103 may be a mobile device (e.g., a mobile phone, a laptop computer, a smartphone, a smart pad), an electric vehicle (e.g., an EV (electric vehicle), a HEV (hybrid EV), a PHEV (plug-in HEV), or a FCEV (fuel cell EV)), an energy storage system (ESS), or a battery swapping system (BSS).

[0038] In one embodiment, the electronic device 103 may include one or more battery units 111, 113, 115. Each of the one or more battery units 111, 113, 115 may be a battery cell, a battery module, a battery pack, or a battery rack.

[0039] In one embodiment, the user terminal 105 may be a mobile device (eg, a mobile phone, a laptop computer, a smart phone, a smart pad) or a personal computer (PC).

[0040] 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 an embodiment, the battery abnormality diagnosis device 101 shown in Fig. 2 may further include at least one component (e.g., a display, an input device, or an output device) other than the components shown in Fig. 2.

[0041] In one embodiment, the communication circuit 120 can 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 and receive data to and from the electronic device 103 and / or the user terminal 105 via the established communication channel.

[0042] In one embodiment, the sensor 130 may obtain a value related to the status of the battery units 111, 113, 115 of the electronic device 103. In one embodiment, the value related to the status may indicate one or more values ​​for the voltage, current, resistance, state of charge (SOC), state of health (SOH), temperature, or a combination thereof, of the battery units 111, 113, 115. Hereinafter, the value related to the status may be referred to as a "status value."

[0043] In one embodiment, memory 140 may include volatile memory and / or non-volatile memory. In one embodiment, the memory 140 can store data used by at least one component (e.g., the processor 150) of the battery abnormality diagnosis device 101. For example, the data can include software (or instructions associated therewith), input data, or output data. In one embodiment, the instructions, when executed by the processor 150, can cause the battery abnormality diagnosis device 101 to perform the operations defined by the instructions.

[0044] In one embodiment, memory 140 may include one or more pieces of software (eg, an acquisition unit 141, an identification unit 143, a diagnosis unit 145, and an anomaly handler 147).

[0045] In one embodiment, 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.

[0046] In one embodiment, the processor 150 executes software (e.g., the acquisition unit 141, the identification unit 143, the diagnosis unit 145, and the abnormality processing unit 147), can 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 can perform various data processing or calculations.

[0047] The method by which battery abnormality diagnostic device 101 diagnoses abnormalities in battery units 111, 113, and 115 via acquisition unit 141, identification unit 143, diagnosis unit 145, and abnormality processing unit 147 will be described below.

[0048] In one embodiment, the acquisition unit 141 can acquire voltage-state of charge (SOC) profiles of the multiple battery units 111, 113, and 115. In one embodiment, the voltage-SOC profile can indicate the relationship between the SOC and voltage of a battery unit (e.g., battery unit 111).

[0049] In one embodiment, the acquisition unit 141 may acquire the voltage-SOC profiles of the plurality of battery units 111, 113, 115 via the electronic device 103 connected via a wired and / or wireless network. In another embodiment, the acquisition unit 141 may acquire the voltage, current, temperature, or a combination thereof of the plurality of battery units 111, 113, 115 via the electronic device 103 connected via a wired and / or wireless network, and generate the voltage-SOC profile based on the acquired voltage, current, temperature, or a combination thereof.

[0050] In one embodiment, the acquisition unit 141 can read the voltage, current, temperature, or a combination thereof from each of the plurality of battery units 111, 113, 115, and generate the voltage-SOC profile based on the read voltage, current, temperature, or a combination thereof.

[0051] In one embodiment, the identification unit 143 may identify a designated first number ranking for each of the plurality of battery units 111, 113, and 115 based on the voltage-SOC profile. Here, the designated first number may correspond to the number of SOC intervals. Here, the designated first number may be less than the number of SOC intervals. Here, the SOC intervals may include intervals for identifying the SOC during charging of the battery units from 0% to 100% and / or intervals for identifying the SOC during discharging of the battery units from 100% to 0%.

