Battery management device and method of operation thereof

Abstract

A battery management device according to one embodiment disclosed in this document may include a measurement unit that measures a current and voltage of a battery, and a controller that generates voltage estimation information by estimating a voltage of the battery during a second period after the first period based on first current information related to the current of the battery measured during a first period and first voltage information related to the voltage of the battery measured during the first period, and determines a state of the battery based on the voltage estimation information and second voltage information related to the voltage of the battery measured during the second period.

Description

[Technical field]

[0001] The present invention claims the benefit of priority based on Korean Patent Application No. 10-2022-0097615, filed on August 4, 2022, and all contents disclosed in the documents of the Korean patent application are incorporated as part of this specification. SUMMARY OF THE DISCLOSURE The embodiments disclosed herein relate to a battery management apparatus and method of operation. [Background technology]

[0002] In recent years, research and development into secondary batteries has been actively conducted. Here, secondary batteries are batteries that can be charged and discharged, and include both conventional Ni / Cd batteries, Ni / MH batteries, and the more recent lithium-ion batteries. Among secondary batteries, lithium-ion batteries have the advantage of having a much higher energy density than conventional Ni / Cd batteries, Ni / MH batteries, and the like. In addition, lithium-ion batteries can be manufactured to be small and lightweight, so they are used as power sources for mobile devices, and in recent years their range of use has been expanded to include power sources for electric vehicles, drawing attention as a next-generation energy storage medium.

[0003] Defects in ESS (Energy Storage System) batteries can lead to serious accidents such as fires, so technology to detect battery defects is required. Although various technologies for detecting battery defects have been developed, most of them simply compare the deviations in voltage, current, or temperature between battery cells or the voltage drop of a specific battery cell, so a more accurate method of detecting battery defects is required. In other words, there is a need for technology to detect battery cells that behave abnormally depending on the battery state. Summary of the Invention [Problem to be solved by the invention]

[0004] One objective of the embodiments disclosed herein is to provide a battery management device and an operating method thereof that can detect specific abnormal behavior that cannot be detected due to deviations between battery cells.

[0005] One objective of the embodiments disclosed in this document is to provide a battery management device and an operating method thereof that can detect battery abnormalities by estimating subsequent voltage information based on voltage information and current information over a certain period of time.

[0006] 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 following description. [Means for solving the problem]

[0007] A battery management device according to one embodiment disclosed in this document may include a measurement unit that measures a current and voltage of a battery, and a controller that generates voltage estimation information by estimating a voltage of the battery during a second period after the first period based on first current information related to the current of the battery measured during a first period and first voltage information related to the voltage of the battery measured during the first period, and determines a state of the battery based on the voltage estimation information and second voltage information related to the voltage of the battery measured during the second period.

[0008] In one embodiment, the controller can determine that an abnormality has occurred in the battery if a difference between the voltage estimation information and the second voltage information is equal to or greater than a threshold.

[0009] In one embodiment, the controller may generate the voltage estimation information based on second current information related to a current of the battery measured during the second time period and initial voltage information of the battery for the second time period.

[0010] In one embodiment, the controller can learn the first current information and the first voltage information using a Long Short-Term Memory (LSTM) algorithm.

[0011] In one embodiment, the controller may generate the voltage estimation information based on the learned algorithm. In one embodiment, the controller can update the algorithm based on the second voltage information and second current information related to a current flow through the battery measured during the second time period.

[0012] In one embodiment, the device further includes a storage unit, and the storage unit is capable of storing the learned algorithm for each of the first periods. In one embodiment, the controller may generate, if a replaced battery is present, a voltage estimate of the replaced battery during the second time period based on the stored algorithm.

[0013] In one embodiment, the controller is capable of generating the voltage estimate information for batteries having a range of State of Health (SOH).

[0014] In one embodiment, the controller can modify the algorithm that generates the voltage estimation information if the battery's SOH falls outside the certain range.

