Battery management device and operating method thereof

Abstract

A battery management apparatus according to an embodiment disclosed herein includes: a measurement unit configured to measure a current and a voltage of a battery; and a controller configured to generate voltage estimation information by estimating a voltage of the battery in a second time period after a first time period based on first current information related to a current of the battery measured in the first time period and first voltage information related to a voltage of the battery measured in the first time period, 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 time period.

Description

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This application claims priority to and the benefit of Korean Patent Application No. 10-2022-0097615 filed in the Korean Intellectual Property Office on August 4, 2022, the entire contents of which are incorporated herein by reference. Technical Field

[0003] Embodiments disclosed herein relate to a battery management device and an operating method thereof. Background Art

[0004] Recently, research and development of secondary batteries have been actively conducted. In this article, secondary batteries as rechargeable / dischargeable batteries may include all conventional nickel (Ni) / cadmium (Cd) batteries, Ni / metal hydride (MH) batteries, etc., and recently lithium-ion batteries. Among secondary batteries, lithium-ion batteries have a much higher energy density than conventional Ni / Cd batteries, Ni / MH batteries, etc. In addition, lithium-ion batteries can be made small and light, so that lithium-ion batteries have been used as power sources for mobile devices, and recently their scope of use has been expanded to power sources for electric vehicles, and they have received attention as the next generation of energy storage media.

[0005] Energy storage system (ESS) batteries require technology for detecting defects in batteries, because the occurrence of defects may cause huge accidents such as fires. There have been various developments in technology for detecting battery defects, but most methods perform simple comparisons such as voltage, current, or temperature deviations of battery cells or voltage drops of specific battery cells, so a method for accurately detecting defects in batteries is needed. That is, a technology for detecting battery cells with abnormal behavior based on the battery status is needed. Summary of the invention

[0006] Technical issues

[0007] The embodiments disclosed herein are directed to providing a battery management device and an operating method thereof, in which unusual abnormal behaviors that cannot be detected based on deviations between battery cells can be detected.

[0008] The embodiments disclosed herein are directed to providing a battery management apparatus and an operating method thereof, in which abnormality of a battery can be detected by estimating future voltage information based on voltage information and current information within a specific time period.

[0009] Technical problems of the embodiments disclosed herein are not limited to the above-mentioned technical problems, and other unmentioned technical problems will be clearly understood by a person of ordinary skill in the art from the following description.

[0010] Technical Solution

[0011] A battery management device according to an embodiment disclosed herein includes: a measuring unit configured to measure the current and voltage of a battery; and a controller configured to generate voltage estimation information by estimating the voltage of the battery in a second time period after the first time period based on first current information related to the current of the battery measured in the first time period and first voltage information related to the voltage of the battery measured in the first time period, and determine the state of the battery based on the voltage estimation information and second voltage information related to the voltage of the battery measured in the second time period.

[0012] In an embodiment, the controller may be further configured to determine that an abnormality occurs in the battery when a difference between the voltage estimation information and the second voltage information is greater than or equal to a threshold value.

[0013] In an embodiment, the controller may be further configured to generate the voltage estimation information based on second current information related to the current of the battery measured during the second time period and initial voltage information of the battery during the second time period.

[0014] In an embodiment, the controller may be further configured to learn the first current information and the first voltage information through a long short-term memory (LSTM) algorithm.

[0015] In an embodiment, the controller may be further configured to generate voltage estimation information based on a trained algorithm.

[0016] In an embodiment, the controller may be further configured to update the algorithm based on the second voltage information and second current information related to the current of the battery measured during the second time period.

[0017] In an embodiment, the battery management device may further include a storage unit, wherein the storage unit is further configured to store the trained algorithm for each first time period.

[0018] In an embodiment, the controller may be further configured to: when a replaced battery is present, generate voltage estimation information of the replaced battery within a second time period based on the stored algorithm.

[0019] In an embodiment, the controller may be further configured to generate voltage estimation information about a battery having a state of health (SoH) in a particular range.

