Battery diagnosis apparatus and operation method thereof

Abstract

A battery diagnosis apparatus, according to one embodiment disclosed in the present document, may comprise: a sensor for acquiring voltage data for each of battery cells; and a processor for calculating the voltage change amount (dV), which is the difference between voltage values at two arbitrary time points for each of the battery cells, on the basis of the voltage data, calculating the cumulative change amount on the basis of the voltage change amounts, and diagnosing whether the battery cells are abnormal on the basis of the cumulative change amount.

Description

Battery diagnostic device and method of operation thereof

[0001] Cross-citation with related applications

[0002] This invention claims the benefit of priority from Korean Patent Application No. 10-2023-0095638, filed on July 21, 2023, and all contents of the document in that Korean Patent Application are incorporated herein by reference.

[0003] Technology field

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

[0005] Recently, active research and development has been conducted on secondary batteries. The term "secondary battery" refers to a rechargeable battery, encompassing both conventional Ni / Cd and Ni / MH batteries, as well as more recent lithium-ion batteries. Among secondary batteries, lithium-ion batteries boast a significantly higher energy density than conventional Ni / Cd and Ni / MH batteries. Furthermore, lithium-ion batteries can be manufactured in a compact and lightweight form, making them a popular power source for mobile devices. Recently, their use has expanded to include power sources for electric vehicles, drawing attention as a next-generation energy storage medium.

[0006] As the industrial sector utilizing batteries expands, battery management systems (BMSs), which diagnose battery safety, are also evolving. BMSs utilize various diagnostic algorithms to assess battery performance and implement appropriate control based on battery condition. BMSs can detect the presence of abnormal battery cells. These abnormalities can include any cause that could lead to fire, such as damage or aging of the battery itself. In particular, the use of electronic devices equipped with abnormal batteries due to lithium deposition can cause fire, necessitating the early detection of abnormal battery cells.

[0007] During the rest period after discharge, abnormal battery cells may exhibit voltage behaviors different from those of normal cells. Therefore, abnormal battery cells can be detected by checking the voltage difference obtained through sensing signals for each battery cell.

[0008] However, sensor signals can be weak, have irregular signal periods, and contain various types of noise. Because the sensor signals themselves are inherently uncertain, relying solely on sensor signals to determine whether a battery cell is defective can result in a reduced accuracy in identifying defective cells.

[0009] The technical problems of the embodiments disclosed in this document are not limited to the technical problems mentioned above, and other technical problems not mentioned will be clearly understood by those skilled in the art from the descriptions below.

[0010] A battery diagnostic device according to an embodiment disclosed in this document may include a sensor that acquires voltage data for each of the battery cells; and a processor that calculates a voltage change amount (dV), which is a difference between voltage values ​​at any two points in time for each of the battery cells, based on the voltage data, calculates an accumulated change amount based on the voltage change amount, and diagnoses whether the battery cells are abnormal based on the accumulated change amount.

[0011] In one embodiment, the processor may calculate a Z-score that standardizes the voltage changes based on the average and standard deviation of the voltage changes for the battery cells, and calculate the accumulated change based on the Z-score.

[0012] In one embodiment, the average and the standard deviation are the average and standard deviation of voltage changes for each battery unit including some battery cells among all battery cells, and the processor calculates the Z value for each battery unit, calculates the accumulated change amount based on the Z value, and can diagnose whether the battery unit is abnormal based on the accumulated change amount.

[0013] In one embodiment, the two arbitrary points in time may be any two points in time during the rest period after discharge.

[0014] In one embodiment, the processor can diagnose a battery cell that shows an increasing trend in the accumulated change amount as an abnormal battery cell.

[0015] In one embodiment, the battery diagnostic device may further include a communication circuit that transmits the diagnostic result to a user terminal.

[0016] An operating method of a battery diagnosis device according to an embodiment disclosed in this document may include: obtaining voltage data for each of battery cells; calculating a voltage change amount (dV), which is a difference between voltage values ​​at any two points in time for each of the battery cells, based on the voltage data; calculating an accumulated change amount based on the voltage change amount; and diagnosing whether the battery cells are abnormal based on the accumulated change amount.

[0017] In one embodiment, the operating method may further include an operation of calculating a Z-score that standardizes the voltage change amount based on an average and a standard deviation of the voltage change amounts for the battery cells, and the operation of calculating the accumulated change amount may calculate the accumulated change amount based on the Z-score.

