Battery diagnosis device and method therefor

Abstract

A battery diagnosis device according to an embodiment of the present document comprises: a memory in which one or more instructions are stored; and a processor for executing the one or more instructions, wherein the processor may acquire an equivalent cycle of a battery on the basis of the battery being discharged for a first designated duration, and predict the lifespan of the battery when the battery is operated in a designated mode, on the basis of at least one of first discharge energy used until the battery is degraded by a designated ratio, second discharge energy usable by the battery for a second designated duration, the equivalent cycle, or any combination thereof.

Description

Battery diagnostic device and method thereof

[0001] Cross-citation with related applications

[0002] This application claims the benefit of priority from Republic of Korea Patent Application No. 10-2024-0121713, filed September 6, 2024, the entire contents of which are incorporated herein by reference.

[0003] Technology field

[0004] The embodiments disclosed in this document relate to a battery diagnostic device and 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] Batteries can operate in various modes. Among these modes, frequency regulation mode (FR mode) is used to stabilize the frequency. It can be used to supply power when demand is high and charge the battery when demand is low. In this case, the actual energy consumption of the battery is not linear due to frequency fluctuations, making it difficult to predict battery lifespan. Therefore, various studies are being conducted to predict battery lifespan even when operated in frequency regulation mode.

[0007] According to embodiments disclosed in this document, a battery diagnostic device and method for accurately predicting the life of a battery in an environment where the SOC of the battery continuously changes are provided.

[0008] According to embodiments disclosed in this document, a battery diagnostic device and method for predicting the life of a battery by reflecting the characteristics of the frequency regulation mode while the battery is operated in the frequency regulation mode are provided.

[0009] According to embodiments disclosed in this document, a battery diagnostic device and method for accurately predicting the life of a battery by analyzing a pattern identified in a frequency control mode and predicting the life of the battery are provided.

[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 diagnostic device includes a memory having one or more instructions stored therein, and a processor executing the one or more instructions, wherein the processor is capable of obtaining an equivalent cycle of the battery based on the battery being discharged for a first designated duration, and predicting the life of the battery when the battery is operated in a designated mode based on at least one of a first discharge energy used until the battery is deteriorated by a designated rate, a second discharge energy usable by the battery for a second designated duration, the equivalent cycle, or any combination thereof.

[0012] In one embodiment, the processor can predict the life of the battery based on a ratio of the first discharge energy to the second discharge energy.

[0013] In one embodiment, the processor may obtain the first discharge energy based on at least one of a state of charge (SOC) of the battery, a temperature of the battery, a constant power (CP) of the battery, an energy of the battery, or any combination thereof.

[0014] In one embodiment, the processor may obtain the equivalent cycle based on data associated with the SOC of the battery identified while the battery is discharged in the designated mode.

[0015] In one embodiment, the specified mode may include a frequency regulation (FR) mode.

[0016] In one embodiment, the processor may obtain a weight for predicting the life of the battery based on the equivalent cycle associated with the power used when charging or discharging the battery.

[0017] In one embodiment, the processor can predict the lifespan based on applying the weight to the second discharge energy.

[0018] In one embodiment, the processor can obtain the second discharge energy using a specified calculation formula.

[0019] A battery diagnosis method according to one embodiment of the present document may include an operation of obtaining, by a processor, an equivalent cycle of the battery based on the battery being discharged for a first designated duration, an operation of predicting, by the processor, a lifespan of the battery when the battery is operated in a designated mode based on at least one of a first discharge energy used until the battery is degraded by a designated rate, a second discharge energy usable by the battery for a second designated duration, the equivalent cycle, or any combination thereof.

[0020] The battery diagnosis method according to one embodiment may include an operation of predicting the life of the battery based on a ratio of the first discharge energy to the second discharge energy by the processor.

[0021] The battery diagnosis method according to one embodiment may include an operation of obtaining the first discharge energy based on at least one of the state of charge (SOC) of the battery, the temperature of the battery, the constant power (CP) of the battery, the energy of the battery, or any combination thereof, by the processor.

