Battery diagnostic device and operation method thereof

Abstract

A battery diagnostic device according to one embodiment disclosed in this document may include an acquisition unit that acquires a first voltage value for each of a plurality of battery units, an identification unit that identifies second voltage values ​​for a plurality of different standby periods from the first voltage values, a determination unit that determines an average voltage value for the plurality of different standby periods for each of the plurality of battery units based on the second voltage values, and a diagnosis unit that diagnoses an abnormality in each of the plurality of battery units based on at least one deviation value between the average voltage values.

Description

[Technical Field]

[0001] The present invention claims the benefit of priority based on Korean Patent Application No. 10-2022-0151070, filed November 11, 2022, and all contents disclosed in the documents of this Korean patent application are incorporated herein by reference. SUMMARY OF THE INVENTION The embodiments disclosed herein relate to a battery diagnostic device and a method of operation thereof. [Background technology]

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

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

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

[0005] Such batteries may be managed and controlled in status and operation by a battery management system (BMS), which may be included with the batteries in a device, or which may 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 the device containing the battery.

[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 diagnostic device according to one embodiment disclosed in this document may include an acquisition unit that acquires a first voltage value for each of a plurality of battery units, an identification unit that identifies second voltage values ​​for a plurality of different standby periods from the first voltage values, a determination unit that determines an average voltage value for the plurality of different standby periods for each of the plurality of battery units based on the second voltage values, and a diagnosis unit that diagnoses an abnormality in each of the plurality of battery units based on at least one deviation value between the average voltage values.

[0009] In one embodiment of the battery diagnostic device disclosed in this document, the diagnostic unit calculates a first deviation value for each of the plurality of battery units, among the average voltage values, by subtracting a second average voltage value for a second standby period after the first standby period from a first average voltage value for a first standby period, and can diagnose abnormalities in each of the plurality of battery units based on the first deviation value.

[0010] In one embodiment of the battery diagnostic device disclosed in this document, the diagnostic unit can diagnose an abnormality in each of the plurality of battery units based on at least one of the maximum value, minimum value, or average value of the at least one deviation value.

[0011] In the battery diagnostic device according to one embodiment disclosed herein, the diagnostic unit can diagnose at least one battery unit whose maximum value is greater than a first reference value as an abnormal battery unit.

[0012] In the battery diagnostic device according to one embodiment disclosed herein, the diagnostic unit can diagnose at least one battery unit having the minimum value greater than a second reference value as an abnormal battery unit.

[0013] In the battery diagnostic device according to one embodiment disclosed herein, the diagnostic unit can diagnose at least one battery unit whose average value is greater than a third reference value as an abnormal battery unit.

[0014] In one embodiment of the battery diagnostic device disclosed in this document, the identification unit can set the different standby periods to periods having voltage values, current values, charge amounts, and / or discharge amounts within specified ranges.

[0015] The battery diagnostic device according to one embodiment disclosed herein may further include an abnormality processing unit that performs an abnormality processing function based on the abnormality diagnosis results of each of the plurality of battery units, and the abnormality processing function may include a notification function or a short-circuit function.

[0016] A battery diagnosis method according to one embodiment disclosed in this document may include an operation of acquiring a first voltage value for each of a plurality of battery units, an operation of identifying second voltage values ​​for a plurality of different standby periods from the first voltage values, an operation of determining an average voltage value for the plurality of different standby periods for each of the plurality of battery units based on the second voltage values, and an operation of diagnosing an abnormality in each of the plurality of battery units based on at least one deviation value between the average voltage values.

[0017] In one embodiment of a battery diagnostic method disclosed in this document, the operation of diagnosing an abnormality in each of the plurality of battery units may include an operation of calculating a first deviation value for each of the plurality of battery units, which is obtained by subtracting a second average voltage value in a second standby period after the first standby period from a first average voltage value in a first standby period, and an operation of diagnosing an abnormality in each of the plurality of battery units based on the first deviation value.

[0018] In one embodiment of the battery diagnostic method disclosed in this document, the operation of diagnosing an abnormality in each of the plurality of battery units may include an operation of diagnosing an abnormality in each of the plurality of battery units based on at least one of the maximum value, minimum value, or average value of the at least one deviation value.