[0052] For example, referring to FIG. 3 , the designated first number may be 4, which is the number of SOC intervals (R1, R2, R3, R4) in which the battery unit is charging. As another example, the designated first number may be 2, which is less than the number of SOC intervals (R1, R2, R3, R4) in which the battery unit is charging. In one embodiment, the SOC interval (R1) may be the interval from 0% to 5% SOC, the SOC interval (R2) may be the interval from 5% to 25% SOC, the SOC interval (R3) may be the interval from 25% to 60% SOC, and the SOC interval (R4) may be the interval from 60% to 100% SOC. Furthermore, the designated first number may be 8, which is the number of SOC intervals (R1, R2, R3, R4) in which the battery unit is charging and the number of SOC intervals (R5, R6, R7, R8) in which the battery unit is discharging. As another example, the specified first number may be four, which is the sum of two SOC intervals (R1, R2, R3, R4) in which the battery units are charging and two SOC intervals (R5, R6, R7, R8) in which the battery units are discharging. In one embodiment, the SOC interval (R5) may be an interval where the SOC is 100% to 60%, the SOC interval (R6) may be an interval where the SOC is 60% to 25%, the SOC interval (R7) may be an interval where the SOC is 25% to 5%, and the SOC interval (R8) may be an interval where the SOC is 5% to 0%.

[0053] In one embodiment, the identification unit 143 can identify the ranks of the plurality of battery units 111, 113, 115 in each of a first number of SOC zones among the SOC zones. In one embodiment, the first number of SOC zones can include two SOC zones in the SOC zone (R1, R2, R3, R4) during charging and two SOC zones in the SOC zone (R5, R6, R7, R8) during discharging of the battery units. For example, the identification unit 143 can identify the ranks of the plurality of battery units 111, 113, 115 in the SOC zone (R1), the ranks of the plurality of battery units 111, 113, 115 in the SOC zone (R4), the ranks of the plurality of battery units 111, 113, 115 in the SOC zone (R5), and the ranks of the plurality of battery units 111, 113, 115 in the SOC zone (R8).

[0054] In one embodiment, the identification unit 143 may identify a representative voltage value of the first number of SOC intervals for each of the voltage-SOC profiles and identify the ranking based on the representative voltage value. Here, the representative voltage value may be an average value of the voltage values ​​of the first number of SOC intervals. Therefore, the identification unit 143 may identify the average value of the voltage values ​​of the first number of SOC intervals as the representative voltage value. For example, the identifying unit 143 may identify the average value of the voltage values ​​of each of the first number of SOC sections as the representative voltage value, as shown in Table 1 below.

[0055] [Table 1]

[0056] Referring to Table 1, the representative voltage values ​​in the SOC sections (R1, R4) during charging of the battery unit 111 may be 3.458 and 4.064. Also, the representative voltage values ​​in the SOC sections (R5, R8) during discharging of the battery unit 111 may be 3.847 and 3.385. For example, the identification unit 143 may identify the ranking as shown in Table 2 below based on the representative voltage values ​​as shown in Table 1 above.

[0057] [Table 2]

[0058] Referring to Table 2, the ranking of the battery unit 111 in the SOC section (R1, R4) during charging may be 42, 42. Also, the ranking of the battery unit 111 in the SOC section (R5, R8) during discharging may be 42, 42. In one embodiment, the diagnosis unit 145 can diagnose abnormalities in the plurality of battery units 111, 113, 115 based on changes in the ranking. For example, the identification unit 143 can identify a change in the ranking as shown in Table 3 below based on the ranking as shown in Table 2 above.

[0059] [Table 3]

[0060] Referring to Table 3, the change in rank between the SOC sections (R1, R4) during charging of the battery unit 111 may be 0. Also, the change in rank between the SOC sections (R5, R8) during discharging of the battery unit 111 may be 0. As shown in Table 3, the diagnosis unit 145 can identify the change in rank between the SOC sections (R1, R4) during charging and the change in rank between the SOC sections (R5, R8) during discharging.