[0020] In an embodiment, the controller may be further configured to change an algorithm for generating the voltage estimation information when the SoH of the battery is outside a specific range.

[0021] In an embodiment, the controller may be further configured to update an algorithm for generating the voltage estimation information for each first time period.

[0022] In an embodiment, the controller may be further configured to train an algorithm related to the relationship between the first current information and the first voltage information, and generate the voltage estimation information based on the trained algorithm.

[0023] An operating method of a battery management device according to an embodiment disclosed herein includes: measuring the current and voltage of a battery; generating voltage estimation information by estimating the voltage of the battery in a second time period after the first time period based on first current information related to the current of the battery measured in the first time period and first voltage information related to the voltage of the battery measured in the first time period; and determining the state of the battery based on the voltage estimation information and second voltage information related to the voltage of the battery measured in the second time period.

[0024] In an embodiment, determining the state of the battery based on the voltage estimation information and second voltage information related to the voltage of the battery measured within a second time period may include: determining that an abnormality occurs in the battery when a difference between the voltage estimation information and the second voltage information is greater than or equal to a threshold.

[0025] In an embodiment, generating voltage estimation information by estimating the voltage of a battery in a second time period after a first time period based on first current information related to the current of the battery measured in the first time period and first voltage information related to the voltage of the battery measured in the first time period may include learning the first current information and the first voltage information through an algorithm, and generating the voltage estimation information based on the trained algorithm.

[0026] In an embodiment, the operating method may further include updating the algorithm based on the second voltage information and second current information related to the current of the battery measured during the second time period.

[0027] In an embodiment, the method of operation may further include storing the algorithm for each first time period.

[0028] In an embodiment, the operating method may further include: when the battery is replaced, generating voltage estimation information of the replaced battery within a second time period based on the stored algorithm.

[0029] Beneficial Effects

[0030] The battery management device and the operating method thereof according to the embodiments disclosed herein can detect special abnormal behaviors that cannot be detected by simple comparison of voltage or current between battery cells.

[0031] The battery management device and the operating method thereof according to the embodiments disclosed herein may determine the state of the battery by estimating voltage information within a second period of time based on the first current information and the voltage information and comparing the estimated voltage information with the measured voltage information.

[0032] The battery management device and the operating method thereof according to the embodiments disclosed herein may determine the state of the battery by training an algorithm related to the relationship between the current information of the battery and the voltage information of the battery within a specific time period.

[0033] The battery management device and the operating method thereof according to the embodiments disclosed herein may determine the state of the battery by storing a trained algorithm and estimating voltage information through an appropriate algorithm for the replaced battery even when the battery is replaced.

[0034] The battery management device and the operating method thereof according to the embodiments disclosed herein can estimate voltage information for batteries having similar SoH by using the same algorithm, and train a new algorithm to estimate voltage information of the battery when the SoH changes over time.

[0035] Furthermore, various effects directly or indirectly recognized from the present disclosure can be provided. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 is a block diagram of a general battery pack.

[0037] Figure 2 is a block diagram of a battery management device according to an embodiment disclosed herein.

[0038] Figure 3 is a view illustrating an example of determining a state of a battery by a battery management apparatus according to an embodiment disclosed herein.

[0039] Figure 4 An example of a battery management device storage algorithm according to an embodiment disclosed herein is shown.

[0040] Figure 5 is a flow chart of an operating method of a battery management device according to an embodiment disclosed herein.

[0041] Figure 6 to Figure 7 is a flowchart illustrating in detail an operation method of a battery management device according to an embodiment disclosed herein.

[0042] Figure 8 is a block diagram illustrating a hardware configuration of a computing system for executing an operating method of a battery management device according to an embodiment disclosed herein. DETAILED DESCRIPTION

[0043] Hereinafter, the embodiments disclosed in this document will be described in detail with reference to the exemplary drawings. When adding reference numerals to the components of each drawing, it should be noted that the same components are given the same reference numerals even if they are indicated in different drawings. In addition, when describing the embodiments disclosed in this document, when it is determined that the detailed description of the related known configuration or function interferes with the understanding of the embodiments disclosed in this document, its detailed description will be omitted.

