Battery management device and method

Abstract

A battery management device according to one embodiment of the present invention includes a data acquisition unit configured to acquire battery information including at least one of a battery voltage and a battery current, and a control unit configured to estimate a SOH of the battery based on the battery information, calculate a SOH score for the battery based on a reference value corresponding to the SOH in a plurality of preset reference profiles and the SOH, predict a plurality of SOHs of the battery in a target period, calculate a RUL score for the battery based on a plurality of reference values ​​corresponding to the plurality of SOHs in the plurality of reference profiles and the plurality of SOHs, and determine a safety score for the battery according to a safety grade of the battery based on the battery information.

Description

Technical Field

[0001] The present invention claims the benefit of priority based on Korean Patent Application No. 10-2022-0034948 filed on March 21, 2022, and all the contents disclosed in the document of the Korean patent application are incorporated herein by reference in their entirety.

[0002] The present invention relates to a battery management device and method, and more particularly, to a battery management device and method capable of evaluating the life of a battery.

Background Art

[0003] In recent years, the demand for portable electronic products such as notebook computers, video cameras, and mobile phones has increased rapidly. As the development of electric vehicles, energy storage batteries, robots, satellites, etc. has become full-scale, research on high-performance batteries capable of repeated charge and discharge has been actively conducted.

[0004] Currently commercialized batteries include nickel-cadmium batteries, nickel-metal hydride batteries, nickel-zinc batteries, lithium batteries, etc. Among them, lithium batteries have attracted attention due to the advantages that they hardly have a memory effect, are free to charge and discharge, have a very low self-discharge rate, and have a high energy density compared to nickel-based batteries.

[0005] Generally, since a battery deteriorates as it is used, it is necessary to accurately diagnose the state of the battery in order to increase the expected life of the battery. Conventionally, performance inspections of the current life and remaining life of the battery have been performed by estimating the SOH (State of charge), RUL (Remaining useful life), etc. of the battery in various ways.

[0006] However, since these terms are unfamiliar to the average user, there is a risk that they may not be able to accurately grasp what SOH, RUL, etc., mean. Therefore, there is a need for technological development that can help average users intuitively understand battery life by comprehensively evaluating it from various perspectives. [Overview of the project] [Problems that the invention aims to solve]

[0007] The present invention aims to provide a battery management device and method that can evaluate and assign a score to the lifespan of a battery.

[0008] Other objects and advantages of the present invention can be understood from the following description and will be further revealed by embodiments of the present invention. Furthermore, it will be readily apparent that the objects and advantages of the present invention can be realized by the means and combinations thereof as set forth in the claims. [Means for solving the problem]

[0009] A battery management device according to one aspect of the present invention may include a data acquisition unit configured to acquire battery information including at least one of the voltage and current of a battery, and a control unit configured to estimate the State of Health (SOH) of the battery based on the battery information, calculate an SOH score for the battery based on the SOH and a reference value corresponding to the SOH in a plurality of preset reference profiles, predict a plurality of SOHs of the battery during a target period, calculate a RUL score for the battery based on a plurality of reference values ​​corresponding to the plurality of SOHs in the plurality of reference profiles and the plurality of SOHs, and determine a safety score for the battery according to the safety class of the battery based on the battery information.

[0010] The plurality of reference profiles may be configured to include a first reference profile showing the maximum SOH per unit time for the battery, and a second reference profile showing the minimum SOH per unit time for the battery.

[0011] The control unit can be configured to determine a first reference value corresponding to the SOH from the first reference profile, determine a second reference value corresponding to the SOH from the second reference profile, and calculate the SOH score based on the ratio of the SOH to the first and second reference values.

[0012] The control unit can be configured to determine the SOH reference interval for the first and second reference values, calculate the ratio of the SOH to the SOH reference interval, and convert the calculated ratio into points to calculate the SOH score.

[0013] The control unit can be configured to determine a plurality of first reference values ​​for the target period from the first reference profile, determine a plurality of second reference values ​​for the target period from the second reference profile, and calculate the RUL score based on the ratio of the plurality of SOHs to the plurality of first reference values ​​and the plurality of second reference values.

[0014] The control unit can be configured to determine the RUL reference interval for the sum of the plurality of first reference values ​​and the sum of the plurality of second reference values, calculate the ratio of the sum of the plurality of SOHs to the RUL reference interval, and calculate the RUL score by converting the calculated ratio into points.

[0015] The plurality of reference profiles may be configured to include a third reference profile that shows the average SOH per unit time for the battery. The control unit can be configured to determine a target time point corresponding to a preset threshold from the third reference profile, and to set the period from the current time point in which the SOH is estimated to the target time point as the target period.

[0016] The target period can be set to the period from the current time when the State of Health (SOH) is estimated to the expiration of the warranty period predetermined for the battery. The control unit can be configured to calculate the safety score corresponding to the safety grade based on a pre-set safety grade table.

[0017] The control unit can be configured to determine abnormal behavior with respect to the battery information, calculate the similarity between the determined abnormal behavior and a preset abnormal profile, and determine the safety class based on the calculated similarity.

[0018] The control unit can be configured to determine the battery life score by adding up pre-set weight values ​​corresponding to the SOH score, the RUL score, and the safety score, respectively.

[0019] A battery system according to another aspect of the present invention may include a battery management device according to one aspect of the present invention. A battery pack according to yet another aspect of the present invention may include a battery management device according to one aspect of the present invention.