[0061] In one embodiment, the diagnosis unit 145 may diagnose at least one battery unit among the plurality of battery units 111, 113, and 115, whose rank changes by more than a reference value, as an abnormal battery unit. 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 units. For example, a value corresponding to 90% of the number of battery units 111, 113, and 115 (or a rounded-up, rounded-down, or rounded-up value of the value corresponding to 90%) may be set as the reference value. For example, if the number of battery units 111, 113, and 115 is 238, the reference value may be 214. As another example, if the number of battery units 111, 113, and 115 is 196, the reference value may be 176.

[0062] In one embodiment, the diagnosing unit 145 can diagnose as the abnormal battery unit at least one battery unit whose rank increases by more than the reference value and whose rank decreases by more than the reference value among the plurality of battery units 111, 113, 115. In one embodiment, the diagnosing unit 145 can diagnose as the abnormal battery unit at least one battery unit whose rank increases by more than the reference value during charging and whose rank decreases by more than the reference value during discharging.

[0063] For example, if the reference value is 8, the diagnosing unit 145 can diagnose as an abnormal battery unit a battery unit in which the change between the rank of the SOC interval (R1) and the rank of the SOC interval (R4) increases by 8 or more and the change between the rank of the SOC interval (R5) and the rank of the SOC interval (R8) decreases by 8 or more.

[0064] In one embodiment, the abnormality processing unit 147 can perform an abnormality processing function based on the abnormality diagnosis results of the plurality of battery units 111, 113, 115. In one embodiment, the abnormality processing function can include a notification function or a short circuit function.

[0065] For example, the abnormality processing unit 147 can transmit the abnormality diagnosis results of the plurality of battery units 111, 113, 115 to the user terminal 105 connected via a wired and / or wireless network.

[0066] As another example, the abnormality processing unit 147 may isolate an abnormal battery unit from the electronic device 103 based on the abnormality diagnosis result of the plurality of battery units 111, 113, 115. Here, the isolation may include electrical and / or mechanical isolation.

[0067] FIG. 4 is a flowchart showing a method of operation of the battery abnormality diagnosis device 101 according to an embodiment of the present disclosure. 4, in operation 410, the battery abnormality diagnosis device 101 can obtain voltage-SOC profiles of multiple battery units 111, 113, and 115. In one embodiment, the voltage-SOC profile can indicate the relationship between the SOC and voltage of a battery unit (e.g., battery unit 111).

[0068] In one embodiment, the battery abnormality diagnosis device 101 can acquire the voltage-SOC profiles of the plurality of battery units 111, 113, 115 via an electronic device 103 connected via a wired and / or wireless network. In another embodiment, the battery abnormality diagnosis device 101 can acquire the voltage, current, temperature, or a combination thereof of the plurality of battery units 111, 113, 115 via an electronic device 103 connected via a wired and / or wireless network, and generate the voltage-SOC profile based on the acquired voltage, current, temperature, or a combination thereof.

[0069] In one embodiment, the battery abnormality diagnosis device 101 can read the voltage, current, temperature, or a combination thereof from each of the plurality of battery units 111, 113, 115, and generate the voltage-SOC profile based on the read voltage, current, temperature, or a combination thereof.

[0070] In operation 420, the battery abnormality diagnosis device 101 may identify a ranking of the plurality of battery units 111, 113, and 115. In one embodiment, the battery abnormality diagnosis device 101 may identify a designated first number of rankings of each of the plurality of battery units 111, 113, and 115 based on the voltage-SOC profile. Here, the designated first number may correspond to the number of SOC intervals. Here, the designated first number may be less than the number of SOC intervals. Here, the SOC intervals may include an interval for identifying an SOC during charging of the battery unit from 0% to 100% and / or an interval for identifying an SOC during discharging of the battery unit from 100% to 0%.

[0071] In one embodiment, the battery abnormality diagnosis device 101 can identify a representative voltage value of the first number of SOC intervals for each of the voltage-SOC profiles and identify the ranking based on the representative voltage value, where the representative voltage value may be an average value of the voltage values ​​of the first number of SOC intervals.

