Battery diagnosis device and battery diagnosis method

Abstract

A battery diagnosis device according to an embodiment disclosed in the present document comprises: an interface for acquiring a capacity profile indicating a relationship between a voltage and a capacity of a battery cell; and at least one processor, wherein the at least one processor is configured to: obtain, by using the capacity profile, a positive electrode capacity profile related to a positive electrode of the battery cell and a negative electrode capacity profile related to a negative electrode of the battery cell; and identify, on the basis of at least one of the capacity profile, the positive electrode capacity profile, the negative electrode capacity profile, or any combination thereof, at least one of a first peak value indicating a phase equilibrium related to the negative electrode, a second peak value indicating a phase transition related to the negative electrode, a third peak value indicating a phase equilibrium of the positive electrode and the phase equilibrium of the negative electrode, or any combination thereof.

Description

Battery diagnostic device and battery diagnostic method

[0001] Cross-citation with related applications

[0002] The present invention claims the benefit of priority based on Korean Patent Application No. 10-2024-0159019 filed on November 11, 2024, Korean Patent Application No. 10-2024-0159020 filed on November 11, 2024, Korean Patent Application No. 10-2024-0159017 filed on November 11, 2024, and Korean Patent Application No. 10-2025-0158931 filed on October 29, 2025, and includes all contents disclosed in the documents of said Korean patent applications as part of this specification.

[0003] Technology field

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

[0005] In order to identify low voltage defects in battery cells caused by phenomena such as damage to the separator within the battery cell, metal foreign matter within the battery cell, external short circuit, or insufficient wetting, a natural discharge test (e.g., a process for identifying low voltage battery cells based on a reference voltage drop rate (mV / day)) is used during the battery cell manufacturing process. However, the process of identifying low voltage defects in battery cells using a natural discharge test has the problem of requiring a relatively long time (e.g., about 4 to 10 days). Therefore, there is a need to diagnose low voltage defects in battery cells through a process of activating the battery cell.

[0006] One objective of the embodiments disclosed in this document is to provide a battery diagnostic device and a battery diagnostic method for diagnosing a low voltage state of a battery cell using the capacity profile of the battery cell.

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

[0008] A battery diagnostic device according to one embodiment disclosed in this document includes: an interface for obtaining a capacity profile representing the relationship between the voltage and capacity of a battery cell; and at least one processor, wherein the at least one processor is configured to obtain a positive capacity profile associated with the positive electrode of the battery cell and a negative capacity profile associated with the negative electrode of the battery cell using the capacity profile, and to identify a first peak value representing a phase equilibrium associated with the negative electrode, a second peak value representing a phase transition associated with the negative electrode, a third peak value representing the phase equilibrium of the positive electrode and the phase equilibrium of the negative electrode, or at least one combination thereof, based on at least one of the capacity profile, the positive capacity profile, the negative capacity profile, or any combination thereof.

[0009] For example, the at least one processor may be configured to identify a first differential capacity value corresponding to the first peak value in the cathode capacity profile based on identifying the first peak value, and to diagnose the state of the battery cell as a low voltage state based on the difference between the first differential capacity value and the first reference capacity value associated with the cathode of the battery cell based on the normal state.

[0010] For example, the at least one processor may be configured to identify a second differential capacity value corresponding to the first peak value in the positive capacity profile, and to diagnose the state of the battery cell as a low voltage state by using the difference between the second differential capacity value and the second reference capacity value associated with the positive of the battery cell based on the normal state, and the difference between the first reference capacity value and the first differential capacity value.

[0011] For example, the at least one processor may be configured to identify a third derivative capacity value corresponding to the second peak value in the cathode capacity profile based on identifying the second peak value, and to diagnose the state of the battery cell as a low voltage state based on the difference between the first reference capacity value associated with the cathode of the battery cell based on the normal state and the third derivative capacity value.

[0012] For example, the at least one processor may be configured to identify a fourth derivative capacity value corresponding to the second peak value in the positive capacity profile, and to diagnose the state of the battery cell as a low voltage state using the difference between the fourth derivative capacity value and a second reference capacity value related to the positive of the battery cell based on a normal state, and the difference between the first reference capacity value and the third derivative capacity value.

[0013] For example, the at least one processor may be configured to identify the third peak value within a specified voltage range of the capacity profile and to diagnose the state of the battery cell based on the peak value.

[0014] For example, the at least one processor may be configured to identify a fifth derivative capacity value corresponding to the third peak value in the cathode capacity profile, identify a sixth derivative capacity value corresponding to the third peak value in the anode capacity profile, and diagnose the state of the battery cell as a low voltage state based on at least one of the fifth derivative capacity value, the sixth derivative capacity value, or any combination thereof.

[0015] A battery diagnostic method according to one embodiment disclosed in this document may include: an operation of obtaining a positive capacity profile associated with the positive electrode of the battery cell and a negative capacity profile associated with the negative electrode of the battery cell using a capacity profile representing the relationship between the voltage and capacity of the battery cell; and an operation of identifying, based on at least one of the capacity profile, the positive capacity profile, the negative capacity profile, or any combination thereof, a first peak value representing a phase equilibrium associated with the negative electrode, a second peak value representing a phase transition associated with the negative electrode, a third peak value representing the phase equilibrium of the positive electrode and the phase equilibrium of the negative electrode, or at least one combination thereof.

[0016] For example, the battery diagnostic method may further include an operation of identifying a first differential capacity value corresponding to the first peak value in the negative electrode capacity profile based on identifying the first peak value, and an operation of diagnosing the state of the battery cell as a low voltage state based on the difference between the first reference capacity value associated with the negative electrode of the battery cell based on a normal state and the first differential capacity value.

[0017] For example, the operation of diagnosing the state of the battery cell as a low voltage state may include the operation of identifying a second differential capacity value corresponding to the first peak value in the positive capacity profile, and the operation of diagnosing the state of the battery cell as a low voltage state by using the difference between the second reference capacity value and the second differential capacity value related to the positive of the battery cell based on the normal state, and the difference between the first reference capacity value and the first differential capacity value.

[0018] For example, the battery diagnostic method may include an operation of identifying a third derivative capacity value corresponding to the second peak value in the negative electrode capacity profile based on identifying the second peak value, and an operation of diagnosing the state of the battery cell as a low voltage state based on the difference between the first reference capacity value and the third derivative capacity value associated with the negative electrode of the battery cell based on a normal state.

[0019] For example, the operation of diagnosing the state of the battery cell as a low voltage state may include the operation of identifying a fourth derivative capacity value corresponding to the second peak value in the positive capacity profile, the difference between the fourth derivative capacity value and a second reference capacity value related to the positive of the battery cell based on a normal state, and the difference between the first reference capacity value and the third derivative capacity value, thereby diagnosing the state of the battery cell as a low voltage state.

[0020] For example, the battery diagnostic method may include an operation of identifying the third peak value within a specified voltage range of the capacity profile, and an operation of diagnosing the state of the battery cell based on the peak value.

[0021] For example, the operation of diagnosing the state of the battery cell may include the operation of identifying a fifth derivative capacity value corresponding to the third peak value in the negative capacity profile, the operation of identifying a sixth derivative capacity value corresponding to the third peak value in the positive capacity profile, and the operation of diagnosing the state of the battery cell as a low voltage state based on at least one of the fifth derivative capacity value, the sixth derivative capacity value, or any combination thereof.