[0020] A battery management method according to yet another aspect of the present invention may include: a battery information acquisition step of acquiring battery information including at least one of the voltage and current of the battery; an SOH score calculation step of estimating the State of Health (SOH) of the battery based on the battery information and calculating an SOH score for the battery based on the reference values ​​corresponding to the SOH in a plurality of pre-set reference profiles and the SOH; a RUL score calculation step of predicting a plurality of SOHs of the battery during a target period and calculating a RUL score for the battery based on a plurality of reference values ​​corresponding to the plurality of SOHs in the plurality of reference profiles and the plurality of SOHs; and a safety score calculation step of calculating a safety score for the battery according to the safety class of the battery based on the battery information. [Effects of the Invention]

[0021] According to one aspect of the present invention, the battery management device has the advantage of being able to evaluate the performance of the battery in various aspects by calculating the SOH score, RUL score, and safety score for the battery, respectively.

[0022] Also, according to one aspect of the present invention, the battery management device has the advantage of being able to provide not only detailed scores such as the SOH score, RUL score, and safety score for the battery, but also the battery life score calculated by integrating the detailed scores. Therefore, the user can check the detailed scores for the battery management device and also check the battery life score, which is the comprehensive score. In particular, when the user cannot accurately recognize what the detailed scores mean, the user has the advantage of being able to intuitively check the performance evaluation result for the battery used by himself / herself by checking the battery life score.

[0023] The effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned are clearly understandable to those skilled in the art from the description of the claims.

Brief Description of Drawings

[0024] The following drawings attached to this specification serve to further understand the technical idea of the present invention together with the detailed description of the invention to be described later. Therefore, the present invention should not be construed as being limited only to the matters described in the drawings.

[0025] [Figure 1] It is a diagram schematically showing a battery management device according to an embodiment of the present invention. [Figure 2] It is a diagram schematically showing an example of a plurality of profiles considered by the battery management device according to an embodiment of the present invention to calculate the SOH score. [Figure 3] It is a diagram schematically showing an example in which the SOH score is calculated according to an embodiment of the present invention. [Figure 4] It is a diagram schematically showing an example of a plurality of profiles considered by the battery management device according to an embodiment of the present invention to calculate the RUL score. [Figure 5]This figure schematically illustrates an example of how RUL scores are calculated according to one embodiment of the present invention. [Figure 6] This figure schematically illustrates other examples of the multiple profiles that a battery management device according to one embodiment of the present invention considers in order to calculate the RUL score. [Figure 7] This figure schematically shows an example of a pre-configured safety rating table according to one embodiment of the present invention. [Figure 8] This figure schematically shows an exemplary configuration of a battery system according to another embodiment of the present invention. [Figure 9] This figure schematically illustrates an example of the lifetime point output provided to the user by one embodiment of the present invention. [Figure 10] This figure schematically illustrates an exemplary configuration of a battery pack according to yet another embodiment of the present invention. [Figure 11] This figure schematically illustrates a battery management method according to yet another embodiment of the present invention. [Figure 12] This figure schematically illustrates a battery management method according to yet another embodiment of the present invention. [Modes for carrying out the invention]

[0026] The terms and words used in this specification and in the claims should not be interpreted in a manner limited to their ordinary or dictionary meanings, but rather should be interpreted in a manner consistent with the technical idea of ​​the present invention, in accordance with the principle that inventors may appropriately define the concepts of terms in order to best describe their invention.

[0027] Therefore, the embodiments described herein and the configurations shown in the drawings represent only one of the most preferred embodiments of the present invention and do not represent the entire technical concept of the invention. It should be understood that, at the time of filing, there may be a variety of equivalent and modified forms that can substitute for them.

[0028] Furthermore, when describing the present invention, if it is determined that a specific explanation of a related known configuration or function would unnecessarily obscure the gist of the present invention, such detailed explanation will be omitted.

[0029] Terms that include ordinal numbers, such as "first," "second," etc., are used to distinguish one of several components from the rest, and are not used to limit the components themselves.

[0030] Throughout the specification, when a part is described as containing a certain component, this means, unless otherwise stated, that it may include other components rather than excluding them.

[0031] Furthermore, throughout the specification, when one part is described as being "connected" to another part, this includes not only cases where they are "directly connected," but also cases where they are "indirectly connected" through the interposition of other elements.

[0032] Generally, a battery cell refers to a single, physically separable, independent cell equipped with a negative terminal and a positive terminal. For example, a lithium-ion battery or a lithium-polymer battery can be considered a battery cell. A battery module can be composed of multiple battery cells connected in series and / or parallel. A battery pack can also be composed of multiple battery modules or multiple battery cells connected in series and / or parallel. The batteries described below may be battery cells, battery modules, or battery packs.

[0033] The following describes preferred embodiments of the present invention in detail with reference to the attached drawings. Figure 1 is a schematic diagram showing a battery management device 100 according to one embodiment of the present invention.

[0034] Referring to Figure 1, the battery management device 100 may include a data acquisition unit 110 and a control unit 120. The data acquisition unit 110 can be configured to acquire battery information, including at least one of the battery voltage and current.

[0035] For example, the data acquisition unit 110 can receive battery information from an external source via wired and / or wireless communication. Here, the battery information may include at least one of the battery voltage and current acquired during the battery charging and discharging process.

[0036] Preferably, in order to minimize the loss or duplication of acquired battery information, the data acquisition unit 110 can periodically receive and acquire battery information. For example, the data acquisition unit 110 can acquire battery information every 24 hours.