[0044] To describe the components of the embodiments disclosed herein, terms such as first, second, A, B, (a), (b), etc. may be used. These terms are only used to distinguish one component from another and do not limit the components to the essence, order, sequence, etc. of the components. The terms used herein, including technical and scientific terms, have the same meanings as those commonly understood by those skilled in the art, as long as these terms are not defined differently. Generally, terms defined in generally used dictionaries should be interpreted as having the same meanings as the contextual meanings of the relevant technology, and should not be interpreted as having ideal or exaggerated meanings unless they are clearly defined in this application.

[0045] Figure 1 is a block diagram of a general battery pack.

[0046] Reference Figure 1 , schematically shows a battery control system including a battery pack 1 and a higher-level controller 2 included in the higher-level system according to an embodiment of the present disclosure.

[0047] like Figure 1 As shown, the battery pack 1 may include: a battery module 10, which includes one or more battery cells and is chargeable / dischargeable; a switch unit 14, which is connected in series to the positive (+) terminal side or the negative (-) terminal side of the battery module 10 to control the charge / discharge current flow of the battery module 10; and a battery management system 20, which is used to control and manage to prevent overcharge and overdischarge by monitoring the voltage, current, temperature, etc. of the battery pack 1. The battery pack 1 may include the battery module 10, the sensor 12, the switch unit 14, and the battery management system 20 in a plurality of arrangements.

[0048] Here, as the switch unit 14 as an element for controlling the flow of current for charging or discharging of the plurality of battery modules 10 , for example, at least one relay, magnetic contactor, etc. may be used according to the specification of the battery pack 1 .

[0049] The battery management system 20 as an interface for receiving the measurement values ​​of the above-mentioned various parameter values ​​may include a plurality of terminals and circuits connected thereto, etc., to process the input values. The battery management system 20 may control the on / off of the switch unit 14 such as a relay, a contactor, etc., and may be connected to the battery module 10 to monitor the state of each battery module 10. According to an embodiment, the battery management system 20 may include Figure 2 According to another embodiment, the battery management system 20 may be connected to the battery management device 100. Figure 2 The battery management device 100 is different. That is, Figure 2 The battery management apparatus 100 may be included in the battery pack 1 , and may be configured as another device outside the battery pack 1 .

[0050] The higher-level controller 2 may transmit a control signal regarding the battery module 10 to the battery management system 20. Therefore, the battery management system 20 may also be controlled in terms of its operation based on the signal applied from the higher-level controller 2.

[0051] Figure 2 is a block diagram of a battery management device according to an embodiment disclosed herein.

[0052] Reference Figure 2 According to an embodiment of the present invention, the battery management device 100 may include a measuring unit 110, a controller 120, and a controller 120. According to an embodiment, the battery management device 100 may include Figure 1 The battery management system 20 may be Figure 1 According to an embodiment, the battery management device 100 may further include a storage unit 130 .

[0053] The measuring unit 110 may measure the current and voltage of the battery. For example, the measuring unit 110 may measure first current information related to the current of the battery measured in a first time period, and first voltage information related to the voltage of the battery measured in the first time period. In another example, the measuring unit 110 may include a current sensor and a voltage sensor, and measure the first current information and the first voltage information through the current sensor and the voltage sensor. In another example, the measuring 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 time period may be one month, but is not limited thereto. According to another embodiment, the first time period may be a time period in which the state of health (SoH) of the battery does not change.

[0054] According to an embodiment, the measuring unit 110 may measure the first current information and the first voltage information for each first time period. For example, when the first time period is one month, the measuring unit 110 may measure the current information of the battery and the voltage information of the battery in the first month, and measure the current information of the battery and the voltage information of the battery again in the next month. That is, the measuring unit 110 may repeatedly measure the first current information and the first voltage information.