[0015] In one embodiment, the controller is capable of updating an algorithm that generates the voltage estimation information every first period of time. In one embodiment, the controller may learn an algorithm regarding a relationship between the first current information and the first voltage information, and generate the voltage estimation information based on the learned algorithm.

[0016] An operating method of a battery management device according to one embodiment disclosed herein may include the steps of measuring a current and voltage of a battery, estimating a voltage of the battery for a second period after the first period based on the first current information related to the current of the battery measured during a first period and first voltage information related to the voltage of the battery measured during the first period to generate voltage estimation information, and determining a state of the battery based on the voltage estimation information and second voltage information related to the voltage of the battery measured during the second period.

[0017] In one embodiment, the step of determining the state of the battery based on the voltage estimation information and second voltage information regarding the voltage of the battery measured during the second period can determine that an abnormality has occurred in the battery if a difference between the voltage estimation information and the second voltage information is equal to or greater than a threshold value.

[0018] In one embodiment, the step of estimating the voltage of the battery during a second period after the first period based on the first current information related to the current of the battery measured during the first period and first voltage information related to the voltage of the battery measured during the first period to generate the voltage estimation information may include a step of learning the first current information and the first voltage information using an algorithm, and a step of generating the voltage estimation information based on the learned algorithm.

[0019] In one embodiment, the method can further include updating the algorithm based on the second voltage information and second current information related to a current through the battery measured during the second time period. In one embodiment, the method may further include storing an algorithm for each of the first time periods.

[0020] In one embodiment, if a battery is replaced, the method may further include generating voltage estimation information for the replaced battery during the second time period based on the stored algorithm. Effect of the Invention

[0021] A battery management device and an operating method thereof according to an embodiment disclosed herein can detect specific abnormal behavior that cannot be detected by a simple comparison of voltage or current between battery cells.

[0022] A battery management device and an operating method thereof according to one embodiment disclosed herein can estimate voltage information for a second period based on first current information and voltage information, and compare the estimated voltage information with measured voltage information to determine the state of the battery.

[0023] The battery management device and operating method according to an embodiment disclosed herein can determine the state of the battery by learning an algorithm regarding the relationship between current information and voltage information of the battery during a specific period of time.

[0024] The battery management device and its operating method according to one embodiment disclosed in this document store the learned algorithm, and even when the battery is replaced, it can estimate voltage information using an algorithm suitable for the replaced battery and determine the status of the replaced battery.

[0025] A battery management device and an operating method thereof according to one embodiment disclosed herein can estimate voltage information for batteries with similar SOH using the same algorithm, and if the SOH changes over time, can learn a new algorithm to estimate voltage information for the battery. In addition, various other benefits may be provided by this document, either directly or indirectly. [Brief description of the drawings]

[0026] [Figure 1] FIG. 1 is a block diagram showing a configuration of a typical battery pack. [Diagram 2] FIG. 1 is a block diagram illustrating a battery management device according to one embodiment disclosed herein. [Diagram 3]FIG. 2 illustrates an example of a battery management device determining the state of a battery according to an embodiment disclosed herein. [Figure 4] FIG. 1 illustrates an example of an algorithm stored in a battery management device according to an embodiment disclosed herein. [Diagram 5] 1 is a flow chart illustrating a method of operation of a battery management device according to one embodiment disclosed herein. [Figure 6] 4 is a flowchart illustrating a method of operating a battery management device according to an embodiment disclosed herein. [Figure 7] 4 is a flowchart illustrating a method of operating a battery management device according to an embodiment disclosed herein. [Figure 8] FIG. 2 is a block diagram showing a hardware configuration of a computing system for performing an operation method of a battery management device according to an embodiment disclosed herein. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0027] Hereinafter, the embodiments disclosed in this document will be described in detail with reference to the exemplary drawings. When referring to components in each drawing, it should be noted that the same components are referred to by the same reference numerals as much as possible when they are displayed in other drawings. In addition, when describing the embodiments disclosed in this document, if a detailed description of related known configurations or functions is deemed to hinder understanding of the embodiments disclosed in this document, the detailed description will be omitted.