[0037] The control unit 120 can be configured to estimate the State of Health (SOH) of the battery based on battery information. Here, SOH is a performance index that indicates the health (aging state, degradation state) of a battery. Generally, SOH is estimated by comparing the BOL (Beginning of Life) state of the battery with the current state of the battery, and can be expressed as 0 to 1 or 0% to 100%.

[0038] For example, the control unit 120 can determine the current state of the battery based on battery information, including its capacity, internal resistance, Coulombic efficiency (CE), diffusion coefficient, or amount of active material. The control unit 120 can then compare the determined current state of the battery with a preset initial state for the BOL battery to estimate the battery's State of Health (SOH).

[0039] The control unit 120 can be configured to calculate the number of SOH points for a battery based on the reference values ​​and SOH corresponding to the SOH in a plurality of pre-set reference profiles.

[0040] Here, the SOH score is a score that evaluates and assigns a value to the battery's SOH, and can be expressed on a scale from 0 to 100 points. Specifically, the maximum and minimum SOH for a battery can be set based on various experimental data for that battery. Then, the ratio of the current SOH to the maximum and minimum SOH can be converted into an SOH score and calculated.

[0041] Multiple reference profiles can be configured to include a first reference profile (RP1) showing the maximum SOH for each unit time (e.g., seconds or nanoseconds) for the battery, and a second reference profile (RP2) showing the minimum SOH for each unit time for the battery. The first reference profile (RP1) is the SOH profile (P) that shows the highest performance for the battery in various experimental data acquired in advance, and the second reference profile (RP2) is the SOH profile (P) that shows the lowest performance for the battery in various experimental data acquired in advance. Preferably, charge-discharge experiments can be performed on batteries of the same type as the current battery under various experimental conditions, and experimental data for each experimental condition can be acquired in advance.

[0042] Figure 2 is a schematic diagram illustrating examples of multiple profiles considered by the battery management device 100 according to one embodiment of the present invention to calculate the SOH score (SCORE_SOH). Figure 3 is a schematic diagram illustrating an example of how the SOH score (SCORE_SOH) is calculated by one embodiment of the present invention.

[0043] In the embodiment shown in Figure 2, the first reference profile (RP1) may represent the maximum SOH per unit time for the battery, and the second reference profile (RP2) may represent the minimum SOH per unit time for the battery. The third reference profile (RP3) may represent the baseline SOH per unit time for the battery. The SOH profile (P) may represent the estimated SOH per unit time for the current battery.

[0044] The control unit 120 can determine a first reference value (SOH_R1) corresponding to the SOH estimated from the first reference profile (RP1), and a second reference value (SOH_R2) corresponding to the SOH estimated from the second reference profile (RP2). The control unit 120 can then be configured to calculate the SOH score (SCORE_SOH) based on the ratio of SOH to the first reference value (SOH_R1) and the second reference value (SOH_R2).

[0045] For example, the control unit 120 can normalize the second reference value (SOH_R2) to 0 and the first reference value (SOH_R1) to 100. Then, the control unit 120 can convert the estimated SOH value to one score between 0 and 100 and calculate the SOH score (SCORE_SOH).

[0046] For example, in the embodiment shown in Figure 3, the first reference value (SOH_R1) may be 96%, and the second reference value (SOH_R2) may be 78%. Then, the current SOH of the battery can be estimated to be 88%. In this case, the SOH reference interval (SOH_R) between the first reference value (SOH_R1) and the second reference value (SOH_R2) is 78% to 96%, and the size of the SOH reference interval (SOH_R) may be 18%. Therefore, the control unit 120 can calculate the SOH score (SCORE_SOH) to be 55.6 points.

[0047] In other words, the control unit 120 can evaluate the performance of the battery in terms of SOH by calculating the SOH score (SCORE_SOH) of the battery based on the maximum and minimum SOH of the battery obtained from various experimental data acquired in advance.

[0048] The control unit 120 can be configured to predict multiple states of health (SOH) of the battery during a target period (TR). Specifically, the control unit 120 can be configured to predict the State of Health (SOH) for future time points after the current time point (TC) based on the SOH of the battery estimated up to the current time point (TC). Here, the target period (TR) is the period during which the SOH value for which the RUL score (SCORE_RUL) is calculated is selected, and may be a preset period. The specific details regarding the target period (TR) will be described later.

[0049] For example, in the embodiment shown in Figure 2, the SOH for the SOH profile (P) from the present time (TC) onward may be a value predicted based on the battery's SOH estimated from the past to the present. That is, the control unit 120 can predict the future SOH based on the battery's SOH estimated from the past to the present. The control unit 120 can then generate an SOH profile (P) that includes the SOH estimated in the past, the SOH estimated at the present time (TC), and the SOH predicted for the future time.

[0050] The control unit 120 can be configured to calculate the RUL (Remaining Useful Life) score for a battery based on multiple reference values ​​and multiple SOHs corresponding to multiple SOHs in multiple reference profiles. Here, RUL is an indicator of the remaining battery life.

[0051] Specifically, the control unit 120 can determine multiple SOHs and their corresponding reference values ​​at predetermined intervals within the target period (TR). Then, it can calculate the RUL score (SCORE_RUL) for the battery based on the ratio of the multiple SOHs to the multiple reference values.