[0018] In one embodiment, the average and the standard deviation are the average and standard deviation of voltage changes for each battery unit including some battery cells among all battery cells, the operation of calculating the Z value calculates the Z value for each battery unit, and the operation of diagnosing can diagnose whether the battery unit is abnormal based on the accumulated change amount.

[0019] In one embodiment, the two arbitrary points in time may be any two points in time during the rest period after discharge.

[0020] In one embodiment, the diagnosing operation may diagnose a battery unit that shows an increasing trend in the accumulated change amount as an abnormal battery unit.

[0021] In one embodiment, the operating method may further include an operation of transmitting a diagnosis result to a user terminal.

[0022] The battery diagnostic device and its operating method according to various embodiments disclosed in this document can detect an abnormal battery cell based on a tendency of the accumulated change amount caused by the abnormal battery cell by calculating the accumulated change amount of the voltage change amount for each battery cell.

[0023] The battery diagnostic device and its operating method according to various embodiments disclosed in this document can reduce errors that may occur between battery modules by converting voltage changes for battery cells into Z values ​​(Z-scores).

[0024] The effects of the battery diagnostic device and the operating method thereof according to the disclosure of this document are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art according to the disclosure of this document.

[0025] FIG. 1 and FIG. 2 illustrate a battery diagnostic device according to one embodiment disclosed in the present document.

[0026] FIG. 3 is a block diagram of a battery diagnostic device according to an embodiment disclosed in this document.

[0027] FIG. 4 illustrates a graph of voltage data of battery cells according to one embodiment disclosed in this document.

[0028] FIG. 5 illustrates a graph of cumulative changes in battery cells included in different vehicles according to one embodiment disclosed in this document.

[0029] FIG. 6 is a flowchart illustrating an operation method of a battery diagnostic device for diagnosing an abnormal battery cell according to an embodiment disclosed in this document.

[0030] FIG. 7 is a flowchart illustrating an operation method of a battery diagnostic device for diagnosing an abnormal battery unit according to an embodiment disclosed in this document.

[0031] In connection with the description of the drawings, the same or similar reference numerals may be used for identical or similar components.

[0032] Hereinafter, embodiments of the present invention will be described with reference to the attached drawings. However, this is not intended to limit the present invention to specific embodiments, and it should be understood that the present invention encompasses various modifications, equivalents, and / or alternatives of the embodiments.

[0033] The embodiments and terminology used in this document are not intended to limit the technical features described in this document to a specific embodiment, but should be understood to encompass various modifications, equivalents, or alternatives of the embodiment. In connection with the description of the drawings, similar reference numerals may be used to refer to similar or related components. The singular form of a noun corresponding to an item may include one or more of the item, unless the relevant context clearly indicates otherwise.

[0034] In this document, the phrases "A or B", "at least one of A and B", "at least one of A or B", "A, B, or C", "at least one of A, B, and C", and "at least one of A, B, or C" can each include any one of the items listed together in that phrase, or all possible combinations thereof. Terms such as "first", "second", "first", "second", "A", "B", "(a)", or "(b)" may be used merely to distinguish the corresponding component from other corresponding components, and do not limit the corresponding components in any other respect (e.g., importance or order) unless specifically stated otherwise.

[0035] 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 “coupled” or “connected,” it means that the component can be connected to the other component directly (e.g., wired or wirelessly), or indirectly (e.g., via a third component).

[0036] The methods according to various embodiments disclosed in this document may be provided as included in a computer program product. The computer program product may be traded as a commodity between a seller and a buyer. The computer program product may be distributed in the form of a machine-readable storage medium (e.g., compact disc read-only memory, CD-ROM), or may be distributed online (e.g., downloaded or uploaded) through an application store or directly between two user devices. In the case of online distribution, at least a portion of the computer program product may be temporarily stored or temporarily generated in a machine-readable storage medium, such as the memory of a manufacturer's server, an application store's server, or an intermediary server.

