Battery diagnostic device and operating method thereof

Abstract

A battery diagnostic device according to an embodiment disclosed in the present document comprises: a voltage acquisition unit that acquires voltage information about each of a plurality of battery units included in each of a plurality of vehicles; and a controller that calculates an accumulated voltage variation for each of the plurality of battery units on the basis of the voltage information, calculates at least one deviation value, which is the deviation between the accumulated voltage variations, for each of the plurality of vehicles, and manages the plurality of battery units on the basis of the distribution of the at least one deviation value of the plurality of vehicles.

Description

Battery diagnostic device and its operating method

[0001] Cross-citation with related applications

[0002] This invention claims the benefit of priority from Korean Patent Application No. 10-2023-0125303, filed September 20, 2023, the entire contents of which are incorporated herein by reference.

[0003] Technology field

[0004] The embodiments disclosed in this document relate to a battery diagnostic device and an operating method thereof.

[0005] Recently, research and development on secondary batteries has been actively underway. Here, secondary batteries are defined as rechargeable and dischargeable batteries, encompassing both conventional Ni / Cd and Ni / MH batteries, as well as more recent lithium-ion batteries. Recently, their use has expanded to include power sources for electric vehicles, attracting attention as a next-generation energy storage medium.

[0006] Electric vehicles receive external electricity to charge battery cells, which are then discharged to drive the motor and generate power. Battery cells undergo internal deformation and transformation through various charging and discharging cycles during production and use, altering their physical and chemical properties. For example, internal short circuits, external short circuits, venting due to lithium deposition, or undervoltage failures (where the battery cell voltage drops below a certain level) can occur. These battery degradation and deterioration necessitate technologies for diagnosing and managing the condition of battery cells.

[0007] One purpose of the embodiments disclosed in this document is to provide a battery diagnostic device and an operating method thereof capable of diagnosing an abnormal battery cell based on a voltage change amount of a battery bank.

[0008] One purpose of the embodiments disclosed in this document is to provide a battery diagnostic device and an operating method thereof capable of diagnosing an abnormal type of an abnormal battery cell based on the accumulated voltage change amount of a battery bank.

[0009] 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 descriptions below.

[0010] A battery diagnostic device according to an embodiment disclosed in the present document may include a voltage acquisition unit that acquires voltage information of each of a plurality of battery units included in each of a plurality of vehicles; and a controller that calculates an accumulated voltage change amount of each of the plurality of battery units based on the voltage information, calculates at least one deviation value that is a deviation between the accumulated voltage changes amounts for each of the plurality of vehicles, and manages the plurality of battery units based on a distribution of the at least one deviation value of the plurality of vehicles.

[0011] According to an embodiment, the at least one deviation value of each of the plurality of vehicles may include at least one of a first deviation value and a second deviation value.

[0012] According to an embodiment, the controller may calculate the first deviation value by dividing the difference between the maximum value and the median value of the accumulated voltage change amount of each of the plurality of battery units included in each of the plurality of vehicles by the standard deviation of the accumulated voltage change amount of each of the plurality of battery units.

[0013] According to an embodiment, the controller may calculate the second deviation value by dividing the difference between the minimum value and the median value of the accumulated voltage change amount of each of the plurality of battery units included in each of the plurality of vehicles by the standard deviation of the accumulated voltage change amount of each of the plurality of battery units.

[0014] According to an embodiment, the controller can calculate a first distribution of the plurality of vehicles based on the first deviation value, and can calculate a second distribution of the plurality of vehicles based on the second deviation value.

[0015] According to an embodiment, the controller can diagnose a vehicle in which the deviation value is greater than or equal to a threshold value in a distribution of the at least one deviation value of the plurality of vehicles as an abnormal vehicle including an abnormal battery unit.

[0016] According to an embodiment, the controller can diagnose a battery unit with the largest cumulative voltage change among a plurality of battery units included in the abnormal vehicle as being in an abnormal capacity state.

[0017] According to an embodiment, the controller can diagnose a battery unit with a minimum cumulative voltage change among a plurality of battery units included in the abnormal vehicle as having an insulation abnormality.

[0018] According to an embodiment, the voltage information may be a voltage obtained in a charging section of the plurality of battery units.

[0019] A battery diagnosis method according to one embodiment disclosed in the present document may include the steps of: obtaining voltage information of each of a plurality of battery units included in each of a plurality of vehicles; calculating an accumulated voltage change amount of each of the plurality of battery units based on the voltage information; calculating at least one deviation value, which is a deviation between the accumulated voltage changes amounts, for each of the plurality of vehicles; and managing the plurality of battery units based on a distribution of the at least one deviation value of the plurality of vehicles.

[0020] According to an embodiment, the at least one deviation value of each of the plurality of vehicles may include at least one of a first deviation value and a second deviation value.

[0021] According to an embodiment, the step of calculating the at least one deviation value may include a step of calculating the first deviation value by dividing the difference between the maximum value and the median value of the accumulated voltage change amount of each of the plurality of battery units included in each of the plurality of vehicles by the standard deviation of the accumulated voltage change amount of each of the plurality of battery units.

[0022] According to an embodiment, the step of calculating the at least one deviation value may include a step of calculating the second deviation value by dividing the difference between the minimum value and the median value of the accumulated voltage change amount of each of the plurality of battery units included in each of the plurality of vehicles by the standard deviation of the accumulated voltage change amount of each of the plurality of battery units.

[0023] According to an embodiment, the method may further include a step of calculating a first distribution of the plurality of vehicles based on the first deviation value; and a step of calculating a second distribution of the plurality of vehicles based on the second deviation value.

[0024] According to an embodiment, the step of managing the plurality of battery units may include the step of diagnosing a vehicle in which the deviation value is greater than or equal to a threshold value in a distribution of the at least one deviation value of the plurality of vehicles as an abnormal vehicle including an abnormal battery unit.

[0025] According to an embodiment, the method may further include a step of diagnosing a battery unit having the largest cumulative voltage change among a plurality of battery units included in the above-described vehicle as being in an abnormal capacity state.

[0026] According to an embodiment, the method may further include a step of diagnosing a battery unit having a minimum amount of accumulated voltage change among a plurality of battery units included in the above-described vehicle as having an insulation abnormality.

[0027] According to an embodiment, the voltage information may be a voltage obtained in a charging section of the plurality of battery units.

[0028] The battery diagnostic device and its operating method according to the embodiment disclosed in this document can diagnose an abnormal battery cell based on the voltage change amount of the battery bank.

[0029] The battery diagnostic device and its operating method according to the embodiment disclosed in this document can diagnose the abnormal type of an abnormal battery cell based on the accumulated voltage change amount of a battery bank.

[0030] In addition, various effects may be provided, either directly or indirectly, through this document.

[0031] FIG. 1 is a diagram showing a battery diagnosis system according to one embodiment disclosed in this document.

[0032] FIG. 2 is a drawing showing a battery pack according to one embodiment disclosed in this document.

[0033] FIG. 3 is a block diagram illustrating a configuration of a battery diagnostic device according to one embodiment disclosed in this document.

[0034] FIG. 4 is a graph showing the voltages of battery units according to one embodiment disclosed in this document.