[0052] Figure 4 is a schematic diagram illustrating examples of multiple profiles considered by the battery management device 100 according to one embodiment of the present invention to calculate the RUL score (SCORE_RUL). Figure 5 is a schematic diagram illustrating an example of how the RUL score (SCORE_RUL) is calculated by one embodiment of the present invention. Figure 6 is a schematic diagram illustrating other examples of multiple profiles considered by the battery management device 100 according to one embodiment of the present invention to calculate the RUL score (SCORE_RUL).

[0053] In the embodiment shown in Figure 4, we assume that the target period (TR) is from the present time (TC) to the target time (TT). Within the target period (TR), the control unit 120 can determine a plurality of first reference values ​​(SOH_R1), a plurality of second reference values ​​(SOH_R2), and a plurality of SOH at predetermined intervals. Note that the corresponding first reference values ​​(SOH_R1), second reference values ​​(SOH_R2), and SOH relate to the same time.

[0054] Specifically, unlike the SOH score (SCORE_SOH), the RUL score (SCORE_RUL) is not calculated for each individual point in time, but rather is calculated by comprehensively analyzing the changes in SOH over the target period (TR). The control unit 120 can determine multiple first reference values ​​(SOH_R1) from the first reference profile (RP1) and multiple second reference values ​​(SOH_R2) from the second reference profile (RP2). The control unit 120 can then calculate the RUL score (SCORE_RUL) by assigning a score to the ratio of the multiple SOH values ​​to the sum of the multiple SOH values ​​in the RUL reference interval (RUL_R) formed by the multiple first reference values ​​(SOH_R1) and the multiple second reference values ​​(SOH_R2).

[0055] For example, the control unit 120 can normalize the sum of multiple first reference values ​​(SOH_R1) to 100 points and normalize the sum of multiple second reference values ​​(SOH_R2) to 0 points. Then, the control unit 120 can convert the sum of multiple SOHs into one score between 0 and 100 points and calculate the RUL score (SCORE_RUL).

[0056] For example, in the embodiment shown in Figure 5, assume that the RUL score (SCORE_RUL) is calculated based on the present time (TC), the first future time (TF1), the second future time (TF2), the third future time (TF3), and the target time (TT).

[0057] The five first reference values ​​(SOH_R1) selected from the first reference profile (RP1) may be 96%, 94%, 92%, 90%, and 88%. The five second reference values ​​(SOH_R2) selected from the second reference profile (RP2) may be 78%, 76%, 74%, 72%, and 70%. The five SOHs selected from the SOH profile (P) may be 88%, 87%, 86%, 85%, and 84%. The RUL reference interval (RUL_R) for the target interval is 370% to 460%, and the size of the RUL reference interval (RUL_R) may be 90%. Therefore, the control unit 120 can calculate the RUL score (SCORE_RUL) to be 66.7 points.

[0058] In other words, the control unit 120 can evaluate the battery's performance in terms of RUL by calculating the RUL score (SCORE_RUL) based on a plurality of first reference values ​​(SOH_R1) and a plurality of second reference values ​​(SOH_R2) during the target period (TR).

[0059] The control unit 120 can be configured to determine the battery's safety score (SCORE_SAFETY) according to the battery's safety class based on the battery information. Here, the safety rating may be an index that is calculated based on battery information and indicates the degree of safety of the battery. For example, the control unit 120 can determine the safety rating of the battery based on the voltage and / or current in the battery information.

[0060] Specifically, the control unit 120 can determine the safety rating for a battery based on the similarity between the battery information and a set number of abnormal data points. For example, the control unit 120 can calculate the similarity between the battery information and multiple abnormal data without checking for abnormal behavior in the battery information. This is because if the battery information does not show any abnormal behavior, the similarity to the abnormal data will be calculated to be low. Based on the similarity calculated for the multiple abnormal data, the control unit 120 can then determine the safety rating for the battery.

[0061] As another example, the control unit 120 can calculate the similarity between the battery information and a set number of pre-configured abnormal data, but only if abnormal behavior is detected from the battery information. This is to prevent unnecessary waste of system resources by calculating the similarity between the battery information and the set of abnormal data only when abnormal behavior is detected. The control unit 120 can determine the safety rating of the battery based on the similarity calculated for the set of abnormal data.

[0062] The control unit 120 can be configured to calculate a safety score (SCORE_SAFETY) corresponding to a safety grade based on a pre-set safety grade table.

[0063] Figure 7 is a schematic diagram illustrating an example of a safety rating table pre-configured according to one embodiment of the present invention. For example, in the embodiment shown in Figure 7, the battery safety grades can be classified into grades A, B, and C. The safety score (SCORE_SAFETY) can then be set to 100 points, 95 points, and 90 points for grades A, B, and C, respectively. Note that the safety grade table shown in Figure 7 is only one embodiment, and the number of safety grades and the safety score (SCORE_SAFETY) set for each safety grade may differ.

[0064] The battery management device 100 according to one embodiment of the present invention has the advantage of being able to evaluate the performance of a battery in various aspects by calculating the SOH score (SCORE_SOH), RUL score (SCORE_RUL), and safety score (SCORE_SAFETY) for the battery.

[0065] Furthermore, the battery management device 100 provides each performance evaluation result as a normalized score (normalized to a range of 0 to 100 points), which has the advantage of allowing users to intuitively understand the current performance of the battery.