[0037] According to the embodiments disclosed in this document, each component (e.g., a module or a program) of the above-described components may include one or more entities, and some of the entities may be separated and placed in other components. According to the embodiments disclosed in this document, one or more components or operations of the aforementioned components may be omitted, or one or more other components or operations may be added. Alternatively or additionally, a plurality of components (e.g., a module or a program) may be integrated into a single component. In such a case, the integrated component may perform one or more functions of each of the plurality of components identically or similarly to those performed by the corresponding component among the plurality of components prior to the integration. According to the embodiments disclosed in this document, 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.

[0038] FIG. 1 illustrates a battery diagnostic device (10) according to one embodiment disclosed in this document.

[0039] Referring to FIG. 1, the battery diagnostic device (10) may be a BMS capable of diagnosing and controlling battery cells. In one embodiment, the battery diagnostic device (10) may include a battery pack BMS, a slave BMS, or a combination thereof. The battery diagnostic device (10) may be a BMS that senses the voltage, current, and temperature of the battery cells to control and diagnose the battery cells.

[0040] In another embodiment, the battery diagnostic device (10) may be a server or a charger. The battery diagnostic device (10) may be included in the server or the charger. Operations performed in the battery diagnostic device (10) may be performed in the server or the charger.

[0041] The battery diagnosis device (10) can obtain voltage data for battery units (121, 122, 123) included in the electronic device (12). Here, each of the battery units (121, 122, 123) may be a battery cell, a battery module, a battery pack, or a battery rack. The voltage data may be a voltage value for the battery units (121, 122, 123) at a specified time interval. In one embodiment, the battery diagnosis device (10) can obtain the voltage value of each of the battery units (121, 122, 123) included in the electronic device (12) through a sensor. In one embodiment, the battery diagnosis device (10) can obtain the voltage value of each of the battery units (121, 122, 123) included in the electronic device (12) through a communication circuit. Here, the sensor and communication circuit may be included in the battery diagnostic device (10), and details related to the sensor and communication circuit will be described later.

[0042] The battery diagnostic device (10) can calculate a voltage change amount (dV) for each of the battery units (121, 122, 123) based on voltage data. Here, the voltage change amount can be calculated based on a difference between voltage values ​​at at least two points in time included in the voltage data for each of the battery units (121, 122, 123).

[0043] The battery diagnostic device (10) can calculate an accumulated change amount by accumulating the voltage change amount for each battery cell.

[0044] The battery diagnostic device (10) can diagnose whether there is an abnormality in each of the battery units (121, 122, 123) based on the accumulated change amount.

[0045] The battery diagnostic device (10) can transmit the diagnostic results to a user terminal. The battery diagnostic device (10) can transmit the diagnostic results to the user terminal via a communication circuit. Here, the user terminal may be a mobile device or a PC capable of checking the diagnostic results.

[0046] The battery diagnostic device (10) can be connected to an electronic device (12) and a user terminal (14) via wires and / or wirelessly.

[0047] In one embodiment, the connection between the battery diagnostic device (10) and the electronic device (12) may be a communication connection via a wired and / or wireless network. In one embodiment, the wired network may be based on a local area network (LAN) communication or a power line communication. In one embodiment, the wireless network may be based on a short-range communication network (e.g., Bluetooth, wireless fidelity (WiFi), or infrared data association (IrDA)) or a wide-range communication network (cellular network, 4G network, 5G network).

[0048] In one embodiment, the connection between the battery diagnostic device (10) and the electronic device (12) may be a connection via a device-to-device communication method (e.g., a bus, a general purpose input and output (GPIO), a serial peripheral interface (SPI), or a mobile industry processor interface (MIPI)).

[0049] In one embodiment, the connection between the battery diagnostic device (10) and the user terminal (14) may be a communication connection via a wired and / or wireless network.

[0050] In one embodiment, the electronic device (12) may be a mobile device (e.g., a mobile phone, a laptop computer, a smart phone, a smart pad), an electric vehicle (e.g., an electric vehicle (EV), a hybrid EV (HEV), a plug-in HEV (PHEV), a fuel cell EV (FCEV)), an energy storage system (ESS), or a battery swapping system (BSS).

[0051] In one embodiment, the electronic device (12) may include one or more battery units (121, 122, 123). Here, each of the battery units (121, 122, 123) may be a battery cell, a battery module, a battery pack, or a battery rack.

[0052] In one embodiment, the user terminal (14) may be a mobile device (e.g., a mobile phone, a laptop computer, a smart phone, a smart pad), or a personal computer (PC).