[0035] FIG. 5 is a diagram showing the distribution of deviation values ​​according to one embodiment disclosed in this document.

[0036] FIG. 6 is a flowchart illustrating the operation of a battery diagnostic device according to one embodiment disclosed in this document.

[0037] Figure 7 is a flowchart illustrating the operation of a controller according to one embodiment disclosed in this document.

[0038] FIG. 8 is a block diagram showing the hardware configuration of a computing system that implements an operating method of a battery management device according to one embodiment disclosed in this document.

[0039] Hereinafter, various embodiments of the present invention will be described with reference to the accompanying drawings. However, this is not intended to limit the present invention to specific embodiments, and it should be understood that the present invention encompasses various modifications, equivalents, and / or alternatives of the embodiments.

[0040] The various embodiments and terminology used in this document are not intended to limit the technical features described in this document to specific embodiments, but should be understood to encompass various modifications, equivalents, or alternatives of the embodiments. In connection with the description of the drawings, similar reference numerals may be used to refer to similar or related components. The singular form of a noun corresponding to an item may include one or more of the items, unless the context clearly indicates otherwise.

[0041] In this document, the phrases "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" can each include any one of the items listed together in that phrase, or all possible combinations thereof. Terms such as "first", "second", "first", "second", "A", "B", "(a)", or "(b)" may be used merely to distinguish the corresponding element from other corresponding elements, and do not limit the corresponding elements in any other respect (e.g., importance or order) unless specifically stated otherwise.

[0042] In this document, whenever a component (e.g., a first component) is referred to as being “connected,” “coupled,” or “connected,” with or without the terms “functionally” or “communicatively,” or “coupled” or “connected,” it means that the component can be connected to the other component directly (e.g., wired), wirelessly, or via a third component.

[0043] According to one embodiment, the method according to various embodiments disclosed in this document may be provided as a computer program product. The computer program product may be traded as a commodity between a seller and a buyer. 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 may be distributed online (e.g., downloaded or uploaded) through 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 temporarily stored or temporarily generated in a machine-readable storage medium, such as the memory of a manufacturer's server, an application store's server, or an intermediary server.

[0044] According to various embodiments, each component (e.g., a module or a program) of the above-described components may include one or more entities, and some of the entities may be separated and placed in other components. According to various embodiments, one or more components or operations of the aforementioned components may be omitted, or one or more other components or operations may be added. Alternatively or additionally, a plurality of components (e.g., a module or a program) may be integrated into a single component. In such a case, the integrated component may perform one or more functions of each of the plurality of components identically or similarly to those performed by the corresponding component among the plurality of components prior to the integration. According to various embodiments, the operations performed by a module, program, or other component may be executed sequentially, in parallel, iteratively, or heuristically, or one or more of the operations may be executed in a different order, omitted, or one or more other operations may be added.

[0045] FIG. 1 is a diagram showing a battery diagnostic system according to one embodiment disclosed in this document. FIG. 2 is a diagram showing a battery pack according to one embodiment disclosed in this document.

[0046] Referring to FIG. 1, a battery diagnostic system (1) according to various embodiments may include a plurality of vehicles (10 and 20), battery packs (1000 and 2000) included in each of the plurality of vehicles (10 and 20), and a battery diagnostic device (3000).

[0047] According to an embodiment, each of the plurality of vehicles (10 and 20) may include an electrical, electronic, or mechanical vehicle that operates by receiving power from the battery packs (1000 and 2000), respectively. For example, the plurality of vehicles (10 and 20) may include an electric vehicle (EV) and / or a two-wheeled electric vehicle. Meanwhile, although the plurality of vehicles (10 and 20) are illustrated as two in FIG. 1, this is not limited thereto, and the plurality of vehicles (10 and 20) may be configured to include n vehicles (n is a natural number greater than or equal to 2).

[0048] According to an embodiment, the plurality of vehicles (10 and 20) may be composed of vehicles of the same type. For example, the plurality of vehicles (10 and 20) may be models with the same specifications produced by the same EV manufacturer. When the plurality of vehicles (10 and 20) are vehicles of the same type, the specifications of components included in each of the plurality of vehicles (10 and 20) (e.g., battery packs (1000 and 2000), sensors, motors, acceleration devices, and deceleration devices, etc.) may be similar, and the specifications of the plurality of vehicles (10 and 20) (e.g., charging and discharging mechanisms and fuel consumption, etc.) may be similar. Accordingly, the battery diagnosis device (3000) can obtain consistent information from the plurality of vehicles (10 and 20) and increase the accuracy of battery diagnosis based on the obtained information.

[0049] Battery packs (1000 and 2000) are installed inside the vehicles (10 and 20) and can acquire battery-related information during the charging and discharging or driving state of the vehicles (10 and 20). Battery-related information can include battery voltage information during the charging or discharging period of the vehicles (10 and 20) and battery voltage information during the driving state of the vehicles (10 and 20). A detailed description of the battery packs (1000 and 2000) is provided below with reference to FIG. 2.

[0050] Referring to FIG. 2, a battery pack (1000) may include an upper battery unit (100) and a battery management device (200). The battery pack (1000) may be included in a vehicle (10). For convenience of explanation, FIG. 2 illustrates a battery pack (1000) included in a vehicle (10), but the following description of the battery pack (1000) may also be equally applied to a battery pack (2000) included in a vehicle (20).

[0051] The upper battery unit (100) may include a plurality of battery units (110, 120, …, 130). For example, when the upper battery unit (100) is a battery module, the plurality of battery units (110, 120, …, 130) may be a plurality of battery cells. For example, the plurality of battery units (110, 120, …, 130) may be, but are not limited to, lithium-ion (Li-ion) batteries, lithium-ion polymer (Li-ion polymer) batteries, nickel-cadmium (Ni-Cd) batteries, nickel-metal hydride (Ni-MH) batteries, etc.

[0052] In an embodiment, when the upper battery unit (100) is a battery module, the plurality of battery units (110, 120, ..., 130) may be a plurality of battery banks. The battery bank may be a set of a plurality of battery cells. For example, the battery bank may be a set of battery cells including three battery cells. In an embodiment, the battery pack (1000) may include 98 battery banks.

[0053] Meanwhile, although FIG. 1 illustrates a single upper battery unit (100), this is not a limitation, and the battery pack (1000) may be configured to include n (n is a natural number greater than or equal to 2) upper battery units. In addition, some configurations may be excluded from the battery pack (1000), or other general-purpose configurations may be further included in the battery pack (1000).

[0054] The upper battery unit (100) can supply power to a target device (e.g., a vehicle (10 or 20)). To this end, the upper battery unit (100) can be electrically connected to the target device. Here, the target device can include an electrical, electronic, or mechanical device that operates by receiving power from a battery pack (1000) including the upper battery unit (100). For example, the target device can be, but is not limited to, an electric vehicle (EV) or an energy storage system (ESS).

[0055] The battery management device (200) can manage and / or control the status and / or operation of the upper battery unit (100) and / or each of the plurality of battery units (110, 120, …, 130).

[0056] Hereinafter, for the convenience of describing the operation of the battery management device (200), each of the upper battery unit (100) and / or the plurality of battery units (110, 120, …, 130) is referred to as a battery unit (110), but the same may be applied substantially to other battery units (120, …, and 130) or the upper battery unit (100).