[0055] The measuring unit 110 may measure second current information related to the current of the battery in a second time period after the first time period, and measure second voltage information related to the voltage of the battery in the second time period. For example, the second time period may be one day, but is not limited thereto. In another example, the second time period may be a time period during which the controller 120 estimates the voltage information of the battery.

[0056] According to an embodiment, the measuring unit 110 may measure the second current information and the second voltage information for each second time period. For example, when the second time period is a day, the measuring unit 110 may measure the second current information and the second voltage information on the first day, and measure the second current information and the second voltage information again on the next day. That is, the measuring unit 110 may repeatedly measure the second current information and the second voltage information.

[0057] The controller 120 may estimate the voltage of the battery in 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.

[0058] The controller 120 may determine the state of the battery based on the estimated voltage estimation information and the second voltage information related to the voltage of the battery measured in the second time period. For example, the controller 120 may compare the generated voltage estimation information with the second voltage information, and determine that an abnormality has occurred in the battery when the difference between the voltage estimation information and the second voltage information is greater than or equal to a threshold value. According to an embodiment, the controller 120 may determine that an abnormality has occurred in the battery based on at least any one of the average value of the difference between the voltage estimation information and the second voltage information, the cumulative difference in the second time period, the absolute value of the difference, and the root mean square of the difference, but is not limited to the aforementioned method.

[0059] Figure 3 is a diagram showing an example of determining a state of a battery by a battery management device according to an embodiment disclosed herein. According to an embodiment, Figure 3 The example shown can be represented by Figure 2 The battery management device 100 is executed.

[0060] Reference Figure 3, the measurement unit 110 may include first current information and first voltage information 210. For example, the first time period may be from the first day to the Nth day, and the measurement unit 110 may measure the current of the battery from the first day to the Nth day and the voltage of the battery from the first day to the Nth day.

[0061] The measuring unit 110 may also measure the second current information and the initial voltage information 230 of the second time period and measure the second voltage information 250. For example, the second time period may be the N+1th day, and the measuring unit 110 may measure the current information of the N+1th day and the voltage information of the N+1th day.

[0062] The controller 120 may also generate voltage estimation information 240 based on the second current information and the initial voltage information 230 of the second time period. For example, the controller 120 may estimate voltage information on day N+1 based on the current information on day N+1 and the initial voltage information on day N+1.

[0063] According to an embodiment, the controller 120 may learn the first current information and the first voltage information 210 through a long short-term memory (LSTM) algorithm, as shown in 220. For example, the controller 120 may train an algorithm related to the relationship between the first current information and the first voltage information 210, as shown in 220.

[0064] The controller 120 may generate voltage estimation information 240 based on the trained algorithm. For example, the controller 120 may input the current information of the N+1th day and the initial voltage information 230 of the N+1th day into the trained algorithm, and generate and output the voltage information 240 of the N+1th day estimated based on the algorithm.

[0065] According to an embodiment, the controller 120 may update the algorithm based on the second current information and the second voltage information. For example, in addition to the first current information and the first voltage information, the controller 120 may also train the algorithm related to the relationship between the voltage information of the battery and the current information of the battery based on the second current information and the second voltage information.

[0066] According to an embodiment, the controller 120 may update the algorithm based on the current information of the battery measured for each second time period and the voltage information of the battery measured for each second time period. For example, the controller 120 may train and update the algorithm based on the current information from the first day to the N+1th day and the voltage information from the first day to the N+1th day. In another example, the controller 120 may update the algorithm based on the current information of the battery on the N+1th day and the voltage information of the battery on the N+1th day. According to an embodiment, the controller 120 may estimate the voltage information of the battery on the N+2th day based on the updated algorithm to generate voltage estimation information of the battery on the N+2th day.