[0022] The battery diagnosis method according to one embodiment may include an operation of obtaining, by the processor, the equivalent cycle based on data associated with an SOC of the battery identified while the battery is discharged in the designated mode.

[0023] In one embodiment, the specified mode may include a frequency regulation (FR) mode.

[0024] The battery diagnosis method according to one embodiment may include an operation of predicting the life of the battery based on the equivalent cycle associated with the power used when charging or discharging the battery by the processor.

[0025] The battery diagnosis method according to one embodiment may include an operation of predicting the lifespan based on the weight applied to the second discharge energy by the processor.

[0026] This technology can accurately predict the life of a battery in an environment where the battery's SOC continuously changes.

[0027] Additionally, the present technology can predict the life of a battery by reflecting the characteristics of the frequency regulation mode while the battery is operated in the frequency regulation mode.

[0028] In addition, the present technology can accurately predict the life of a battery by analyzing patterns identified in the frequency control mode to predict the life of the battery.

[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. 3a illustrates an example of a graph related to the change in SOC of a battery over time in one embodiment of the present document.

[0033] FIG. 3b illustrates an example of a graph related to the change in SOC of a battery over time in one embodiment of the present document.

[0034] FIG. 4a illustrates an example of a graph related to the change in SOC of a battery over time in one embodiment of the present document.

[0035] FIG. 4b illustrates an example of a graph related to equivalent cycles of a battery over time in one embodiment of the present document.

[0036] FIG. 4c illustrates an example of a graph related to the change in SOC of a battery over time in one embodiment of the present document.

[0037] FIG. 5 illustrates an example of a flowchart related to a battery diagnosis method according to one embodiment of the present document.

[0038] FIG. 6 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.

[0039] 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.

[0040] 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.

[0041] 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.

[0042] 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).

[0043] 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.

[0044] 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.

[0045] 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.

[0046] 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.

[0047] Hereinafter, embodiments of the present document will be described in detail with reference to FIGS. 1 to 6.

[0048] 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.

[0049] 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).

[0050] 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).

[0051] 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. 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.

[0052] According to one embodiment, a plurality of battery units (12) 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).

[0053] 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 battery cells (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.

[0054] According to one embodiment, the sensor unit (14) can provide information on each of the plurality of battery units (12) to the battery management system (20).

[0055] 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).

[0056] According to one embodiment, a battery management system (BMS) (20) may monitor voltage, current, temperature, etc. of the battery pack (1) to control or manage the battery pack (1) to prevent overcharge, overdischarge, etc. 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 input values. 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 (12) to monitor the status of each of the plurality of battery units (12) and control ON / OFF of a relay or a contactor, etc.

[0057] 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.

[0058] The upper controller (2) can transmit control signals for multiple battery units (12) to the battery management system (20). Accordingly, the battery management system (20) can be controlled for operation based on signals received from the upper controller (2).

[0059] 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). For convenience of explanation, the following description will be made on the assumption 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 an in-vehicle BMS (battery management system), as well as by various devices such as a server, a cloud, a charger, or a charger / discharger.

[0060] 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.

[0061] 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) and the memory (220) may be electronically and / or operably coupled with each other by an electronic device including a communication bus.

[0062] 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.

[0063] Although the hardware is 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-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.

[0064] A battery diagnostic device (200) according to one embodiment may include hardware for processing data based on one or more instructions. The hardware for processing data may include a processor (210).

[0065] For example, hardware for processing 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). The processor (210) may have a single-core processor structure, or a multi-core processor structure including dual cores, quad cores, hexa cores, or octa cores.

[0066] The memory (220) of the battery diagnostic device (200) according to one embodiment may include a hardware component for storing data and / or instructions input to and / or output from the processor (210) of the battery diagnostic device (200).