[0019] In one embodiment of a battery diagnostic method disclosed in this document, the operation of diagnosing abnormalities in each of the plurality of battery units may include an operation of diagnosing at least one battery unit whose maximum value is greater than a first reference value as an abnormal battery unit.

[0020] In one embodiment of a battery diagnosis method disclosed in this document, the operation of diagnosing abnormalities in each of the plurality of battery units may include an operation of diagnosing at least one battery unit whose minimum value is greater than a second reference value as an abnormal battery unit.

[0021] In one embodiment of a battery diagnosis method disclosed in this document, the operation of diagnosing abnormalities in each of the plurality of battery units may include an operation of diagnosing at least one battery unit whose average value is greater than a third reference value as an abnormal battery unit.

[0022] The battery diagnosis method according to one embodiment disclosed herein may further include an operation of setting the different standby periods to periods having voltage values, current values, charge amounts, and / or discharge amounts within specified ranges. [Effects of the Invention]

[0023] The battery diagnostic device and method of operation according to various embodiments disclosed herein can detect the occurrence of short circuits or other types of faults within a battery.

[0024] The battery diagnostic device and method of operation according to various embodiments disclosed herein can handle detected short circuits or other types of faults within the battery.

[0025] 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. In addition, this document can provide various other benefits that can be perceived directly or indirectly. [Brief explanation of the drawings]

[0026] [Figure 1] 10 is a graph showing the difference in the degree of voltage change between a normal battery unit and an abnormal battery unit during a standby period. [Figure 2] 1 is a block diagram of a battery diagnostic device according to an embodiment; [Figure 3a] 10 is a graph illustrating an example of setting a standby period after charging of a battery unit according to an embodiment; [Figure 3b]10 is a graph illustrating an example of setting a standby period after discharging a battery unit according to an embodiment; [Figure 4] 4 is an operation flowchart of the battery diagnostic device according to one embodiment. [Figure 5] 4 is an operation flowchart of the battery diagnostic device according to one embodiment. DETAILED DESCRIPTION OF THE INVENTION

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

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

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

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

[0031] According to one embodiment, the method 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., a 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.

[0032] According to various embodiments, each of the aforementioned components (e.g., modules or programs) may include one or more entities, and some of the entities may be located separately in other components. According to various embodiments, one or more of the aforementioned components or operations may be omitted, or one or more other components or operations may be added. Alternatively or additionally, multiple components (e.g., modules or programs) may be integrated into a single component. In this case, the integrated component may perform one or more functions of each of the multiple components in the same or similar manner as those performed by the respective components of the multiple components before the integration. According to various embodiments, operations performed by modules, programs, or other components may be performed sequentially, in parallel, iteratively, or heuristically, or one or more of the operations may be performed in a different order, omitted, or one or more other operations may be added.

[0033] FIG. 1 is a graph showing the difference in the degree of voltage change between a normal battery unit and an abnormal battery unit during the standby period. Referring to FIG. 1, a graph 10 showing the voltage 11 of a normal battery unit and the voltage 13 of an abnormal battery unit can be seen. In graph 10, it can be seen that the voltage 11 of the normal battery unit has a relatively small difference in voltage value during each standby period where the voltage value is maintained constant (e.g., a standby period after charging or a standby period after discharging). In contrast, it can be seen that the voltage 13 of the abnormal battery unit has a relatively large difference in voltage value during each standby period. For example, the voltage 13 of the abnormal battery unit may drop significantly as the standby period is repeated. If a short circuit or other type of fault occurs inside the battery unit, abnormal behavior such as the voltage 13 of the abnormal battery unit may be exhibited.

[0034] In this way, damage to electronic devices can occur due to a battery unit exhibiting abnormal behavior such as abnormal battery unit voltage 13. For this reason, it is necessary to detect battery units exhibiting abnormal behavior among battery units and take appropriate measures.

[0035] FIG. 2 is a block diagram of a battery diagnostic device according to one embodiment. Referring to FIG. 2, the battery diagnostic device 101 may be connected to the electronic device 103 and the user terminal 105 via wire and / or wireless.