[0053] Below, battery cell abnormalities are explained assuming each battery cell is abnormal due to lithium deposition. However, this is for convenience of explanation only; battery cell abnormalities may include all causes, such as internal short circuits that can cause fire, and overcharging.

[0054] FIG. 2 illustrates a battery diagnostic device (10) according to one embodiment disclosed in this document.

[0055] Referring to FIG. 2, the battery diagnosis device (10) may be a battery pack BMS that manages a plurality of slave BMSs (111, 112, 113). The battery diagnosis device (10) may obtain voltage data for battery units (121, 122, 123) from each of the slave BMSs (111, 112, 113), and may diagnose whether battery cells included in the battery pack are abnormal using the obtained voltage data. Here, the slave BMS may perform diagnosis and control of the battery units as a subsystem of the battery pack BMS. For example, the first slave BMS (111) may sense the voltage, current, and temperature of the battery cells included in the first battery unit (121), and control and diagnose each of the battery cells included in the first battery unit (121). Each of the battery units (121, 122, 123) may be a battery cell, a battery module, a battery pack, a battery rack, or a battery group. A battery group may refer to a set of battery cells that can be sensed by a slave BMS. For example, a first slave BMS (111) may perform diagnosis and control on a first battery unit (121), and the first battery unit (121) may be referred to as a battery group.

[0056] The battery diagnostic device (10) can obtain voltage data for each of the battery units (121, 122, 123) from each of the plurality of slave BMSs (111, 112, 113). Here, the voltage data may be a voltage value for the battery units (121, 122, 123) in a specified time period. For example, the battery diagnostic device (10) can obtain the voltage value of the first battery unit (121) through the first slave BMS (111).

[0057] The battery diagnostic device (10) can calculate the voltage change amount for each of the battery units (121, 122, 123) based on voltage data.

[0058] The battery diagnosis device (10) can convert the voltage change amount for each of the battery units (121, 122, 123) into a Z value. Here, the Z value may be a value obtained by standardizing each of the voltage change amounts based on the average value and standard deviation of the voltage change amounts of all battery cells. In one embodiment, the battery diagnosis device (10) can calculate the Z value using the average and standard deviation of the voltage change amounts for each battery unit. For example, the battery diagnosis device (10) can calculate the Z value for each of the battery cells included in the first battery unit (121) based on the average and standard deviation of the voltage change amounts for the battery cells included in the first battery unit (121). A method for calculating the Z value will be described later with reference to FIG. 3.

[0059] The battery diagnostic device (10) can calculate the accumulated change amount by accumulating the Z value for each of the battery units (121, 122, 123).

[0060] The battery diagnostic device (10) can diagnose whether there is an abnormality in each of the battery units (121, 122, 123) based on the accumulated change amount.

[0061] The battery diagnostic device (10) can transmit the diagnostic results to a user terminal. The battery diagnostic device (10) can transmit the diagnostic results to the user terminal via a communication circuit. Here, the user terminal may be a mobile device or a PC capable of checking the diagnostic results.

[0062] FIG. 3 is a block diagram of a battery diagnostic device (10) according to one embodiment disclosed in this document.

[0063] Referring to FIG. 3, the battery diagnostic device (10) may include a sensor (100), a memory (102), a processor (104), a communication circuit (106), or a combination thereof.

[0064] The sensor (100) can obtain values ​​related to the status of the battery units (121, 122, 123) of the electronic device (12). In one embodiment, the values ​​related to the status may represent one or more values ​​for voltage, current, resistance, state of charge (SOC), state of health (SOH), temperature, or a combination thereof of the battery units (121, 122, 123). The sensor (100) can obtain voltage data of the battery units (121, 122, 123) of the electronic device (12). The sensor (100) can obtain voltage data of the battery units (121, 122, 123) at each specified cycle. Hereinafter, the values ​​related to the status may be referred to as 'status values'.

[0065] In one embodiment, the sensor (100) may not be included in the battery diagnostic device (10) if the operations performed in the battery diagnostic device (10) are performed in a server or a charger. The battery diagnostic device (10) may obtain status values ​​for the battery units (121, 122, 123) through the communication circuit (106) if the sensor (100) is not included in the battery diagnostic device (10).

