Battery diagnosis device and method thereof

Abstract

A battery diagnosis device according to an embodiment of the present document may comprise: a memory in which at least one instruction is stored; and a processor for executing the at least one instruction, wherein the processor acquires incremental capacity data on the basis of charging and discharging data for a plurality of battery cells, identifies reference incremental capacity values of the plurality of battery cells corresponding to voltages of the plurality of respective battery cells by using the incremental capacity data, and acquires a target voltage for diagnosing states of the battery cells by using the reference incremental capacity values.

Description

Battery diagnostic device and method thereof

[0001] Cross-citation with related applications

[0002] This application claims the benefit of priority to Republic of Korea Patent Application No. 10-2024-0095951, filed July 19, 2024, the entire disclosure of which is incorporated herein by reference.

[0003] Technology field

[0004] The embodiments disclosed in this document relate to a battery diagnostic device and 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] After completing the activation process for a battery cell, the cell can be classified as either normal or defective based on whether it can output a specified voltage. Typically, battery cell diagnosis is performed by calculating the degree of self-discharge based on the open circuit voltage (OCV) or by measuring the cell's internal leakage current. However, this method requires measuring voltage changes after storing the battery cell for a relatively long period of time, which can be time-consuming and costly.

[0007] According to embodiments disclosed in this document, an object is to provide a battery diagnosis device and method for obtaining a target voltage for diagnosing a battery cell using differential capacity data of a plurality of battery cells.

[0008] According to embodiments disclosed in this document, a battery diagnosis device and method are provided that group a plurality of battery cells to obtain first reference differential capacity values ​​and second reference differential capacity values, and obtain a target voltage for diagnosing a battery cell using the obtained first reference differential capacity values ​​and second reference differential capacity values.

[0009] According to embodiments disclosed in this document, an object is to provide a battery diagnosis device and method for obtaining a target voltage for diagnosing a battery cell using charge and discharge data of a plurality of battery cells.

[0010] The technical problems of the present invention 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 description below.

[0011] According to one embodiment of the present document, a battery diagnosis device includes a memory storing at least one instruction, and a processor executing the at least one instruction, wherein the processor obtains incremental capacity data based on charge and discharge data for a plurality of battery cells, identifies reference incremental capacity values ​​of the plurality of battery cells corresponding to voltages of each of the plurality of battery cells using the incremental capacity data, and obtains a target voltage for diagnosing a state of the battery cell using the reference incremental capacity values.

[0012] In one embodiment, the processor may identify each of the voltages based on dividing a designated voltage range into designated voltage sizes, identify first reference differential capacity values ​​of a first portion of the plurality of battery cells corresponding to each of the voltages among the reference differential capacity values, and identify second reference differential capacity values ​​of a second portion of the plurality of battery cells corresponding to each of the voltages among the reference differential capacity values.

[0013] In one embodiment, the first reference differential capacity value may include a representative value of the differential capacity value detected from the first portion corresponding to each of the voltages, and the second reference differential capacity value may include a representative value of the differential capacity value detected from the second portion corresponding to each of the voltages.

[0014] In one embodiment, the processor may obtain the target voltage from among the voltages based on a difference between the first reference differential capacity value and the second reference differential capacity value.

[0015] In one embodiment, the processor can identify a voltage whose absolute value of the difference corresponds to a reference voltage as the target voltage.

[0016] In one embodiment, the reference voltage may include the largest voltage among the absolute values ​​of the differences.

[0017] In one embodiment, the processor can obtain the target voltage based on sequentially sorting the differences.

[0018] In one embodiment, the processor may obtain the charge and discharge data based on performing a specified process on the battery pack.

[0019] A battery diagnosis method according to one embodiment of the present document may include an operation of obtaining, by a processor, incremental capacity data based on charge and discharge data for a plurality of battery cells, an operation of identifying, by the processor, reference incremental capacity values ​​of a plurality of battery cells corresponding to voltages of each of the plurality of battery cells using the incremental capacity data, and an operation of obtaining, by the processor, a target voltage for diagnosing a state of a battery cell using the reference incremental capacity values.

[0020] The battery diagnosis method according to one embodiment may include an operation of identifying each of the voltages based on dividing a designated voltage section into designated voltage sizes, an operation of identifying first reference differential capacity values ​​of a first portion of the plurality of battery cells corresponding to each of the voltages among the reference differential capacity values, and an operation of identifying second reference differential capacity values ​​of a second portion of the plurality of battery cells corresponding to each of the voltages among the reference differential capacity values.

