Apparatus for processing battery data and operating method thereof

Abstract

A battery data processing device according to one embodiment disclosed in this document includes a communication circuit and a processor, wherein the processor uses the communication circuit to acquire sensing data of the battery unit during a charge / discharge test of the battery unit, distinguishes at least one charge / discharge section according to the charge / discharge state of the battery unit based on the sensing data, determines a predetermined frequency range based on the energy magnitude per frequency of the sensing data, distinguishes a first section of the predetermined frequency range and a second section outside the predetermined frequency range based on the sensing data, and generates labeling data in which the at least one charge / discharge section, the first section, and / or the second section are labeled in the sensing data.

Description

Technology Field

[0001] The embodiments disclosed in this document relate to a battery data processing device and a method of operating the same. Background Technology

[0002] Recently, active research and development on secondary batteries has been underway. Here, secondary batteries refer to rechargeable batteries, encompassing conventional Ni / Cd and Ni / MH batteries as well as the more recent lithium-ion batteries. Among secondary batteries, lithium-ion batteries have the advantage of significantly higher energy density compared to conventional Ni / Cd and Ni / MH batteries. Furthermore, lithium-ion batteries can be manufactured in a compact and lightweight manner, making them suitable for use as power sources for mobile devices. Recently, their scope of application has expanded to include electric vehicles, drawing attention as a next-generation energy storage medium.

[0003] In addition, the secondary battery can generally be used as a battery pack comprising a battery module in which a plurality of battery cells are connected in series and / or parallel. Also, the secondary battery can be used as a battery rack comprising a plurality of battery modules and a rack frame that accommodates these battery modules.

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

[0005] Data processing is required to diagnose the condition of a secondary battery using voltage, current, and temperature data collected from the secondary battery. This is performed during the data preprocessing stage, and among these steps, the task of distinguishing between necessary and unnecessary data is essential. [Prior Art] (0001) Published Patent Application No. 10-2022-0012747 (Feb. 4, 2022) (0002) Published Patent Application No. 10-2022-0068806 (May 26, 2022) (0003) Published Patent Application No. 10-2022-0156254 (Nov. 25, 2022) The problem to be solved

[0006] Traditionally, large amounts of data were processed by operators repeatedly drawing graphs, deleting unnecessary data, and re-verifying it.

[0007] One objective of the embodiments disclosed in this document is to provide a battery data processing device and a method of operation thereof that can automate the process of preprocessing sensing data of a battery.

[0008] One objective of the embodiments disclosed in this document is to provide a battery data processing device capable of performing preprocessing of battery sensing data according to the charge / discharge state and frequency, and a method of operating the same.

[0009] 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. means of solving the problem

[0010] A battery data processing device according to one embodiment disclosed in this document includes a communication circuit and a processor, wherein the processor uses the communication circuit to acquire sensing data of the battery unit during a charge / discharge test of the battery unit, distinguishes at least one charge / discharge section according to the charge / discharge state of the battery unit based on the sensing data, determines a predetermined frequency range based on the energy magnitude per frequency of the sensing data, distinguishes a first section of the predetermined frequency range and a second section outside the predetermined frequency range based on the sensing data, and generates labeling data in which the at least one charge / discharge section, the first section, and / or the second section are labeled in the sensing data.

[0011] In a battery data processing device according to one embodiment disclosed in this document, the sensing data may include at least one of voltage data, current data, or temperature data of the battery unit.

[0012] In a battery data processing device according to one embodiment disclosed in this document, the processor can determine the charge / discharge state based on at least one of the voltage, current, or temperature of the battery unit.

[0013] In a battery data processing device according to one embodiment disclosed in this document, the at least one charge / discharge section may include at least one of a rapid charge section, a normal charge section, a standby section after charging, a discharge section, or a standby section after discharge.

[0014] In a battery data processing device according to one embodiment disclosed in this document, the processor can generate spectral density data based on the sensing data and determine the frequency range in which the energy magnitude in the spectral density data is greater than or equal to a specified magnitude as the predetermined frequency range.

[0015] In a battery data processing device according to one embodiment disclosed in this document, the processor converts the sensing data in the time domain into frequency domain data, extracts filtered data from the frequency domain data in which data outside the predetermined frequency range is deleted, converts the filtered data into time domain data, and compares the time domain data with the sensing data to distinguish the first section and the second section.