[0067] For example, the memory (220) may include volatile memory including random-access memory (RAM), and / or non-volatile memory including read-only memory (ROM).

[0068] 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.

[0069] 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.

[0070] For example, within the memory (220) of the battery diagnostic device (200), one or more instructions (or commands) indicating operations and / or actions to be performed on data by the processor (210) of the battery diagnostic device (200) may be stored. A set of one or more instructions 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 within the battery diagnostic device (200) may mean that one or more instructions provided in the form of an application are stored within the memory (220), and that one or more applications are 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).

[0071] The processor (210) of the battery diagnostic device (200) according to one embodiment may obtain an equivalent cycle of the battery based on the battery being discharged for a first designated period of time. For example, the equivalent cycle of the battery may be related to at least one of energy consumed while the battery is being discharged, a change in the state of charge (SOC) while the battery is being discharged, or any combination thereof.

[0072] For example, the first designated period may include 24 hours. However, embodiments of the present document are not limited to the above. For example, the first designated period may include 24 hours, one week, 30 days, or any combination thereof, and the first designated period may include a shorter period than the second designated period described below.

[0073] The processor (210) of the battery diagnostic device (200) according to one embodiment can identify at least one of a first discharge energy used until the battery deteriorates by a specified percentage, a second discharge energy usable by the battery for a second specified period of time, an equivalent cycle, or any combination thereof.

[0074] For example, the processor (210) may obtain the first discharge energy based on at least one of the SOC of the battery, the temperature of the battery, the CP (constant power) of the battery, the energy of the battery, or any combination thereof.

[0075] For example, the processor (210) may obtain a second discharge energy usable for a second designated period of time using a designated calculation formula. For example, the second designated period of time may include a period longer than the first designated period of time. For example, the second designated period of time may include approximately one year. However, the embodiments of the present document are not limited to the above.

[0076] For example, the processor (210) can obtain an equivalent cycle based on data related to the SOC of the battery identified while the battery is discharged in a specified mode.

[0077] For example, CP can represent a value for charging or discharging a battery at a specified power. For example, if a CP is set to 0.25 and a battery is charged, the battery can be charged at a rate of 25% per hour. For example, if a CP is set to 0.25 and a battery is discharged, the battery can be discharged at a rate of 25% per hour. Therefore, if CP is 0.25, the battery can be fully charged in 4 hours and fully discharged in 4 hours. In this case, the battery can be fully charged and fully discharged three times per day, so the equivalent cycle of the battery can be 3 days.

[0078] For example, the processor (210) can predict the life of the battery when the battery is operated in a specified mode based on at least one of a first discharge energy used until the battery degrades by a specified percentage, a second discharge energy usable by the battery for a second specified period of time, an equivalent cycle, or any combination thereof.

[0079] For example, the specified ratio may include about 90%. However, the embodiments of the present document are not limited to the above.

[0080] For example, the processor (210) can predict the life of the battery when the battery is operated in a specified mode based on the first discharge energy, the second discharge energy, and the equivalent cycle.

[0081] For example, the specified mode may include a frequency regulation (FR) mode.

[0082] For example, a frequency control mode may include a mode that detects changes in frequency and adjusts charging or discharging as needed to maintain the frequency.

[0083] For example, the processor (210) can predict the life of the battery based on the ratio of the first discharge energy to the second discharge energy. For example, the ratio of the first discharge energy to the second discharge energy can be expressed as 'first discharge energy / second discharge energy'.

[0084] For example, the processor (210) may obtain a weight for predicting the life of a battery based on an equivalent cycle associated with the power used when charging or discharging the battery. As described above, the equivalent cycle may be associated with the power used when charging or discharging the battery, i.e., CP. For example, the weight may include a value corresponding to the equivalent cycle. For example, if the equivalent cycle is 3, the weight may be 3. However, embodiments of the present document are not limited to the above.

[0085] For example, the processor (210) can predict the life of the battery based on the weight applied to the second discharge energy for predicting the life of the battery.