[0036] In one embodiment, the connection (104) between the battery diagnostic 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, a 5G network).

[0037] In another embodiment, the connection (104) between the battery diagnostic device 101 and the electronic device 103 may be a connection via an inter-device communication method (e.g., a bus, a general purpose input and output (GPIO), a serial peripheral interface (SPI), or a mobile industry processor interface (MIPI)).

[0038] In one embodiment, the connection (106) between the battery diagnostic device 101 and the user terminal 105 may be a communication connection via a wired and / or wireless network.

[0039] 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 electric vehicle (EV), a hybrid EV (HEV), a plug-in HEV (PHEV), or a fuel cell EV (FCEV)), an energy storage system (ESS), or a battery swapping system (BSS).

[0040] 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.

[0041] 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).

[0042] In one embodiment, the battery diagnostic device 101 may include a communication circuit 120, a sensor 130, a memory 140, and a processor 150. According to an embodiment, the battery diagnostic 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.

[0043] In one embodiment, the communication circuit 120 can establish a wired communication channel and / or a wireless communication channel between the battery diagnostic device 101 and the electronic device 103 and / or the user terminal 105, and can transmit and receive data to and from the electronic device 103 and / or the user terminal 105 via the established communication channel.

[0044] 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 ​​related to 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."

[0045] 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 diagnostic device 101. For example, the data can include software (or associated instructions), 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 operation defined by the instructions.

[0046] In one embodiment, memory 140 may include one or more pieces of software (eg, an acquisition unit 141, an identification unit 143, a determination unit 145, a diagnosis unit 147, and an anomaly handler 149).

[0047] 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.

[0048] In one embodiment, the processor 150 can execute software (e.g., the acquisition unit 141, the identification unit 143, the determination unit 145, the diagnosis unit 147, and the abnormality processing unit 149), control at least one other component (e.g., a hardware or software component) of the battery diagnosis device 101 coupled to the processor 150, and perform various data processing or calculations.

[0049] Below, with reference to Figures 3a, 3b, and 4, we will explain how the battery diagnostic device 101 diagnoses abnormalities in the battery units 111, 113, and 115 via the acquisition unit 141, the identification unit 143, the determination unit 145, the diagnosis unit 147, and / or the abnormality processing unit 149.

[0050] 3a is a graph illustrating an example of setting a standby period after charging a battery unit according to an embodiment. FIG. 3b is a graph illustrating an example of setting a standby period after discharging a battery unit according to an embodiment. FIG. 3a and FIG. 3b will be described using the configuration of FIG. 2.

[0051] In one embodiment, the acquisition unit 141 can acquire a first voltage value for each of the plurality of battery units 111, 113, and 115. In one embodiment, the acquisition unit 141 can acquire a plurality of voltage profiles that indicate voltage changes over time for each of the plurality of battery units 111, 113, and 115. The acquisition unit 141 can acquire the first voltage value based on the acquired plurality of voltage profiles.

[0052] In one embodiment, the acquiring unit 141 may acquire the first voltage values ​​of the battery units 111, 113, and 115 via the electronic device 103 connected via a wired and / or wireless network.

[0053] In one embodiment, the identification unit 143 can identify second voltage values ​​of different standby intervals from the first voltage value. In one embodiment, the identification unit 143 can set the different standby intervals to intervals having a specified range of voltage value, current value, charge amount, and / or discharge amount. The identification unit 143 can extract the different standby intervals for each of the battery units 111, 113, and 115 from the acquired voltage profiles and identify the second voltage value in the interval for each of the battery units 111, 113, and 115. In one embodiment, the different standby periods may be different standby periods after charging or different standby periods after discharging.