[0016] In a battery data processing device according to one embodiment disclosed in this document, the processor can generate labeling data in which the first section of the sensing data is labeled in a first manner and the second section is labeled in a second manner different from the first manner.

[0017] In a battery data processing device according to an embodiment disclosed in this document, the processor labels the at least one charge / discharge section in the sensing data in a first manner according to the charge / discharge state, and generates labeling data in which the second section is labeled in a second manner different from the first manner, wherein the labeling data may be such that the section corresponding to the second section among the at least one charge / discharge section is labeled in the second manner rather than the first manner.

[0018] A battery data processing method according to one embodiment disclosed in this document may include: acquiring sensing data of a battery unit during a charge / discharge test of the battery unit; distinguishing at least one charge / discharge interval based on the sensing data according to the charge / discharge state of the battery unit; determining a predetermined frequency range based on the energy magnitude per frequency of the sensing data; distinguishing a first interval of the predetermined frequency range and a second interval outside the predetermined frequency range based on the sensing data; and generating labeling data that labels the at least one charge / discharge interval, the first interval, and / or the second interval in the sensing data.

[0019] In a battery data processing method according to one embodiment disclosed in this document, the sensing data may include at least one of voltage data, current data, or temperature data of the battery unit.

[0020] A battery data processing method according to one embodiment disclosed in this document may further include an operation of determining the charge / discharge state based on at least one of the voltage, current, or temperature of the battery unit.

[0021] In a battery data processing method according to one embodiment disclosed in this document, the at least one charge / discharge section may include at least one of a rapid charge section, a normal charge section, a standby section after charging, a discharge section, or a standby section after discharge.

[0022] In a battery data processing method according to one embodiment disclosed in this document, the operation of determining the predetermined frequency range may include the operation of generating spectral density data based on the sensing data, and the operation of determining the frequency range in which the energy magnitude in the spectral density data is greater than or equal to a specified magnitude as the predetermined frequency range.

[0023] In a battery data processing method according to an embodiment disclosed in this document, the operation of distinguishing the first section and the second section based on the sensing data may include: converting the sensing data in the time domain into frequency domain data; extracting filtered data from the frequency domain data by deleting data outside the predetermined frequency range; converting the filtered data into time domain data; and comparing the time domain data with the sensing data to distinguish the first section and the second section.

[0024] In a battery data processing method according to an embodiment disclosed in this document, the operation of generating the labeling data may include the operation of labeling the first section in the sensing data in a first manner and labeling the second section in a second manner different from the first manner to generate the labeling data. Effects of the invention

[0025] According to the embodiments disclosed in this document, the efficiency of battery status diagnosis can be improved by reducing the preprocessing time of battery sensing data.

[0026] In addition, various effects that can be identified directly or indirectly through this document may be provided. Brief explanation of the drawing

[0027] FIG. 1 is a block diagram of a battery data processing device according to one embodiment. FIG. 2 is a drawing for explaining an example in which a battery data processing device according to one embodiment distinguishes a first section and a second section based on sensing data and labels each. FIG. 3 is a drawing for explaining an example in which a battery data processing device according to one embodiment distinguishes and labels at least one charge / discharge section, a first section, and a second section based on sensing data. FIG. 4 is an operation flowchart of a battery data processing device according to one embodiment. FIG. 5 is an operation flowchart of a battery data processing device according to one embodiment. Specific details for implementing the invention

[0028] Hereinafter, various embodiments of the present invention are described with reference to the accompanying drawings. However, this is not intended to limit the present invention to specific embodiments and should be understood to include various modifications, equivalents, and / or alternatives of the embodiments of the present invention.

[0029] The various embodiments of this document and the terms used therein are not intended to limit the technical features described in this document to specific embodiments, and should be understood to include various modifications, equivalents, or substitutions of said embodiments. In connection with the description of the drawings, similar reference numerals may be used for similar or related components. The singular form of a noun corresponding to an item may include one or more of said items unless the relevant context clearly indicates otherwise.

[0030] 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. Terms such as “first,” “second,” “first,” “second,” “A,” “B,” “(a),” or “(b)” may be used simply to distinguish a component from another component and, unless specifically stated otherwise, do not limit the components in any other aspect (e.g., importance or order).