[0028] In describing the components of the embodiments disclosed in this document, terms such as 1, 2, A, B, (a), (b) may be used. Such terms are merely used to distinguish the components from other components, and do not limit the essence, order, or procedure of the components. 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 as defined in commonly used dictionaries should be interpreted as having a meaning consistent with the contextual meaning of the relevant art, and should not be interpreted in an ideal or overly formal sense unless expressly defined in this application.

[0029] FIG. 1 is a block diagram showing the configuration of a typical battery pack. Referring to FIG. 1, a battery control system including a battery pack 1 according to an embodiment of the present invention and a host controller 2 included in a host system is shown.

[0030] 1, the battery pack 1 includes a chargeable and dischargeable battery module 10 consisting of one or more battery cells, a switching unit 14 connected in series to the (+) terminal side or (-) terminal side of the battery module 10 for controlling the flow of charge and discharge current of the battery module 10, and a battery management system 20 that monitors the voltage, current, temperature, etc. of the battery pack 1 and controls and manages it to prevent overcharging and overdischarging, etc. In this case, the battery pack 1 may be provided with a plurality of battery modules 10, sensors 12, switching units 14, and battery management systems 20.

[0031] Here, the switching unit 14 is an element for controlling the flow of current for charging or discharging the multiple battery modules 10, and for example, at least one relay, electromagnetic contactor, etc. can be used depending on the specifications of the battery pack 1.

[0032] The battery management system (BMS) 20 is an interface that receives input of measured values ​​of the various parameters described above, and may include a plurality of terminals and a circuit connected to these terminals for processing the input values. The battery management system 20 may also control ON / OFF of the switching unit 14, for example, a relay or a contactor, and may be connected to the battery modules 10 to monitor the state of each battery module 10. According to an embodiment, the battery management system 20 may include the battery management device 100 of FIG. 2. According to another embodiment, the battery management system 20 may be another system different from the battery management device 100 of FIG. 2. That is, the battery management device 100 of FIG. 2 may be included in the battery pack 1, or may be configured as another device outside the battery pack 1.

[0033] The upper controller 2 can transmit a control signal for the battery module 10 to the battery management system 20. As a result, the operation of the battery management system 20 may be controlled based on the signal applied from the upper controller 2.

[0034] FIG. 2 is a block diagram illustrating a battery management device according to one embodiment disclosed herein. 2, a battery management device 100 according to an embodiment disclosed in the present document may include a measurement unit 110 and a controller 120. According to an embodiment, the battery management device 100 may be included in the battery management system 20 of Fig. 1, or may be another device different from the battery management system 20 of Fig. 1. According to an embodiment, the battery management device 100 may further include a memory unit 130.

[0035] The measurement unit 110 may measure the current and voltage of the battery. For example, the measurement unit 110 may measure first current information related to the current of the battery measured during a first period, and first voltage information related to the voltage of the battery measured during the first period. As another example, the measurement unit 110 may include a current sensor and a voltage sensor, and may measure the first current information and the first voltage information through the current sensor and the voltage sensor. As another example, the measurement unit 110 may measure current information and voltage information of each of a battery pack, a battery module, or a battery cell included in the battery. According to an embodiment, the first period may be, but is not limited to, one month. According to another embodiment, the first period may be a period during which the SOH of the battery does not change.

[0036] According to the embodiment, the measurement unit 110 may measure the first current information and the first voltage information for each first period. For example, if the first period is one month, the measurement unit 110 may measure the battery current information and the battery voltage information for the first month, and may measure the battery current information and the battery voltage information again for the next month. That is, the measurement unit 110 may repeatedly measure the first current information and the first voltage information.