[0057] According to an embodiment, the battery management device (200) can determine the status of the battery unit (110) and manage the status of the battery unit (110) based on the determination. According to an embodiment, the battery management device (200) can control the operation of the battery unit (110) and manage the operation of the battery unit (110) based on the determination.

[0058] According to an embodiment, the battery management device (200) can monitor the voltage, current, and / or temperature of the battery unit (110). In addition, for monitoring, sensors or various measurement modules not shown may be additionally installed at any location, such as the upper battery unit (100), the charging / discharging path, or multiple battery units (110, 120, ..., 130).

[0059] According to an embodiment, the battery management device (200) may calculate battery information regarding the state of the battery unit (110) based on measured values ​​such as monitored voltage, current, and temperature. For example, the battery information regarding the state of the battery unit (110) may include at least one of a State of Charge (SOC), a State of Health (SOH), resistance, a current cycle, a remaining predicted cycle, and a C-rate.

[0060] According to an embodiment, the battery management device (200) may include an On-Board Diagnostic (OBD) device. Such OBD devices may include not only OBD-I, OBD 1.5, and OBD-II, but also various devices that output information related to the status of the battery unit (110) to other devices (e.g., a battery diagnostic device (3000)). In addition, the operation of the battery management device (200) may be performed in various devices such as a BMS (Battery Management System) or a server, cloud, charger, or charger / discharger connected to a vehicle equipped with the battery management device (200).

[0061] According to an embodiment, the battery management device (200) may transmit monitored voltage, current, temperature information and calculated battery information to the battery diagnosis device (3000, see FIG. 1). The voltage, current, temperature information and battery information may each include information about the battery unit (110) for which the information is monitored or calculated. For example, the battery information may include unique identification number information of the battery unit (110).

[0062] Referring back to FIG. 1, the battery diagnostic device (3000) can receive various information acquired through the battery management device (200) and manage the status of the battery unit (110) based on the received information. For example, the battery diagnostic device (3000) can diagnose an abnormal battery unit inside the battery packs (1000 and 2000) included in each of the plurality of vehicles (10 and 20).

[0063] According to various embodiments, battery cell abnormalities may occur due to various causes, such as defects during the battery cell production stage, internal deformation and degeneration through charging and discharging, or external impact. Battery cell abnormalities may include lithium deposition, short circuits, or other abnormalities.

[0064] According to an embodiment, an abnormal state of a battery cell may include two types: a capacity abnormality and an insulation abnormality. For example, a capacity abnormality may result from lithium deposition in a battery cell, and an insulation abnormality may result from an internal short circuit in a battery cell. According to an embodiment, an insulation abnormality may include a short circuit of an electrode within a battery cell or a separator dent phenomenon within a battery cell. Here, when an abnormality occurs in a battery cell, the resistance of the battery cell exhibits a different pattern compared to a normal battery cell, and thus, the voltage change of the abnormal battery cell may exhibit a different pattern compared to the voltage change of the normal battery cell.

[0065] According to an embodiment, the battery diagnosis device (3000) can diagnose an abnormal battery unit based on voltage information of a plurality of battery units (110, 120, ..., 130) acquired in a charge / discharge section. For example, the battery diagnosis device (3000) can diagnose the battery unit (110) as having an abnormal capacity state if the voltage of the battery unit (e.g., 110) changes faster and more significantly than the voltage of a normal battery unit (e.g., 120, ..., 130) in a charge / discharge section. In addition, the battery diagnosis device (3000) can diagnose the battery unit (130) as having an insulation abnormality if the voltage of the battery unit (e.g., 130) changes slower and more significantly than the voltage of a normal battery unit (e.g., 120, ..., 130) in a charge / discharge section.

[0066] The operation of the battery diagnostic device (3000) may be performed in various devices, such as a battery management device (200), a BMS (Battery Management System), or a server, cloud, charger, or charger / discharger connected to a vehicle equipped with the battery management device. Details related to the abnormal diagnosis of the battery unit (110) performed by the battery diagnostic device (3000) according to the embodiment may be described in detail through the drawings below.

[0067] FIG. 3 is a block diagram illustrating a configuration of a battery diagnostic device according to one embodiment disclosed in this document.

[0068] Referring to FIG. 3, the battery diagnostic device (3000) may include a voltage acquisition unit (310) and a controller (320). However, the present invention is not limited thereto, and some components may be omitted from the battery diagnostic device (3000), and other general-purpose components may be further included in the battery diagnostic device (3000).

[0069] The voltage acquisition unit (310) can acquire voltage information of batteries included in each of the plurality of vehicles (10 and 20). According to an embodiment, the voltage acquisition unit (310) can acquire voltage information of each of the upper battery unit (100) and the plurality of battery units (110, 120, ..., 130) included in each of the plurality of vehicles (10 and 20).

[0070] The voltage acquisition unit (310) can acquire voltage information of each of a plurality of battery units (110, 120, ..., 130) measured for a predetermined time period per unit time. According to an embodiment, the voltage acquisition unit (310) can continuously acquire information related to voltage rise and fall in a charging period, a post-charge rest period, a discharging period, and / or a post-discharging rest period of the plurality of battery units (110, 120, ..., 130).

[0071] According to an embodiment, the voltage acquisition unit (310) may acquire voltage information in a charging section of a plurality of vehicles (10 and 20) for a predetermined period of time. For example, the predetermined period of time may include a predetermined period of time such as one week, two weeks, one month, etc. In addition, the predetermined period of time may be determined based on a predetermined number of charging and discharging cycles. For example, the voltage information of the plurality of battery units (110, 120, ..., 130) acquired by the voltage acquisition unit (310) may include charging voltage information having at least five or more charging cycles. If the number of charging cycles is small, the population voltage information for diagnosing the plurality of battery units (110, 120, ..., 130) may not be sufficient. Therefore, the voltage acquisition unit (310) may increase the reliability of diagnosing an abnormal battery unit by acquiring voltage information in a charging section for a predetermined period of time.

[0072] According to an embodiment, the voltage acquisition unit (310) may include a voltage monitoring circuit or sensor.

[0073] The controller (320) can control the operations of the battery diagnosis device (3000). In addition, the controller (320) can manage the status of each of the upper battery unit (100) and the plurality of battery units (110, 120, …, 130). According to an embodiment, the controller (320) can determine whether each of the plurality of battery units (110, 120, …, 130) is abnormal and manage the status based on the voltages of the plurality of battery units (110, 120, …, 130) acquired by the voltage acquisition unit (310).

[0074] According to an embodiment, the controller (320) can diagnose a faulty battery unit based on voltage information in the charge and discharge sections of a plurality of battery units (110, 120, ..., 130). According to an embodiment, the controller (320) can diagnose a vehicle (10) including a faulty battery unit (e.g., 110) as a faulty vehicle.