[0066] On the other hand, the control unit 120 provided in the battery management device 100 may selectively include a processor, ASIC (application-specific integrated circuit), other chipsets, logic circuits, registers, communication modems, data processing devices, etc., that are well known in the industry, in order to execute the various control logics performed in the present invention. The control logic includes controlling the charging and discharging of the battery, such as individually controlling the charging and discharging of individual cells based on a determined safety score. Furthermore, when the control logic is implemented in software, the control unit 120 may be implemented as a collection of program modules. In this case, the program modules are stored in memory and can be executed by the control unit 120. The memory may be a non-temporary computer-readable medium, may be located inside or outside the control unit 120, and may be connected to the control unit 120 by various well known means.

[0067] The battery management device 100 may further include a storage unit 130. The storage unit 130 can store data and programs necessary for each component of the battery management device 100 to operate and function, or data generated during the process of operation and functioning. The storage unit 130 is not particularly limited in type, as long as it is a known information storage means that is known to be able to record, erase, update, and read data. As an example, the information storage means may include RAM, flash memory, ROM, EEPROM, registers, etc. The storage unit 130 can also store program code that defines processes that can be executed by the control unit 120.

[0068] The battery information acquired by the data acquisition unit 110 can be stored in the storage unit 130. The control unit 120 can access the storage unit 130 to acquire the battery information.

[0069] The following describes in detail an embodiment in which the control unit 120 calculates the SOH score (SCORE_SOH). The control unit 120 can be configured to determine the SOH reference interval (SOH_R) for the first reference value (SOH_R1) and the second reference value (SOH_R2).

[0070] Specifically, the first reference value (SOH_R1) is an SOH value determined from the first reference profile (RP1) which shows the maximum SOH for the battery, and the second reference value (SOH_R2) is an SOH value determined from the second reference profile (RP2) which shows the minimum SOH for the battery. That is, the first reference value (SOH_R1) may always be greater than or equal to the second reference value (SOH_R2). Therefore, the control unit 120 can determine the SOH interval from the second reference value (SOH_R2) to the first reference value (SOH_R1) as the SOH reference interval (SOH_R). That is, the lower limit of the SOH reference interval (SOH_R) may be the second reference value (SOH_R2), and the upper limit of the SOH reference interval (SOH_R) may be the first reference value (SOH_R1). For example, in the embodiment shown in Figure 3, the SOH reference interval (SOH_R) may be the interval from 78% to 96% of the SOH.

[0071] The control unit 120 can be configured to calculate the ratio of SOH to the SOH reference interval (SOH_R), and to calculate the SOH score (SCORE_SOH) by assigning points to the calculated ratio. Specifically, the control unit 120 can calculate the SOH score (SCORE_SOH) using the following formula 1.

[0072] [Formula 1]

number

[0073] Here, SCORE_SOH is the SOH score, SOH_R1 is the first reference value, SOH_R2 is the second reference value, and SOH_P is the estimated SOH value of the battery. 100 is an optional constant added to represent the SOH score (SCORE_SOH) as being between 0 and 100.

[0074] For example, in the embodiment shown in Figure 3, the size of the SOH reference interval (SOH_R) is 18%, calculated using the formula "96%-78%". The difference between the estimated SOH (SOH_P) and the second reference value (SOH_R2) is 10%, calculated using the formula "88%-78%". Therefore, the SOH score (SCORE_SOH) is 55.6, calculated using the formula "10%÷18%×100".

[0075] The following describes in detail an embodiment in which the control unit 120 calculates the RUL score (SCORE_RUL). The control unit 120 can determine multiple first reference values ​​(SOH_R1) for the target period (TR) from the first reference profile (RP1), and multiple second reference values ​​(SOH_R2) for the target period (TR) from the second reference profile (RP2). For example, the control unit 120 can determine the first reference values ​​(SOH_R1) and second reference values ​​(SOH_R2) at predetermined intervals within the target period (TR).

[0076] For example, in the embodiment shown in Figure 5, the control unit 120 can determine a first reference value (SOH_R1) and a second reference value (SOH_R2) at the present time (TC), the first future time (TF1), the second future time (TF2), the third future time (TF3), and the target time (TT), respectively. The determined first reference value (SOH_R1) is 96%, 94%, 92%, 90%, and 88%, and the determined second reference value (SOH_R2) is 78%, 76%, 74%, 72%, and 70%.

[0077] The control unit 120 can be configured to calculate the RUL score (SCORE_RUL) based on the ratio of multiple SOHs to multiple first reference values ​​(SOH_R1) and multiple second reference values ​​(SOH_R2).

[0078] For example, in the embodiment shown in Figure 5, the control unit 120 can estimate the battery's state of health (SOH_P) at the present time (TC), the first future time (TF1), the second future time (TF2), the third future time (TF3), and the target time (TT). The estimated SOH(SOH_P) values ​​are 88%, 87%, 86%, 85%, and 84%.

[0079] Specifically, the control unit 120 can be configured to determine the RUL reference interval (RUL_R) for the sum of a plurality of first reference values ​​(SOH_R1) and the sum of a plurality of second reference values ​​(SOH_R2).

[0080] For example, in the embodiment shown in Figure 5, the sum of multiple first reference values ​​(SOH_R1) is 460%, and the sum of multiple second reference values ​​(SOH_R2) is 370%. The control unit 120 can determine the SOH interval, which is the sum of the multiple second reference values ​​(SOH_R2) to the sum of the multiple first reference values ​​(SOH_R1), as the RUL reference interval (RUL_R). That is, the lower limit of the RUL reference interval (RUL_R) may be the sum of the multiple second reference values ​​(SOH_R2), and the upper limit of the RUL reference interval (RUL_R) may be the sum of the multiple first reference values ​​(SOH_R1).