[0037] The measurement unit 110 may measure second current information related to the current of the battery during a second period after the first period, and second voltage information related to the voltage of the battery during the second period. For example, the second period may be, but is not limited to, one day. As another example, the second period may be a period during which the controller 120, described later, estimates the voltage information of the battery.

[0038] According to the embodiment, the measurement unit 110 can measure the second current information and the second voltage information for each second period. For example, if the second period is one day, the measurement unit 110 can measure the second current information and the second voltage information for the first day, and can measure the second current information and the second voltage information again on the next day. That is, the measurement unit 110 can repeatedly measure the second current information and the second voltage information.

[0039] The controller 120 can estimate the voltage of the battery during a second time period after the first time period based on the first current information and the first voltage information to generate voltage estimation information.

[0040] The controller 120 may determine the state of the battery based on the estimated voltage estimation information and second voltage information related to the voltage of the battery measured during the second period. For example, the controller 120 may compare the generated voltage estimation information with the second voltage information, and may determine that an abnormality has occurred in the battery when a difference between the voltage estimation information and the second voltage information is equal to or greater than a threshold value. According to an embodiment, the controller 120 may determine that an abnormality has occurred in the battery based on at least one of an average of the difference between the voltage estimation information and the second voltage information, a difference accumulated during the second period, an absolute value of the difference, and a root mean square of the difference, but is not limited to the above-mentioned methods.

[0041] 3 is a diagram illustrating an example of a battery management device according to an embodiment disclosed herein determining a battery state. According to an embodiment, the example illustrated in FIG. 3 may be performed via the battery management device 100 of FIG.

[0042] 3, the measurement unit 110 may measure first current information and first voltage information 210. For example, the first period may be from day 1 to day N, and the measurement unit 110 may measure the current of the battery from day 1 to day N and the voltage of the battery from day 1 to day N.

[0043] Furthermore, the measurement unit 110 can measure second current information and initial voltage information for the second period 230, and can measure second voltage information 250. For example, the second period may be day N+1, and the measurement unit 110 can measure current information for day N+1 and voltage information for day N+1.

[0044] The controller 120 can generate voltage estimation information 240 based on the second current information and the initial voltage information for the second time period 230. For example, the controller 120 can estimate voltage information for day N+1 based on the current information for day N+1 and the initial voltage information for day N+1.

[0045] According to an embodiment, the controller 120 can learn (220) the first current information and the first voltage information (210) using a Long Short-Term Memory (LSTM) algorithm. For example, the controller 120 can learn (220) an algorithm regarding the relationship between the first current information and the first voltage information (210).

[0046] The controller 120 can generate voltage estimation information (240) based on the learned algorithm. For example, the controller 120 can input the current information for day N+1 and the initial voltage 230 for day N+1 to the learned algorithm, and can generate and output voltage information (240) for day N+1 estimated based on the algorithm.

[0047] According to an embodiment, the controller 120 can update the algorithm based on the second current information and the second voltage information. For example, the controller 120 can further consider the second current information and the second voltage information in addition to the first current information and the first voltage information to learn an algorithm regarding the relationship between the battery voltage information and the battery current information.

[0048] According to an embodiment, the controller 120 may update the algorithm based on the battery current information measured for each second period and the battery voltage information measured for each second period. For example, the controller 120 may learn and update the algorithm based on the battery current information from day 1 to day N+1 and the battery voltage information from day 1 to day N+1. As another example, the controller 120 may update the algorithm based on the battery current information on day N+1 and the battery voltage information on day N+1. According to an embodiment, the controller 120 may estimate the battery voltage information on day N+2 based on the updated algorithm to generate battery voltage estimation information on day N+2.

[0049] The controller 120 can determine the state of the battery based on the generated voltage estimation information (240) and second voltage information (250). For example, the controller 120 can determine the state of the battery by comparing the voltage estimation information (240) and the second voltage information (250). As another example, the controller 120 can determine that an abnormality has occurred in the battery if the difference between the voltage estimation information (240) and the second voltage information (250) is equal to or greater than a threshold value.