[0075] According to an embodiment, the controller (320) can diagnose the type of abnormal state of the battery unit (110). For example, the controller (320) can diagnose whether the abnormal battery unit (e.g., 110) is in an abnormal capacity state or an insulation state. Depending on the type of abnormal state of the battery unit (110), the voltage of the battery unit (100) may exhibit different behaviors. Accordingly, the controller (320) can analyze the trend of abnormal values ​​based on voltage information of the plurality of battery units (110, 120, ..., 130) included in each of the plurality of vehicles (10 and 20) to diagnose the type of abnormal state of each of the plurality of battery units (110, 120, ..., 130).

[0076] The controller (320) may have a structure for executing commands that implement the operations of the battery diagnostic device (3000). The controller (320) may be implemented as an array of multiple logic gates for processing various operations or as a general-purpose microprocessor, and may be composed of a single processor or multiple processors. For example, the controller (320) may be implemented in the form of at least one of a microprocessor, a CPU, a GPU, and an AP.

[0077] The controller (320) may be configured separately from or integrally with memory and / or storage configured to temporarily store data or commands, and may process various operations by executing commands stored in the memory and / or storage. The memory and / or storage may store various data, commands, mobile applications, computer programs, etc. For example, the memory and / or storage may be implemented as a non-volatile device such as ROM, PROM, EPROM, EEPROM, flash memory, PRAM, MRAM, RRAM, FRAM, etc., or a volatile device such as DRAM, SRAM, SDRAM, PRAM, RRAM, FeRAM, etc., and may be implemented in the form of an HDD, SSD, SD, Micro-SD, etc., or in the form of a combination thereof.

[0078] The controller (320) can manage each of the plurality of battery units (110, 120, ..., 130) and diagnose the status of each of the plurality of battery units (110, 120, ..., 130) by analyzing the voltage information of the charge / discharge section and / or the rest section. In addition, if it is determined as a result of the diagnosis that there is an abnormality in the battery unit (e.g., 110), the controller (320) can provide information about the abnormal battery unit (e.g., 110) to the user. For example, the controller (320) can provide information about the abnormal battery unit to the user terminal through a communication circuit (not shown) and can also provide information about the abnormal battery unit through a display provided in a vehicle or a charger. Detailed operations of the controller (320) according to an embodiment can be described below with reference to FIG. 4.

[0079] FIG. 4 is a graph showing the voltages of battery units according to one embodiment disclosed in this document.

[0080] Referring to FIG. 4, the controller (320) may acquire time series information on the voltages of each of the plurality of battery units (110, 120, …, 130) based on the voltage information of the plurality of battery units (110, 120, …, 130) acquired from the voltage acquisition unit (310) for each unit time. According to an embodiment, the voltage information of the plurality of battery units (110, 120, …, 130) may be acquired at a predetermined time interval. For example, the voltage information may be a voltage acquired at a charging interval of each of the plurality of battery units (110, 120, …, 130).

[0081] The controller (320) may generate a graph (e.g., voltage graph) representing a change in the voltage of each of the plurality of battery units (110, 120, …, 130) based on the voltage information of each of the plurality of battery units (110, 120, …, 130) for each unit of time. According to an embodiment, the voltage graph may be a graph related to the voltage of each of the plurality of battery units (110, 120, …, 130) with respect to time. For example, the x-axis of the voltage graph may be time (unit: hour), and the y-axis may be voltage (unit: volt).

[0082] The controller (320) can calculate the voltage profile of the first battery unit (A) and the voltage profile of the second battery unit (B) as voltage graphs, respectively. In FIG. 4, only two battery units are illustrated, but this is not limited thereto, and the controller (320) can calculate the voltage graphs based on voltage information of each of the plurality of battery units (110, 120, ..., 130) included in the battery packs (1000 and 2000) included in each of the plurality of vehicles (10 and 20).

[0083] According to an embodiment, the controller (320) may generate a voltage graph based on voltage information obtained in each charging section of a plurality of battery units (110, 120, …, 130). For example, T1 to T2 may refer to a first charging section (T1 to T2) in which a first battery unit (A) and a second battery unit (B) are charged.

[0084] In the charging section, the voltage information of the plurality of battery units (110, 120, …, 130) may include information about a voltage increase when a constant current is applied. In contrast, the voltage information in the driving section or the discharging section may include voltage increase and voltage decrease regions. Therefore, the voltage information in the driving section or the discharging section may not represent the relationship between the applied current and voltage, and may not accurately represent the states of the plurality of battery units (110, 120, …, 130). In another aspect, the voltage information in the charging section may more accurately represent the states of the plurality of battery units (110, 120, …, 130) than the voltage information in the driving section, the discharging section, or the resting section. Therefore, the controller (320) can manage the behavior of the plurality of battery units (110, 120, …, 130) more accurately than data acquired in the driving section, the discharging section, or the resting section by using the voltage acquired in the charging section of each of the plurality of battery units (110, 120, …, 130).

[0085] According to an embodiment, the controller (320) controls the voltage change (V) in the charging section of each of the plurality of battery units (110, 120, …, 130). △ ) can be calculated. Here, the voltage change (V △ ) may mean the degree to which the voltage of each of the plurality of battery units (110, 120, …, 130) increases in one charging section. In another aspect, the amount of voltage change (V) in each of the plurality of battery units (110, 120, …, 130) in the charging section △ ) may mean the difference between the charge end voltage (V2) of the charge section and the charge start voltage (V1) of the charge section. According to an embodiment, the controller (320) may determine the voltage change amount (V) of each of the plurality of battery units (110, 120, …, 130) in the charge section through the following <Mathematical Formula 1> △ ) can be produced.

[0086] <Mathematical Formula 1>

[0087] V △1 (k)=V2(k)-V1(k)

[0088] In <Mathematical Formula 1>, k represents any kth battery unit (k), and V △1 (k) may refer to the voltage change amount of the battery unit (k) in the first charging section, V1(k) may refer to the charge start voltage of the first charging section of the battery unit (k), and V2(k) may refer to the charge end voltage of the first charging section of the battery unit (k). For example, the voltage change amount (V) of the first battery unit (A) in the first charging section (T1~T2) △1 (A)) may mean the difference between the charge end voltage (V2(A)) of the first charge section and the charge start voltage (V1(A)) of the first charge section (V △1 (A)=V2(A)-V1(A)).

[0089] According to an embodiment, the controller (320) controls the voltage change (V) of each of the plurality of battery units (110, 120, …, 130). △ ) based on the accumulated voltage change amount (V) of each of the plurality of battery units (110, 120, …, 130) △tot ) can be calculated. Here, the cumulative voltage change (V) of the kth battery unit (k) △tot (k)) is the voltage change amount (V) of the battery unit (k) obtained in multiple charging sections. △1 (k), V △2 (k), … , V △3 (k)) can mean the sum of the voltages. In another aspect, the cumulative voltage change amount (V) of each of the plurality of battery units (110, 120, …, 130) △tot ) is the first voltage change (V) obtained in the first charging section, the second charging section, …, and the third charging section, respectively. △1 ), second voltage change (V △2 ), … , the third voltage change (V △3) may include an accumulated value. According to an embodiment, the controller (320) may include an accumulated voltage change amount (V) based on voltage information of each of a plurality of battery units (110, 120, …, 130) obtained in five or more charging sections. △tot ) can be calculated.

[0090] According to the embodiment, the controller (320) calculates the cumulative voltage change (V) of each of the plurality of battery units (110, 120, …, 130) in the charging section through the following <Mathematical Formula 2> △tot ) can be produced.