[0086] Specifically, the processor (210) can predict the life of the battery using the mathematical expression 1 below.

[0087]

[0088] Referring to Equation 1, the first discharge energy may include the discharge energy of the battery that is used until the battery is degraded by a specified percentage (e.g., approximately 90%). The second discharge energy may include the discharge energy of the battery that can be used for a second specified period (e.g., approximately 1 year). The weight may include a value substantially equal to the equivalent cycle.

[0089] As described above, the battery diagnostic device (200) according to one embodiment can obtain an equivalent cycle of the battery and predict the life of the battery based on a weight obtained using the equivalent cycle. Specifically, the battery diagnostic device (200) can predict the life of the battery using the first discharge energy of the battery, the second discharge energy of the battery, and the equivalent cycle.

[0090] As described above, the battery diagnostic device (200) can accurately predict the life of the battery even when the battery is operated in a designated mode (e.g., frequency control mode) by predicting the life of the battery using the first discharge energy, the second discharge energy, and the equivalent cycle of the battery.

[0091] FIG. 3a illustrates an example of a graph related to the change in SOC of a battery over time in one embodiment of the present document.

[0092] Referring to FIG. 3, the processor (210) of the battery diagnostic device (200) according to one embodiment can obtain data related to the SOC of the battery while the battery is operated in a mode different from the designated mode (e.g., frequency control mode) described in FIG. 1.

[0093] For example, a mode different from the specified mode may include a PS (power saving) mode.

[0094] Looking at the graph (310) of Fig. 3a, it can be seen that in PS mode, the change in the SOC of the battery is relatively linear.

[0095] In the graph (310) illustrated in Fig. 3a, the lowest SOC value may be about 5, and the highest SOC value may be about 95. In addition, the graph (310) may indicate the SOC change amount of the battery when CP is 0.25 and the battery is operated in PS mode.

[0096] FIG. 3b illustrates an example of a graph related to the change in SOC of a battery over time in one embodiment of the present document.

[0097] Referring to FIG. 3b, the processor (210) of the battery diagnostic device (200) according to one embodiment can calculate the cycle for a reference time (e.g., about 24 hours) using the amount of change in the SOC of the battery over time.

[0098] The graph (320) of FIG. 3b may include a graph showing the change in SOC of the battery while charging and / or discharging the battery by setting CP to 0.25.

[0099] Referring to graph (320), it can be seen that the battery is fully charged and fully discharged in multiple time intervals (321, 322, 323).

[0100] For example, the first time interval (321), the second time interval (322), and the third time interval (323) may be intervals having substantially the same length.

[0101] For example, if CP is set to 0.25, it takes about 4 hours to fully charge the battery and about 4 hours to fully discharge the battery, so the first time interval (321), the second time interval (322), and the third time interval (323) can each be about 8 hours.

[0102] FIG. 4a illustrates an example of a graph related to the change in SOC of a battery over time in one embodiment of the present document.

[0103] Referring to FIG. 4a, the processor (210) of the battery diagnostic device (200) according to one embodiment can obtain data related to the SOC of the battery while the battery is operated in a specified mode (e.g., frequency control mode).

[0104] Looking at the graph (410) of Fig. 4a, it can be seen that in the frequency control mode, the SOC change of the battery is irregular.

[0105] In the graph (410) illustrated in Fig. 4a, the lowest SOC value may be about 5, and the highest SOC value may be about 95. In addition, the graph (410) may indicate the SOC change amount of the battery that appears when CP is set to 0.25 and the battery is operated in frequency control mode.

[0106] FIG. 4b illustrates an example of a graph related to equivalent cycles of a battery over time in one embodiment of the present document.

[0107] Referring to FIG. 4B, the processor (210) of the battery diagnostic device (200) according to one embodiment can obtain the daily equivalent cycle of the battery. For example, the processor (210) of the battery diagnostic device (200) can obtain the equivalent cycle of the battery that changes over time.