[0050] 2, the controller 120 can generate voltage estimation information for batteries having a certain range of SOH (State of Health). For example, if the SOH falls outside the certain range, the relationship between the battery current information and the battery voltage information may change, so the controller 120 can generate voltage estimation information for batteries having a certain range of SOH using the same algorithm.

[0051] According to an embodiment, if the SOH of the battery falls outside a certain range, the controller 120 may change an algorithm for generating the voltage estimation information. For example, the controller 120 may change the algorithm for each first time period.

[0052] According to an embodiment, the battery management device 100 may further include a storage unit 130. The storage unit 130 may store the learned algorithm for each first period.

[0053] FIG. 4 is a diagram illustrating an example of how a battery management device according to an embodiment disclosed herein stores an algorithm. 4, the storage unit 130 according to an embodiment disclosed herein can store an algorithm learned for each first period. Thus, the storage unit 130 can store a plurality of algorithms 131 and 132.

[0054] According to an embodiment, the first algorithm 131 stored in the memory unit 130 may be an algorithm learned by the controller 120 during a first first period. Also, the second algorithm 132 stored in the memory unit 130 may be an algorithm learned by the controller 120 during a second first period. That is, the controller 120 can learn an algorithm regarding the relationship between the battery current information and the battery voltage information for each first period, and can store the learned algorithm in the memory unit 130.

[0055] According to the embodiment, the controller 120 can generate voltage estimation information for each second period after the initial first period based on the first algorithm 131. Also, the controller 120 can accumulate the battery current information measured for each second period and the battery voltage information measured for each second period, and learn the second algorithm 132 based on the second first current information and the second first voltage information. In this case, the controller 120 can generate voltage estimation information for each second period after the second first period based on the second algorithm 132.

[0056] According to an embodiment, the controller 120 may generate the voltage estimation information based on an algorithm corresponding to each battery. For example, when a replaced battery is present, the controller 120 may generate the voltage estimation information of the replaced battery during the second time period based on the algorithm stored in the memory unit 130. When a battery is replaced, the SOH indicating the degree of deterioration may be different from that of a battery that is not replaced, so the controller 120 may generate the voltage estimation information of the replaced battery based on an algorithm corresponding to the time period in which the replaced battery is included.

[0057] The battery management device 100 according to one embodiment disclosed herein can detect unusual anomalous behavior that cannot be detected by simple comparison of voltage or current between battery cells.

[0058] The battery management device 100 according to one embodiment disclosed herein can estimate voltage information for a second period based on the first current information and voltage information, and can compare the estimated voltage information with measured voltage information to determine the state of the battery.

[0059] The battery management device 100 according to an embodiment disclosed herein can determine the state of the battery by learning an algorithm regarding the relationship between the battery current information and the battery voltage information during a specific period of time.

[0060] The battery management device 100 according to one embodiment disclosed in this document stores the learned algorithm, and even when a battery is replaced, it can estimate voltage information using an algorithm suitable for the replaced battery and determine the status of the replaced battery.

[0061] The battery management device 100 according to one embodiment disclosed in this document can estimate voltage information for batteries with similar SOH using the same algorithm, and when the SOH changes over time, can learn a new algorithm to estimate voltage information for the battery.

[0062] FIG. 5 is a flow chart illustrating a method of operation of a battery management device according to one embodiment disclosed herein. According to an embodiment, the operations illustrated in FIG. 5 may be performed via the battery management device 100 of FIG.

[0063] Referring to FIG. 5, an operating method of the battery management device 100 according to one embodiment disclosed in this document may include the steps of measuring a current and a voltage of the battery (S110), estimating a voltage of the battery during a second period after the first period based on first current information related to the current of the battery measured during the first period and first voltage information related to the voltage of the battery measured during the first period to generate voltage estimation information (S120), and determining a state of the battery based on the voltage estimation information and second voltage information related to the voltage of the battery measured during the second period (S130).