[0031] In this document, where it is mentioned that any (e.g., 1) component is “connected,” “coupled,” or “joined” to another (e.g., 2) component, with or without the terms “functionally” or “communicationly,” or where it is mentioned as “coupled” or “connected,” it means that said component may be connected to said other component directly (e.g., by wire), wirelessly, or through a third component.

[0032] According to one embodiment, the method according to the various embodiments disclosed herein may be provided by being 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.

[0033] According to various embodiments, each component (e.g., module or program) of the components described above 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 components or operations among the aforementioned components 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 those performed by the corresponding component among the multiple components prior to integration. According to various embodiments, operations performed by the module, program, or other components 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.

[0034] FIG. 1 is a block diagram of a battery data processing device according to one embodiment.

[0035] Referring to FIG. 1, the battery data processing device (101) can be connected to an electronic device (103) and a user terminal (105) via wired and / or wireless connections.

[0036] In one embodiment, the connection (104) between the battery data processing device (101) and the electronic device (103) may be a communication connection via a wired and / or wireless network. In one embodiment, the wired network may be based on a local area network (LAN) communication or power line communication. In one embodiment, the wireless network may be based on a short-range communication network (e.g., Bluetooth, WiFi (wireless fidelity) or IrDA (infrared data association)), or a long-range communication network (cellular network, 4G network, 5G network).

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

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

[0039] In one embodiment, the electronic device (103) may be a mobile device (e.g., mobile phone, laptop computer, smartphone, smart pad), an electric vehicle (e.g., EV (electric vehicle), HEV (hybrid EV), PHEV (plug-in HEV), FCEV (fuel cell EV)), an energy storage system (ESS), or a battery swapping system (BSS).

[0040] In one embodiment, the electronic device (103) may include one or more battery units (111, 113, 115). Each of the one or more battery units (111, 113, 115) may be a battery cell, a battery module, a battery pack, or a battery rack.

[0041] In one embodiment, the user terminal (105) may be a mobile device (e.g., mobile phone, laptop computer, smartphone, smart pad) or a PC (personal computer).

[0042] In one embodiment, the battery data processing device (101) may include a communication circuit (120), a sensor (130), a memory (140), and a processor (150). According to an embodiment, the battery data processing device (101) illustrated in FIG. 1 may further include at least one component (e.g., a display, an input device, or an output device) other than the components illustrated in FIG. 1.

[0043] In one embodiment, the communication circuit (120) establishes a wired communication channel and / or a wireless communication channel between the battery data processing device (101) and the electronic device (103) and / or user terminal (105), and can transmit and receive data with the electronic device (103) and / or user terminal (105) through the established communication channel.

[0044] In one embodiment, the sensor (130) can obtain values ​​related to the state of the battery units (111, 113, 115) of the electronic device (103). In one embodiment, the values ​​related to the state may represent one or more values ​​for the voltage, current, resistance, state of charge (SOC), state of health (SOH), or temperature of the battery units (111, 113, 115), or a combination thereof. Hereinafter, the values ​​related to the state may be referred to as 'state values'.

[0045] In one embodiment, the memory (140) may include volatile memory and / or non-volatile memory.

[0046] In one embodiment, the memory (140) may store data used by at least one component (e.g., processor (150)) of the battery data processing device (101). For example, the data may include software (or, related instructions), input data, or output data. In one embodiment, the instructions may cause the battery data processing device (101) to perform operations defined by the instructions when executed by the processor (150).

[0047] In one embodiment, the memory (140) may include one or more software components (e.g., an acquisition unit (141), a first classification unit (143), a determination unit (145), a second classification unit (147), and a labeling unit (149)).

[0048] In one embodiment, the processor (150) may include a central processing unit, an application processor, a graphics processing unit, a neural processing unit (NPU), an image signal processor, a sensor hub processor, or a communication processor.

[0049] In one embodiment, the processor (150) can execute software (e.g., acquisition unit (141), first classification unit (143), determination unit (145), second classification unit (147), and labeling unit (149)) to control at least one other component (e.g., hardware or software component) of the battery data processing device (101) connected to the processor (150) and can perform various data processing or operations.

[0050] Hereinafter, with reference to FIGS. 2 and 3, a method is described in which a battery data processing device (101) processes sensing data of a battery unit (111, 113, or 115) through an acquisition unit (141), a first classification unit (143), a determination unit (145), a second classification unit (147), and / or a labeling unit (149).