[0091] <Mathematical Formula 2>

[0092] V △tot (k)=V △1 (k)+V △2 (k)+…+V △3 (k)

[0093] In <Mathematical Formula 2>, k represents the kth battery unit (k), and V △tot (k) is the cumulative voltage change of the battery unit (k) over multiple charging periods, V △1 (k) is the voltage change of the battery unit (k) in the first charging section, V △2 (k) is the voltage change of the battery unit (k) in the second charging section, V △3 (k) may refer to the voltage change amount of the battery unit (k) in the third charging section. For example, the cumulative voltage change amount (V) of the first battery unit (A) in five charging sections △tot (A)) is the voltage change (V) in the first charging section △1 (A)), voltage change in the second charging section (V △2 (A)), voltage change in the third charging section (V △3 (A)), voltage change in the 4th charging section (V △4 (A)) and voltage change in the 5th charging section (V △5 (A)) can mean the sum of (V) △tot (A)=V △1 (A)+V△2 (A)+V △3 (A)+V △4 (A)+V △5 (A)).

[0094] According to the embodiment, the voltage change (V) of the first battery unit (A) in the first charging section △1 (A)) and the voltage change (V) of the second battery unit (B) △1 (B)) Difference (V) △1 (A)- V △1 (B)) can be very small. In contrast, the cumulative voltage change (V) of the first battery unit (A) calculated over multiple charging periods △tot (A)) and the cumulative voltage change (V) of the second battery unit (B) △tot (B)) Difference (V) △tot (A)-V △tot (B)) is the difference in voltage change (V △1 (A)- V △1 (B)) can have a larger value than that of the battery unit (110, 120, …, 130). Therefore, the controller (320) can calculate the accumulated voltage change amount (V) of each of the plurality of battery units (110, 120, …, 130) in the plurality of charging sections. △tot (k)) can be used to more reliably analyze voltage changes and accurately diagnose abnormal battery units.

[0095] According to an embodiment, the voltage change amount (V) over time of each of the plurality of battery units (110, 120, …, 130) △ ) or cumulative voltage change (V △tot) may include resistance information. Here, factors affecting the resistance of the battery cell may include cases where a battery cell defect such as lithium deposition, open circuit, or short circuit occurs. For example, an abnormal state of the battery cell may include two types: a capacity abnormality and an insulation abnormality. The capacity abnormality may be caused by lithium deposition of the battery cell, and the insulation abnormality may be caused by an internal short circuit of the battery cell. According to an embodiment, the insulation abnormality may include a state where an electrode inside the battery cell is shorted or a separator is stamped inside the battery cell. Here, when an abnormality occurs in the battery cell, the resistance of the battery cell shows a different pattern compared to a normal battery cell, so the voltage change of the abnormal battery cell may appear in a different pattern compared to the voltage change of the normal battery cell. Therefore, the controller (320) may calculate the accumulated voltage change amount (V) of each of the plurality of battery units (110, 120, ..., 130) in a plurality of time intervals. △tot ) and manage each of the plurality of battery units (110, 120, …, 130) based on the calculated accumulated voltage changes. Hereinafter, the controller (320) calculates the accumulated voltage changes (V) of each of the plurality of battery units (110, 120, …, 130). △tot ) is described, and an operation of calculating a deviation value (D) between multiple battery units (110, 120, …, 130) and calculating a distribution (P) of the deviation values ​​is described.

[0096] FIG. 5 is a diagram showing the distribution of deviation values ​​according to one embodiment disclosed in this document.

[0097] Referring to FIG. 5, the controller (320) accumulates voltage changes (V) for each of the plurality of vehicles (10 and 20). △tot (A), V △tot (B), … , V △tot(k)) can be calculated. Here, the deviation value (D) is the accumulated voltage change amount (V) of multiple battery units (110, 120, …, 130) included in a single vehicle (10). △tot (A), V △tot (B), … , V △tot (k)) may mean the degree to which it is deviated from the median. According to an embodiment, the controller (320) may calculate a deviation value (D) for each single vehicle (10 or 20). Through this, the controller (320) may detect an outlier among the plurality of battery units (110, 120, …, 130) included in a single vehicle (10 or 20).

[0098] According to an embodiment, the controller (320) can calculate at least one deviation value (D) for each of the plurality of vehicles (10 and 20). Here, the at least one deviation value (D) can include a first deviation value (D1) and a second deviation value (D2). For example, the controller (320) can calculate the first deviation value (D1) and the second deviation value (D2) of the vehicle (10), and can calculate the first deviation value (D1) and the second deviation value (D2) of the vehicle (20).

[0099] Below, the operation of the controller (320) calculating the deviation value between the accumulated voltage changes based on the vehicle (10) is described, but it is not limited thereto, and the same method can be applied to the operation of the controller (320) calculating the deviation value of the vehicle (20).

[0100] According to an embodiment, the controller (320) may calculate a first deviation value (D1) of the vehicle (10) based on the cumulative voltage change amount of a battery unit having the largest cumulative voltage change amount among the plurality of battery units (110, 120, ..., 130) included in the vehicle (10). In addition, the controller (320) may calculate a second deviation value (D2) of the vehicle (10) based on the cumulative voltage change amount of a battery unit having the smallest cumulative voltage change amount among the plurality of battery units (110, 120, ..., 130) included in the vehicle (10). Through this, the controller (320) may diagnose a battery unit having the largest or smallest cumulative voltage change amount among the plurality of battery units (110, 120, ..., 130) included in the vehicle (10) based on at least one of the first deviation value (D1) and the second deviation value (D2).

[0101] According to an embodiment, the controller (320) calculates the cumulative voltage change (V) of each of the plurality of battery units (110, 120, …, 130) included in the vehicle (10). △tot ) is the difference between the maximum and median values ​​of each of the battery units (110, 120, …, 130) and the accumulated voltage change (V △tot ) can be divided by the standard deviation of the first deviation value (D1). According to an embodiment, the controller (320) calculates the accumulated voltage change amount (V) of each of the plurality of battery units (110, 120, …, 130) included in the vehicle (10). △tot ) is the difference between the minimum and median values ​​of each of the battery units (110, 120, …, 130) and the accumulated voltage change (V △tot ) can be divided by the standard deviation to calculate the second deviation value (D2). Accordingly, the controller (320) can detect an outlier based on the first deviation value (D1) and the second deviation value (D2), and diagnose an abnormal battery unit among the plurality of battery units (110, 120, …, 130).

[0102] According to an embodiment, the controller (320) can calculate a first deviation value (D1) based on <Mathematical Formula 3> and can calculate a second deviation value (D2) based on <Mathematical Formula 4>.