[0064] In step S110, the measurement unit 110 may measure the current and voltage of the battery. For example, the measurement unit 110 may measure first current information related to the current of the battery measured during the first period, and first voltage information related to the voltage of the battery measured during the first period. As another example, the measurement unit 110 may include a current sensor and a voltage sensor, and may measure the first current information and the first voltage information through the current sensor and the voltage sensor. As another example, the measurement unit 110 may measure current information and voltage information of each of a battery pack, a battery module, or a battery cell included in the battery. According to an embodiment, the first period may be, but is not limited to, one month. According to another embodiment, the first period may be a period during which the SOH of the battery does not change.

[0065] According to the embodiment, in step S110, the measurement unit 110 may measure the first current information and the first voltage information for each first period. For example, if the first period is one month, the measurement unit 110 may measure the battery current information and the battery voltage information for the first month, and may measure the battery current information and the battery voltage information again for the next month. That is, the measurement unit 110 may repeatedly measure the first current information and the first voltage information.

[0066] In step S110, the measurement unit 110 can measure second current information related to the current of the battery during a second period after the first period, and second voltage information related to the voltage of the battery during the second period. For example, the second period may be one day, but is not limited thereto. As another example, the second period may be a period during which the controller 120, which will be described later, estimates the voltage information of the battery.

[0067] According to the embodiment, in step S110, the measurement unit 110 can measure the second current information and the second voltage information for each second period. For example, if the second period is one day, the measurement unit 110 can measure the second current information and the second voltage information for the first day, and can measure the second current information and the second voltage information again on the next day. That is, the measurement unit 110 can repeatedly measure the second current information and the second voltage information.

[0068] In step S120, the controller 120 may generate voltage estimation information based on first current information related to a current of the battery measured during a first time period and first voltage information related to a voltage of the battery measured during the first time period. For example, the controller 120 may learn an algorithm related to a relationship between the first current information and the first voltage information, and may generate voltage estimation information based on the learned algorithm, second current information related to a current of the battery measured during a second time period, and initial voltage information for the second time period.

[0069] In step S130, the controller 120 can determine the state of the battery based on the voltage estimation information and the second voltage information. For example, the controller 120 can determine that an abnormality has occurred in the battery if the difference between the voltage estimation information and the second voltage information related to the voltage of the battery measured during the second period is equal to or greater than a threshold value.

[0070] 6 and 7 are flow charts illustrating a method of operating the battery management device according to an embodiment disclosed herein. According to an embodiment, the operations illustrated in FIG. 6 and FIG. 7 may be performed via the battery management device 100 of FIG.

[0071] 6, the operating method of the battery management device 100 according to an embodiment disclosed herein may include a step of learning first current information and first voltage information by an algorithm (S210), and a step of generating voltage estimation information based on the learned algorithm (S220). According to an embodiment, steps S210 and S220 may be included in step S120 of FIG.

[0072] In step S210, the controller 120 can learn the first current information and the first voltage information by an algorithm. For example, the controller 120 can learn the first current information and the first voltage information by a Long Short-Term Memory (LSTM) algorithm. As another example, the controller 120 can learn an algorithm regarding the relationship between the first current information and the first voltage information. In step S220, the controller 120 can generate voltage estimation information based on the learned algorithm.

[0073] Referring to FIG. 7, an operating method of the battery management device 100 according to one embodiment disclosed in this document may include a step of updating an algorithm based on second voltage information and second current information related to the current of the battery measured during the second period (S310), a step of storing the algorithm for each first period (S320), and, when the battery is replaced, a step of predicting voltage information of the replaced battery during the second period based on the stored algorithm (S330).