[0066] The memory (102) may store data used by at least one component (e.g., processor (104)) of the battery diagnostic device (10). For example, the data may include software (or instructions related thereto), input data, or output data. In one embodiment, the instructions, when executed by the processor (104), may cause the battery diagnostic device (10) to perform operations defined by the instructions. In one embodiment, the memory (102) may include volatile memory and / or non-volatile memory. In one embodiment, the memory (102) may include one or more software programs.

[0067] The processor (104) may execute software (e.g., a battery diagnostic algorithm) to control at least one other component (e.g., a hardware or software component) of the battery diagnostic device (10) connected to the processor (104) and perform various data processing or calculations.

[0068] The processor (104) can calculate a voltage change amount (dV) for each of the battery cells. The processor (104) can calculate the voltage change amount for each of the battery cells based on voltage data for each of the battery cells. The processor (104) can calculate the voltage change amount based on voltage data in a rest period after discharge. The processor (104) can calculate the voltage change amount based on voltage data in a designated time period during the rest period. Here, the voltage change amount can be calculated based on a difference between voltage values ​​at at least two points in time included in the voltage data. The rest period after discharge may be a time period after a certain period of time has elapsed since the vehicle engine was turned off. For example, the processor (104) can calculate the voltage change amount for each of the battery cells included in the first battery unit (101) based on a difference between a voltage value corresponding to 1200 seconds and a voltage value corresponding to 7200 seconds during the rest period after discharge.

[0069] The processor (104) can calculate the voltage change amount for each battery cell for each specified cycle. The processor (104) can calculate the voltage change amount for each battery cell in the rest period after discharge for each specified cycle.

[0070] The processor (104) can calculate a Z value (Z-score) based on the voltage change amount. The processor (104) can convert the voltage change amount for each battery cell into a Z value. The processor (104) can calculate a Z value that standardizes the voltage change amount for each battery cell based on the voltage changes for the battery cells. The processor (104) can convert the voltage change amount for each battery cell into a Z value based on the average and standard deviation of the voltage changes for the battery cells. Here, the Z value may be a value that standardizes each voltage change amount based on the average and standard deviation of the voltage changes of all battery cells. The Z value may be expressed by mathematical equation 1.

[0071]

[0072] Here, x may be the voltage change for each battery cell, μ may be the average of the voltage changes, and σ may be the standard deviation of the voltage changes.

[0073] In one embodiment, the processor (104) may calculate a Z value for each battery unit. The processor (104) may calculate a Z value for each battery cell included in the same battery unit. The processor (104) may convert a voltage change amount for each battery cell for each battery unit into a Z value. The processor (104) may calculate the Z value for each battery unit based on voltage changes amount for each battery unit that includes at least some battery cells among all battery cells. The processor (104) may convert the voltage change amount for each battery cell included in the same battery unit into a Z value based on an average and a standard deviation of the voltage changes amount for each battery unit. For example, the processor (104) may convert voltage data for each battery cell included in the first battery unit (121) into a Z value based on an average voltage and a standard deviation of the battery cells included in the first battery unit (121). Here, the Z value may be a standardized value of each voltage change amount based on the average value and standard deviation of the voltage change amounts of each battery unit (121, 122, 123). The processor (104) may convert voltage data into a Z value to standardize voltage data for all battery cells, thereby reducing errors occurring due to differences in SOC for each battery module.

[0074] The processor (104) can calculate an accumulated change amount by accumulating the voltage change amount for each battery cell. The processor (104) can calculate an accumulated change amount by accumulating the voltage change amount obtained according to a specified cycle for each battery cell.

[0075] In one embodiment, the processor (104) may calculate an accumulated change amount by accumulating the Z value for each of the battery cells. The processor (104) may calculate an accumulated change amount by accumulating the Z value based on the voltage change amount obtained according to a specified cycle for each of the battery cells.

[0076] In one embodiment, the processor (104) can calculate the cumulative change amount for each battery unit. The processor (104) can calculate the cumulative change amount based on the converted Z value for each battery unit. The processor (104) can calculate the cumulative change amount based on the converted Z value according to a cycle specified for each battery unit.

[0077] The processor (104) can diagnose whether a battery cell is abnormal based on the accumulated change amount. The processor (104) can diagnose whether a battery cell is abnormal based on whether the accumulated change amount tends to increase. The processor (104) can diagnose a battery cell with a tendency for the accumulated change amount to increase as an abnormal battery cell. The processor (104) can diagnose a battery cell with a accumulated change amount exceeding a threshold value as an abnormal battery cell. Here, the threshold value can be an average value or a median value of the accumulated changes for all battery cells.