[0103] <Mathematical Formula 3>

[0104] D1=(V △tot (Max)- V △tot (Med)) / (Std(V △tot ))

[0105] <Mathematical Formula 4>

[0106] D2=(V △tot (Med)- V △tot (Min)) / (Std(V △tot ))

[0107] In <Mathematical Formula 3> and <Mathematical Formula 4>, D1 represents the first deviation value, D2 represents the second deviation value, and V △tot (Max) is the maximum value of the accumulated voltage change, V △tot (Min) is the minimum value of accumulated voltage change, V △tot (Med) is the median of the accumulated voltage change, and Std(V △tot ) may mean the standard deviation of the accumulated voltage change amount. Here, the controller (320) calculates the first deviation value (D1) and the second deviation value (D2) based on a single vehicle (e.g., 10), so the maximum value (V) of the accumulated voltage change amount is calculated based on the accumulated voltage change amount of the multiple battery units (110, 120, …, 130) included in the single vehicle (e.g., 10). △tot (Max)), minimum value of accumulated voltage change (V △tot (Min)), median of accumulated voltage change (V △tot (Med)), and the standard deviation of the cumulative voltage change (Std(V △tot )) can all be produced.

[0108] The cumulative voltage change (V) of most battery units △tot ) is the median (V) for all battery units. △tot(Med)) will not be significantly different, and the voltage change amount of some defective battery units may show a large deviation. Therefore, the controller (320) can diagnose a defective battery unit among the plurality of battery units (110, 120, ..., 130) based on the first deviation value (D1) and the second deviation value (D2).

[0109] According to an embodiment, the controller (320) can manage the plurality of battery units (110, 120, ..., 130) based on a distribution (P) of at least one deviation value (D) of the plurality of vehicles (10 and 20). Here, the distribution (P) of the deviation values ​​(D) of the plurality of vehicles (10 and 20) can mean a distribution of deviation values ​​calculated for each of the plurality of vehicles (10 and 20). For example, the distribution (P) of the deviation values ​​of the plurality of vehicles (10 and 20) can mean a degree of dispersion of the deviation values ​​(D) of the vehicle (10), ..., and the deviation values ​​(D) of the vehicle (20).

[0110] According to an embodiment, the controller (320) can calculate a distribution (P) of deviation values ​​of a plurality of vehicles (10 and 20) based on any statistical analysis method. Here, the statistical analysis method may include an analysis method using a standard normal distribution and an IQR (Interquartile Range) analysis method. Here, the IQR (Interquartile Range) analysis method may refer to an interquartile range analysis method. The interquartile range may refer to the middle 50% range of the entire data, that is, the range (25% to 75%) between the first and third quartiles of the data. The controller (320) can calculate the degree to which the deviation values ​​of the plurality of vehicles (10 and 20) are distributed through various statistical analysis methods, and can detect outliers.

[0111] The deviation values ​​of the plurality of vehicles (10 and 20) will not differ greatly from the average value for all vehicles, and the deviation value of the vehicle (10) including the defective battery unit (e.g., 110) may exhibit a large deviation. Therefore, the controller (320) can diagnose the vehicle (10) including the defective battery unit (e.g., 110) by detecting an outlier in the distribution (P) of the deviation values. Accordingly, the controller (320) can diagnose both the vehicle including the defective battery unit and the defective battery unit based on the distribution (P) of the deviation values ​​of the plurality of vehicles (10 and 20).

[0112] According to an embodiment, the distribution (P) of at least one deviation value of the plurality of vehicles (10 and 20) may include a first distribution (P1) and a second distribution (P2). Here, the first distribution (P1) may be a distribution regarding a first deviation value (D1) of each of the plurality of vehicles (10 and 20), and the second distribution (P2) may be a distribution regarding a second deviation value (D2) of each of the plurality of vehicles (10 and 20). For example, the controller (320) may calculate the first distribution (P1) of the plurality of vehicles (10 and 20) based on the first deviation values ​​(D1) of the plurality of vehicles (10 and 20). In addition, the controller (320) may calculate the second distribution (P2) of the plurality of vehicles (10 and 20) based on the second deviation values ​​(D2) of the plurality of vehicles (10 and 20).

[0113] According to an embodiment, the controller (320) can diagnose an abnormal vehicle and an abnormal battery unit based on a distribution (P) of deviation values ​​of a plurality of vehicles (10 and 20). Here, an abnormal vehicle may refer to a vehicle including an abnormal battery unit. According to an embodiment, the controller (320) can diagnose a vehicle in which the deviation value in the distribution (P) of at least one deviation value of a plurality of vehicles (10 and 20) is greater than or equal to a threshold value (TH) as an abnormal vehicle. The threshold value (TH) may be a reference value for detecting an abnormal value in the distribution (P) of deviation values.

[0114] According to an embodiment, the controller (320) may determine a threshold value (TH) using an IQR (Interquartile Range) analysis method. According to an embodiment, the controller (320) may determine an IQR outlier (i.e., a value greater than 1.5 times the interquartile range) in a distribution (P) of deviation values ​​of a plurality of vehicles (10 and 20) as the threshold value (TH).

[0115] According to an embodiment, the controller (320) may determine a first threshold value (TH1) in a first distribution (P1) and a second threshold value (TH2) in a second distribution (P2). For example, the threshold value (TH) may be different in the first distribution (P1) and the second distribution (P2).

[0116] Accordingly, the controller (320) can diagnose a vehicle having a deviation value greater than or equal to a threshold value (TH) in a distribution (P) of at least one deviation value of a plurality of vehicles (10 and 20) as an abnormal vehicle including an abnormal battery unit. For example, when a first deviation value (D1) of a vehicle (10) in a first distribution (P1) is greater than or equal to a first threshold value (TH1), the controller (320) can diagnose the vehicle (10) as an abnormal vehicle. In addition, when a second deviation value (D2) of a vehicle (10) in a second distribution (P2) is greater than or equal to a second threshold value (TH2), the controller (320) can diagnose the vehicle (10) as an abnormal vehicle.

[0117] According to an embodiment, the controller (320) can diagnose a battery unit (e.g., 110) corresponding to an outlier of the first distribution (P1) as being in an abnormal capacity state. For example, the controller (320) can diagnose a battery unit (e.g., 110) having the largest cumulative voltage change amount among a plurality of battery units (110, 120, ..., 130) included in an abnormal vehicle (10) as being in an abnormal capacity state. The cumulative voltage change amount of the battery unit (e.g., 110) having the abnormal capacity can have a larger value than the cumulative voltage change amount of the normal battery units (e.g., 120, ..., 130). Therefore, the controller (320) can diagnose the battery unit (110) having the largest cumulative voltage change amount as being in an abnormal capacity state.

[0118] According to an embodiment, the controller (320) can diagnose a battery unit (e.g., 130) corresponding to an outlier of the second distribution (P2) as having an insulation abnormality. For example, the controller (320) can diagnose a battery unit (e.g., 130) having a minimum amount of accumulated voltage change among a plurality of battery units (110, 120, ..., 130) included in an abnormal vehicle (10) as having an insulation abnormality. The amount of accumulated voltage change of the battery unit (e.g., 130) having an insulation abnormality can have a smaller value than the amount of accumulated voltage change of the normal battery units (e.g., 110, ..., 120). Therefore, the controller (320) can diagnose the battery unit (130) having a minimum amount of accumulated voltage change as having an insulation abnormality.

[0119] FIG. 6 is a flowchart illustrating the operation of a battery diagnostic device according to one embodiment disclosed in this document.