[0021] In one embodiment, the first reference differential capacity value may include a representative value of the differential capacity value detected from the first portion corresponding to each of the voltages. The second reference differential capacity value may include a representative value of the differential capacity value detected from the second portion corresponding to each of the voltages.

[0022] The battery diagnosis method according to one embodiment may include an operation of obtaining the target voltage among the voltages based on a difference between the first reference differential capacity value and the second reference differential capacity value.

[0023] The battery diagnosis method according to one embodiment may include an operation of identifying a voltage whose absolute value of the difference corresponds to a reference voltage as the target voltage.

[0024] In one embodiment, the reference voltage may include the largest voltage among the absolute values ​​of the differences.

[0025] The battery diagnosis method according to one embodiment may include an operation of obtaining the target voltage based on sequentially sorting the differences.

[0026] The present technology can obtain a target voltage for diagnosing a battery cell by using differential capacity data of multiple battery cells.

[0027] In addition, the present technology can group a plurality of battery cells to obtain first reference differential capacity values ​​and second reference differential capacity values, and obtain a target voltage for diagnosing the battery cell using the obtained first reference differential capacity values ​​and second reference differential capacity values.

[0028] Additionally, the present technology can obtain a target voltage for diagnosing a battery cell by using charge and discharge data of multiple battery cells.

[0029] In addition, various effects may be provided, either directly or indirectly, through this document.

[0030] FIG. 1 is a block diagram showing a battery pack in a battery diagnosis device and a battery diagnosis method according to one embodiment of the present document.

[0031] FIG. 2 illustrates an example of a block diagram showing the configuration of a battery diagnostic device according to one embodiment of the present document.

[0032] FIG. 3 illustrates an example of obtaining a target voltage using differential capacity data in one embodiment of the present document.

[0033] FIG. 4 illustrates an example of a graph related to differential capacity data of battery cells in one embodiment of the present document.

[0034] FIG. 5 illustrates an example of a graph representing a box plot related to the voltage of a battery cell in one embodiment of the present document.

[0035] FIG. 6 illustrates an example of a flowchart related to a battery diagnosis method according to one embodiment of the present document.

[0036] FIG. 7 is a block diagram showing the hardware configuration of a computing system for performing a battery diagnosis method in a battery diagnosis device and a battery diagnosis method according to one embodiment of the present document.

[0037] Hereinafter, some embodiments disclosed in this document are described with reference to the accompanying drawings, which illustrate various embodiments of this document. However, this is not intended to limit the present technology to specific embodiments, and it should be understood that various modifications, equivalents, and / or alternatives of the embodiments of this technology are included.

[0038] When assigning reference numerals to components in each drawing, it should be noted that identical components are assigned the same numerals whenever possible, even if they are shown in different drawings. Furthermore, when describing various embodiments disclosed in this document, if a detailed description of a related known configuration or function is deemed to hinder understanding of the embodiments of the present invention, the detailed description will be omitted. The singular form of a noun corresponding to an item may include one or more items, unless the 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 only intended to distinguish the components from other components, and the nature, order, or sequence of the components may not be limited by the terms. In addition, unless otherwise defined, all terms used herein, 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. Terms defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning they have in the context of the relevant technology, and shall not be interpreted in an idealized or overly formal sense unless explicitly defined in this application.

[0040] In addition, in the present disclosure, expressions such as "more than" or "less than" may be used to determine whether a specific condition is satisfied or fulfilled. However, this is merely a description for expressing an example and does not exclude descriptions such as "more than" or "less than." Conditions described as "more than" may be replaced with "more than," conditions described as "less than," and conditions described as "more than and less than" may be replaced with "more than and less than." In addition, hereinafter, "A" to "B" mean at least one of the elements from A (including A) to B (including B).

[0041] In this document, each of 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" may include any one of the items listed together in that phrase, or all possible combinations thereof.

[0042] In this document, when 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 is referred to as being “coupled” or “connected,” it means that the component can be connected to the other component directly (e.g., wired), wirelessly, or through a third component.

[0043] According to one embodiment, the method according to the various embodiments disclosed in the present document may be provided as included in a computer program product. The computer program product may be traded as a product between a seller and a buyer. The computer program product may be distributed in the form of a machine-readable storage medium (e.g., 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 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 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] Hereinafter, embodiments of the present document will be described in detail with reference to FIGS. 1 to 7.

[0046] FIG. 1 is a block diagram showing a battery pack in a battery diagnosis device and a battery diagnosis method according to one embodiment of the present document.

[0047] Referring to FIG. 1, a battery pack (1) may include a battery unit (12), a sensor unit (14), a switching unit (16), and a battery management system (BMS) (20). At this time, the battery pack (1) may be equipped with a plurality of battery units (12), sensor units (14), switching units (16), and battery management systems (20).