[0078] In one embodiment, the processor (104) can diagnose whether a battery unit is abnormal based on the accumulated change amount. The processor (104) can detect an abnormal battery unit based on the accumulated change amount. The processor (104) can diagnose whether a battery unit is abnormal based on whether the accumulated change amount tends to increase. The processor (104) can diagnose a battery unit with a tendency for the accumulated change amount to increase as an abnormal battery unit. The processor (104) can diagnose a battery unit with a accumulated change amount exceeding a threshold value as an abnormal battery unit. Here, the abnormal battery unit may be a battery module including one or more abnormal battery cells. The threshold value may be an average value or a median value of the accumulated change amounts for battery cells included in the battery unit.

[0079] As described above, the processor (104) 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.

[0080] The processor (104) may execute software to control at least one other component (e.g., hardware or software component) of the battery diagnostic device (10) connected to the processor (104) and perform various data processing or operations.

[0081] The communication circuit (106) establishes a wired communication channel and / or a wireless communication channel between the battery diagnostic device (10) and the electronic device (12) and / or the user terminal (14), and can transmit and receive data with the electronic device (12) and / or the user terminal (14) through the established communication channel.

[0082] In one embodiment, the communication circuit (106) can receive status values ​​for battery units (121, 122, 123) from an electronic device (12) or a sensor (100) wired or wirelessly when the battery diagnostic device (10) is a device included in a server or charger.

[0083] In one embodiment, the communication circuit (106) can transmit the diagnostic results performed by the processor (104) to the user terminal (14).

[0084] According to an embodiment, the battery diagnostic device (10) illustrated in FIG. 3 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. 3.

[0085] FIG. 4 illustrates a graph (40) of voltage data of battery cells according to one embodiment disclosed in this document.

[0086] Referring to FIG. 4, a graph (40) illustrates voltage values ​​for battery cells in a designated time interval (400). Here, the designated time interval (400) may be all or part of a post-discharge rest interval. Referring to the graph (40), the post-discharge rest interval may be a time interval between 1200 seconds and 9000 seconds, and the designated time interval (400) may be a time interval between 1200 seconds and 7200 seconds.

[0087] Voltage data may be voltage values ​​for battery cells during a specified time period during a rest period after discharge. For example, the battery diagnostic device (10) may calculate the voltage change amount for each battery cell based on the difference between the voltage value at 1200 seconds and the voltage value at 7200 seconds.

[0088] FIG. 5 illustrates graphs (50, 52, 54) of cumulative changes according to one embodiment disclosed in this document.

[0089] Referring to Figure 5, a first graph (50) for an abnormal battery unit, a second graph (52) for a normal battery unit, and a third graph (54) for a battery unit due to other causes are illustrated. Here, the other causes may include causes other than the cause of the ignition. For example, the other causes may be quality defects that occurred during the battery cell manufacturing process.

[0090] Referring to the first graph (50), it can be seen that the accumulated change tends to increase as the cycle progresses. Here, the increasing trend may include a result where the accumulated change increases compared to the first cycle, even if the accumulated change decreases in some cycles.

[0091] Referring to the second graph (52) and the third graph (54), it can be seen that the accumulated change tends to decrease as the cycle progresses. Here, the decreasing trend may include a result where the accumulated change decreases compared to the first cycle, even if the accumulated change increases in some cycles.

[0092] Referring to graphs (50, 52, 54), the battery diagnostic device (10) can diagnose a battery cell whose cumulative change amount according to cycle tends to increase as an abnormal battery cell.

[0093] FIG. 6 is a flowchart showing an operation method of a battery diagnostic device (10) for diagnosing an abnormal battery cell according to an embodiment disclosed in this document.

[0094] Referring to FIG. 6, in operation 600, the sensor (100) can obtain voltage data of the battery units (121, 122, 123) of the electronic device (12). The sensor (100) can obtain voltage data of the battery units (121, 122, 123) at each designated cycle. In one embodiment, the sensor (100) may not be included in the battery diagnosis device (10) when operations performed in the battery diagnosis device (10) are performed in a server or a charger. When the sensor (100) is not included in the battery diagnosis device (10), the battery diagnosis device (10) can obtain status values ​​for the battery units (121, 122, 123) through the communication circuit (106).