[0067] The controller 120 may determine the state of the battery based on the generated voltage estimation information 240 and the second voltage information 250. For example, the controller 120 may determine the state of the battery by comparing the voltage estimation information 240 with the second voltage information 250. In another example, when the difference between the voltage estimation information 240 and the second voltage information 250 is greater than or equal to a threshold value, the controller 120 may determine that an abnormality occurs in the battery.

[0068] Return to reference Figure 2 , the controller 120 may generate voltage estimation information about a battery having a SoH in a specific range. For example, when the SoH exceeds a specific range, the relationship between the current information of the battery and the voltage information of the battery may change, so the controller 120 may generate voltage estimation information for a battery having a SoH in a specific range through the same algorithm.

[0069] According to an embodiment, when the SoH of the battery exceeds a certain range, the controller 120 may change the algorithm for generating the voltage estimation information. For example, the controller 120 may change the algorithm for each first time period.

[0070] According to an embodiment, the battery management device 100 may further include a storage unit 130. The storage unit 130 may store a trained algorithm for each first time period.

[0071] Figure 4 An example of a battery management device storage algorithm according to an embodiment disclosed herein is shown.

[0072] refer to Figure 4 According to the embodiment disclosed herein, the storage unit 130 may store the trained algorithm for each first time period. Therefore, the storage unit 130 may store a plurality of algorithms 141 and 142.

[0073] According to an embodiment, the first algorithm 131 stored in the storage unit 130 may be an algorithm trained by the controller 120 during an initial first time period. In addition, the second algorithm 132 stored in the storage unit 130 may be an algorithm trained by the controller 120 during a second first time period. That is, the controller 120 may train an algorithm related to the relationship between the current information of the battery and the voltage information of the battery for each first time period, and store the trained algorithm in the storage unit 130.

[0074] According to an embodiment, the controller 120 may generate voltage estimation information in each second time period after the initial first time period based on the first algorithm 131. The controller 120 may train the second algorithm 132 by accumulating the current information of the battery measured in each second time period and the voltage information of the battery measured in each second time period based on the second first current information and the second first voltage information. In this case, the controller 120 may generate voltage estimation information in each second time period after the second first time period based on the second algorithm 132.

[0075] According to an embodiment, the controller 120 may generate voltage estimation information based on an algorithm corresponding to each battery. For example, when there is a replaced battery, the controller 120 may generate voltage estimation information of the replaced battery within the second time period based on the algorithm stored in the storage unit 130. When the battery is replaced, the SoH indicating the degradation level may be different from the SoH of the battery that has not been replaced, so that the controller 120 may generate voltage estimation information of the replaced battery based on the algorithm corresponding to the period including the replaced battery.

[0076] The battery management device 100 according to the embodiments disclosed herein may detect special abnormal behavior that is undetectable by a simple comparison of voltage or current between battery cells.

[0077] The battery management device 100 according to an embodiment disclosed herein may determine the state of the battery by estimating voltage information within the second time period based on the first current information and the voltage information and comparing the estimated voltage information with the measured voltage information.

[0078] The battery management apparatus 100 according to an embodiment disclosed herein may determine the state of the battery by training an algorithm related to the relationship between the current information of the battery and the voltage information of the battery within a specific time period.

[0079] The battery management device 100 according to an embodiment disclosed herein may determine the state of a battery by storing a trained algorithm and estimating voltage information through an appropriate algorithm for a replaced battery even when the battery is replaced.

[0080] The battery management device 100 according to an embodiment disclosed herein may estimate voltage information for batteries having similar SoH by using the same algorithm, and train a new algorithm to estimate voltage information of the battery when the SoH changes over time.

[0081] Figure 5 is a flow chart of an operating method of a battery management device according to an embodiment disclosed herein.

[0082] According to an embodiment, Figure 5 The operations shown in Figure 2 The battery management device 100 is executed.