[0048] According to one embodiment, the battery unit (12) can supply power to a target device (not shown). To this end, the battery unit (12) 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 the battery pack (1). For example, the target device can be, but is not limited to, an electric vehicle (EV).

[0049] According to one embodiment, the battery unit (12) may include at least one battery cell (10) that is rechargeable and dischargeable. Here, the battery cell (10) may be a basic unit of a battery cell that can charge and discharge electric energy and use it. For example, the battery cell (10) may be a lithium-ion (Li-ion) battery, a lithium-ion polymer (Li-ion polymer) battery, a nickel-cadmium (Ni-Cd) battery, a nickel-metal hydride (Ni-MH) battery, etc., but may not be limited thereto.

[0050] According to one embodiment, when a plurality of battery units (12) are provided, the plurality of battery units may be connected in series or parallel. For example, the battery unit (12) may be a battery module, a battery bank, or a collection of battery cells (cell-to-pack structure).

[0051] According to one embodiment, the sensor unit (14) can obtain information related to the battery unit (12). According to one embodiment, the sensor unit (14) can obtain values ​​(or information) related to the state of each of the battery unit (12) or at least one battery cell (10). In one embodiment, the values ​​related to the state may include one or more values ​​for voltage, current, resistance, state of charge (SOC), state of health (SOH), or temperature of the battery cell, or a combination thereof.

[0052] According to one embodiment, the sensor unit (14) can provide information of the battery unit (12) to the battery management system (20).

[0053] According to one embodiment, the switching unit (16) may include a device for controlling the current flow for charging or discharging the battery unit (12). For example, the switching unit (16) may include at least one relay and / or magnetic contactor, etc., depending on the specifications of the battery pack (1).

[0054] According to one embodiment, the battery management system (20) can control or manage the battery pack (1) to prevent overcharging, overdischarging, etc. by monitoring the voltage, current, temperature, etc. of the battery pack (1). For example, the battery management system (20) may include a plurality of terminals as an interface for receiving values ​​measured from the various parameters described above, and a circuit connected to these terminals to process the values ​​received. In addition, the battery management system (20) may control the sensor unit (14) and / or the switching unit (16). For example, the battery management system (20) may be connected to a plurality of battery units including the battery unit (12), monitor the status of each of the plurality of battery units, and control ON / OFF of a relay or a contactor, etc.

[0055] According to one embodiment, the operation of the battery management system (20) may be performed by a battery management system (BMS) in the vehicle, as well as by various devices such as a server, cloud, charger, or charger / discharger.

[0056] The upper controller (2) can transmit a control signal for the battery unit (12) to the battery management system (20). Accordingly, the operation of the battery management system (20) can be controlled based on the signal received from the upper controller (2).

[0057] According to one embodiment, the battery management system (20) may include the battery diagnosis device (200) of FIG. 2. According to another embodiment, the battery management system (20) may be a different system from the battery diagnosis device (200) of FIG. 2. That is, the battery diagnosis device (200) of FIG. 2 may be included in the battery pack (1) or may be configured as another device external to the battery pack (1). Hereinafter, for convenience of explanation, it is assumed that the battery diagnosis device (200) is configured as another device external to the battery pack (1). In addition, the operation of the battery diagnosis device (200) below may be performed by the BMS in the vehicle, as well as by various devices such as a server, the cloud, a charger, or a charger / discharger.

[0058] FIG. 2 illustrates an example of a block diagram showing the configuration of a battery diagnostic device according to one embodiment of the present document.

[0059] Referring to FIG. 2, a battery diagnostic device (200) according to one embodiment may include a processor (210) and a memory (220). The processor (210) or the memory (220) may be electronically and / or operably coupled with each other by an electronic component including a communication bus.

[0060] Hereinafter, the hardwares being operatively coupled may include a direct connection between the hardwares, and / or an indirect connection established by wires and / or wirelessly, such that the second hardware is controlled by the first hardware among the hardwares.

[0061] Although illustrated in different blocks, the embodiment is not limited thereto. For example, some of the hardware of FIG. 2 may be included in a single integrated circuit including a system on a chip (SoC). The type and / or number of hardware included in the battery diagnostic device (200) is not limited to that illustrated in FIG. 2. For example, the battery diagnostic device (200) may include only some of the hardware illustrated in FIG. 2.

[0062] A battery diagnostic device (200) according to one embodiment may include hardware that processes data based on at least one instruction. The hardware that processes data may include a processor (210). For example, the hardware that processes data may include an arithmetic and logic unit (ALU), a floating point unit (FPU), a field programmable gate array (FPGA), a central processing unit (CPU), and / or an application processor (AP).