[0022] A medium according to one embodiment disclosed in this document may include a computer-readable medium storing a program for executing a battery diagnostic method on a computer, the medium comprising: an operation of obtaining a positive capacity profile associated with the positive electrode of the battery cell and a negative capacity profile associated with the negative electrode of the battery cell using a capacity profile representing a relationship between the voltage and capacity of the battery cell; and an operation of identifying, based on at least one of the capacity profile, the positive capacity profile, the negative capacity profile, or any combination thereof, a first peak value representing a phase equilibrium associated with the negative electrode, a second peak value representing a phase transition associated with the negative electrode, a third peak value representing the phase equilibrium of the positive electrode and the phase equilibrium of the negative electrode, or at least one combination thereof.

[0023] The battery diagnostic device and battery diagnostic method disclosed in this document can diagnose the low voltage state of a battery cell using the capacity profile of the battery cell.

[0024] In addition, various effects that can be identified directly or indirectly through this document may be provided.

[0025] FIG. 1 is a block diagram showing a battery pack according to one embodiment disclosed in this document.

[0026] FIG. 2 is a block diagram showing the configuration of a battery diagnostic device according to one embodiment disclosed in this document.

[0027] FIG. 3 illustrates an example of a flowchart showing the operation performed by a battery diagnostic device according to an embodiment disclosed in this document.

[0028] FIG. 4 illustrates an example of a flowchart showing the operation performed by a battery diagnostic device according to an embodiment disclosed in this document.

[0029] FIG. 5 illustrates an example of a graph showing a capacity profile obtained by a battery diagnostic device according to an embodiment disclosed in this document.

[0030] FIG. 6 illustrates an example of a flowchart showing the operation performed by a battery diagnostic device according to an embodiment disclosed in this document.

[0031] FIG. 7 illustrates an example of a graph showing a capacity profile obtained by a battery diagnostic device according to an embodiment disclosed in this document.

[0032] FIG. 8 illustrates an example of a flowchart showing the operation performed by a battery diagnostic device according to an embodiment disclosed in this document.

[0033] FIG. 9 illustrates an example of a graph showing a capacity profile obtained by a battery diagnostic device according to an embodiment disclosed in this document.

[0034] FIG. 10 illustrates an example of a flowchart showing the operation performed by a battery diagnostic device according to an embodiment disclosed in this document.

[0035] FIG. 11 illustrates an example of a graph showing parameters related to the capacity of a battery cell obtained by a battery diagnostic device according to an embodiment disclosed in this document.

[0036] FIG. 12 shows a computing system that executes a battery diagnostic method according to one embodiment disclosed in this document.

[0037] Some embodiments disclosed herein are described below with reference to the various embodiments of the accompanying drawings. However, this is not intended to limit the technology to specific embodiments and should be understood to include various modifications, equivalents, and / or alternatives to embodiments of the technology.

[0038] It should be noted that when assigning reference numerals to the components of each drawing, the same components are assigned the same reference numeral whenever possible, even if they are shown in different drawings. Furthermore, in describing the various embodiments disclosed in this document, if it is determined that a detailed description of related known configurations or functions would hinder understanding of the embodiments of the present invention, such detailed description is omitted. The singular form of a noun corresponding to an item may include one or more items unless the relevant context clearly indicates otherwise.

[0039] In describing the components of the embodiments of this document, terms such as first, second, A, B, (a), (b), etc., may be used. These terms are intended merely to distinguish the components from other components and do not limit the essence, order, or sequence of the components. Furthermore, unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as generally understood by those skilled in the art to which the embodiments disclosed in this document pertain. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology, and should not be interpreted in an ideal or overly formal sense unless explicitly defined in this application.

[0040] Additionally, in this disclosure, expressions of "greater than" or "less than" may be used to determine whether a specific condition is satisfied or fulfilled; however, this is merely for the purpose of expressing an example and does not exclude descriptions of "greater than" or "less than." Conditions described as "greater than" may be replaced with "greater than," conditions described as "less than" may be replaced with "less than," and conditions described as "greater than and less than" may be replaced with "greater than and less than." Furthermore, "A" to "B" below refer to at least one of the elements from A (including A) to B (including B).

[0041] In this document, each of the phrases such as "A or B", "at least one of A and B", "at least one of A or B", "A, B or C", "at least one of A, B and C", and "at least one of A, B, or C" may include any one of the items listed together in the corresponding phrase, or all possible combinations thereof.

[0042] In this document, where any component (e.g., 1) is referred to as being “connected,” “coupled,” or “joined” to another component (e.g., 2), with or without the terms “functionally” or “communicationally,” or where it is referred to as “coupled” or “connected,” it means that the component may be connected to the other component directly (e.g., via a wire), wirelessly, or through a third component.

[0043] As used in one embodiment of this document, the term “module” may include a unit implemented in hardware, software, or firmware, and may be used interchangeably with terms such as logic, logic block, component, or circuit, for example. A module may be a component formed integrally, or a minimum unit of said component or a part thereof that performs one or more functions. For example, according to one embodiment, a module may be implemented in the form of an application-specific integrated circuit (ASIC).

[0044] One embodiment of this document may be implemented as software (e.g., a program) comprising one or more instructions stored on a storage medium readable by a machine. For example, the processor of the machine may call at least one of the one or more instructions stored from the storage medium and execute it. This enables the machine to operate to perform at least one function according to the at least one called instruction. The one or more instructions may include code generated by a compiler or code that can be executed by an interpreter. The storage medium readable by a machine may be provided in the form of a non-transitory storage medium. Here, "non-transitory" simply means that the storage medium is a tangible device and does not contain a signal, and this term does not distinguish between cases where data is stored semi-permanently and cases where it is stored temporarily in the storage medium.

[0045] According to one embodiment, the method according to the various embodiments disclosed herein may be provided as included in a computer program product. The computer program product may be traded between a seller and a buyer as a product. The computer program product may be distributed in the form of a device-readable storage medium (e.g., compact disc read-only memory (CD-ROM)), or distributed online (e.g., download or upload) 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 created on a device-readable storage medium, such as the memory of a manufacturer's server, an application store's server, or a relay server.

[0046] According to various embodiments, each component (e.g., module or program) of the described components may include a singular or multiple entities, and some of the multiple entities may be separated and placed 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. Generally or additionally, multiple components (e.g., module or program) 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 they were performed by the corresponding component among the multiple components prior to integration.

[0047] According to various embodiments, 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.

[0048]

[0049] FIG. 1 is a block diagram showing a battery pack according to one embodiment disclosed in this document.

[0050] Referring to FIG. 1, a battery control system including a battery pack (1) and a higher controller (2) included in a higher system according to one embodiment disclosed in this document is schematically shown.

[0051] As illustrated in FIG. 1, the battery pack (1) may include a plurality of battery cells (11) (or one or more battery cells), a switching unit (14) connected in series to the first terminal side and / or second terminal side of the plurality of battery cells (11) to control the flow of charging and discharging current of the plurality of battery cells (11), and a battery management system (20) that monitors the voltage, current, temperature, etc. of the battery pack (1) to prevent overcharging and over-discharging.