[0051] FIG. 2 is a diagram illustrating an example in which a battery data processing device according to one embodiment distinguishes a first section and a second section based on sensing data. FIG. 3 is a diagram illustrating an example in which a battery data processing device according to one embodiment distinguishes at least one charge / discharge section, a first section, and a second section based on sensing data and labels each.

[0052] In one embodiment, the acquisition unit (141) can acquire sensing data (210 or 310) of the battery unit (111, 113, or 115). In one embodiment, the acquisition unit (141) can acquire sensing data (210 or 310) of the battery unit (111, 113, or 115) during a charge / discharge test for the battery unit (111, 113, or 115). In one embodiment, the sensing data (210 or 310) may include at least one of voltage data, current data, or temperature data of the battery unit (111, 113, or 115). In one embodiment, the sensing data (210 or 310) may be time domain data. For example, the sensing data (210 or 310) may include at least one of voltage data, current data, or temperature data of the battery unit (111, 113, or 115) over time.

[0053] In one embodiment, the acquisition unit (141) can acquire sensing data (210 or 310) of a battery unit (111, 113, or 115) through an electronic device (103) connected via a wired and / or wireless network.

[0054] In one embodiment, the first separator (143) can distinguish at least one charge / discharge section according to the charge / discharge state of the battery unit (111, 113, or 115) based on sensing data (210 or 310). Here, the charge / discharge state may include at least one of a rapid charge state, a normal charge state, a standby state after charging, a discharge state, or a standby state after discharging. For example, the first separator (143) can distinguish a rapid charge section, a normal charge section, a standby section after charging, a discharge section, and / or a standby section after discharging based on sensing data (210 or 310).

[0055] In one embodiment, the first separator (143) can determine the charge / discharge state based on at least one of the voltage, current, or temperature of the battery unit (111, 113, or 115).

[0056] For example, if the sensing data (210 or 310) is voltage data of a battery unit (111, 113, or 115), the first separator (143) can classify a section of the sensing data (210 or 310) that is a first designated voltage range as a fast charging section. The first separator (143) can classify a section of the sensing data (210 or 310) that is a second voltage range having an upper limit value lower than the lower limit value of the first voltage range as a normal charging section. The first separator (143) can classify a section of the sensing data (210 or 310) that is a third voltage range having an upper limit value lower than the lower limit value of the second voltage range as a standby section after charging. The first separator (143) can classify a section of the sensing data (210 or 310) that is a fourth voltage range having an upper limit value lower than the lower limit value of the third voltage range as a standby section after discharging. The first division unit (143) can divide the section of the fifth voltage range having an upper limit value lower than the lower limit value of the fourth voltage range in the sensing data (210 or 310) into a discharge section. Here, the first voltage range, the second voltage range, the third voltage range, the fourth voltage range, and / or the fifth voltage range can be set differently according to the specifications of the battery unit (111, 113, or 115).

[0057] In one embodiment, the determining unit (145) can determine a predetermined frequency range based on the frequency-specific energy magnitude of the sensing data (210 or 310).

[0058] In one embodiment, the determining unit (145) may generate spectral density data based on sensing data (210 or 310). Here, the spectral density data may be data representing the energy of the sensing data (210 or 310) in the frequency domain. For example, the spectral density data may include energy spectral density data.

[0059] In one embodiment, the determining unit (145) can extract a frequency range in which the energy magnitude is greater than or equal to a specified magnitude from the generated spectral density data. The determining unit (145) can determine the extracted frequency range as the predetermined frequency range.

[0060] In one embodiment, the second section (147) can distinguish a first section of a predetermined frequency range determined by the determination section (145) based on sensing data (210 or 310) and a second section outside the predetermined frequency range.

[0061] In one embodiment, the second separator (147) can convert the time domain sensing data (210 or 310) into frequency domain data. For example, the second separator (147) can convert the sensing data (210 or 310) into frequency domain data through a Fourier transform. The second separator (147) can extract filtered data from the frequency domain data by deleting data outside the predetermined frequency range. In this case, the filtered data may include only data within the predetermined frequency range. The second separator (147) can convert the frequency domain filtered data into time domain data. For example, the second separator (147) can convert the filtered data into time domain data through an inverse Fourier transform. The second separator (147) can distinguish the first section and the second section by comparing the converted time domain data with the sensing data (210 or 310). For example, the second segmentation unit (147) can divide a segment that is equally included in the time domain data and the sensing data (210 or 310) into a first segment. Additionally, the second segmentation unit (147) can divide a segment that is included only in the sensing data (210 or 310) into a second segment.