[0063] For example, the processor (210) may have a single-core processor structure, or a multi-core processor structure including a dual core, a quad core, a hexa core, or an octa core.

[0064] The memory (220) of the battery diagnostic device (200) according to one embodiment may include a hardware component that stores data and / or instructions input to and / or output from the processor (210) of the battery diagnostic device (200).

[0065] For example, the memory (220) may include volatile memory including random-access memory (RAM), and / or non-volatile memory including read-only memory (ROM).

[0066] For example, the volatile memory may include at least one of dynamic RAM (DRAM), static RAM (SRAM), cache RAM, pseudo SRAM (PSRAM), or any combination thereof.

[0067] For example, the non-volatile memory may include at least one of a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (EEPROM), a flash memory, a hard disk, a compact disc, a solid state drive (SSD), an embedded multi-media card (eMMC), or any combination thereof.

[0068] For example, within the memory (220) of the battery diagnostic device (200), at least one instruction (or command) indicating an operation and / or action to be performed on data by the processor (210) of the battery diagnostic device (200) may be stored.

[0069] For example, a set of at least one instruction may be referred to as a program, firmware, an operating system, a process, a routine, a sub-routine, and / or an application. Hereinafter, the fact that an application is installed in the battery diagnostic device (200) may mean that at least one instruction provided in the form of an application is stored in the memory (220), and that the application is stored in a format executable by the processor (210) of the battery diagnostic device (200) (e.g., a file having an extension designated by the operating system of the battery diagnostic device (200).

[0070] A battery diagnostic device (200) according to one embodiment may include a processor (210) that executes at least one instruction and a memory (220) in which at least one instruction is stored.

[0071] In one embodiment, the processor (210) may obtain charge and discharge data for a plurality of battery cells including battery cells (10) included in the battery pack (1) and / or battery unit (12). For example, the processor (210) may obtain incremental capacity data based on the obtained charge and discharge data for the plurality of battery cells included in the battery pack. Hereinafter, the plurality of battery cells may be understood to include the battery cell (10) of FIG. 1. In addition, the battery pack (1) may include the battery unit (12) below.

[0072] For example, the charge and discharge data may include at least one of the voltage of the battery pack (1), the current of the battery pack (1), time, the capacity of the battery pack (1), or any combination thereof. For example, the charge and discharge data may include at least one of the voltage of the battery cell (10), the current of the battery cell (10), time, the capacity of the battery cell (10), or any combination thereof.

[0073] For example, the processor (210) may obtain differential capacity data based on pre-processing of charge and discharge data for a plurality of battery cells included in the battery pack (1). For example, the pre-processing may include obtaining differential capacity data using the charge and discharge data. For example, the pre-processing may include extracting features from the charge and discharge data.

[0074] For example, the processor (210) may obtain charge and discharge data based on performing a designated process on the battery pack (1). For example, the designated process may include a process performed by a battery diagnostic device (200) or an external electronic device different from the battery diagnostic device (200). For example, the charge and discharge data may be obtained based on performing charge and discharge on the battery pack (1). For example, the charge and discharge data may be obtained based on performing charge and discharge on the battery cell (10). For example, the charge and discharge data may be obtained based on performing charge and discharge on the battery unit (12).

[0075] For example, the designated process may include an activation process. For example, the activation process may include a first operation for performing aging on the battery, a second operation for performing charging and discharging of the battery, and a third operation for performing degassing to remove internal gases from the battery. For example, the activation process may include a process for repeatedly performing the first operation, the second operation, and the third operation.

[0076] In one embodiment, the processor (210) can identify reference differential capacity values ​​of a plurality of battery cells corresponding to each of the plurality of battery cells based on differential capacity data.

[0077] For example, the processor (210) may divide a designated voltage range into designated voltage sizes. For example, the processor (210) may identify the voltages of each of the plurality of battery cells. For example, the processor (210) may identify the voltages of each of the plurality of battery cells based on the division of the designated voltage range into designated voltage sizes.

[0078] For example, the processor (210) may identify first reference differential capacity values ​​of a first portion of the plurality of battery cells, each corresponding to a voltage of each of the plurality of battery cells among the reference differential capacity values. For example, the first portion of the plurality of battery cells may include defective cells. For example, the defective cells may include battery cells having a relatively lower voltage compared to normal cells described below. For example, the defective cells may include battery cells capable of outputting a voltage lower than a voltage in a designated section. For example, the defective cells may include battery cells capable of outputting a voltage in a section different from the designated section. For example, the defective cells may include battery cells capable of outputting a voltage outside the designated section. For example, the defective cells may include battery cells capable of outputting a voltage lower than a minimum value in the designated section.