[0052] In this case, the battery pack (1) may be equipped with a plurality of battery cells (11), a sensor (12), a switching unit (14), and / or a battery management system (20). For example, the first terminal may be the (+) terminal of the plurality of battery cells (11), and the second terminal may be the (-) terminal.

[0053] Here, the switching unit (14) is a device for controlling the current flow for charging or discharging a plurality of battery cells (11), and, for example, depending on the specifications of the battery pack (1), at least one relay, magnetic contactor, etc. may be used. For example, the plurality of battery cells may include pouch-type battery cells and cylindrical battery cells. For example, the battery cells may include lithium-ion batteries (LIB).

[0054] The battery management system (20) is an interface that receives values ​​of various parameters measured above, and may include a plurality of terminals and a circuit connected to these terminals to perform processing of the received values. Additionally, the battery management system (20) may control the ON / OFF of a switching unit (14), such as a relay or contactor, and may be connected to a battery cell (11) to monitor the status of each of the plurality of battery cells (11).

[0055] The upper controller (2) can transmit control signals for a plurality of battery cells (11) to the battery management system (20). Accordingly, the operation of the battery management system (20) can be controlled based on the signals applied from the upper controller (2).

[0056] According to an embodiment, the battery management system (20) may include the battery diagnostic device (100) of FIG. 2. According to another embodiment, the battery management system (20) may be a different system from the battery diagnostic device (100) of FIG. 2. That is, the battery diagnostic device (100) of FIG. 2 may be included in the battery pack (1) or may be composed of another device outside the battery pack (1). For convenience of explanation, the description is based on the premise that the battery diagnostic device (100) is composed of another device outside the battery pack (1).

[0057]

[0058] FIG. 2 is a block diagram showing the configuration of a battery diagnostic device according to one embodiment disclosed in this document.

[0059] A battery diagnostic device (100) according to one embodiment may include at least one of a processor (110), a memory (120), or an interface (130). The processor (110), the memory (120), and the interface (130) may be electrically and / or operably coupled with each other by an electronic component including a communication bus. Hereinafter, operably coupled hardware may mean that a direct connection or an indirect connection between the hardware is established via wired or wireless means so that a second hardware is controlled by a first hardware among the hardware. Although illustrated based on different blocks, the embodiment is not limited thereto, and some of the hardware of FIG. 2 (e.g., at least a portion of the processor (110), the memory (120), and the communication circuit (not shown)) may be included in a single integrated circuit, such as a system on a chip (SoC). Communication methods between components may include buses, GPIO (general purpose input and output), SPI (serial peripheral interface), MIPI (mobile industry processor interface), etc.

[0060] A processor (110) of a battery diagnostic device (100) according to one embodiment may include a hardware component for processing data based on one or more instructions. The hardware component for processing data may include, for example, an arithmetic and logic unit (ALU), a floating point unit (FPU), a field programmable gate array (FPGA), a central processing unit (CPU), a microcontroller unit (MCU), and / or an application processor (AP). The number of processors (110) may be one or more. For example, the processor (110) may have the structure of a multi-core processor including a dual core, a quad core, a hexa core, or an octa core.

[0061] A memory (120) of a battery diagnostic device (100) according to one embodiment may include a hardware component for storing data and / or instructions that are input and / or output to a processor (110). The memory (120) may include, for example, volatile memory such as RAM (random-access memory) and / or non-volatile memory such as ROM (read-only memory). For example, the volatile memory may include at least one of DRAM (dynamic RAM), SRAM (static RAM), Cache RAM, and PSRAM (pseudo SRAM). For example, the non-volatile memory may include at least one of PROM (programmable ROM), EPROM (erasable PROM), EEPROM (electrically erasable PROM), flash memory, hard disk, compact disk, and eMMC (embedded multi-media card). For example, the memory (120) may be configured to store a capacity profile indicating the capacity for the voltage of the battery cell.

[0062] An interface (130) of a battery diagnostic device (100) according to one embodiment may be configured to generate various battery measurement values ​​from the battery. To this end, the interface (130) may include a measurement means such as a voltmeter, ammeter, thermometer, and a communication circuit for establishing a communication link with an external device.

[0063] A battery diagnostic device (100) according to one embodiment can obtain a capacity profile representing the relationship between the voltage and capacity of a battery cell by using an interface (130). The capacity profile may be referred to as a full-cell profile in terms of including data for the entire battery cell, including the positive and negative electrodes. For example, the capacity profile may include a differential capacity profile (e.g., a dQ / dV profile) representing the change in capacity with respect to the change in voltage of the battery cell.

[0064] A battery diagnostic device (100) according to one embodiment can obtain a capacity profile while charging or discharging a battery cell during an activation charge / discharge formation process among the processes for manufacturing a battery cell. For example, during the activation charge / discharge process, a solid electrolyte interphase layer (SEI) of the electrolyte within the battery cell may be formed. The processes for manufacturing a battery cell may include an electrode process and / or an assembly process.

[0065] A battery diagnostic device (100) according to one embodiment can obtain a positive capacity profile related to the positive electrode of a battery cell and a negative capacity profile related to the negative electrode of a battery cell using a capacity profile. The positive capacity profile and the negative capacity profile may be referred to as half-cell data in terms of being related to one electrode of the battery cell.

[0066] For example, the battery diagnostic device (100) can obtain a positive capacity profile and a negative capacity profile by applying an algorithm (e.g., differential analysis) for obtaining half cell data from full cell data to the capacity profile.

[0067] For example, the battery diagnostic device (100) can further obtain parameters related to positive capacity based on obtaining a positive capacity profile and a negative capacity profile.

[0068] A battery diagnostic device (100) according to one embodiment can identify at least one peak value based on at least one of a capacity profile, a positive capacity profile, a negative capacity profile, or any combination thereof. For example, the peak value may include a point where the slope of the capacity profile becomes zero.

[0069] For example, a battery diagnostic device (100) can diagnose the state of a battery cell based on a positive capacity profile and / or a negative capacity profile according to a state corresponding to a peak value (e.g., phase transition or phase equilibrium).

[0070] A battery diagnostic device (100) according to one embodiment can identify a peak value representing a phase equilibrium associated with the cathode based on at least one of a capacity profile, an anode capacity profile, a cathode capacity profile, or any combination thereof. The peak value representing a phase equilibrium associated with the cathode may be generated by a staging reaction of the cathode. The staging reaction of the cathode may represent a stepwise reaction that occurs when lithium ions are inserted into or extracted from a material having a layered structure, such as graphite, in a lithium-ion battery. The peak value representing a phase equilibrium associated with the cathode may correspond to the first peak among a plurality of peaks included in the capacity profile or the cathode capacity profile.

[0071] A battery diagnostic device (100) according to one embodiment can identify a first differential capacity value corresponding to a peak value in a negative electrode capacity profile based on identifying a peak value representing a phase equilibrium related to the negative electrode.

[0072] A battery diagnostic device (100) according to one embodiment can diagnose the state of a battery cell based on the difference between a first reference capacity value and a first differential capacity value related to the battery cell based on a normal state. The normal state may represent a state different from a low voltage state.

[0073] For example, if the difference between the first reference capacity value and the first derivative capacity value exceeds a threshold value, the battery diagnostic device (100) can diagnose the state of the battery cell as a low voltage state.