[0062] In one embodiment, the labeling unit (149) may label the first section in the sensing data (210 or 310) in a first manner and generate labeling data in which the second section is labeled in a second manner different from the first manner. The first manner may mean a first distinction display method, and the second manner may mean a second distinction display method.

[0063] In one embodiment, the labeling unit (149) may label at least one charge / discharge section of a battery unit (111, 113, or 115) in the sensing data (210 or 310) according to the first method according to the charge / discharge state. For example, the labeling unit (149) may label each of the rapid charging section, normal charging section, standby section after charging, discharge section, and / or standby section after discharge, as distinguished by the first division unit (143), differently according to the method included in the first method. In this case, the labeling data may be labeled such that the section corresponding to the second section among the at least one charge / discharge section is labeled with priority to the second method over the first method.

[0064] Referring to FIG. 2, a first section of the sensing data (210) is labeled in a first manner, and a second section is labeled in a second manner different from the first manner, and labeling data (220) can be seen. Here, the X-axis of the sensing data (210) and the labeling data (220) represents time, and the Y-axis may represent the voltage, current, or temperature of the battery unit (111, 113, or 115).

[0065] Referring to FIG. 3, a first labeling data (320) can be observed in which the first charge / discharge section in the sensing data (310) is labeled in a third manner and the second charge / discharge section is labeled in a fourth manner. Here, the first manner may include the third manner and the fourth manner. Additionally, a second labeling data (330) can be observed in which the second section in the first labeling data (320) is indicated in the second manner. At this time, the second manner for labeling the second section may take precedence over the labeling method according to the charge / discharge state (e.g., the third manner or the fourth manner). Here, the X-axis of the sensing data (310), the first labeling data (320), and the second labeling data (330) represents time, and the Y-axis may represent the voltage, current, or temperature of the battery unit (111, 113, or 115).

[0066] FIG. 4 is an operation flowchart of a battery data processing device according to one embodiment. FIG. 4 can be described using the configurations of FIG. 1.

[0067] The embodiment illustrated in FIG. 4 is merely one example, and the order of steps according to various embodiments of the present invention may differ from that illustrated in FIG. 4, and some steps illustrated in FIG. 4 may be omitted, the order of steps may be changed, or steps may be merged.

[0068] Referring to FIG. 4, in operation 405, the battery data processing device (101) can acquire sensing data of the battery unit (111, 113, or 115). In one embodiment, the battery data processing device (101) can acquire sensing data (210 or 310) of the battery unit (111, 113, or 115) during a charge / discharge test for the battery unit (111, 113, or 115). In one embodiment, the sensing data may include at least one of voltage data, current data, or temperature data of the battery unit (111, 113, or 115). In one embodiment, the sensing data may be time-domain data. For example, the sensing data may include at least one of voltage data, current data, or temperature data of the battery unit (111, 113, or 115) over time.

[0069] In one embodiment, the battery data processing device (101) can acquire sensing data of a battery unit (111, 113, or 115) through an electronic device (103) connected via a wired and / or wireless network.

[0070] In operation 410, the battery data processing device (101) can distinguish at least one charge / discharge section according to the charge / discharge state of the battery unit (111, 113, or 115) based on the sensing data obtained in operation 405. Here, the charge / discharge state may include at least one of a rapid charge state, a normal charge state, a standby state after charging, a discharge state, or a standby state after discharging. For example, the first distinguishing unit (143) can distinguish a rapid charge section, a normal charge section, a standby section after charging, a discharge section, and / or a standby section after discharging based on the sensing data.

[0071] In one embodiment, the battery data processing device (101) can determine the charge / discharge state based on at least one of the voltage, current, or temperature of the battery unit (111, 113, or 115).