[0095] In operation 602, the processor (104) may calculate a voltage change (dV) for each of the battery cells. The processor (104) may calculate the voltage change for each of the battery cells based on voltage data for each of the battery cells. The processor (104) may calculate the voltage change based on voltage data in a rest period after discharging. The processor (104) may calculate the voltage change based on voltage data in a designated time period during the rest period.

[0096] The processor (104) can calculate the voltage change amount for each battery cell for each specified cycle. The processor (104) can calculate the voltage change amount for each battery cell in the rest period after discharge for each specified cycle.

[0097] In operation 604, the processor (104) may calculate an accumulated change amount by accumulating voltage changes for each of the battery cells. The processor (104) may calculate an accumulated change amount by accumulating voltage changes obtained according to a specified cycle for each of the battery cells.

[0098] In operation 606, the processor (104) can diagnose whether the battery cell is abnormal based on the accumulated change amount. The processor (104) can diagnose whether the battery cell is abnormal based on whether the accumulated change amount tends to increase.

[0099] In operation 608, the processor (104) may diagnose a battery cell with an increasing cumulative change amount as an abnormal battery cell. The processor (104) may diagnose a battery cell with an cumulative change amount exceeding a threshold value as an abnormal battery cell.

[0100] In operation 610, the processor (104) can diagnose a battery cell whose accumulated change amount tends to decrease as a normal battery cell. The processor (104) can diagnose a battery cell whose accumulated change amount is below a threshold value as a normal battery cell.

[0101] FIG. 7 is a flowchart illustrating an operation method of a battery diagnostic device (10) for diagnosing an abnormal battery unit according to an embodiment disclosed in this document.

[0102] Referring to FIG. 7, in operation 700, the sensor (100) may obtain voltage data of the battery units (121, 122, 123) of the electronic device (12). The sensor (100) may obtain voltage data of the battery units (121, 122, 123) at each designated cycle. In one embodiment, the sensor (100) may not be included in the battery diagnosis device (10) when operations performed in the battery diagnosis device (10) are performed in a server or a charger. When the sensor (100) is not included in the battery diagnosis device (10), the battery diagnosis device (10) may obtain status values ​​for the battery units (121, 122, 123) through the communication circuit (106).

[0103] In operation 702, the processor (104) may calculate a voltage change (dV) for each of the battery cells. The processor (104) may calculate the voltage change for each of the battery cells based on voltage data for each of the battery cells. The processor (104) may calculate the voltage change based on voltage data in a rest period after discharging. The processor (104) may calculate the voltage change based on voltage data in a designated time period during the rest period.

[0104] The processor (104) can calculate the voltage change amount for each battery cell for each specified cycle. The processor (104) can calculate the voltage change amount for each battery cell in the rest period after discharge for each specified cycle.

[0105] In operation 704, the processor (104) may calculate a Z-value (Z-score) based on the voltage change amount. The processor (104) may convert the voltage change amount into a Z-value for each battery cell.

[0106] In one embodiment, the processor (104) may convert the voltage change for each battery cell in each battery unit into a Z value. The processor (104) may calculate the Z value for each battery cell included in the same battery unit.

[0107] In operation 706, the processor (104) may calculate an accumulated change amount by accumulating voltage changes for each of the battery cells. The processor (104) may calculate an accumulated change amount by accumulating voltage changes obtained according to a specified cycle for each of the battery cells.

[0108] In one embodiment, the processor (104) may calculate an accumulated change amount by accumulating the Z value for each of the battery cells. The processor (104) may calculate an accumulated change amount by accumulating the Z value based on the voltage change amount obtained according to a specified cycle for each of the battery cells.

[0109] In one embodiment, the processor (104) can calculate the cumulative change amount for each battery unit. The processor (104) can calculate the cumulative change amount based on the converted Z value for each battery unit. The processor (104) can calculate the cumulative change amount based on the converted Z value according to a cycle specified for each battery unit.

[0110] In operation 708, the processor (104) can diagnose whether the battery unit is abnormal based on the accumulated change amount. The processor (104) can detect an abnormal battery unit based on the accumulated change amount. The processor (104) can diagnose whether the battery unit is abnormal based on whether the accumulated change amount tends to increase.