[0074] In step S310, the controller 120 may update the algorithm based on the second voltage information and the second current information related to the current of the battery measured during the second time period. For example, the controller 120 may further consider the second current information and the second voltage information in addition to the first current information and the first voltage information to learn an algorithm related to the relationship between the voltage information and the current information. According to an embodiment, the controller 120 may update the algorithm based on the current information of the battery measured every second time period and the voltage information of the battery measured every second time period.

[0075] In step S320, the storage unit 130 can store an algorithm for each first period. For example, the storage unit 130 can store a plurality of algorithms by storing an algorithm for each first period.

[0076] In step S330, when a battery is replaced, the controller 120 can generate voltage estimation information of the replaced battery for the second time period based on the stored algorithm. For example, when a replaced battery is present, the controller 120 can generate voltage estimation information of the replaced battery for the second time period based on the algorithm stored in the memory unit 130. When a battery is replaced, the SOH indicating the degree of deterioration may be different from that of a battery that is not replaced, so the controller 120 can generate voltage estimation information of the replaced battery based on an algorithm corresponding to the time period in which the replaced battery is included.

[0077] FIG. 8 is a block diagram showing a hardware configuration of a computing system for performing the method of operating a battery management device according to an embodiment disclosed herein.

[0078] Referring to FIG. 8, a computing system 1000 according to one embodiment disclosed in this document may include an MCU 1010, a memory 1020, an input / output I / F 1030, and a communication I / F 1040.

[0079] The MCU 1010 may be a processor that executes various programs stored in the memory 1020 (e.g., a battery voltage information or current information collection program, an algorithm learning program regarding the relationship between battery voltage information and battery current information, a battery voltage information estimation program, a program for checking whether the battery has been replaced, a battery status determination program, etc.), processes various information including battery voltage information, battery current information, a battery voltage information estimation algorithm, battery status information, etc. through such programs, and performs the function of a controller included in the battery management device shown in Figure 2 above.

[0080] The memory 1020 can store various programs such as a battery voltage information or current information collection program, an algorithm learning program relating to the relationship between battery voltage information and battery current information, a battery voltage information estimation program, a battery replacement confirmation program, a battery state determination program, etc. The memory 1020 can also store various information such as battery voltage information, battery current information, a battery voltage information estimation algorithm, and battery state information. According to an embodiment, the memory 1020 may be substantially similar to the storage unit 130 of FIG. 2.

[0081] A plurality of such memories 1020 may be provided as necessary. The memories 1020 may be volatile memories or non-volatile memories. The memory 1020 as a volatile memory may be a RAM, a DRAM, an SRAM, or the like. The memory 1020 as a non-volatile memory may be a ROM, a PROM, an EAROM, an EPROM, an EEPROM, a flash memory, or the like. The examples of the memory 1020 listed above are merely illustrative and are not limited to these examples.

[0082] The input / output I / F 1030 can provide an interface that connects input devices (not shown) such as a keyboard, mouse, or touch panel, and output devices such as a display (not shown), to the MCU 1010 to enable data transmission and reception.

[0083] The communication I / F 1040 is configured to be able to transmit and receive various data to and from a server, and may be any of various devices capable of supporting wired or wireless communication. For example, the battery management device can transmit and receive information such as various types of battery voltage information, battery current information, a battery voltage information estimation algorithm, and battery state information from a separately provided external server via the communication I / F 1040.

[0084] In this manner, a computer program according to one embodiment disclosed in this document may be recorded in memory 1020 and processed by MCU 1010 to be realized, for example, as a module performing each function shown in FIG. 2.

[0085] The above description is merely an illustrative example of the technical ideas disclosed in this document, and various modifications and variations may be made by a person having ordinary knowledge in the technical field to which the embodiments disclosed in this document pertain, without departing from the essential characteristics of the embodiments disclosed in this document.