[0083] refer to Figure 5 , the operating method of the battery management device 100 according to the embodiment disclosed herein may include: operation S110, which measures the current and voltage of the battery; operation S120, which generates voltage estimation information by estimating the voltage of the battery in a second time period after the first time period based on first current information related to the current of the battery measured in the first time period and first voltage information related to the voltage of the battery measured in the first time period; and operation S130, which determines the state of the battery based on the voltage estimation information and second voltage information related to the voltage of the battery measured in the second time period.

[0084] In operation S110, the measuring unit 110 may measure the current and voltage of the battery. For example, the measuring unit 110 may measure first current information related to the current of the battery measured in a first time period, and first voltage information related to the voltage of the battery measured in the first time period. In another example, the measuring unit 110 may include a current sensor and a voltage sensor, and measure the first current information and the first voltage information by the current sensor and the voltage sensor. In another example, the measuring 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 time period may be one month, but is not limited thereto. According to another embodiment, the first time period may be a time period in which the state of health (SoH) of the battery does not change.

[0085] According to an embodiment, in operation S100, the measuring unit 110 may measure the first current information and the first voltage information for each first time period. For example, when the first time period is one month, the measuring unit 110 may measure the current information of the battery and the voltage information of the battery in the first month, and measure the current information of the battery and the voltage information of the battery again in the next month. That is, the measuring unit 110 may repeatedly measure the first current information and the first voltage information.

[0086] In operation S110, the measuring unit 110 may measure second current information related to the current of the battery in a second time period after the first time period, and measure second voltage information related to the voltage of the battery in the second time period. For example, the second time period may be one day, but is not limited thereto. In another example, the second time period may be a time period in which the controller 120 estimates the voltage information of the battery.

[0087] According to an embodiment, in operation S110, the measuring unit 110 may measure the second current information and the second voltage information for each second time period. For example, when the second time period is a day, the measuring unit 110 may measure the second current information and the second voltage information on the first day, and measure the second current information and the second voltage information again on the next day. That is, the measuring unit 110 may repeatedly measure the second current information and the second voltage information.

[0088] In operation S120, the measuring unit 120 may generate voltage estimation information based on first current information related to the current of the battery measured in the first time period and first voltage information related to the voltage of the battery measured in the first time period. For example, the controller 120 may train an algorithm related to the relationship between the first current information and the first voltage information, and generate voltage estimation information based on the trained algorithm, second current information related to the current of the battery measured in the second time period, and initial voltage information of the second time period.

[0089] In operation S130, the controller 120 may determine the state of the battery based on the voltage estimation information and the second voltage information. For example, when the difference between the voltage estimation information and the second voltage information related to the voltage of the battery measured in the second time period is greater than or equal to a threshold, the controller 120 may determine that an abnormality has occurred in the battery.

[0090] Figure 6 to Figure 7 is a flowchart showing in detail the operation method of the battery management device according to the embodiment disclosed herein. According to the embodiment, Figure 6 and Figure 7 The operations shown in Figure 2 The battery management device 100 is executed.

[0091] refer to Figure 6 , the operating method of the battery control device 100 according to the embodiment disclosed herein may include: operation S210, which learns the first current information and the first voltage information through an algorithm; and operation S220, which generates voltage estimation information based on the trained algorithm. According to an embodiment, operations S210 and S220 may be included in Figure 5 In operation S120.

[0092] That is, in operation S210, the controller 120 may learn the first current information and the first voltage information through an algorithm. For example, the controller 120 may learn the first current information and the first voltage information through an LSTM algorithm. In another example, the controller 120 may train an algorithm related to the relationship between the first current information and the first voltage information.

[0093] In operation S220 , the controller 120 may generate voltage estimation information based on the trained algorithm.

[0094] Reference Figure 7 , the operating method of the battery management device 100 according to the embodiment disclosed in this article may include: operation S310, which updates the algorithm based on the second voltage information and the second current information related to the current of the battery measured in the second time period; and operation S330, when the battery is replaced, predicting the voltage information of the replaced battery in the second time period based on the stored algorithm.