[0111] In operation 710, the processor (104) may diagnose a battery unit whose accumulated change amount tends to increase as an abnormal battery unit. The processor (104) may diagnose a battery unit whose accumulated change amount exceeds a threshold value as an abnormal battery unit.

[0112] In operation 712, the processor (104) may diagnose a battery unit whose accumulated change amount tends to decrease as a normal battery unit. The processor (104) may diagnose a battery unit whose accumulated change amount is below a threshold value as a normal battery unit.

[0113] The operations performed in the battery diagnostic device (10) described above are described on the assumption that they are performed in the BMS within the vehicle, but they can also be performed in an external server, charger, etc.

[0114] The terms "include," "comprise," or "have" used herein, unless otherwise specifically stated, imply that the corresponding component may be included, and therefore should be interpreted to include other components rather than to exclude 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 pertain, unless otherwise defined. Commonly used terms, such as terms defined in dictionaries, should be interpreted to be consistent with their contextual meaning in the relevant art, and shall not be interpreted in an idealized or overly formal sense, unless explicitly defined in this document.

[0115] The above description is merely an example of the technical idea disclosed in this document, and those skilled in the art to which the embodiments disclosed in this document pertain may make various modifications and variations without departing from the essential characteristics of the embodiments disclosed in this document. Therefore, the embodiments disclosed in this document are not intended to limit the technical idea of ​​the embodiments disclosed in this document, but to explain it, and the scope of the technical idea disclosed in this document is not limited by these embodiments. The scope of protection of the technical idea disclosed in this document should be interpreted by the claims below, and all technical ideas within a scope equivalent thereto should be interpreted as being included in the scope of rights of this document.

Claims

1. A sensor that obtains voltage data for each battery cell; and Based on the voltage data, the voltage change (dV), which is the difference between the voltage values ​​at any two points in time for each of the battery cells, is calculated, The accumulated change amount is calculated based on the above voltage change amount, A processor that diagnoses whether the battery cells are abnormal based on the accumulated change amount, Battery diagnostic device.

2. In claim 1, The above processor, Based on the average and standard deviation of the voltage changes for the above battery cells, a Z-score that standardizes the voltage changes is calculated, Calculating the cumulative change amount based on the above Z value, Battery diagnostic device.

3. In claim 2, The above average and standard deviation are the average and standard deviation of the voltage changes per battery unit including at least some of the entire battery cells, The above processor, Calculate the Z value for each battery unit, The accumulated change amount is calculated based on the above Z value, Diagnosing whether the battery unit is abnormal based on the above accumulated change amount, Battery diagnostic device.

4. In claim 1, The above two arbitrary points in time are two arbitrary points in the rest period after discharge. Battery diagnostic device.

5. In claim 1, The above processor, A battery cell showing an increasing trend in the above cumulative change amount is diagnosed as an abnormal battery cell. Battery diagnostic device.

6. In claim 1, Further comprising a communication circuit for transmitting the diagnosis results to the user terminal, Battery diagnostic device.

7. The operation of obtaining voltage data for each battery cell; An operation of calculating a voltage change (dV), which is the difference between voltage values ​​at any two points in time for each of the battery cells, based on the voltage data; An operation for calculating an accumulated change amount based on the above voltage change amount; and An operation for diagnosing whether the battery cells are abnormal based on the above accumulated change amount. including, Method of operation of a battery diagnostic device.

8. In claim 7, Further comprising an operation of calculating a Z-score that standardizes the voltage changes based on the average and standard deviation of the voltage changes for the battery cells, The operation of calculating the above cumulative change amount is: Calculating the cumulative change amount based on the above Z value, How it works.

9. In claim 8, The above average and standard deviation are the average and standard deviation of the voltage changes per battery unit including at least some of the entire battery cells, The operation of calculating the above Z value is: Calculate the Z value for each battery unit, The above diagnostic action is, Diagnosing whether the battery unit is abnormal based on the above accumulated change amount, How it works.

10. In claim 7, The above two arbitrary points in time are two arbitrary points in the rest period after discharge. How it works.

11. In claim 7, The above diagnostic action is, A battery unit showing an increasing trend in the above cumulative change amount is diagnosed as an abnormal battery unit. How it works.

12. In claim 7, Further comprising an action of transmitting the diagnosis result to the user terminal, How it works.

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