[0081] The control unit 120 can be configured to calculate the ratio of the sum of multiple SOHs (SOH_P) to the RUL reference interval (RUL_R), and to calculate the RUL score (SCORE_RUL) by assigning a score to the calculated ratio. Specifically, the control unit 120 can calculate the RUL score (SCORE_RUL) using the following formula 2.

[0082] [Formula 2]

number

[0083] Here, SCORE_RUL is the RUL score, ΣSOH_R1 is the sum of multiple first reference values, ΣSOH_R2 is the sum of multiple second reference values, and ΣSOH_P is the sum of multiple SOHs. 100 is an optional constant added to represent the RUL score (SCORE_RUL) as being between 0 and 100.

[0084] For example, in the embodiment shown in Figure 5, the size of the RUL reference interval (RUL_R) is 90%, calculated using the formula "460%-370%". The difference between the sum of multiple SOHs (SOH_P) and the sum of multiple second reference values ​​(SOH_R2) is 60%, calculated using the formula "430%-370%". Therefore, the RUL score (SCORE_RUL) is 66.7, calculated using the formula "60%÷90%×100".

[0085] In other words, the SOH score (SCORE_SOH) is calculated based on a first reference value (SOH_R1), a second reference value (SOH_R2), and an estimated SOH (SOH_P) for a single point in time, while the RUL score (SCORE_RUL) is calculated based on multiple first reference values ​​(SOH_R1), multiple second reference values ​​(SOH_R2), and multiple SOHs (SOH_P) determined from the target period (TR). Therefore, the SOH score (SCORE_SOH) and the RUL score (SCORE_RUL) can be evaluated as performance indicators for batteries, respectively.

[0086] On the other hand, the target period (TR) considered when calculating the RUL score (SCORE_RUL) may be a predetermined period. Preferably, the target period (TR) may be the period from the current time (TC) to a future target time (TT).

[0087] For example, the target period (TR) can be set to the period from the current time (TC) when the State of Health (SOH) is estimated to the expiration of the predetermined warranty period for the battery.

[0088] Generally, batteries degrade with use, so battery manufacturers set a warranty period to guarantee the performance of their batteries. For example, the warranty period for a battery can be set to 5 or 10 years. The control unit 120 can check the warranty period set for the battery and set the period from the current time to the expiration of the warranty period as the target period (TR).

[0089] For example, in the embodiment shown in Figure 4, the target time (TT), which is the expiration date of the warranty period, may be TT. Therefore, the control unit 120 can set the target period (TR) to be from the current time (TC) to the target time (TT). The control unit 120 can then calculate the RUL score (SCORE_RUL) based on a plurality of first reference values ​​(SOH_R1), a plurality of second reference values ​​(SOH_R2), and a plurality of SOHs during the target period (TR). As another example, the target period (TR) may be set to correspond to a predetermined threshold (TH).

[0090] Multiple reference profiles can be configured to include a third reference profile (RP3) that shows the average SOH per unit time for the battery. The control unit 120 can be configured to determine a target time point (TT) corresponding to a preset threshold (TH) from a third reference profile (RP3).

[0091] Here, the third reference profile (RP3) may be the SOH profile (P) that shows the SOH of a reference battery. That is, the third reference profile (RP3) may mean the SOH profile shown when the battery is operated under recommended conditions. For example, the third reference profile (RP3) may be the SOH profile shown when a reference battery included in an electric vehicle is operated under recommended conditions.

[0092] The control unit 120 can determine a target time point (TT) corresponding to a preset threshold (TH) from the third reference profile (RP3). For example, in the embodiment shown in Figure 6, the target time point (TT) corresponding to the preset threshold (TH) may be TT.

[0093] For example, the threshold (TH) may be a pre-set guaranteed SOH for the battery. The guaranteed SOH is a lower limit SOH value set to allow for battery maintenance, and like the warranty period, it can be set by the battery manufacturer.

[0094] As another example, the threshold (TH) may be a predetermined percentage of the current SOH, where the predetermined percentage may be any one of the ranges from 0% to less than 100%. For example, the threshold (TH) may be an SOH value that corresponds to 80% of the currently estimated SOH.

[0095] Finally, the control unit 120 can be configured to set the target period (TR) to the period from the current time (TC) in which the SOH is estimated to the target time (TT).

[0096] For example, in the embodiment shown in Figure 6, the control unit 120 can set the target period (TR) to the time from the current time (TC) to the target time (TT). The control unit 120 can then calculate the RUL score (SCORE_RUL) based on a plurality of first reference values ​​(SOH_R1), a plurality of second reference values ​​(SOH_R2), and a plurality of SOHs during the target period (TR).

[0097] The following describes in detail an embodiment in which the control unit 120 calculates the safety score (SCORE_SAFETY). However, for the sake of clarity, an embodiment in which the control unit 120 calculates the safety score (SCORE_SAFETY) based on voltage will be described.

[0098] The control unit 120 can be configured to determine abnormal behavior with respect to battery information. Specifically, the control unit 120 can determine whether or not abnormal behavior has occurred based on the battery's voltage profile. Here, the voltage profile is a profile showing the battery's voltage distribution over time. Abnormal behavior means that the battery's voltage has fallen outside the normal range at one or more points in time.