[0074] For example, a battery diagnostic device (100) can identify a first reference capacity value from preset data including data of a battery cell based on a normal state. The first reference capacity value may include a value corresponding to a peak value representing a phase equilibrium associated with the negative electrode in the negative electrode capacity profile of the battery cell based on a normal state.

[0075] A battery diagnostic device (100) according to one embodiment can identify a second differential capacity value corresponding to a peak value representing a phase equilibrium related to the negative electrode in a positive capacity profile.

[0076] For example, the battery diagnostic device (100) can identify a second reference capacity value from preset data including data of a battery cell based on a normal state.

[0077] For example, the second reference capacity value may include a value corresponding to the peak value in the positive capacity profile of the battery cell based on the normal state.

[0078] For example, the battery diagnostic device (100) can diagnose the condition of the battery cell based on the difference between the second reference capacity value and the second derivative capacity value.

[0079] For example, a battery diagnostic device (100) can diagnose the condition of a battery cell using the difference between a second reference capacity value and a second derivative capacity value and the difference between a first reference capacity value and a first derivative capacity value.

[0080] For example, the battery diagnostic device (100) can diagnose the state of the battery cell as a low voltage state when the difference between the second reference capacity value and the second derivative capacity value, and / or the difference between the first reference capacity value and the first derivative capacity value, exceeds a threshold value.

[0081] For example, a low voltage condition may include a condition related to damage to the separator in the battery cell, ingress of foreign matter into the battery cell, external short circuit of the battery cell, reduction of resistance in the battery cell, or at least one combination thereof.

[0082] A battery diagnostic device (100) according to one embodiment can identify peak values ​​indicating the phase equilibrium of the positive electrode and the phase equilibrium of the negative electrode in a specified voltage range of a capacity profile (e.g., a range between about 3.6 V and about 3.8 V). For example, the battery diagnostic device (100) can diagnose the condition of the battery cell based on the peak values.

[0083] A battery diagnostic device (100) according to one embodiment can identify a first differential capacity value corresponding to a peak value in a negative capacity profile. A battery diagnostic device (100) according to one embodiment can identify a second differential capacity value corresponding to a peak value in a positive capacity profile.

[0084] A battery diagnostic device (100) according to one embodiment can diagnose the state of a battery cell as a low voltage state based on at least one of a first differential capacity value, a second differential capacity value, or any combination thereof.

[0085] A battery diagnostic device (100) according to one embodiment can identify a first reference capacity value related to the negative electrode of a battery cell based on a normal state and a second reference capacity value related to the weak electrode of a battery cell based on a normal state. For example, the battery diagnostic device (100) can diagnose the state of the battery cell as a low voltage state based on the difference between the first reference capacity value and the first differential capacity value and / or the difference between the second reference capacity value and the second differential capacity value.

[0086] For example, the battery diagnostic device (100) can diagnose the state of the battery cell as a low voltage state when at least one of the difference between the first reference capacity value and the first derivative capacity value and / or the difference between the second reference capacity value and the second derivative capacity value exceeds a threshold value.

[0087] A battery diagnostic device (100) according to one embodiment can identify a peak value indicating a phase transition associated with the negative electrode based on at least one of a capacity profile, a positive electrode capacity profile, a negative electrode capacity profile, or any combination thereof. For example, the battery diagnostic device (100) can diagnose the condition of a battery cell based on a peak value indicating a phase transition associated with the negative electrode.

[0088] A battery diagnostic device (100) according to one embodiment can identify a first differential capacity value corresponding to a peak value in a negative electrode capacity profile based on identifying a peak value. For example, the battery diagnostic device (100) can diagnose the state of a battery cell as a low voltage state based on the difference between a first reference capacity value and a first differential capacity value associated with the negative electrode of a battery cell based on a normal state.

[0089] For example, if the difference between the first reference capacity value and the first derivative capacity value exceeds a threshold value, the battery diagnostic device (100) can diagnose the state of the battery cell as a low voltage state.

[0090] For example, if the difference between the first reference capacity value and the first derivative capacity value is less than the threshold value, the battery diagnostic device (100) can diagnose the state of the battery cell as normal.

[0091] A battery diagnostic device (100) according to one embodiment can identify a second differential capacity value corresponding to a peak value in an anode capacity profile. For example, the battery diagnostic device (100) can diagnose the state of the battery cell as a low voltage state by using the second differential capacity value and the difference between the second reference capacity value and the second differential capacity value related to the battery cell negative electrode based on a normal state, and / or the difference between the first reference capacity value and the first differential capacity value. For example, the state of the battery cell can be diagnosed as a low voltage state if at least one of the second differential capacity value and the difference between the second reference capacity value and the second differential capacity value related to the battery cell negative electrode based on a normal state, and / or the difference between the first reference capacity value and the first differential capacity value exceeds a threshold value.

[0092] A battery diagnostic device (100) according to one embodiment can identify a parameter representing the relationship between the charging capacity of a battery cell and the discharging capacity of a battery cell based on at least one of a capacity profile, a positive capacity profile, or any combination thereof. For example, the battery diagnostic device (100) can diagnose the state of a battery cell using the parameter. For example, the battery diagnostic device (100) can diagnose the state of a battery cell as a low voltage state by comparing the parameter with a preset value. For example, the battery diagnostic device (100) can diagnose the state of a battery cell as a low voltage state if the parameter is smaller than the preset value.

[0093] A battery diagnostic device (100) according to one embodiment can identify a first sub-parameter representing the charging capacity of a battery cell relative to a reference charging capacity.

[0094] For example, the reference charge capacity may represent the positive charge capacity identified while charging a battery cell in a normal state.

[0095] A battery diagnostic device (100) according to one embodiment can identify a second sub-parameter representing the discharge capacity of a battery cell relative to a reference discharge capacity.

[0096] For example, the reference discharge capacity may represent the positive discharge capacity identified while discharging a battery cell in a normal state.

[0097] For example, a battery diagnostic device (100) can identify a parameter using a first sub-parameter and a second sub-parameter. The parameter may represent a second sub-parameter for a first sub-parameter.

[0098] A battery diagnostic device (100) according to one embodiment as described above can diagnose the condition of a battery cell using a capacity profile obtained while charging or discharging a battery cell during an activation charge / discharge process. For example, the battery diagnostic device (100) can diagnose the condition of a battery cell using a differential capacity value corresponding to the peak value of each positive capacity profile and negative capacity profile obtained based on the capacity profile. For example, by diagnosing the condition of a battery cell during an activation charge / discharge process, the battery diagnostic device (100) can reduce the process time for manufacturing a battery cell. For example, by diagnosing the condition of a battery cell during an activation charge / discharge process, the battery diagnostic device (100) can prevent leakage of low-voltage battery cells or enhance the quality (or safety) of the battery cell.

[0099]

[0100] FIG. 3 illustrates an example of a flowchart showing operations performed by a battery diagnostic device according to an embodiment disclosed in this document. It is assumed that the battery diagnostic device (100) of FIG. 2 performs the process of FIG. 3. Additionally, the operations described as being performed by the device can be understood as being controlled by the processor (110) of the battery diagnostic device (100). Each of the operations of FIG. 3 may be performed sequentially, but is not necessarily performed sequentially. For example, the order of each of the operations may be changed, and at least two operations may be performed in parallel. Furthermore, the operation of the battery diagnostic device (100) may be performed by a battery management system (BMS) in a vehicle, as well as by various devices such as a server, cloud, charger, or charge / discharger.