[0079] For example, the first reference differential capacity value may include a representative value of the differential capacity value detected from a first portion of the plurality of battery cells, corresponding to each of the voltages of each of the plurality of battery cells.

[0080] For example, the processor (210) may identify second reference differential capacity values ​​of a second portion of the plurality of battery cells, each corresponding to a voltage of each of the plurality of battery cells among the reference differential capacity values. For example, the second portion of the plurality of battery cells may include normal cells. For example, the normal cells may include battery cells capable of outputting a voltage within a specified range. For example, the normal cells may include battery cells capable of outputting a voltage within a specified range.

[0081] For example, the second reference differential capacity value may include a representative value of the differential capacity value detected from a second portion of the plurality of battery cells, corresponding to each of the voltages of each of the plurality of battery cells.

[0082] The representative value described above may include at least one of the mean, median, arithmetic mean, geometric mean, harmonic mean, weighted mean, median, mode, maximum, minimum, quartile, or any combination thereof. However, examples of representative values ​​are not limited to those described above. Hereinafter, for convenience of explanation, the representative value is described as the mean.

[0083] In one embodiment, the processor (210) may obtain a target voltage for diagnosing the condition of at least one of the battery pack (1), the battery unit (12), the battery cell (10), or any combination thereof, based on the reference differential capacity values.

[0084] For example, the processor (210) may obtain a target voltage from among the voltages of each of the plurality of battery cells. For example, the processor (210) may obtain a target voltage from among the voltages of each of the plurality of battery cells based on the difference between a first reference differential capacity value and a second reference differential capacity value.

[0085] For example, the processor (210) can identify the absolute value of the difference between the first reference differential capacity value and the second reference differential capacity value.

[0086] For example, the processor (210) can identify whether the absolute value of the difference between the first reference differential capacity value and the second reference differential capacity value corresponds to the reference voltage. For example, the processor (210) can identify a voltage at which the absolute value of the difference between the first reference differential capacity value and the second reference differential capacity value corresponds to the reference voltage. For example, the processor (210) can identify a voltage at which the absolute value of the difference between the first reference differential capacity value and the second reference differential capacity value corresponds to the reference voltage as the target voltage.

[0087] For example, the reference voltage may include the largest voltage among the absolute values ​​of the differences between the first reference differential capacitance value and the second reference differential capacitance value.

[0088] For example, the processor (210) may sequentially sort the differences between the first reference differential capacitance value and the second reference differential capacitance value. For example, the processor (210) may obtain the target voltage based on the sequential sorting of the differences between the first reference differential capacitance value and the second reference differential capacitance value.

[0089] For example, the processor (210) can obtain a target voltage by identifying a voltage having the largest difference between the first reference differential capacity value and the second reference differential capacity value based on sequentially sorting the differences between the first reference differential capacity value and the second reference differential capacity value.

[0090] In one embodiment, the processor (210) may identify a target interval including a target voltage. For example, the target interval may include a voltage for diagnosing battery cells. For example, the target interval may include a voltage interval for determining whether each battery cell is a normal cell or a defective cell.

[0091] According to an embodiment, the battery diagnosis device (200) can diagnose the battery cell (10) using the target voltage. However, the embodiment is not limited thereto. For example, an external electronic device different from the battery diagnosis device (200) can diagnose the battery cell using the target voltage. For example, the battery diagnosis device (200) can provide the target voltage to the external electronic device. For example, in order for the external electronic device to diagnose the battery cell using the target voltage, the battery diagnosis device (200) can transmit data (or information) including the target voltage to the external electronic device through a communication circuit.

[0092] For example, a battery cell (10) that outputs a voltage lower than the target voltage may be a defective cell, and a battery cell (10) that outputs a voltage higher than the target voltage may be a normal cell.

[0093] For example, the battery diagnostic device (200) can diagnose a battery cell (10) whose voltage is lower than the target voltage as a defective cell. For example, the battery diagnostic device (200) can diagnose a battery cell (10) whose voltage is higher than the target voltage as a normal cell.

[0094] As described above, the battery diagnosis device (200) according to one embodiment can obtain a target voltage for diagnosing a battery cell (10) based on differential capacity data of the battery pack (1). The battery diagnosis device (200) and / or an external electronic device can accurately diagnose whether the battery cell (10) is a normal cell or a defective cell by diagnosing the battery cell (10) using the target voltage.

[0095] FIG. 3 illustrates an example of obtaining a target voltage using differential capacity data in one embodiment of the present document.