[0099] The control unit 120 can be configured to calculate the similarity between a predetermined abnormal behavior and a preset abnormal profile. Here, the abnormal profile is a set of experimental data obtained in advance through experiments, and may be a profile in which abnormal behavior occurred from the voltage profile. The control unit 120 can calculate the similarity between the predetermined abnormal behavior for the battery and the set of abnormal profiles. A conventional similarity judgment algorithm can be applied to measure the similarity between two profiles (the battery voltage profile and the abnormal profile).

[0100] The control unit 120 can be configured to determine the safety rating based on the calculated similarity. For example, a safety rating may be predetermined for each of the multiple abnormal profiles. Therefore, the control unit 120 can determine the safety rating for the battery based on the similarity between the abnormal behavior of the voltage profile and each of the multiple abnormal profiles.

[0101] For example, in the embodiment shown in Figure 7, the safety rating can be set to A, B, or C. Furthermore, the control unit 120 can be configured to calculate a safety score (SCORE_SAFETY) corresponding to a safety grade based on a pre-set safety grade table.

[0102] The safety rating table can store safety ratings mapped to their corresponding safety scores (SCORE_SAFETY). Therefore, the control unit 120 can calculate the safety scores (SCORE_SAFETY) corresponding to a given safety rating by considering the safety rating table.

[0103] For example, in the embodiment shown in Figure 7, the safety score (SCORE_SAFETY) can be set to 100 points, 95 points, and 90 points for grades A, B, and C, respectively.

[0104] The following describes one embodiment in which the control unit 120 checks for abnormal battery behavior. The control unit 120 can determine an observation matrix that shows the voltage profile over time.

[0105] The control unit 120 can then apply matrix decomposition to the observation matrix to extract the first submatrix, the second submatrix, and the third submatrix.

[0106] Here, the control unit 120 can apply matrix decomposition to the observation matrix using algorithms such as singular value decomposition (SVD) or principal component analysis (PCA).

[0107] Through matrix decomposition, the observation matrix can be decomposed into a first submatrix, a second submatrix, and a third submatrix. The first submatrix may be an m×m matrix, the second submatrix an m×n matrix, and the third submatrix an n×n matrix. Here, the product of the first, second, and third submatrixes is identical to the observation matrix. Also, n represents the number of batteries, and m represents the number of measured voltages. That is, an m×n matrix means that m voltages were measured for each of the n batteries. Since matrix factorization is a widely used technique, a detailed theoretical explanation of it will be omitted.

[0108] The first submatrix is ​​an orthogonal matrix containing multiple principal component vectors that represent the dispersion information of the observation matrix. Each of these principal component vectors can be called a left singular vector. Each principal component vector contains m elements and may be a column vector of the first submatrix.

[0109] The second submatrix can be a diagonal matrix, where all elements except the n elements on the main diagonal may be zero. The third submatrix, as an orthogonal matrix, contains multiple coefficient vectors that indicate the degree of dependence on multiple principal component vectors. Each of these coefficient vectors can be called a right singular vector.

[0110] The control unit 120 can determine which principal component vectors contain ineffective coefficients from among the multiple principal component vectors included in the third submatrix. For example, the control unit 120 can calculate the average of multiple coefficients for each principal component vector. Then, the control unit 120 can determine which principal component vectors contain coefficients (corresponding to ineffective coefficients) that differ from the calculated average by a preset first reference value or more.

[0111] The control unit 120 can then determine a partial voltage vector corresponding to a predetermined principal component vector from the observation matrix. Here, the partial voltage vector may be an m×1 matrix. The control unit 120 can determine that abnormal behavior has occurred in the battery corresponding to the partial voltage vector if the difference between the maximum and minimum partial voltages of the partial voltage vector is greater than or equal to a preset second reference value.

[0112] Finally, the control unit 120 can determine the similarity between the voltage profile of the battery exhibiting abnormal behavior and a set of pre-configured abnormal profiles, and determine the safety rating of the battery based on the determination result. Then, the control unit 120 can calculate the battery's safety score (SCORE_SAFETY) based on the determined safety rating.

[0113] The control unit 120 can be configured to determine the battery life score by adding up pre-set weight values ​​corresponding to the SOH score (SCORE_SOH), RUL score (SCORE_RUL), and safety score (SCORE_SAFETY).

[0114] Here, the lifespan score may be a score obtained by the control unit 120 by comprehensively evaluating the SOH score (SCORE_SOH), RUL score (SCORE_RUL), and safety score (SCORE_SAFETY). Specifically, the control unit 120 can determine the battery's lifespan score using the following formula 3.

[0115] [Formula 3]

number

[0116] Here, SCORE_LIFE is the battery life score, SCORE_SOH is the SOH score, SCORE_RUL is the RUL score, and SCORE_SAFETY is the safety score. Then, a is the first weight added to the SOH score (SCORE_SOH), b is the second weight added to the RUL score (SCORE_RUL), and c is the third weight added to the safety score (SCORE_SAFETY).

[0117] For example, the sum of a, b, and c may be 1. That is, the sum of the first score corresponding to ratio a in the SOH score (SCORE_SOH), the second score corresponding to ratio b in the RUL score (SCORE_RUL), and the third score corresponding to ratio c in the Safety score (SCORE_SAFETY) can be calculated as the battery life score (SCORE_LIFE).