[0101] In operation S310, a battery diagnostic device according to one embodiment can obtain a positive capacity profile associated with the positive electrode of a battery cell and a negative capacity profile associated with the negative electrode of a battery cell by using a capacity profile. For example, the capacity profile may include a differential capacity profile representing the change in capacity of the battery cell with respect to the change in voltage of the battery cell.

[0102] In operation S320, a battery diagnostic device according to one embodiment can identify a peak value based on at least one of a capacity profile, a positive capacity profile, a negative capacity profile, or any combination thereof.

[0103] For example, the peak value may represent an anode phase transition, an anode phase equilibrium, a cathode phase transition, and / or a cathode phase equilibrium. For example, depending on the position of the peak corresponding to the peak value included in the capacitance profile, the peak value may be associated with at least one of an anode phase transition, an anode phase equilibrium, a cathode phase transition, and / or a cathode phase equilibrium. The position of the peak may be distinguished according to voltage.

[0104] In operation S330, a battery diagnostic device according to one embodiment can diagnose the condition of the battery using a differential capacity value corresponding to a peak value.

[0105] For example, a battery diagnostic device can identify a differential capacity value corresponding to a peak value in a positive capacity profile or a negative capacity profile based on the identification of a peak value. For example, the battery diagnostic device can diagnose the condition of a battery cell by comparing the differential capacity value with a threshold value.

[0106] A battery diagnostic device according to one embodiment may perform at least one of operations S310 to S330 in an activation charge / discharge process for manufacturing a battery cell. By diagnosing the state of the battery cell in the activation charge / discharge process, the battery diagnostic device can reduce the time required to manufacture the battery cell.

[0107]

[0108] FIG. 4 illustrates an example of a flowchart showing operations performed by a battery diagnostic device according to an embodiment disclosed in this document. FIG. 5 illustrates an example of a graph showing a capacity profile obtained by a battery diagnostic device according to an embodiment disclosed in this document. It is assumed that the battery diagnostic device (100) of FIG. 2 performs the process of FIG. 4. Additionally, the operations described as being performed by the device can be understood as being controlled by the processor (110) of the battery diagnostic device (100). Each of the operations of FIG. 4 may be performed sequentially, but is not necessarily performed sequentially. For example, the order of each of the operations may be changed, and at least two operations may be performed in parallel. Furthermore, the operations of the battery diagnostic device (100) may be performed by a Battery Management System (BMS) in a vehicle, as well as by various devices such as a server, cloud, charger, or charge / discharger. At least one of the operations of FIG. 4 may be related to at least one of the operations of FIG. 3. The battery diagnostic device (100) of FIG. 5 can be referenced to the battery diagnostic device (100) of FIG. 2.

[0109] Referring to FIG. 4, in operation S410, a battery diagnostic device according to one embodiment can obtain a positive capacity profile associated with the positive electrode of a battery cell and a negative capacity profile associated with the negative electrode of a battery cell by using a capacity profile. Operation S410 can be referenced to operation S310 of FIG. 3.

[0110] Referring to FIG. 5, a capacity profile (500), a positive capacity profile (510), and a negative capacity profile (520) representing a change in capacity with respect to the voltage of a battery cell are shown.

[0111] A battery diagnostic device (100) according to one embodiment can obtain a capacity profile (500), a positive capacity profile (510), and / or a negative capacity profile (520). The battery diagnostic device (100) can obtain the capacity profile (500), the positive capacity profile (510), and / or a negative capacity profile (520) based on charging or discharging a battery cell in an active charge / discharge process.

[0112] Referring to FIG. 4, in S420, a battery diagnostic device according to one embodiment can identify a peak value representing phase equilibrium associated with the negative electrode based on at least one of a capacity profile, a positive capacity profile, a negative capacity profile, or any combination thereof. Operation S420 may be referenced to operation S320 of FIG. 3.

[0113] Referring to FIG. 5, a battery diagnostic device (100) according to one embodiment can identify a peak value (501) representing a phase equilibrium associated with the negative electrode. For example, the peak value (501) representing a phase equilibrium associated with the negative electrode may correspond to the first peak among a plurality of peaks included in the negative electrode capacity profile (520) (or capacity profile (500)). In terms of the peak value corresponding to the first peak, the phase equilibrium associated with the negative electrode may include a low-potential phase equilibrium section.

[0114] Referring to FIG. 4, in operation S430, a battery diagnostic device according to one embodiment can diagnose the state of the battery using a differential capacity value corresponding to a peak value. Operation S430 can be referenced to operation S330 of FIG. 3.

[0115] Referring to FIG. 5, a battery diagnostic device (100) according to one embodiment can identify a voltage value (502) corresponding to a peak value (501) in a capacity profile (500).

[0116] For example, the battery diagnostic device (100) can identify differential capacity values ​​(511, 521) corresponding to a peak value (501) in the positive capacity profile (510) and / or negative capacity profile (520).

[0117] In one embodiment, the battery diagnostic device (100) can identify a first differential capacity value (521) corresponding to a peak value (501) in the negative electrode capacity profile (520). For example, the battery diagnostic device (100) can diagnose the state of the battery cell based on the difference between a first reference capacity value and a first differential capacity value (521) associated with the negative electrode of the battery cell based on a normal state. For example, the battery diagnostic device (100) can diagnose the state of the battery cell as a low voltage state if the difference between the first reference capacity value and the first differential capacity value (521) exceeds a threshold value.

[0118] In one embodiment, the battery diagnostic device (100) can identify a second differential capacity value (511) corresponding to a peak value (501) in the positive capacity profile (510). The battery diagnostic device (100) can diagnose the state of the battery cell by using the difference between the second reference capacity value and the second differential capacity value (511) related to the positive electrode of the battery cell based on a normal state. For example, if the difference between the second reference capacity value and the second differential capacity value (511) exceeds a threshold value, the state of the battery cell can be diagnosed as a low voltage state.

[0119] In one embodiment, the battery diagnostic device (100) can identify a differential capacity value by selecting at least one of the negative capacity profile (520) and the positive capacity profile (510) according to the position of the peak value (501). For example, the battery diagnostic device (100) can identify that the peak value (501) indicates a phase equilibrium related to the negative electrode according to the position of the peak value (501). Based on identifying that the peak value (501) indicates a phase equilibrium related to the negative electrode, the battery diagnostic device (100) can diagnose the state of the battery cell using the first differential capacity value (521) of the negative capacity profile (520) among the negative capacity profile (520) and the positive capacity profile (510). However, it is not limited thereto.

[0120]

[0121] FIG. 6 illustrates an example of a flowchart showing operations performed by a battery diagnostic device according to an embodiment disclosed in this document. FIG. 7 illustrates an example of a graph showing a capacity profile obtained by a battery diagnostic device according to an embodiment disclosed in this document. It is assumed that the battery diagnostic device (100) of FIG. 2 performs the process of FIG. 6. Additionally, the operations described as being performed by the device can be understood as being controlled by the processor (110) of the battery diagnostic device (100). Each of the operations of FIG. 6 may be performed sequentially, but is not necessarily performed sequentially. For example, the order of each of the operations may be changed, and at least two operations may be performed in parallel. Furthermore, the operations of the battery diagnostic device (100) may be performed by a Battery Management System (BMS) in a vehicle, as well as by various devices such as a server, cloud, charger, or charge / discharger. The battery diagnostic device (100) of FIG. 7 may be referenced to the battery diagnostic device (100) of FIG. 2.