[0096] Referring to FIG. 3, the processor (210) of the battery diagnostic device (200) according to one embodiment can obtain a graph (300) including differential capacity data.

[0097] For example, the processor (210) may obtain a graph (300) including differential capacity data based on charge and discharge data of a plurality of battery cells. For example, the processor (210) may identify reference differential capacity values ​​of a plurality of battery cells corresponding to voltages of each of the plurality of battery cells using the differential capacity data.

[0098] For example, the processor (210) can obtain first reference differential capacity values ​​(301) of a first portion of the plurality of battery cells, each corresponding to a voltage of each of the plurality of battery cells among the reference differential capacity values.

[0099] For example, the processor (210) can obtain second reference differential capacity values ​​(303) of a second portion of the plurality of battery cells, each corresponding to a voltage of each of the plurality of battery cells among the reference differential capacity values.

[0100] For example, the first part may contain defective cells. For example, the second part may contain normal cells.

[0101] For example, the processor (210) can identify the difference between the first reference differential capacity values ​​(301) and the second reference differential capacity values ​​(303). For example, the processor (210) can identify the absolute value of the difference between the first reference differential capacity values ​​(301) and the second reference differential capacity values ​​(303).

[0102] For example, the processor (210) can identify a voltage having the largest absolute value of the difference between the first reference differential capacitance values ​​(301) and the second reference differential capacitance values ​​(303). For example, the processor (210) can identify a voltage having the largest absolute value of the difference between the first reference differential capacitance values ​​(301) and the second reference differential capacitance values ​​(303) as the target voltage (305).

[0103] For example, the battery diagnostic device (200) can diagnose a battery pack (1), a battery cell (10), and / or a battery unit (12) based on a target voltage (305) identified using a graph (300) and / or differential capacity data.

[0104] FIG. 4 illustrates an example of a graph related to differential capacity data of battery cells in one embodiment of the present document.

[0105] Referring to FIG. 4, a battery diagnostic device (200) according to one embodiment and / or an external electronic device for diagnosing a battery cell (10) can diagnose a battery cell (10) using the target voltage obtained through FIGS. 1 to 3.

[0106] For example, the battery diagnostic device (200) and / or the external electronic device may obtain a graph (400) based on the diagnosis of the battery cell. For example, in the graph (400), the first result values ​​(401) may include differential capacity values ​​obtained from defective cells. For example, the second result values ​​(403) may include differential capacity values ​​obtained from normal cells.

[0107] Looking at the graph (400), one can see the difference between the average value and / or median value of the first result values ​​(401) and the average value and / or median value of the second result values ​​(403). The battery diagnostic device (200) and / or the external electronic device can diagnose the battery cell (10) using the target voltage, thereby distinguishing between normal cells and defective cells, as shown in the graph (400).

[0108] FIG. 5 illustrates an example of a graph representing a box plot related to the voltage of a battery cell in one embodiment of the present document.

[0109] Referring to FIG. 5, a battery diagnostic device (200) and / or an external electronic device for diagnosing a battery cell (10) can obtain a graph (500) based on diagnosing the battery cell (10) using a target voltage.

[0110] For example, graph (500) may be an example representing a box plot of battery cells. In graph (500), the first result (501) may include an example representing a box plot of normal cells. In graph (500), the second result (503) may include an example representing a box plot of defective cells.

[0111] Looking at the graph (500), it can be confirmed that the first quartile of the first result (501) and the first quartile of the second result (503) do not overlap. Looking at the graph (500), it can be confirmed that the second quartile of the first result (501) and the second quartile of the second result (503) do not overlap. Looking at the graph (500), it can be confirmed that the third quartile of the first result (501) and the third quartile of the second result do not overlap.

[0112] According to one embodiment, a battery diagnostic device (200) and / or an external electronic device can clearly distinguish between normal cells and defective cells as shown in the graph (500) by diagnosing a battery cell (10) using a target voltage.

[0113] FIG. 6 illustrates an example of a flowchart related to a battery diagnosis method according to one embodiment of the present document.

[0114] In the following, it is assumed that the battery diagnostic device (200) of FIG. 2 performs the process of FIG. 6. In addition, in the description of FIG. 6, the operations described as being performed by the device can be understood as being controlled by the processor (210) of the battery diagnostic device (200).

[0115] At least one of the operations of FIG. 6 may be performed by the battery diagnostic device (200) of FIG. 2. At least one of the operations of FIG. 6 may be controlled by the processor (210) of FIG. 2. 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.