[0120] Referring to FIG. 6, the battery diagnostic device (3000) acquires voltage information of each of the plurality of battery units (110, 120, …, 130) included in each of the plurality of vehicles (10 and 20) in the voltage acquisition unit (310) (S101), and the controller (320) acquires the accumulated voltage change amount (V) of each of the plurality of battery units (110, 120, …, 130) based on the voltage information. △tot ) is calculated (S102), and the accumulated voltage changes (V) are calculated for each of the plurality of vehicles (10 and 20). △tot ) and a step (S104) of managing the plurality of battery units (110, 120, ..., 130) based on the distribution (P) of the at least one deviation value (D) of the plurality of vehicles (10 and 20).

[0121] In step S101, the voltage acquisition unit (310) can acquire voltage information of each of the plurality of battery units (110, 120, …, 130) included in each of the plurality of vehicles (10 and 20) (S101).

[0122] At step S102, the controller (320) calculates the cumulative voltage change amount (V) of each of the plurality of battery units (110, 120, …, 130) based on the voltage information. △tot ) can be calculated (S102). According to an embodiment, the controller (320) calculates the voltage change amount (V) of each of the plurality of battery units (110, 120, …, 130) based on the voltage information. △ ) and the voltage change (V △ ) based on the accumulated voltage change (V △tot ) can be produced.

[0123] At step S103, the controller (320) calculates the accumulated voltage changes (V) for each of the plurality of vehicles (10 and 20). △tot ) can be used to calculate at least one deviation value (D) between the two (S103).

[0124] At step S104, the controller (320) can manage the plurality of battery units (110, 120, …, 130) based on the distribution (P) of at least one deviation value (D) of the plurality of vehicles (10 and 20) (S104).

[0125] Figure 7 is a flowchart illustrating the operation of a controller according to one embodiment disclosed in this document.

[0126] Referring to FIG. 7, the controller (320) calculates the accumulated voltage change (V) of each of the plurality of battery units (110, 120, …, 130). △tot ) is calculated (S201), and the accumulated voltage changes (V) are calculated for each of the plurality of vehicles (10 and 20). △tot ) may include a step (S202) of calculating a first deviation value (D1) between the plurality of vehicles (10 and 20), a step (S204) of calculating a first distribution (P1) of a plurality of vehicles (10 and 20) based on the first deviation value (D1), a step (S206) of diagnosing an abnormal vehicle (10) based on the first distribution (P1), and a step (S208) of diagnosing a battery unit (110) having the largest cumulative voltage change amount among a plurality of battery units (110, 120, ..., 130) included in the abnormal vehicle (10) as being in an abnormal capacity state.

[0127] Also, referring to FIG. 7, the controller (320) calculates the cumulative voltage change (V) of each of the plurality of battery units (110, 120, …, 130). △tot ) is calculated (S201), and the accumulated voltage changes (V) are calculated for each of the plurality of vehicles (10 and 20). △tot) may include a step (S203) of calculating a second deviation value (D2) which is a deviation between the first and second vehicle groups, a step (S205) of calculating a second distribution (P2) of a plurality of vehicles (10 and 20) based on the second deviation value (D2), a step (S207) of diagnosing an abnormal vehicle (10) based on the second distribution (P2), and a step (S209) of diagnosing a battery unit (130) having a minimum amount of accumulated voltage change among a plurality of battery units (110, 120, ..., 130) included in the abnormal vehicle (10) as having an insulation abnormality.

[0128] At step S201, the controller (320) calculates the accumulated voltage change (V) of each of the plurality of battery units (110, 120, …, 130). △tot ) can be calculated (S201). According to an embodiment, the controller (320) calculates the accumulated voltage change amount (V) of each of the plurality of battery units (110, 120, …, 130) based on the voltage information of each of the plurality of battery units (110, 120, …, 130) included in each of the plurality of vehicles (10 and 20). △tot ) can be produced.

[0129] In steps S202 and S203, the controller (320) calculates the accumulated voltage changes (V) for each of the plurality of vehicles (10 and 20). △tot ) can be calculated as a first deviation value (D1) or a second deviation value (D2) (S202, S203).

[0130] In steps S204 and S205, the controller (320) can calculate a first distribution (P1) of the plurality of vehicles (10 and 20) based on the first deviation value (D1) (S204). In addition, the controller (320) can calculate a second distribution (P2) of the plurality of vehicles (10 and 20) based on the second deviation value (D2) (S205).

[0131] In steps S206 and S207, the controller (320) can diagnose an abnormal vehicle (10) based on a first distribution (P1) or a second distribution (P2) of a plurality of vehicles (10 and 20) (S206, S207).

[0132] In steps S208 and S209, the controller (320) can diagnose the battery unit (110) with the largest accumulated voltage change among the plurality of battery units (110, 120, ..., 130) included in the abnormal vehicle (10) as being in an abnormal capacity state, and can diagnose the battery unit (130) with the smallest accumulated voltage change as being in an insulation abnormal state (S208, S209).

[0133] FIG. 8 is a block diagram showing the hardware configuration of a computing system that implements an operating method of a battery management device according to one embodiment disclosed in this document.

[0134] Referring to FIG. 8, a computing system (4000) of a battery diagnosis device (3000) according to one embodiment disclosed in the present document may include an MCU (4100), a memory (4200), an input / output I / F (4300), and a communication I / F (4400). However, this is merely exemplary, and various embodiments are not limited thereto. For example, at least one of the components of the battery diagnosis device (3000) described above may be omitted, or one or more other components (e.g., an input device, at least one sensor, a power management device, etc.) may be added to the configuration of the battery diagnosis device (3000). In addition, at least one of the components described above may be integrated with another component.

[0135] The MCU (4100) may be a processor that executes various programs (e.g., a battery voltage analysis program) stored in the memory (4200), processes various data from these programs, and performs the functions of the battery diagnosis device (3000) shown in FIG. 1 described above.

[0136] According to an embodiment, the MCU (4100) can control at least one other component (e.g., memory (4200), input / output I / F (4300) and communication I / F (4400)) of the battery diagnostic device (3000) and perform various information processing or operations.

[0137] According to an embodiment, the MCU (4100) can execute software stored in the memory (4200) to control at least one other component (e.g., hardware or software component) of the battery diagnostic device (3000) connected to the MCU (4100) and perform operations of the battery diagnostic device (3000).

[0138] The memory (4200) can store various programs related to the operation of the battery diagnostic device (3000). In addition, the memory (4200) can store operation data of the battery diagnostic device (3000).

[0139] According to an embodiment, the memory (4200) can store information obtained from the communication I / F (4400). For example, the memory (4200) can store voltage information obtained in the charging and discharging sections of a plurality of battery units (110, 120, ..., 130). According to an embodiment, the memory (4200) can store one or more programs used in the mathematical or logical operation process of the battery diagnosis device (3000). For example, the memory (4200) can include a program related to an IQR (Interquartile Range) analysis method or a statistical data analysis method.

[0140] A plurality of such memories (4200) may be provided as needed. The memories (4200) may be volatile or non-volatile memories. As volatile memories (4200), RAM, DRAM, SRAM, etc. may be used. As non-volatile memories (4200), ROM, PROM, EAROM, EPROM, EEPROM, flash memory, etc. may be used. The examples of the memories (4200) listed above are merely examples and are not limited to these examples.