[0095] In operation 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 in the second time period. For example, in addition to the first current information and the first voltage information, the controller 120 may train the algorithm related to the relationship between the voltage information and the current information based on the second current information and the second voltage information. According to an embodiment, the controller 120 may update the algorithm based on the current information of the battery measured for each second time period and the voltage information of the battery measured for each second time period.

[0096] In operation S320, the storage unit 130 may store an algorithm for each first time period. For example, the storage unit 130 may store a plurality of algorithms by storing the algorithm for each first time period.

[0097] In operation S330, when the battery is replaced, the controller 120 may generate voltage estimation information of the replaced battery within the second time period based on the stored algorithm. For example, when there is a replaced battery, the controller 120 may generate voltage estimation information of the replaced battery within the second time period based on the algorithm stored in the storage unit 130. When the battery is replaced, the SoH indicating the degradation level may be different from the SoH of the battery that is not replaced, so that the controller 120 may generate the voltage estimation information of the replaced battery based on the algorithm corresponding to the period including the replaced battery.

[0098] Figure 8 is a block diagram illustrating a hardware configuration of a computing system for executing an operating method of a battery management device according to an embodiment disclosed herein.

[0099] refer to Figure 8 , the computing system 1000 according to the embodiments disclosed herein may include an MCU 1010 , a memory 1020 , an input / output I / F 1030 , and a communication I / F 1040 .

[0100] The MCU 1010 may be a processor that executes various programs stored in the memory 1020 (for example, a program for collecting battery voltage information or current information, a program for training an algorithm related to the relationship between battery voltage information and battery current information, a program for estimating battery voltage information, a program for determining whether a battery has been replaced, a program for determining a battery state, etc.), and the processor processes various information including battery voltage information, battery current information, an algorithm for estimating battery voltage information, battery state information, etc. through these programs, and executes the programs included in Figure 2 The above functions of the controller in the battery management device are shown.

[0101] The memory 1020 may store various programs, such as a program for collecting battery voltage information or current information, a program for training an algorithm related to the relationship between battery voltage information and battery current information, a program for estimating battery voltage information, a program for determining whether a battery is replaced, a program for determining a battery state, etc. The memory 1020 may store various information, such as battery voltage information, battery current information, an algorithm for estimating battery voltage information, battery state information, etc. According to an embodiment, the memory 1020 may be substantially the same as Figure 2 The storage unit 130 is the same.

[0102] A plurality of memories 1020 may be provided as needed. The memory 1020 may be a volatile memory or a nonvolatile memory. For the memory 1020 as a volatile memory, a random access memory (RAM), a dynamic RAM (DRAM), a static RAM (SRAM), etc. may be used. For the memory 1020 as a nonvolatile memory, a read-only memory (ROM), a programmable ROM (PROM), an electrically alterable ROM (EAROM), an erasable PROM (EPROM), an electrically erasable PROM (EEPROM), a flash memory, etc. may be used. The examples of the memory 1020 listed above are merely examples and are not limited thereto.

[0103] The input / output I / F 1030 may provide an interface for transmitting and receiving data by connecting an input device (not shown) such as a keyboard, a mouse, a touch panel, etc., and an output device such as a display (not shown) to the MCU 1010 .

[0104] The communication I / F 1040, which is a component capable of sending and receiving various data to and from a server, may be various devices capable of supporting wired or wireless communication. For example, the battery management device may send and receive information such as battery voltage information, battery current information, an algorithm for estimating battery voltage information, battery status information, etc. from a separately provided external server through the communication I / F 1040.

[0105] Therefore, the computer program according to the embodiment disclosed herein may be recorded in the memory 1020 and processed by the MCU 1010, thereby being implemented as an execution Figure 2 Modules with the functionality shown in .

[0106] The above description is merely an illustration of the technical concept of the present disclosure, and various modifications and changes will be possible by a person of ordinary skill in the art to which the embodiments disclosed herein belong without departing from the basic features of the embodiments of the present disclosure.