[0072] For example, if the sensing data is voltage data of a battery unit (111, 113, or 115), the battery data processing device (101) may classify a section of the sensing data that is a first designated voltage range as a rapid charging section. The battery data processing device (101) may classify a section of the sensing data that is a second voltage range having an upper limit value lower than the lower limit value of the first voltage range as a normal charging section. The battery data processing device (101) may classify a section of the sensing data that is a third voltage range having an upper limit value lower than the lower limit value of the second voltage range as a standby section after charging. The battery data processing device (101) may classify a section of the sensing data that is a fourth voltage range having an upper limit value lower than the lower limit value of the third voltage range as a standby section after discharging. The battery data processing device (101) may classify a section of the sensing data that is a fifth voltage range having an upper limit value lower than the lower limit value of the fourth voltage range as a discharge section. Here, the first voltage range, the second voltage range, the third voltage range, the fourth voltage range, and / or the fifth voltage range may be set differently depending on the specifications of the battery unit (111, 113, or 115).

[0073] In operation 415, the battery data processing device (101) can determine a predetermined frequency range based on the frequency-dependent energy magnitude of the sensing data. The battery data processing device (101) can generate spectral density data based on the sensing data. Here, the spectral density data may be data representing the energy of the sensing data in the frequency domain. For example, the spectral density data may include energy spectral density data.

[0074] In one embodiment, the battery data processing device (101) can extract a frequency range in which the energy magnitude is greater than or equal to a specified magnitude from the generated spectral density data. The battery data processing device (101) can determine the extracted frequency range as the predetermined frequency range.

[0075] In operation 420, the battery data processing device (101) can distinguish a first section of a predetermined frequency range determined in operation 415 and a second section outside the predetermined frequency range based on sensing data. Operation 420 can be specifically described through FIG. 5.

[0076] In one embodiment, the battery data processing device (101) can generate labeling data in which the first section of the sensing data is labeled in a first manner and the second section is labeled in a second manner different from the first manner.

[0077] In one embodiment, the battery data processing device (101) can label at least one charge / discharge section of a battery unit (111, 113, or 115) in the sensing data according to the first method according to the charge / discharge state. For example, the battery data processing device (101) can label each of the rapid charge section, normal charge section, standby section after charging, discharge section, and / or standby section after discharge, as distinguished by the first division unit (143), differently according to the method included in the first method. In this case, the labeling data may be labeled such that the section corresponding to the second section among the at least one charge / discharge section is labeled with priority over the first method using the second method.

[0078] FIG. 5 is an operation flowchart of a battery data processing device according to one embodiment. FIG. 5 can be described using the configurations of FIG. 1.

[0079] The embodiment illustrated in FIG. 5 is merely one example, and the order of steps according to various embodiments of the present invention may differ from that illustrated in FIG. 5, and some steps illustrated in FIG. 5 may be omitted, the order of steps may be changed, or steps may be merged.

[0080] Referring to FIG. 5, in operation 505, the battery data processing device (101) can convert the time domain sensing data into the frequency domain data. For example, the battery data processing device (101) can convert the sensing data into the frequency domain data through a Fourier transform.

[0081] In operation 510, the battery data processing device (101) can extract filtered data from the frequency domain data converted in operation 505, by deleting data outside the predetermined frequency range determined in operation 415 of FIG. 4. In this case, the filtered data may include only data within the predetermined frequency range.

[0082] In operation 515, the battery data processing device (101) can convert the frequency domain filtered data extracted in operation 510 into time domain data. For example, the battery data processing device (101) can convert the filtered data into time domain data through an inverse Fourier transform.

[0083] In operation 520, the battery data processing device (101) can distinguish the first section and the second section by comparing the time domain data converted in operation 515 with the sensing data. For example, the battery data processing device (101) can distinguish the section that is equally included in the time domain data and the sensing data as the first section. Additionally, the battery data processing device (101) can distinguish the section that is included only in the sensing data as the second section.

[0084] Terms such as "include," "compose," or "have" as used above, unless specifically stated otherwise, mean that the relevant component may be inherent; therefore, 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.