[0122] Referring to FIG. 6, in operation S610, a battery diagnostic device according to one embodiment can obtain a positive capacity profile associated with the positive electrode of a battery cell and a negative capacity profile associated with the negative electrode of a battery cell by using a capacity profile. Operation S610 may be referenced to operation S310 of FIG. 3.

[0123] Referring to FIG. 7, a capacity profile (700), a positive capacity profile (710), and a negative capacity profile (720) representing the change in capacity with respect to the voltage of the battery cell are shown.

[0124] A battery diagnostic device (100) according to one embodiment may obtain a capacity profile (700), a positive capacity profile (710), and / or a negative capacity profile (721). The capacity profile (700) may be referenced to the capacity profile (500) of FIG. 5. The positive capacity profile (710) may be referenced to the positive capacity profile (510) of FIG. 5. The negative capacity profile (720) may be referenced to the negative capacity profile (520) of FIG. 5.

[0125] Referring to FIG. 6, in operation S620, a battery diagnostic device according to one embodiment can identify peak values ​​indicating the phase equilibrium of the positive electrode and the phase equilibrium of the negative electrode in a specified voltage range of the capacity profile. Operation S620 can be referenced to operation S320 of FIG. 3.

[0126] Referring to FIG. 7, in one embodiment, the battery diagnostic device (100) can identify a peak value (701) in a specified voltage range (702) of the capacity profile (700) (e.g., a range between about 3.6 V and about 3.8 V). The battery diagnostic device (100) can set the specified voltage range (702). The specified voltage range (702) may include a range after the peak value (701) of FIG. 5, depending on the voltage. The peak value (701) may indicate the phase equilibrium of the positive electrode and the phase equilibrium of the negative electrode.

[0127] Referring to FIG. 6, in operation S630, a battery diagnostic device according to one embodiment can diagnose the state of a battery cell using a differential capacity value corresponding to a peak value. Operation S630 can be referenced to operation S330 of FIG. 3.

[0128] Referring to FIG. 7, a battery diagnostic device (100) according to one embodiment can diagnose the condition of a battery cell using differential capacity values ​​(711, 721) corresponding to a peak value (701).

[0129] For example, the battery diagnostic device (100) can identify a voltage value (703) corresponding to a peak value (701) in the capacity profile (700).

[0130] For example, the battery diagnostic device (100) can identify a first differential capacity value (721) corresponding to a voltage value (703) in the negative capacity profile (720).

[0131] For example, the battery diagnostic device (100) can identify a second differential capacity value (711) corresponding to a voltage value (703) in the positive capacity profile (710).

[0132] For example, the battery diagnostic device (100) can diagnose the state of the battery cell as a low voltage state based on the first differential capacity value (721) and / or the second differential capacity value (711).

[0133] In one embodiment, the battery diagnostic device (100) can identify a first reference capacity value related to the negative electrode of a battery cell based on a normal state and a second reference capacity value related to the positive electrode of a battery cell based on a normal state.

[0134] For example, the battery diagnostic device (100) can diagnose the state of the battery cell as a low voltage state based on the difference between the first reference capacity value and the first derivative capacity value (721), and / or the difference between the second reference capacity value and the second derivative capacity value (711). For example, if at least one of the difference between the first reference capacity value and the first derivative capacity value (721), and / or the difference between the second reference capacity value and the second derivative capacity value (711) exceeds a threshold value, the battery diagnostic device (100) can diagnose the state of the battery cell as a low voltage state. At least one of operations S610 to S630 of FIG. 6 can be performed in an active charge-discharge process for manufacturing the battery cell.

[0135]

[0136] FIG. 8 illustrates an example of a flowchart showing operations performed by a battery diagnostic device according to an embodiment disclosed in this document. FIG. 9 illustrates an example of a graph showing a capacity profile obtained by a battery diagnostic device according to an embodiment disclosed in this document. It is assumed that the battery diagnostic device (100) of FIG. 2 performs the process of FIG. 8. Additionally, the operations described as being performed by the device can be understood as being controlled by the processor (110) of the battery diagnostic device (100). Each of the operations of FIG. 8 may be performed sequentially, but is not necessarily performed sequentially. For example, the order of each of the operations may be changed, and at least two operations may be performed in parallel. Furthermore, the operations of the battery diagnostic device (100) may be performed by a Battery Management System (BMS) in a vehicle, as well as by various devices such as a server, cloud, charger, or charge / discharger. The battery diagnostic device (100) of FIG. 9 may be referenced to the battery diagnostic device (100) of FIG. 2.

[0137] Referring to FIG. 8, in operation S810, a battery diagnostic device according to one embodiment can obtain a positive capacity profile associated with the positive electrode of a battery cell and a negative capacity profile associated with the negative electrode of a battery cell by using a capacity profile. Operation S810 may be referenced to operation S310 of FIG. 3.

[0138] Referring to FIG. 9, a capacity profile (900) representing a change in capacity with respect to the voltage of a battery cell, a positive capacity profile (910) associated with the positive electrode of the battery cell, and a negative capacity profile (920) associated with the negative electrode of the battery cell are shown. The capacity profile (900) can be referenced to the capacity profile (500) of FIG. 5. The positive capacity profile (910) can be referenced to the positive capacity profile (510) of FIG. 5. The negative capacity profile (920) can be referenced to the negative capacity profile (520) of FIG. 5.

[0139] Referring to FIG. 8, in operation S820, a battery diagnostic device according to one embodiment can identify a peak value indicating a phase transition associated with the negative electrode based on at least one of a capacity profile, a positive capacity profile, a negative capacity profile, or any combination thereof. Operation S820 may be referenced to operation S320 of FIG. 3.

[0140] Referring to FIG. 9, a battery diagnostic device (100) according to one embodiment can obtain a capacity profile (900), a positive capacity profile (810), and / or a negative capacity profile (920). The battery diagnostic device (100) can identify a peak value (901) in the capacity profile (900) that indicates a phase transition associated with the negative electrode.

[0141] Referring to FIG. 8, in operation S830, a battery diagnostic device according to one embodiment can diagnose the state of a battery cell using a differential capacity value corresponding to a peak value. Operation S830 can be referenced to operation S330 of FIG. 3.

[0142] Referring to FIG. 9, a battery diagnostic device (100) according to one embodiment can identify a voltage value (902) corresponding to a peak value (901). Based on identifying the peak value, the battery diagnostic device (100) can identify a first differential capacity value (921) corresponding to the peak value (901) in a negative capacity profile (920). The first differential capacity value (921) corresponding to the peak value (901) can correspond to a voltage value (902) corresponding to the peak value (901).

[0143] A battery diagnostic device (100) according to one embodiment can diagnose the state of a battery cell as a low voltage state based on the difference between a first reference capacity value and a first differential capacity value (921) related to the negative electrode of a battery cell based on a normal state. For example, if the difference between the first reference capacity value and the first differential capacity value (921) exceeds a threshold value, the battery diagnostic device (100) can diagnose the state of the battery cell as a low voltage state.