[0072] In operation 430, the battery abnormality diagnosis device 101 can diagnose abnormalities in the multiple battery units 111, 113, and 115 based on the change in ranking. In one embodiment, the diagnosis unit 145 may diagnose at least one battery unit among the plurality of battery units 111, 113, and 115, whose rank changes by more than a reference value, as an abnormal battery unit. Here, the abnormal battery may include a degraded battery (or an excessively degraded battery). The reference value may be set based on the number of the plurality of battery units. For example, a value corresponding to 90% of the number of battery units 111, 113, and 115 (or a rounded-up, rounded-down, or rounded-up value of the value corresponding to 90%) may be set as the reference value. For example, if the number of battery units 111, 113, and 115 is 238, the reference value may be 214. As another example, if the number of battery units 111, 113, and 115 is 196, the reference value may be 176.

[0073] In one embodiment, the diagnosing unit 145 can diagnose as the abnormal battery unit at least one battery unit whose rank increases by more than the reference value and whose rank decreases by more than the reference value among the plurality of battery units 111, 113, 115. In one embodiment, the diagnosing unit 145 can diagnose as the abnormal battery unit at least one battery unit whose rank increases by more than the reference value during charging and whose rank decreases by more than the reference value during discharging.

[0074] For example, if the reference value is 8, the diagnosing unit 145 can diagnose as an abnormal battery unit a battery unit in which the change between the rank of the SOC interval (R1) and the rank of the SOC interval (R4) increases by 8 or more and the change between the rank of the SOC interval (R5) and the rank of the SOC interval (R8) decreases by 8 or more.

[0075] In one embodiment, the battery abnormality diagnosis device 101 can perform an abnormality processing function based on the abnormality diagnosis results of the plurality of battery units 111, 113, and 115. In one embodiment, the abnormality processing function can include a notification function or a short-circuit function.

[0076] For example, the battery abnormality diagnosis device 101 can transmit the abnormality diagnosis results of the plurality of battery units 111, 113, 115 to a user terminal 105 connected via a wired and / or wireless network.

[0077] As another example, the battery abnormality diagnosis device 101 can isolate an abnormal battery unit from the electronic device 103 based on the abnormality diagnosis results of the plurality of battery units 111, 113, 115. Here, the isolation can include electrical and / or mechanical isolation.

[0078] 5 is a flowchart showing an operation method of the battery abnormality diagnosis device 101 according to an embodiment of the present disclosure. The operation of FIG. 5 can be performed for each of the battery units 111, 113, and 115. The operation of FIG. 5 can be included in operation 430 of FIG. 4.

[0079] Referring to FIG. 5, in operation 510, the battery abnormality diagnosis device 101 can identify a change in the ranking of the battery units. In operation 520, the battery abnormality diagnosis device 101 may determine whether the rank increases by more than a reference value during discharge. The reference value may be set based on the number of the plurality of battery units. For example, a value corresponding to 90% of the number of battery units 111, 113, and 115 (or a value rounded up, down, or up to 90%) may be set as the reference value. For example, if the number of battery units 111, 113, and 115 is 238, the reference value may be 214. As another example, if the number of battery units 111, 113, and 115 is 196, the reference value may be 176.

[0080] In one embodiment, the battery abnormality diagnosis device 101 can determine whether or not there is a section during charging where the voltage increases by more than a reference value. If the result of the determination in operation 520 is that the ranking increases by more than the reference value during charging (YES determination), the battery abnormality diagnosis device 101 can perform operation 530. If the result of the determination in operation 520 is that the ranking does not increase by more than the reference value during charging (NO determination), the battery abnormality diagnosis device 101 can perform operation 550.

[0081] In operation 530, the battery abnormality diagnosis device 101 can determine whether the rank decreases by more than a reference value during discharging. Here, the reference value may be the same as the reference value in operation 520.

[0082] In one embodiment, the battery abnormality diagnosis device 101 can determine whether the rank decreases by more than a reference value during discharging. If the result of the determination in operation 530 is that the ranking decreases by more than the reference value during discharging (YES determination), the battery abnormality diagnosis device 101 can perform operation 540. If the result of the determination in operation 530 is that the ranking does not decrease by more than the reference value during discharging (NO determination), the battery abnormality diagnosis device 101 can perform operation 550.