Claims

Claim 1 A battery data processing device comprising: a communication circuit; and a processor, wherein the processor uses the communication circuit to acquire sensing data of the battery unit during a charge / discharge test of the battery unit, determines at least one charge / discharge state of the battery unit based on the sensing data, distinguishes at least one charge / discharge interval in the sensing data according to the at least one charge / discharge state, converts the sensing data in the time domain into frequency domain data through a Fourier transform, determines a predetermined frequency range based on the energy magnitude per frequency of the frequency domain data, distinguishes a first interval of the predetermined frequency range and a second interval outside the predetermined frequency range, and generates labeling data in which at least one of the at least one charge / discharge interval, the first interval, or the second interval is labeled in the sensing data. Claim 2 A battery data processing device according to claim 1, wherein the sensing data comprises at least one of voltage data, current data, or temperature data of the battery unit. Claim 3 A battery data processing device according to claim 2, wherein the processor determines the charge / discharge state based on at least one of voltage data, current data, or temperature data of the battery unit, and, if the sensing data is voltage data, determines the at least one charge / discharge state according to a voltage range specified in the sensing data. Claim 4 A battery data processing device according to claim 1, wherein the at least one charge / discharge section comprises at least one of a rapid charge section, a normal charge section, a standby section after charging, a discharge section, or a standby section after discharge. Claim 5 A battery data processing device according to claim 1, wherein the processor generates spectral density data based on the sensing data and determines a frequency range in which the energy magnitude in the spectral density data is greater than or equal to a specified magnitude as the predetermined frequency range. Claim 6 A battery data processing device according to claim 1, wherein the processor extracts filtered data from the frequency domain data by deleting data outside the predetermined frequency range, converts the filtered data into time domain data, compares the time domain data with the sensing data to classify a section identically included in the time domain data and the sensing data as the first section, and classifies a section included in the sensing data among the time domain data and the sensing data as the second section. Claim 7 A battery data processing device according to claim 1, wherein the processor generates labeling data in which the first section in the sensing data is labeled using a first distinction display method and the second section is labeled using a second distinction display method different from the first distinction display method, and the first distinction display method and the second distinction display method are labeled differently for each of the charge / discharge sections including the at least one charge / discharge section. Claim 8 A battery data processing device according to claim 1, wherein the processor labels the at least one charge / discharge section in the sensing data according to the at least one charge / discharge state using a first classification display method and labels the second section using a second classification display method different from the first classification display method, and wherein the labeling data is such that the section corresponding to the second section among the at least one charge / discharge section is labeled using the second classification display method in priority over the first classification display method. Claim 9 A battery data processing method comprising: a processor acquiring sensing data of a battery unit during a charge / discharge test of the battery unit; a processor determining at least one charge / discharge state of the battery unit based on the sensing data; a processor distinguishing at least one charge / discharge interval in the sensing data in the at least one charge / discharge state; a processor converting the sensing data in the time domain into frequency domain data through a Fourier transform; a processor determining a predetermined frequency range based on the energy magnitude per frequency in the frequency domain; a processor distinguishing a first interval of the predetermined frequency range and a second interval outside the predetermined frequency range; and a processor generating labeling data in which at least one of the at least one charge / discharge interval, the first interval, or the second interval is labeled in the sensing data. Claim 10 A battery data processing method according to claim 9, wherein the sensing data comprises at least one of voltage data, current data, or temperature data of the battery unit. Claim 11 A battery data processing method according to claim 10, wherein the processor further comprises the operation of determining the charge / discharge state based on at least one of voltage data, current data, or temperature data of the battery unit, and the processor further comprises the operation of determining the at least one charge / discharge state according to a voltage range specified in the sensing data when the sensing data is voltage data. Claim 12 A battery data processing method according to claim 9, wherein the at least one charge / discharge section comprises at least one of a rapid charge section, a normal charge section, a standby section after charging, a discharge section, or a standby section after discharge. Claim 13 A battery data processing method according to claim 9, wherein the operation of determining the predetermined frequency range comprises: the operation of the processor generating spectral density data based on the sensing data; and the operation of the processor determining the frequency range in which the energy magnitude in the spectral density data is greater than or equal to a specified magnitude as the predetermined frequency range. Claim 14 A battery data processing method according to claim 9, wherein the operation of distinguishing the first section and the second section based on the sensing data comprises: the operation of the processor extracting filtered data from the frequency domain data by deleting data outside the predetermined frequency range; the operation of the processor converting the filtered data into time domain data; the operation of the processor comparing the time domain data and the sensing data to distinguish a section identically included in the time domain data and the sensing data as the first section; and the operation of the processor distinguishing a section included in the sensing data among the time domain data and the sensing data as the second section. Claim 15 A battery data processing method according to claim 9, wherein the operation of generating the labeling data comprises the operation of the processor labeling the first section in the sensing data using a first distinction display method and labeling the second section using a second distinction display method different from the first distinction display method, and wherein the first distinction display method and the second distinction display method are labeled differently for each of the charge / discharge sections including the at least one charge / discharge section.

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