[0108] The graph (420) may include an example showing equivalent cycles obtained over time.

[0109] In one embodiment, the processor (210) may obtain weights used when predicting the lifespan of a battery using data related to equivalent cycles including a graph (420). For example, the weights may have values ​​corresponding to equivalent cycles.

[0110] FIG. 4c illustrates an example of a graph related to the change in SOC of a battery over time in one embodiment of the present document.

[0111] Referring to FIG. 4c, the processor (210) of the battery diagnostic device (200) according to one embodiment can calculate the cycle for a reference time (e.g., about 24 hours) using the amount of change in the SOC of the battery over time.

[0112] The graph (430) of FIG. 4c may include a graph showing the change in SOC of the battery while charging and / or discharging the battery by setting CP to 0.25.

[0113] Referring to graph (430), it can be seen that the battery is fully charged and fully discharged in multiple time intervals (431, 432, 433).

[0114] For example, the fourth time interval (431), the fifth time interval (432), and the sixth time interval (433) may be intervals having substantially the same length.

[0115] For example, if CP is set to 0.25, it takes about 4 hours to fully charge the battery and about 4 hours to fully discharge the battery, so the fourth time interval (431), the fifth time interval (432), and the sixth time interval (433) can each be about 8 hours.

[0116] According to an embodiment, the processor (210) of the battery diagnosis device (200) may obtain an equivalent cycle based on the amount of change in the SOC of the battery. For example, the processor (210) may identify the amount of change in the SOC of the battery based on charging and / or discharging the battery using a specified value. For example, the processor (210) may obtain an equivalent cycle based on the identified amount of change in the SOC of the battery. Specifically, the processor (210) may obtain an equivalent cycle using the time during which the SOC of the battery changes from 0 to 100. In the example of FIG. 4C, the battery is fully charged and fully discharged three times during a reference time (approximately 24 hours), in which case the equivalent cycle of the battery may be 3. Based on the fact that the equivalent cycle of the battery is 3, the processor (210) may obtain a weight corresponding to 3 corresponding to the equivalent cycle of the battery.

[0117] The processor (210) of the battery diagnosis device (200) according to one embodiment can predict the life of the battery based on the weights obtained using the equivalent cycle of the battery.

[0118] FIG. 5 illustrates an example of a flowchart related to a battery diagnosis method according to one embodiment of the present document.

[0119] In the following, it is assumed that the battery diagnostic device (200) of FIG. 2 performs the process of FIG. 5. In addition, in the description of FIG. 5, 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).

[0120] At least one of the operations of FIG. 5 may be performed by the battery diagnostic device (200) of FIG. 2. At least one of the operations of FIG. 5 may be controlled by the processor (210) of FIG. 2. Each of the operations of FIG. 5 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.

[0121] Referring to FIG. 5, a battery diagnosis method according to an embodiment may include, in operation S501, an operation of obtaining an equivalent cycle of the battery based on the battery being discharged for a first specified period of time.

[0122] For example, a battery diagnostic method may include obtaining an equivalent cycle based on data related to a SOC of a battery identified while the battery is discharged in a specified mode.

[0123] A battery diagnosis method according to one embodiment may include, in operation S503, an operation of predicting the life of the battery when the battery is operated in a specified mode based on at least one of a first discharge energy used until the battery deteriorates by a specified percentage, a second discharge energy usable by the battery for a second specified period of time, an equivalent cycle, or any combination thereof.

[0124] For example, a battery diagnostic method may include an operation for predicting the life of the battery based on a ratio of first discharge energy to second discharge energy.

[0125] For example, the battery diagnosis method may include an operation of obtaining a first discharge energy based on at least one of the SOC of the battery, the temperature of the battery, the CP of the battery, the energy of the battery, or any combination thereof.

[0126] For example, a battery diagnosis method may include an operation of obtaining a second discharge energy using a specified calculation formula.

[0127] For example, a specified mode may include a frequency control mode.