[0054] For example, referring to FIG. 3A, a charging section (S1) and a post-charging standby section (S2) can be identified in graph 310. In one embodiment, the identification unit 143 can identify the charging section (S1) having a specified charge amount from the plurality of SOC profiles of each of the plurality of battery units 111, 113, and 115. To this end, the acquisition unit 141 can acquire the plurality of SOC profiles of each of the plurality of battery units 111, 113, and 115 via the electronic device 103 connected via a wired and / or wireless network. In one embodiment, the identification unit 143 can extract the post-charging standby section (S2) based on the voltage and / or current values ​​of each of the plurality of battery units 111, 113, and 115 after the charging section (S1). For example, the identification unit 143 can extract a section in which the current value of the battery unit 111, 113, or 115 is within a first current range (e.g., a range of 0 A to 1 A) as the post-charging standby section (S2).

[0055] 3b, a discharging section (S3) and a post-discharge standby section (S4) can be identified in graph 320. In one embodiment, the identification unit 143 can identify a discharging section (S3) having a specified discharge amount from the multiple SOC profiles of each of the multiple battery units 111, 113, and 115. In one embodiment, the identification unit 143 can extract the post-discharge standby section (S4) based on the voltage value and / or current value of each of the multiple battery units 111, 113, and 115 after the discharging section (S3). For example, the identification unit 143 can extract a section in which the current value of the battery unit 111, 113, or 115 is within a second current range (e.g., a range of −1 A to 0 A) as the post-charge standby section (S2).

[0056] In one embodiment, the identification unit 143 can identify the second voltage values ​​of each of the multiple battery units 111, 113, 115 in the extracted different standby periods (e.g., different standby periods after charging or different standby periods after discharging).

[0057] In one embodiment, the determination unit 145 may determine, based on the second voltage value, average voltage values ​​for different standby periods (e.g., different standby periods after charging or different standby periods after discharging) for each of the battery units 111, 113, and 115. For example, the determination unit 145 may determine average voltage values ​​for different standby periods after charging for each of the battery units 111, 113, and 115, as shown in Table 1 below.

[0058] [Table 1]

[0059] Referring to Table 1, it can be seen that the average voltage of battery unit 111 remains constant at 4.0514, 4.0513, 4.0513, and 4.0513 even as the standby period after charging is repeated, whereas the average voltage of battery unit 113 decreases relatively to 4.0502, 4.0495, 4.0485, and 4.0460 as the standby period after charging is repeated.

[0060] As another example, the determination unit 145 may determine average voltage values ​​in a plurality of different standby periods after discharge for each of the plurality of battery units 111, 113, and 115, as shown in Table 2 below.

[0061] [Table 2]

[0062] Referring to Table 2, it can be seen that the average voltage of battery unit 111 remains constant at 3.5122, 3.5122, 3.5122, and 3.5122 even as the standby period after discharge is repeated, whereas the average voltage of battery unit 113 relatively decreases to 3.5125, 3.5102, 3.5088, and 3.5049 as the standby period after discharge is repeated.

[0063] In one embodiment, the diagnosis unit 147 can diagnose an abnormality in each of the battery units 111, 113, 115 based on at least one deviation between the average voltage values, where the at least one deviation may be a value obtained by subtracting the average voltage value of a specific standby period after the previous standby period from the average voltage value of the previous standby period.

[0064] In one embodiment, the diagnosis unit 147 may calculate a first deviation value for each of the plurality of battery units 111, 113, and 115, which is obtained by subtracting a second average voltage value for a second standby period that follows the first standby period from a first average voltage value for the first standby period. The diagnosis unit 147 may diagnose an abnormality in the battery unit 111, 113, or 115 based on the calculated first deviation value. In one embodiment, the diagnosis unit 147 may diagnose the battery unit 111, 113, or 115 whose calculated first deviation value is greater than a specified value as an abnormal battery unit.

[0065] For example, the diagnosis unit 147 can calculate a deviation value of 0.0007 by subtracting the average voltage value of 4.0495 in the standby period after the second charge from the average voltage value of 4.0502 in the standby period after the first charge of the battery unit 113 in Table 1. Because the calculated deviation value of 0.0007 is greater than a specified value (e.g., 0), the diagnosis unit 147 can diagnose the battery unit 113 as an abnormal battery unit.