[0086] Therefore, the embodiments disclosed in this document are intended to illustrate, not to limit, the technical ideas disclosed in this document, and such embodiments do not limit the scope of the technical ideas disclosed in this document. The scope of protection of the technical ideas disclosed in this document should be interpreted according to the claims below, and all technical ideas within the equivalent scope should be interpreted as being included in the scope of rights of this document. [Explanation of symbols]

[0087] 1 Battery pack 2 Upper controller 10 Battery module 12 Sensors 14 Switching section 20 Battery Management System (BMS) 100 Battery management device 110 Measuring section 120 Controller 130 Storage section 131 First Algorithm 132 Second Algorithm 141 Algorithms 142 Algorithms 1000 Computing Systems 1020 Memory

Claims

1. A measurement unit for measuring a current and a voltage of a battery; generating voltage estimation information by estimating a voltage of the battery during a second period following the first period based on first current information related to a current of the battery measured during a first period and first voltage information related to a voltage of the battery measured during the first period; a controller that determines a state of the battery based on the voltage estimation information and second voltage information related to a voltage of the battery measured during the second time period; A battery management device comprising:

2. The controller: The battery management device according to claim 1 , wherein if a difference between the voltage estimation information and the second voltage information is equal to or greater than a threshold, it is determined that an abnormality has occurred in the battery.

3. The controller: The battery management device of claim 1 , further comprising: a first current information section for determining a current of the battery measured during the second period; and a second voltage information section for determining an initial voltage of the battery during the second period.

4. The controller: The battery management device according to claim 1 , wherein the first current information and the first voltage information are learned by a Long Short-Term Memory (LSTM) algorithm.

5. The controller: The battery management device according to claim 4 , wherein the voltage estimation information is generated based on the learned algorithm.

6. The controller:

5. The battery management device of claim 4, further comprising: updating said algorithm based on said second voltage information and second current information relating to a current in said battery measured during said second time period.

7. Further comprising a storage unit, The storage unit is The battery management device according to claim 4 , further comprising: a learning algorithm for each of the first periods that is stored.

8. The controller: The battery management device of claim 7 , further comprising: if a replaced battery is present, generating voltage estimation information for the replaced battery during the second time period based on the stored algorithm.

9. The controller: The battery management device of claim 1 , wherein the voltage estimation information is generated for batteries having a certain range of SOH (State of Health).

10. The controller: The battery management device according to claim 9 , further comprising: a step of changing an algorithm for generating the voltage estimation information when the SOH of the battery falls outside the certain range.

11. The controller: The battery management device according to claim 1 , further comprising: updating an algorithm for generating the voltage estimation information for each of the first periods.

12. The controller: learning an algorithm relating to a relationship between the first current information and the first voltage information; The battery management device of claim 1 , wherein the voltage estimation information is generated based on a learned algorithm.

13. measuring the current and voltage of the battery; generating voltage estimation information by estimating a voltage of the battery during a second time period after the first time period based on first current information related to a current of the battery measured during a first time period and first voltage information related to a voltage of the battery measured during the first time period; determining a state of the battery based on the voltage estimation information and second voltage information related to a voltage of the battery measured during the second time period; A method of operating a battery management device, comprising:

14. Determining the state of the battery based on the voltage estimation information and second voltage information related to a voltage of the battery measured during the second time period includes: The method for operating a battery management device according to claim 13 , further comprising determining that an abnormality has occurred in the battery if a difference between the voltage estimation information and the second voltage information is equal to or greater than a threshold value.

15. generating the voltage estimation information by estimating a voltage of the battery during a second period following the first period based on the first current information related to a current of the battery measured during the first period and first voltage information related to a voltage of the battery measured during the first period, the step of: algorithmically learning the first current information and the first voltage information; and generating the voltage estimation information based on the learned algorithm.

16. 16. The method of claim 15, further comprising updating the algorithm based on the second voltage information and second current information related to a current in the battery measured during the second time period.

17. The method of claim 15 further comprising the step of storing an algorithm for each of the first time periods.

18. 20. The method of claim 17, further comprising: if a battery is replaced, generating voltage estimation information for the replaced battery during the second time period based on the stored algorithm.

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