[0083] In operation 540, the battery abnormality diagnosis device 101 can diagnose the battery as abnormal. In operation 550, the battery abnormality diagnosis device 101 can diagnose the battery as normal.

[0084] In some embodiments, operation 520 and operation 530 may be performed simultaneously, or operation 520 may be performed after operation 530 has been performed.

Claims

1. an acquisition unit that acquires voltage-SOC (state of charge) profiles of a plurality of battery units; an identification unit that identifies a designated first number ranking of each of the plurality of battery units based on the voltage-SOC profile; a diagnosis unit that diagnoses abnormalities in the plurality of battery units based on the change in the ranking; A battery abnormality diagnosis device comprising:

2. The identification unit identifying a representative voltage value for the first number of SOC intervals for each of the voltage-SOC profiles; The battery abnormality diagnosis device according to claim 1 , wherein the ranking is identified based on the representative voltage value.

3. The identification unit The battery abnormality diagnosis device according to claim 2 , wherein an average value of the voltage values ​​in each of the first number of SOC intervals is identified as a representative voltage value.

4. The diagnostic unit The battery abnormality diagnostic device according to claim 1 , wherein at least one battery unit among the plurality of battery units whose rank changes by a reference value or more is diagnosed as an abnormal battery unit.

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

6. The diagnostic unit 5. The battery abnormality diagnosis device according to claim 4, wherein at least one battery unit among the plurality of battery units whose rank during charging increases by more than the reference value and whose rank during discharging decreases by more than the reference value is diagnosed as the abnormal battery unit.

7. The acquisition unit 2. The battery abnormality diagnosis device according to claim 1, wherein the voltage-SOC profiles of the plurality of battery units are acquired via an external electronic device connected via a wired and / or wireless network.

8. The acquisition unit reading a voltage, a current, a temperature, or a combination thereof from each of the plurality of battery units; 2. The battery abnormality diagnosis device according to claim 1, wherein the voltage-SOC profile is generated 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 units are any of battery cells, battery modules, battery packs, and battery racks.

10. further comprising an abnormality processing unit that performs an abnormality processing function based on the abnormality diagnosis results of the plurality of battery units; The battery abnormality diagnosis device according to claim 1 , wherein the abnormality processing function includes a notification function or a short-circuit function.

11. An operation of acquiring voltage-SOC (state of charge) profiles of a plurality of battery units; identifying a designated first number ranking for each of the plurality of battery units based on the voltage-SOC profile; an operation of diagnosing an abnormality in the plurality of battery units based on the change in the ranking; A method for operating a battery abnormality diagnosis device, comprising:

12. The act of identifying includes: identifying a representative voltage value for the first number of SOC intervals for each of the voltage-SOC profiles; and identifying the ranking based on the representative voltage value.

13. The act of identifying includes: The method of claim 12 including identifying an average of the voltage values ​​for each of the first number of SOC intervals as a representative voltage value.

14. The diagnosing operation includes: The operating method according to claim 11 , further comprising an operation of diagnosing, as an abnormal battery unit, at least one battery unit of the plurality of battery units whose rank changes by a reference value or more.

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

16. The diagnosing operation includes: The operating method according to claim 14, further comprising an operation of diagnosing, as the abnormal battery unit, at least one battery unit among the plurality of battery units whose ranking during charging increases by more than the reference value and whose ranking during discharging decreases by more than the reference value.

17. The obtaining operation includes: The method of claim 11, comprising obtaining the voltage-SOC profiles of the plurality of battery units via an external electronic device connected via a wired and / or wireless network.

18. The obtaining operation includes: reading a voltage, a current, a temperature, or a combination thereof from each of the plurality of battery units; and generating the voltage-SOC profile based on the sensed voltage, current, temperature, or a combination thereof.

19. The operating method of claim 11 , wherein the plurality of battery units are any of battery cells, battery modules, battery packs, or battery racks.

20. and performing an abnormality processing function based on the abnormality diagnosis results of the plurality of battery units. The operating method of claim 11 , wherein the abnormality processing function includes a notification function or a short-circuit function.

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