[0144] A battery diagnostic device (100) according to one embodiment can identify a second differential capacity value (911) corresponding to a peak value (901) in a positive capacity profile (910). The second differential capacity value (911) may correspond to a voltage value (902).

[0145] For example, the battery diagnostic device (100) can diagnose the state of the battery cell as a low voltage state by using the difference between the second differential capacity value (911) and the second reference capacity value related to the positive electrode of the battery cell based on the normal state, and / or the difference between the first reference capacity value and the first differential capacity value. If the difference between the second differential capacity value (911) and the second reference capacity value related to the positive electrode of the battery cell based on the normal state, and / or the difference between the first reference capacity value and the first differential capacity value exceeds a threshold value, the battery diagnostic device (100) can diagnose the state of the battery cell as a low voltage state.

[0146] In one embodiment, the battery diagnostic device (100) may provide information about a battery cell diagnosed as being in a low voltage state. For example, the battery diagnostic device (100) may display information about a battery cell diagnosed as being in a low voltage state on a display. For example, the battery diagnostic device (100) may provide information about a battery cell diagnosed as being in a low voltage state to an external device. For example, the external device may include a device for manufacturing (or managing) the battery cell.

[0147]

[0148] FIG. 10 illustrates an example of a flowchart showing operations performed by a battery diagnostic device according to an embodiment disclosed in this document. FIG. 11 illustrates an example of a graph showing parameters related to the capacity of a battery cell obtained by a battery diagnostic device according to an embodiment disclosed in this document. It is assumed that the battery diagnostic device (100) of FIG. 2 performs the process of FIG. 10. Additionally, the operations described as being performed by the device can be understood as being controlled by the processor (110) of the battery diagnostic device (100). Each of the operations of FIG. 10 may be performed sequentially, but is not necessarily performed sequentially. For example, the order of each of the operations may be changed, and at least two operations may be performed in parallel. Furthermore, the operations of the battery diagnostic device (100) may be performed by a Battery Management System (BMS) in a vehicle, as well as by various devices such as a server, cloud, charger, or charge / discharger. The battery diagnostic device (100) of FIG. 11 can be referenced to the battery diagnostic device (100) of FIG. 2.

[0149] Referring to FIG. 10, in operation S1010, a battery diagnostic device according to one embodiment can obtain a positive capacity profile associated with the positive of the battery cell using a capacity profile. Operation S1010 may be referenced to operation S310 of FIG. 3.

[0150] For example, a battery diagnostic device can obtain a positive capacity profile and / or a negative capacity profile using a capacity profile. For example, the battery diagnostic device (100) can identify the positive capacity of a battery cell and / or the negative capacity of a battery cell based on obtaining the positive capacity profile and / or the negative capacity profile.

[0151] For example, if a battery diagnostic device acquires a capacity profile while charging a battery cell, it can identify the charging positive capacity and / or the charging negative capacity of the battery cell.

[0152] For example, if the battery terminal device acquires a capacity profile while discharging the battery cell, it can identify the discharge positive capacity and / or discharge negative capacity of the battery cell.

[0153] Referring to FIG. 10, in operation S1020, a battery diagnostic device according to one embodiment can identify a parameter representing the relationship between the charging capacity of a battery cell and the discharging capacity of a battery cell based on at least one of a capacity profile, a positive capacity profile, or any combination thereof.

[0154] In one embodiment, the battery diagnostic device can identify a first sub-parameter (e.g., Ps_c in FIG. 11) representing the charge capacity of a battery cell relative to a reference charge capacity.

[0155] For example, the reference charging capacity may include the charging capacity of the battery cell based on normal conditions.

[0156] In one embodiment, the battery diagnostic device can identify a second sub-parameter (e.g., Ps_d in FIG. 11) representing the discharge capacity of a battery cell relative to a reference discharge capacity.

[0157] For example, the reference discharge capacity may include the discharge capacity of the battery cell based on normal conditions.

[0158] In one embodiment, the battery diagnostic device can identify a parameter using a first sub-parameter and a second sub-parameter. For example, the parameter may represent the ratio of the second sub-parameter to the first sub-parameter.

[0159] Referring to FIG. 10, in operation S1030, a battery diagnostic device according to one embodiment can diagnose the state of a battery cell using parameters.

[0160] For example, a battery diagnostic device can diagnose the state of a battery cell as a low voltage state by comparing preset values ​​and parameters.

[0161] For example, a preset value can represent the relationship between the charging capacity and discharging capacity of a battery cell based on normal conditions.

[0162] Referring to FIG. 11, one example (1100) may include a group of parameters (1101) of first battery cells based on a normal state and a group of parameters (1102) of second battery cells based on a low voltage state.

[0163] In one embodiment, the battery diagnostic device (100) can obtain a plurality of battery cells in one (a) process for manufacturing battery cells. By identifying the parameters of each of the plurality of battery cells, it is possible to determine whether there is an abnormality in the process of obtaining the plurality of battery cells.

[0164] For example, a preset value (1103) may include the median value of the group (1101). For example, a parameter (1104) may include the median value of the set (1102).

[0165] For example, in the case of a battery cell based on a low voltage state, the discharge capacity relative to the charge capacity may be reduced due to an internal short circuit. That is, if the parameter (1104) is smaller than a preset value (1103), the battery diagnostic device (100) can diagnose the state of the battery cell corresponding to the parameter (1104) as a low voltage state.

[0166]

[0167] FIG. 12 shows a computing system that executes a battery diagnostic method according to one embodiment disclosed in this document.

[0168] Referring to FIG. 12, a computing system (1000) according to one embodiment disclosed in this document may include an MCU (1010), a memory (1020), an input / output I / F (1030), and a communication I / F (1040).

[0169] The MCU (1010) may be a processor that executes various programs stored in memory (1020) (e.g., SOH calculation program, cell balancing target determination program, etc.), processes various data including SOC (state of charge), SOH (state of health), etc. of multiple battery cells through these programs, and performs the functions of the battery diagnostic device (100) described above. The MCU (1010) may be a BMS, a separate PC, or a cloud, but is not limited thereto.

[0170] The memory (1020) can store various programs regarding the calculation of the battery cell's SOH and the determination of the target for cell balancing. Additionally, the memory (1020) can store various data such as SOC data and SOH data for each battery cell.

[0171] These memories (1020) may be provided in multiple quantities as needed. The memories (1020) may be volatile memories or non-volatile memories. As volatile memories, the memory (1020) may use RAM, DRAM, SRAM, etc. As non-volatile memories, the memory (1020) may use ROM, PROM, EAROM, EPROM, EEPROM, flash memory, etc. The examples of the memories (1020) listed above are merely examples and are not limited to these examples.

[0172] The input / output I / F (1030) can provide an interface that enables data transmission and reception between an input device (not shown), such as a keyboard, mouse, or touch panel, an output device (not shown), and an MCU (1010).

[0173] The communication I / F (1040) is configured to transmit and receive various data to and from a server and may be various devices capable of supporting wired or wireless communication. For example, through the communication I / F (1040), programs for calculating the SOH of a battery cell or determining a balancing target, or various data, can be transmitted and received from an external server provided separately.

[0174] As such, a battery diagnostic method according to one embodiment disclosed in this document can be recorded in memory (1020) and executed by an MCU (1010).