[0066] In one embodiment, the diagnosis unit 147 can diagnose an abnormality in each of the plurality of battery units 111, 113, and 115 based on at least one of the maximum value, minimum value, and average value of at least one deviation value between the average voltage values. In one embodiment, the diagnosis unit 147 can diagnose an abnormality in the battery unit 111, 113, or 115 based on at least one of the maximum value, minimum value, and average value of at least three deviation values ​​between the average voltage values ​​of the battery units 111, 113, or 115.

[0067] Below, we will use the battery unit 113 in Table 1 above as an example to explain how the diagnosing unit 147 diagnoses an abnormality in the battery unit 113 based on at least one of the maximum, minimum, or average value of at least one deviation value.

[0068] The diagnosis unit 147 can calculate a first deviation value of 0.0007 by subtracting the average voltage value of 4.0495 in the standby section after the second charge from the average voltage value of 4.0502 in the standby section after the first charge of the battery unit 113 in Table 1 above. The diagnosis unit 147 can calculate a second deviation value of 0.001 by subtracting the average voltage value of 4.0485 in the standby section after the third charge from the average voltage value of 4.0495 in the standby section after the second charge of the battery unit 113. The diagnosis unit 147 can calculate a third deviation value of 0.0025 by subtracting the average voltage value of 4.0460 in the standby section after the fourth charge from the average voltage value of 4.0485 in the standby section after the third charge of the battery unit 113. The diagnosis unit 147 can diagnose an abnormality in the battery unit 113 based on at least one of the maximum, minimum, and average values ​​of the first, second, and third deviation values. For example, the diagnostic unit 147 can diagnose the battery unit 113 as an abnormal battery unit because the maximum value of the deviation, 0.0025, is greater than a first reference value (e.g., 0.002). As another example, the diagnostic unit 147 can diagnose the battery unit 113 as an abnormal battery unit because the minimum value of the deviation, 0.0007, is greater than a second reference value (e.g., 0). As yet another example, the diagnostic unit 147 can diagnose the battery unit 113 as an abnormal battery unit because the average value of the deviation, 0.0014, is greater than a third reference value (e.g., 0.001).

[0069] By using the method described above, the diagnosing unit 147 can diagnose the battery unit 111, 113, or 115, whose average voltage value relatively decreases as the standby period is repeated, as an abnormal battery unit.

[0070] In one embodiment, the abnormality processing unit 149 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.

[0071] For example, the abnormality processing unit 149 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.

[0072] As another example, the abnormality processing unit 149 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.

[0073] 4 is a flowchart illustrating the operation of the battery diagnostic device according to one embodiment, which will be explained using the configuration of FIG. The embodiment shown in FIG. 4 is just one embodiment, and the order of steps according to various embodiments of the present invention may differ from that shown in FIG. 4, and some steps shown in FIG. 4 may be omitted, the order between steps may be changed, or steps may be merged.

[0074] 4, in operation 405, the battery diagnostic device 101 may acquire a first voltage value for each of the plurality of battery units 111, 113, and 115. In one embodiment, the battery diagnostic device 101 may acquire a plurality of voltage profiles indicating voltage changes over time for each of the plurality of battery units 111, 113, and 115. The battery diagnostic device 101 may acquire the first voltage value based on the acquired plurality of voltage profiles.

[0075] In one embodiment, the battery diagnostic device 101 can obtain the first voltage value of each of the plurality of battery units 111, 113, 115 via an electronic device 103 connected via a wired and / or wireless network.

[0076] In operation 410, the battery diagnostic device 101 can identify second voltage values ​​of different standby periods from the first voltage values ​​acquired in operation 505. In one embodiment, the battery diagnostic device 101 can set the different standby periods to periods having a specified range of voltage values, current values, charge amounts, and / or discharge amounts. The battery diagnostic device 101 can extract the different standby periods for each of the battery units 111, 113, and 115 from the acquired voltage profiles, and identify the second voltage values ​​in the periods for each of the battery units 111, 113, and 115. In one embodiment, the different standby periods may be different standby periods after charging or different standby periods after discharging.

[0077] In operation 415, the battery diagnostic device 101 can determine an average voltage value for a plurality of different standby periods (e.g., a plurality of different standby periods after charging or a plurality of different standby periods after discharging) for each of the plurality of battery units 111, 113, 115 based on the second voltage value identified in operation 410.