[0107] Therefore, the embodiments disclosed herein are intended to describe rather than limit the technical spirit of the embodiments disclosed herein, and the scope of the technical spirit of the present disclosure is not limited by these embodiments disclosed herein. The protection scope of the technical spirit disclosed herein should be interpreted by the attached claims, and all technical spirits within the same scope should be understood to be included within the scope of the present disclosure.

Claims

1. A battery management device, comprising: a measuring unit configured to measure a current and a voltage of a battery; A controller, the controller being configured to: generating voltage estimation information by estimating a voltage of the battery in a second time period after the first time period based on first current information related to a current of the battery measured in a first time period and first voltage information related to a voltage of the battery measured in the first time period, and A state of the battery is determined based on the voltage estimation information and second voltage information related to a voltage of the battery measured during the second time period.

2. The battery management device according to claim 1, wherein: The controller is further configured to determine that an abnormality occurs in the battery when a difference between the voltage estimation information and the second voltage information is greater than or equal to a threshold value.

3. The battery management device according to claim 1, wherein: The controller is further configured to generate the voltage estimation information based on second current information related to the current of the battery measured during the second time period and initial voltage information of the battery during the second time period.

4. The battery management device according to claim 1, wherein: The controller is further configured to learn the first current information and the first voltage information through a long short-term memory (LSTM) algorithm.

5. The battery management device according to claim 4, wherein: The controller is further configured to generate the voltage estimation information based on a trained algorithm.

6. The battery management device according to claim 4, wherein: The controller is further configured to update the algorithm based on the second voltage information and second current information related to a current of the battery measured during the second time period.

7. The battery management device according to claim 4, further comprising a storage unit, wherein: The storage unit is further configured to store the trained algorithm for each first time period.

8. The battery management device according to claim 7, wherein: The controller is further configured to generate voltage estimation information of the replaced battery within the second time period based on the stored algorithm when the replaced battery is present.

9. The battery management device according to claim 1, wherein: The controller is further configured to generate the voltage estimation information about a battery having a state of health (SoH) in a specific range.

10. The battery management device according to claim 9, wherein: The controller is further configured to change an algorithm for generating the voltage estimation information when the SoH of the battery is outside the specific range.

11. The battery management device according to claim 1, wherein: The controller is further configured to update an algorithm used to generate the voltage estimation information for each first time period.

12. The battery management device according to claim 1, wherein: The controller is further configured to: training an algorithm related to the relationship between the first current information and the first voltage information; as well as The voltage estimation information is generated based on a trained algorithm.

13. An operating method of a battery management device, the operating method comprising: Measure battery current and voltage; as well as generating voltage estimation information by estimating a voltage of the battery in a second time period after the first time period based on first current information related to a current of the battery measured in a first time period and first voltage information related to a voltage of the battery measured in the first time period; as well as A state of the battery is determined based on the voltage estimation information and second voltage information related to a voltage of the battery measured during the second time period.

14. The operating method according to claim 13, wherein: Determining the state of the battery based on the voltage estimation information and the second voltage information related to the voltage of the battery measured during the second time period includes determining that an abnormality occurs in the battery when a difference between the voltage estimation information and the second voltage information is greater than or equal to a threshold.

15. The operating method according to claim 13, wherein: Generating the voltage estimation information by estimating the voltage of the battery in the second time period after the first time period based on the first current information related to the current of the battery measured in the first time period and the first voltage information related to the voltage of the battery measured in the first time period includes: Learning the first current information and the first voltage information through an algorithm; and The voltage estimation information is generated based on a trained algorithm. 16 . The operating method of claim 15 , further comprising updating the algorithm based on the second voltage information and second current information related to the current of the battery measured during the second time period.

17. The operating method according to claim 15, further comprising storing the algorithm for each first time period.

18. The operating method according to claim 17, further comprising: When the battery is replaced, voltage estimation information of the replaced battery within the second time period is generated based on the stored algorithm.

Images