[0141] The input / output I / F (4300) can provide an interface that enables data transmission and reception between an input device (not shown) such as a keyboard, mouse, or touch panel, and an output device (not shown) such as a display and an MCU (4100).

[0142] The communication I / F (4400) can establish a wired communication channel and / or a wireless communication channel between the battery diagnosis device (3000) and another device, and transmit and receive information through the established communication channel. According to an embodiment, the communication I / F (4400) can receive information from a communication module (not shown) included in the battery management device (200). For example, the communication I / F (4400) of the battery diagnosis device (3000) can receive information related to the battery unit (110). Here, the information related to the battery unit (110) can include at least one of unique identification number information, type information, usage cycle information, voltage information, current information, temperature information, resistance information, charge depth information, SOC information, and C-rate information of the battery unit (110).

[0143] According to an embodiment, the connection between the communication I / F (4400) of the battery diagnosis device (3000) and the communication module (not shown) of the battery management device (200) may be a communication connection via a wired and / or wireless network. In one embodiment, the wired network may be based on LAN (local area network) communication or power line communication. In one embodiment, the wireless network may be based on a short-range communication network (e.g., Bluetooth, WiFi (wireless fidelity) or IrDA (infrared data association)) or a long-range communication network (cellular network, 4G network, 5G network).

[0144] According to an embodiment, the connection between the communication I / F (4400) of the battery diagnosis device (3000) and the communication module (not shown) of the battery management device (200) may be a connection through a device-to-device communication method (e.g., bus, GPIO (general purpose input and output), SPI (serial peripheral interface), or MIPI (mobile industry processor interface)).

[0145] Although all components constituting the embodiments disclosed in this document have been described as being combined or operating in combination as one, the embodiments disclosed in this document are not necessarily limited to such embodiments. That is, within the scope of the purpose of the embodiments disclosed in this document, all of the components may be selectively combined and operated one or more times.

[0146] In addition, terms such as "include," "comprise," or "have" described above, unless specifically stated otherwise, mean that the corresponding component can be included, and therefore should be interpreted to include other components rather than excluding other components. 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 in this document belong, unless otherwise defined. Commonly used terms, such as terms defined in a dictionary, should be interpreted to be consistent with the contextual meaning of the relevant technology, and shall not be interpreted in an idealized or overly formal sense, unless explicitly defined in this document.

[0147] The foregoing disclosure outlines features of several embodiments to enable those skilled in the art to better understand the aspects of the present disclosure. Those skilled in the art will readily appreciate that the present disclosure can be readily used as a basis for designing or modifying other structures to achieve the same purposes or advantages of the embodiments introduced herein. Furthermore, those skilled in the art will recognize that such equivalent structures do not depart from the scope of the present disclosure, and that various changes, substitutions, and modifications can be made herein without departing from the scope of the present disclosure.

Claims

1. A voltage acquisition unit that acquires voltage information of each of a plurality of battery units included in each of a plurality of vehicles; and Based on the voltage information, the cumulative voltage change amount of each of the plurality of battery units is calculated, For each of the plurality of vehicles, at least one deviation value is calculated, which is a deviation between the accumulated voltage changes, A battery diagnostic device including a controller that manages the plurality of battery units based on the distribution of at least one deviation value of the plurality of vehicles.

2. In claim 1, A battery diagnostic device, wherein the at least one deviation value of each of the plurality of vehicles includes at least one of a first deviation value and a second deviation value.

3. In claim 2, The above controller, A battery diagnostic device that calculates the first deviation value by dividing the difference between the maximum value and the median value of the accumulated voltage change amount of each of the plurality of battery units included in each of the plurality of vehicles by the standard deviation of the accumulated voltage change amount of each of the plurality of battery units.

4. In claim 2, The above controller, A battery diagnostic device that calculates the second deviation value by dividing the difference between the minimum value and the median value of the accumulated voltage change amount of each of the plurality of battery units included in each of the plurality of vehicles by the standard deviation of the accumulated voltage change amount of each of the plurality of battery units.

5. In claim 2, The above controller, Calculate the first distribution of the plurality of vehicles based on the first deviation value, A battery diagnostic device that calculates a second distribution of the plurality of vehicles based on the second deviation value.

6. In claim 1, The above controller, A battery diagnostic device that diagnoses a vehicle in which the deviation value is greater than a threshold value in the distribution of at least one deviation value of the plurality of vehicles as an abnormal vehicle including an abnormal battery unit.

7. In claim 6, The above controller, A battery diagnostic device that diagnoses a battery unit with the largest cumulative voltage change among multiple battery units included in the above-described vehicle as being in an abnormal capacity state.

8. In claim 6, The above controller, A battery diagnostic device that diagnoses a battery unit with the smallest accumulated voltage change among multiple battery units included in the above-described vehicle as having an insulation abnormality.

9. In claim 1, A battery diagnostic device wherein the voltage information is a voltage obtained in the charging section of the plurality of battery units.

10. A step of obtaining voltage information of each of a plurality of battery units included in each of a plurality of vehicles; A step of calculating the cumulative voltage change amount of each of the plurality of battery units based on the voltage information; A step of calculating at least one deviation value, which is a deviation between the accumulated voltage changes for each of the plurality of vehicles; and A battery diagnosis method comprising a step of managing the plurality of battery units based on a distribution of the at least one deviation value of the plurality of vehicles.

11. In claim 10, A battery diagnosis method, wherein the at least one deviation value of each of the plurality of vehicles includes at least one of a first deviation value and a second deviation value.

12. In claim 11, The step of calculating at least one deviation value is: A battery diagnosis method comprising a step of calculating the first deviation value by dividing the difference between the maximum value and the median value of the cumulative voltage change amount of each of the plurality of battery units included in each of the plurality of vehicles by the standard deviation of the cumulative voltage change amount of each of the plurality of battery units.

13. In claim 11, The step of calculating at least one deviation value is: A battery diagnosis method comprising a step of calculating the second deviation value by dividing the difference between the minimum value and the median value of the accumulated voltage change amount of each of the plurality of battery units included in each of the plurality of vehicles by the standard deviation of the accumulated voltage change amount of each of the plurality of battery units.

14. In claim 11, A step of calculating a first distribution of the plurality of vehicles based on the first deviation value; and A battery diagnosis method further comprising a step of calculating a second distribution of the plurality of vehicles based on the second deviation value.

15. In claim 10, The step of managing the above plurality of battery units is: A battery diagnosis method comprising a step of diagnosing a vehicle in which the deviation value is greater than or equal to a threshold value in a distribution of at least one deviation value of the plurality of vehicles as an abnormal vehicle including an abnormal battery unit.

16. In claim 15, A battery diagnosis method further comprising a step of diagnosing a battery unit having the largest cumulative voltage change among a plurality of battery units included in the above-described vehicle as being in an abnormal capacity state.

17. In claim 15, A battery diagnosis method further comprising a step of diagnosing a battery unit having the smallest accumulated voltage change among a plurality of battery units included in the above-described vehicle as having an insulation abnormality.

18. In claim 10, A battery diagnosis method wherein the voltage information is a voltage obtained in the charging section of the plurality of battery units.

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