[0078] In operation 420, the battery diagnostic device 101 can diagnose abnormalities in each of the plurality of battery units 111, 113, and 115. In one embodiment, the battery diagnostic device 101 can diagnose an abnormality in each of the plurality of battery units 111, 113, 115 based on at least one deviation value between the average voltage values ​​determined in operation 415. Here, the at least one deviation value may be a value obtained by subtracting the average voltage value of a specific standby period after the previous standby period from the average voltage value of the previous standby period.

[0079] In one embodiment, the battery diagnostic device 101 can calculate a first deviation value for each of the plurality of battery units 111, 113, and 115, which is obtained by subtracting a second average voltage value for a second standby period that follows the first standby period from a first average voltage value for the first standby period. The battery diagnostic device 101 can diagnose an abnormality in the battery unit 111, 113, or 115 based on the calculated first deviation value. In one embodiment, the diagnosis unit 147 can diagnose the battery unit 111, 113, or 115 whose calculated first deviation value is greater than a specified value as an abnormal battery unit.

[0080] In one embodiment, the battery diagnostic device 101 can diagnose an abnormality in each of the multiple battery units 111, 113, and 115 based on at least one of the maximum value, minimum value, and average value of at least one deviation value between the average voltage values. In one embodiment, the battery diagnostic device 101 can diagnose an abnormality in the battery unit 111, 113, or 115 based on at least one of the maximum value, minimum value, and average value of at least three deviation values ​​between the average voltage values ​​of the battery units 111, 113, or 115.

[0081] Operation 420 in which battery diagnostic device 101 diagnoses abnormalities in each of multiple battery units 111, 113, 115 will be described in more detail with reference to FIG.

[0082] 5 is a flowchart illustrating the operation of a battery diagnostic device according to an embodiment of the present invention, which will be described using the configuration of FIG. The embodiment shown in Fig. 5 is just one embodiment, and the order of steps according to various embodiments of the present invention may differ from that shown in Fig. 5, and some steps shown in Fig. 5 may be omitted, the order of steps may be changed, or steps may be merged. For example, in Fig. 5, all operations except for at least one of operation 505, operation 515, or operation 520 may be omitted.

[0083] In operation 505, the battery diagnostic device 101 can identify whether the maximum deviation value of at least one of the battery units 111, 113, or 115 exceeds a first reference value.

[0084] If in operation 505 it is identified that the maximum deviation value of at least one of battery units 111, 113, or 115 is less than or equal to the first reference value (“NO”), in operation 510 the battery diagnostic device 101 can diagnose battery unit 111, 113, or 115 as a normal battery unit.

[0085] If in operation 505 it is identified that the maximum value of the deviation value of at least one of battery units 111, 113, or 115 exceeds a first reference value (“YES”), in operation 515 the battery diagnostic device 101 can identify whether the maximum value of the deviation value of at least one of battery units 111, 113, or 115 exceeds a second reference value.

[0086] If in operation 515 it is identified that the maximum deviation value of at least one of battery units 111, 113, or 115 is less than or equal to the second reference value (“NO”), in operation 510 the battery diagnostic device 101 can diagnose battery unit 111, 113, or 115 as a normal battery unit.

[0087] If in operation 515 it is identified that the maximum value of the deviation value of at least one of the battery units 111, 113, or 115 exceeds the second reference value (“YES”), in operation 520 the battery diagnostic device 101 can identify whether the average value of the deviation value of at least one of the battery units 111, 113, or 115 exceeds a third reference value.

[0088] If in operation 520 it is determined that the average value of the deviation values ​​of at least one of battery units 111, 113, or 115 is less than or equal to the third reference value ("NO"), in operation 510 the battery diagnostic device 101 can diagnose battery unit 111, 113, or 115 as a normal battery unit.

[0089] If in operation 520 it is identified that the average value of the deviation values ​​of at least one of battery units 111, 113, or 115 exceeds the third reference value (“YES”), in operation 525 the battery diagnostic device 101 can diagnose battery unit 111, 113, or 115 as an abnormal battery unit.