[0116] Referring to FIG. 6, in operation S601, a battery diagnosis method according to one embodiment may include an operation of obtaining differential capacity data based on charge and discharge data for a plurality of battery cells included in a battery pack (1).

[0117] For example, a battery diagnostic method may include an operation of obtaining differential capacity data based on charge and discharge data for a battery cell (10) included in at least one of a battery pack (1), a battery unit (12), or any combination thereof.

[0118] For example, a battery diagnostic method may include an operation of acquiring charge and discharge data based on performing a specified process on a battery pack (1).

[0119] In operation S603, a battery diagnosis method according to an embodiment may include an operation of identifying reference differential capacity values ​​of a plurality of battery cells corresponding to voltages of each of the plurality of battery cells using differential capacity data.

[0120] For example, a battery diagnostic method may include an operation of identifying each of the voltages of each of a plurality of battery cells based on dividing a specified voltage range into specified voltage magnitudes.

[0121] For example, the battery diagnosis method may include an operation of identifying first reference differential capacity values ​​of a first portion of the plurality of battery cells, each corresponding to a voltage of each of the plurality of battery cells among the reference differential capacity values.

[0122] For example, the battery diagnosis method may include an operation of identifying second reference differential capacity values ​​of a second portion of the plurality of battery cells, each corresponding to a voltage of each of the plurality of battery cells among the reference differential capacity values.

[0123] For example, the first reference differential capacity value may include an average value of differential capacity values ​​detected from the first portion corresponding to each of the voltages of each of the plurality of battery cells.

[0124] For example, the second reference differential capacity value may include an average value of differential capacity values ​​detected from the second portion corresponding to each of the voltages of each of the plurality of battery cells.

[0125] In operation S605, the battery diagnosis method according to one embodiment may include an operation of obtaining a target voltage for diagnosing the state of a battery cell (10) using reference differential capacity values.

[0126] For example, a battery diagnosis method may include an operation of obtaining a target voltage for diagnosing the condition of at least one of a battery pack (1), a battery unit (12), a battery cell (10), or any combination thereof, using reference differential capacity values.

[0127] For example, a battery diagnosis method may include an operation of obtaining a target voltage based on a difference between a first reference differential capacity value and a second reference differential capacity value among voltages of a plurality of battery cells.

[0128] For example, the battery diagnosis method may include an operation of identifying a voltage, where the absolute value of the difference between the first reference differential capacity value and the second reference differential capacity value corresponds to the reference voltage, as the target voltage.

[0129] For example, the reference voltage may include the voltage that is the largest absolute value of the difference between the first reference differential capacitance value and the second reference differential capacitance value. For example, the reference voltage may include the voltage corresponding to the value with the largest absolute value.

[0130] For example, the battery diagnosis method may include an operation of obtaining a target voltage based on sequentially sorting the difference between a first reference differential capacity value and a second reference differential capacity value.

[0131] In this document, it has been described that a target voltage for diagnosing the state of a battery pack (1), a battery unit (12), and / or a battery cell (10) is acquired through a battery diagnosis device (200) and / or a battery diagnosis method, but the embodiment is not limited thereto. For example, the battery diagnosis device (200) and / or the battery diagnosis method can diagnose the state of a battery pack, a battery unit, and / or a battery cell different from the battery pack (1), the battery unit (12), and / or the battery cell (10) based on the acquired target voltage.

[0132] FIG. 7 is a block diagram showing the hardware configuration of a computing system for performing a battery diagnosis method in a battery diagnosis device and a battery diagnosis method according to one embodiment of the present document.

[0133] Referring to FIG. 7, a computing system (1100) according to an embodiment disclosed in the present document may include an MCU (1110), a memory (1120), an input / output I / F (1130), and a communication I / F (1140).

[0134] The MCU (1110) may be a processor that executes various programs stored in the memory (1120) (e.g., a battery cell data collection program, a graph generation program, a data analysis program, a data decomposition algorithm, a normalization program, a battery cell diagnosis program, etc.), processes various information including battery cell characteristic data and latent variables through these programs, and performs the functions of the battery diagnosis device (200) shown in the aforementioned FIGS. 1 to 7.

[0135] The memory (1120) can store various programs such as a battery cell data collection program, a graph generation program, a data analysis program, a data decomposition algorithm, a normalization program, and a battery cell diagnosis program.

[0136] Such memories (1120) may be provided in multiple numbers as needed. The memories (1120) may be volatile memories or non-volatile memories. As volatile memories (1120), RAM, DRAM, SRAM, etc. may be used. As non-volatile memories (1120), ROM, PROM, EAROM, EPROM, EEPROM, flash memories, etc. may be used. The examples of the memories (1120) listed above are merely examples and are not limited to these examples.