[0175] As described above, even though all components constituting the embodiments disclosed in this document have been described as being combined or operating in combination, the embodiments disclosed in this document are not necessarily limited to such embodiments. That is, within the scope of the purposes of the embodiments disclosed in this document, all components may be selectively combined in one or more ways to operate.

[0176] Furthermore, terms such as "include," "compose," or "have" as described above, unless specifically stated otherwise, mean that the relevant component may be inherent; thus, they should be interpreted as allowing for the inclusion of additional components rather than excluding them. All terms, including technical or scientific terms, have the same meaning as generally understood by those skilled in the art to which the embodiments disclosed in this document pertain, unless otherwise defined. Commonly used terms, such as those defined in advance, should be interpreted in accordance with their contextual meanings in the relevant technology and, unless explicitly defined in this document, should not be interpreted in an ideal or overly formal sense.

[0177] The above description is merely an illustrative explanation of the technical concept disclosed in this document, and a person skilled in the art to which the embodiments disclosed in this document belong may make various modifications and variations within the scope of the essential characteristics of the embodiments disclosed in this document. Accordingly, the embodiments disclosed in this document are intended to explain, not limit, the technical concept of the embodiments disclosed in this document, and the scope of the technical concept disclosed in this document is not limited by these embodiments. The scope of protection of the technical concept disclosed in this document shall be interpreted by the claims below, and all technical concepts within an equivalent scope shall be interpreted as being included within the scope of rights of this document.

Claims

1. An interface for obtaining a capacity profile representing the relationship between the voltage and capacity of a battery cell; and It includes at least one processor, The above at least one processor is, Using the above capacity profile, a positive capacity profile related to the positive electrode of the battery cell and a negative capacity profile related to the negative electrode of the battery cell are obtained, and Based on at least one of the above-mentioned capacity profile, the above-mentioned anode capacity profile, the above-mentioned cathode capacity profile, or any combination thereof, configured to identify a first peak value representing phase equilibrium associated with the cathode, a second peak value representing a phase transition associated with the cathode, a third peak value representing phase equilibrium of the anode and phase equilibrium of the cathode, or at least one combination thereof. Battery diagnostic device.

2. In Claim 1, The above at least one processor is, Based on identifying the first peak value, a first differential capacitance value corresponding to the first peak value in the cathode capacitance profile is identified, and A battery cell configured to diagnose the state of the battery cell as a low voltage state based on the difference between a first reference capacity value and a first differential capacity value associated with the negative electrode of the battery cell based on a normal state. Battery diagnostic device.

3. In Claim 2, The above at least one processor is, Identifying a second differential capacity value corresponding to the first peak value in the above anode capacity profile, and A method configured to diagnose the state of a battery cell as a low voltage state by utilizing the difference between a second reference capacity value and a second derivative capacity value related to the positive electrode of a battery cell based on a normal state, and the difference between a first reference capacity value and a first derivative capacity value. Battery diagnostic device.

4. In Claim 1, The above at least one processor is, Based on identifying the second peak value, a third differential capacitance value corresponding to the second peak value in the cathode capacitance profile is identified, and Configured to diagnose the state of the battery cell as a low voltage state based on the difference between the first reference capacity value and the third derivative capacity value associated with the negative electrode of the battery cell based on the normal state. Battery diagnostic device.

5. In Claim 4, The above at least one processor is, Identifying a fourth differential capacity value corresponding to the second peak value in the above anode capacity profile, and A configuration for diagnosing the state of the battery cell as a low voltage state by utilizing the difference between the fourth derivative capacity value and the second reference capacity value related to the positive electrode of the battery cell based on the normal state, and the difference between the first reference capacity value and the third derivative capacity value. Battery diagnostic device.

6. In Claim 1, The above at least one processor is, Identify the third peak value within the specified voltage range of the above capacitance profile, and Configured to diagnose the state of the battery cell based on the above peak value, Battery diagnostic device.

7. In Claim 6, The above at least one processor is, Identifying a fifth differential capacitance value corresponding to the third peak value in the above cathode capacitance profile, and Identifying a sixth differential capacity value corresponding to the third peak value in the above anode capacity profile, and Configured to diagnose the state of the battery cell as a low voltage state based on at least one of the fifth derivative capacity value, the sixth derivative capacity value, or any combination thereof. Battery diagnostic device.

8. An operation of obtaining a positive capacity profile associated with the positive electrode of the battery cell and a negative capacity profile associated with the negative electrode of the battery cell using a capacity profile representing the relationship between the voltage and capacity of the battery cell; and Based on at least one of the above-mentioned capacity profile, the above-mentioned anode capacity profile, the above-mentioned cathode capacity profile, or any combination thereof, the method comprises identifying a first peak value representing phase equilibrium associated with the cathode, a second peak value representing a phase transition associated with the cathode, a third peak value representing phase equilibrium of the anode and phase equilibrium of the cathode, or at least one combination thereof. Battery diagnostic method.

9. In Claim 8, The above battery diagnostic method is, An operation of identifying a first differential capacitance value corresponding to the first peak value in the cathode capacitance profile based on identifying the first peak value, and A method further comprising an operation of diagnosing the state of the battery cell as a low voltage state based on the difference between a first reference capacity value and a first differential capacity value related to the negative electrode of the battery cell based on a normal state. Battery diagnostic method.

10. In Claim 9, The operation of diagnosing the state of the above battery cell as a low voltage state is, An operation of identifying a second differential capacity value corresponding to the first peak value in the anode capacity profile, and A method comprising diagnosing the state of the battery cell as a low voltage state using the difference between a second reference capacity value and a second derivative capacity value related to the positive electrode of the battery cell based on a normal state, and the difference between a first reference capacity value and a first derivative capacity value. Battery diagnostic method.

11. In Claim 8, The above battery diagnostic method is, An operation of identifying a third differential capacitance value corresponding to the second peak value in the cathode capacitance profile based on identifying the second peak value, and A method comprising diagnosing the state of the battery cell as a low voltage state based on the difference between a first reference capacity value and a third derivative capacity value related to the negative electrode of the battery cell based on a normal state. Battery diagnostic method.

12. In Claim 11, The operation of diagnosing the state of the above battery cell as a low voltage state is, An operation to identify a fourth differential capacity value corresponding to the second peak value in the anode capacity profile, and The method includes an operation of diagnosing the state of the battery cell to a low voltage state using the difference between the fourth derivative capacity value and the second reference capacity value related to the positive electrode of the battery cell based on the normal state, and the difference between the first reference capacity value and the third derivative capacity value. Battery diagnostic method.

13. In claim 8, The above battery diagnostic method is, An operation to identify the third peak value within the specified voltage range of the above-mentioned capacitance profile, and A method including an operation to diagnose the state of the battery cell based on the above peak value. Battery diagnostic method.

14. In Claim 13, The operation of diagnosing the condition of the above battery cell is, The operation of identifying a fifth derivative capacitance value corresponding to the third peak value in the above cathode capacitance profile, An operation to identify a sixth differential capacity value corresponding to the third peak value in the anode capacity profile, and A battery diagnosis method comprising diagnosing the state of the battery cell to a low voltage state based on at least one of the fifth derivative capacity value, the sixth derivative capacity value, or any combination thereof.

15. A computer-readable medium storing a program for executing the battery diagnostic method of claim 8 on a computer.

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