[0090] As used above, terms such as "comprise," "comprise," or "have" mean that the relevant element can be contained within the term, unless otherwise specified, and should be interpreted as meaning that other elements may be included, rather than excluding other elements. All terms, including technical or scientific terms, have the same meaning as commonly understood by a person of ordinary skill in the art to which the embodiments disclosed herein belong, unless otherwise defined. Commonly used terms, such as dictionary-defined terms, should be interpreted to be consistent with the contextual meaning of the relevant art, and should not be interpreted in an idealized or overly formal sense unless expressly defined herein.

Claims

1. an acquisition unit that acquires a first voltage value of each of the plurality of battery units; an identification unit that identifies second voltage values ​​of different standby periods from among the first voltage values; a determination unit that determines an average voltage value of the different standby periods for each of the battery units based on the second voltage value; a diagnosis unit that diagnoses an abnormality in each of the plurality of battery units based on at least one deviation value between the average voltage values; A battery diagnostic device comprising:

2. The diagnostic unit calculating a first deviation value for each of the plurality of battery units by subtracting a second average voltage value for a second standby period that follows the first standby period from a first average voltage value for the first standby period; The battery diagnostic device according to claim 1 , wherein the device diagnoses an abnormality in each of the plurality of battery units based on the first deviation value.

3. The diagnostic unit The battery diagnostic device according to claim 1 , wherein the device diagnoses an abnormality in each of the plurality of battery units based on at least one of a maximum value, a minimum value, and an average value of the at least one deviation value.

4. The diagnostic unit The battery diagnostic device according to claim 3 , wherein at least one battery unit having the maximum value greater than a first reference value is diagnosed as an abnormal battery unit.

5. The diagnostic unit The battery diagnostic device according to claim 3 , wherein at least one battery unit for which the minimum value is greater than a second reference value is diagnosed as an abnormal battery unit.

6. The diagnostic unit The battery diagnostic device according to claim 3 , wherein at least one battery unit having the average value greater than a third reference value is diagnosed as an abnormal battery unit.

7. The battery diagnostic device according to claim 1 , wherein the identifying unit sets the different standby periods to periods having a specified range of voltage value, current value, charge amount, and / or discharge amount.

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

9. an operation of acquiring a first voltage value of each of the plurality of battery units; identifying second voltage values ​​of different standby periods from the first voltage values; determining an average voltage value of the different standby periods for each of the battery units based on the second voltage value; an operation of diagnosing an abnormality in each of the plurality of battery units based on at least one deviation value between the average voltage values; A battery diagnostic method comprising:

10. The operation of diagnosing an abnormality in each of the plurality of battery units includes: calculating a first deviation value for each of the plurality of battery units by subtracting a second average voltage value for a second standby period that follows the first standby period from a first average voltage value for the first standby period; The battery diagnostic method according to claim 9 , further comprising: an operation of diagnosing an abnormality in each of the plurality of battery units based on the first deviation value.

11. 10. The battery diagnostic method according to claim 9, wherein the operation of diagnosing an abnormality in each of the plurality of battery units includes an operation of diagnosing an abnormality in each of the plurality of battery units based on at least one of a maximum value, a minimum value, or an average value of the at least one deviation value.

12. The battery diagnostic method according to claim 11 , wherein the operation of diagnosing each of the plurality of battery units for an abnormality includes an operation of diagnosing at least one battery unit whose maximum value is greater than a first reference value as an abnormal battery unit.

13. The battery diagnostic method according to claim 11 , wherein the operation of diagnosing each of the plurality of battery units for an abnormality includes an operation of diagnosing at least one battery unit for which the minimum value is greater than a second reference value as an abnormal battery unit.

14. The battery diagnostic method according to claim 11 , wherein the operation of diagnosing each of the plurality of battery units for abnormality includes an operation of diagnosing at least one battery unit for which the average value is greater than a third reference value as an abnormal battery unit.

15. The battery diagnostic method according to claim 9 , further comprising an operation of setting the different standby periods to periods having voltage values, current values, charge amounts, and / or discharge amounts within designated ranges.

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