[0137] The input / output I / F (1130) 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 the MCU (1110).

[0138] The communication I / F (1140) is a component capable of transmitting and receiving various data with the server, and may be any device capable of supporting wired or wireless communication. For example, the battery diagnostic device (200) can transmit and receive various types of information, including battery cell shape models, from a separately provided external server via the communication I / F (1140).

[0139] In this way, a computer program according to an embodiment disclosed in this document may be implemented as a module that is recorded in a memory (1120) and processed by an MCU (1110) to perform each function illustrated in FIG. 2, for example.

[0140] In the above, 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.

[0141] In addition, terms such as "include," "comprise," or "have" described above, unless specifically stated to the contrary, should be interpreted to imply the inclusion of the corresponding component, and thus should not be interpreted to exclude other components, but rather to include 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.

[0142] 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. Memory in which at least one instruction is stored; and comprising a processor that executes at least one instruction; The above processor, Based on charge and discharge data for multiple battery cells, incremental capacity data is obtained, Using the differential capacity data, the reference differential capacity values ​​of the plurality of battery cells corresponding to the voltages of each of the plurality of battery cells are identified, A battery diagnostic device configured to obtain a target voltage for diagnosing the state of a battery cell using the above reference differential capacity values.

2. In paragraph 1, The above processor, Identifying each of the voltages based on dividing the designated voltage interval into designated voltage sizes, Identifying first reference differential capacity values ​​of a first portion of the plurality of battery cells corresponding to each of the voltages among the reference differential capacity values, A battery diagnostic device configured to identify second reference differential capacity values ​​of a second portion of the plurality of battery cells, each corresponding to one of the voltages among the reference differential capacity values.

3. In paragraph 2, The above first reference differential capacity value is, Contains a representative value of the differential capacitance value detected from the first part corresponding to each of the above voltages, The above second reference differential capacity value is, A battery diagnostic device comprising a representative value of the differential capacity value detected from the second part corresponding to each of the above voltages.

4. In paragraph 2, The above processor, A battery diagnostic device configured to obtain the target voltage among the voltages based on the difference between the first reference differential capacity value and the second reference differential capacity value.

5. In paragraph 4, The above processor, A battery diagnostic device configured to identify a voltage corresponding to the absolute value of the difference from the reference voltage as the target voltage.

6. In paragraph 5, The above reference voltage is, A battery diagnostic device comprising the largest voltage among the absolute values ​​of the above differences.

7. In paragraph 4, The above processor, A battery diagnostic device configured to obtain the target voltage based on sequentially sorting the above differences.

8. In paragraph 1, The above processor, A battery diagnostic device configured to acquire the charge and discharge data based on performing a specified process on the battery pack.

9. An operation of obtaining incremental capacity data based on charge and discharge data for a plurality of battery cells by a processor; An operation of identifying, by the processor, reference differential capacity values ​​of the plurality of battery cells corresponding to the voltages of each of the plurality of battery cells using the differential capacity data; and A battery diagnosis method, comprising an operation of obtaining a target voltage for diagnosing the state of a battery cell using the reference differential capacity values ​​by the processor.

10. In paragraph 9, The above battery diagnosis method is, An operation of identifying each of the voltages based on dividing the designated voltage range into designated voltage sizes; An operation of identifying first reference differential capacity values ​​of a first portion of the plurality of battery cells, each corresponding to one of the voltages among the reference differential capacity values; A battery diagnosis method, comprising an operation of identifying second reference differential capacity values ​​of a second portion of the plurality of battery cells, each corresponding to one of the voltages among the reference differential capacity values.

11. In paragraph 10, The above first reference differential capacity value is, Contains a representative value of the differential capacitance value detected from the first part corresponding to each of the above voltages, The above second reference differential capacity value is, A battery diagnosis method, comprising a representative value of the differential capacity value detected from the second part corresponding to each of the above voltages.

12. In paragraph 10, The above battery diagnosis method is, A battery diagnosis method, comprising an operation of obtaining the target voltage among the voltages based on the difference between the first reference differential capacity value and the second reference differential capacity value.

13. In paragraph 12, The above battery diagnosis method is, A battery diagnosis method, comprising an operation of identifying a voltage whose absolute value of the difference corresponds to a reference voltage as the target voltage.

14. In paragraph 13, The above reference voltage is, A battery diagnosis method comprising the largest voltage among the absolute values ​​of the above differences.

15. In paragraph 13, The above battery diagnosis method is, A battery diagnosis method, comprising an operation of obtaining the target voltage based on sequentially sorting the above differences.

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