[0128] For example, a battery diagnostic method may include obtaining weights for predicting the life of the battery based on equivalent cycles associated with power used when charging or discharging the battery.

[0129] For example, a battery diagnostic method may include an operation for predicting the life of the battery based on the application of a weight to the second discharge energy.

[0130] FIG. 6 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.

[0131] Referring to FIG. 6, a computing system (1100) according to an embodiment disclosed in this document may include an MCU (1110), a memory (1120), an input / output I / F (1130), and a communication I / F (1140).

[0132] The MCU (1110) may be a processor that executes various programs (e.g., 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, etc.) stored in the memory (1120), 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 5.

[0133] 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.

[0134] 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.

[0135] 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).

[0136] 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).

[0137] 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.

[0138] 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.

[0139] 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.

[0140] 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 one or more instructions are stored; and A processor comprising one or more of the above instructions, The above processor, Obtaining an equivalent cycle of the battery based on the battery being discharged for a first designated duration, A battery diagnostic device configured to predict the life of the battery when the battery is operated in a designated mode based on at least one of a first discharge energy used until the battery deteriorates by a designated percentage, a second discharge energy usable by the battery for a second designated period of time, the equivalent cycle, or any combination thereof.

2. In paragraph 1, The above processor, A battery diagnostic device configured to predict the life of the battery based on a ratio of the first discharge energy to the second discharge energy.

3. In paragraph 1, The above processor, A battery diagnostic device configured to obtain the first discharge energy based on at least one of the state of charge (SOC) of the battery, the temperature of the battery, the constant power (CP) of the battery, the energy of the battery, or any combination thereof.

4. In paragraph 1, The above processor, A battery diagnostic device configured to obtain the equivalent cycle based on data associated with the SOC of the battery identified while the battery is discharged in the specified mode.

5. In paragraph 4, The above specified mode is, A battery diagnostic device comprising a frequency regulation (FR) mode.

6. In paragraph 1, The above processor, A battery diagnostic device configured to obtain a weight for predicting the life of the battery based on the equivalent cycle associated with the power used when charging or discharging the battery.

7. In paragraph 6, The above processor, A battery diagnostic device configured to predict the lifespan based on the application of the above weight to the second discharge energy.

8. In paragraph 1, The above processor, A battery diagnostic device configured to obtain the second discharge energy using a specified calculation formula.

9. An operation of obtaining an equivalent cycle of the battery based on the battery being discharged for a first designated duration by the processor; A battery diagnostic method comprising: predicting the life of the battery when the battery is operated in a designated mode based on at least one of a first discharge energy used by the processor until the battery deteriorates by a designated percentage, a second discharge energy usable by the battery for a second designated period of time, the equivalent cycle, or any combination thereof.

10. In paragraph 9, The above battery diagnosis method is, A battery diagnosis method, comprising an operation of predicting the life of the battery based on a ratio of the first discharge energy to the second discharge energy by the processor.

11. In paragraph 9, The above battery diagnosis method is, A battery diagnosis method, comprising an operation of obtaining the first discharge energy based on at least one of the state of charge (SOC) of the battery, the temperature of the battery, the constant power (CP) of the battery, the energy of the battery, or any combination thereof, by the processor.

12. In paragraph 9, The above battery diagnosis method is, A battery diagnosis method, comprising an operation of obtaining the equivalent cycle based on data associated with the SOC of the battery identified by the processor while the battery is discharged in the designated mode.

13. In paragraph 12, The above specified mode is, A battery diagnostic method comprising a frequency regulation (FR) mode.

14. In paragraph 9, The above battery diagnosis method is, A battery diagnosis method, comprising an operation of predicting the life of the battery based on the equivalent cycle associated with the power used when charging or discharging the battery by the processor.

15. In paragraph 14, The above battery diagnosis method is, A battery diagnosis method, comprising an operation of predicting the lifespan based on applying the weight to the second discharge energy by the processor.

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