[0118] A battery management device 100 according to one embodiment of the present invention has the advantage of not only being able to provide detailed scores for batteries, such as the State of Health (SOH) score (SCORE_SOH), the Rule of Life (RUL) score (SCORE_RUL), and the Safety (SCORE_SAFETY) score, but also being able to provide a battery life score (SCORE_LIFE) calculated by combining these detailed scores. Therefore, users can check the detailed scores for the battery management device 100, and they can also check the battery life score (SCORE_LIFE), which is the overall score. In particular, if a user does not accurately understand the meaning of the detailed scores, they can intuitively check the performance evaluation results for the battery they are using by checking the battery life score (SCORE_LIFE), which is an advantage.

[0119] Figure 8 is a schematic diagram illustrating an exemplary configuration of a battery system 1 according to another embodiment of the present invention. Another embodiment of the present invention, the battery system 1, may include a battery management device 100 according to one embodiment of the present invention.

[0120] Referring to Figure 8, the battery system 1 may include a battery management device 100, a BMS 200, and a user terminal 300. The battery management device 100 and the BMS 200 can be connected to each other via a wired and / or wireless network so that they can communicate with one another. The battery management device 100 and the user terminal 300 can also be connected to each other via a wireless network so that they can communicate with one another.

[0121] For example, the BMS200 can be installed in a user's electric vehicle. The BMS200 can measure battery information such as voltage and current of the battery pack installed in the electric vehicle and transmit the measured battery information to the battery management device 100. Specifically, the BMS200 can transmit the battery information to the data acquisition unit 110 of the battery management device 100.

[0122] The battery management device 100 can store battery information received from the BMS 200. When it receives a request message for the battery life score from the user terminal 300, it can calculate the battery life score based on the stored battery information and send a response message to the user terminal 300 for the calculated battery life score.

[0123] For example, the battery management device 100 can be included in a server device such as a cloud server, which can connect the BMS 200 and the user terminal 300. Furthermore, the battery management device 100 can provide battery life scores for multiple users. It can also provide statistical information on the battery life scores of multiple users.

[0124] The user terminal 300 can send a request message to the battery management device 100 regarding the battery's remaining battery life and receive a response message corresponding to the request message. The battery's remaining battery life, as indicated in the response message, can be output via the display unit of the user terminal 300.

[0125] Figure 9 is a schematic diagram illustrating an example of the lifetime point output provided to the user by one embodiment of the present invention. For example, in the embodiment shown in Figure 9, let's assume that the battery life score is set to 73 points. The battery life score (SCORE_LIFE) can be output from the user terminal 300. In addition, statistical information can be provided indicating that the battery life score (SCORE_LIFE) of a given user is in the bottom 45% of the battery life scores of multiple users.

[0126] Users can request scores for detailed items such as SOH score (SCORE_SOH), RUL score (SCORE_RUL), and safety score (SCORE_SAFETY), as well as the battery life score (SCORE_LIFE) which corresponds to the overall score. Users can also compare their own battery life score with the battery life scores of multiple users.

[0127] Furthermore, the battery management device 100 can transmit guide information corresponding to the battery life score, SOH score (SCORE_SOH), RUL score (SCORE_RUL), and safety score (SCORE_SAFETY) to the user terminal 300. In other words, the user can receive appropriate guide information from the battery management device 100 that can improve the battery life.

[0128] Figure 10 is a schematic diagram illustrating an exemplary configuration of a battery pack 2 according to another embodiment of the present invention. A battery pack 2 according to yet another embodiment of the present invention may include a battery management device 100 according to one embodiment of the present invention. The battery pack 2 may further include electrical components (such as relays and fuses) and a case.

[0129] The positive terminal of battery 10 can be connected to the positive terminal (P+) of battery pack 2, and the negative terminal of battery 10 can be connected to the negative terminal (P-) of battery pack 2.

[0130] The BMS200 can be connected to a first sensing line (SL1), a second sensing line (SL2), and a third sensing line (SL3). Specifically, the BMS200 may include a measurement module capable of periodically measuring the voltage and current of the battery 10.

[0131] The BMS200 can be connected to the positive terminal of the battery 10 via a first sensing line (SL1) and to the negative terminal of the battery 10 via a second sensing line (SL2). The BMS200 can measure the voltage of the battery 10 based on the voltages measured at the first sensing line (SL1) and the second sensing line (SL2), respectively.

[0132] The BMS200 can be connected to a current measurement unit (A) via a third sensing line (SL3). For example, the current measurement unit (A) may be an ammeter or shunt resistor capable of measuring the charging and discharging currents of the battery 10. The BMS200 can measure the charging current of the battery 10 via the third sensing line (SL3) and calculate the charge amount. The BMS200 can also measure the discharging current of the battery 10 via the third sensing line (SL3) and calculate the discharge amount.

[0133] Although not shown in Figure 10, the BMS200 can also be configured to further measure the temperature of the battery 10. The BMS200 can transmit the measured battery information to the battery management device 100. Specifically, the BMS200 can transmit the measured battery information to the data acquisition unit 110 of the battery management device 100.

[0134] Although the battery management device 100 and the BMS 200 have been described above as separate components, in some embodiments, the battery management device 100 may be included as a component of the BMS 200. That is, the battery management device 100 according to the present invention can be applied to a BMS 200 (Battery Management System). In other words, the BMS 200 according to the present invention can include the battery management device 100 described above. In this configuration, at least some of the components of the battery management device 100 can be realized by complementing or adding the functions of components included in a conventional BMS 200. For example, the data acquisition unit 110, the control unit 120, and the storage unit 130 of the battery management device 100 can be realized as components of the BMS 200.

[0135] Figures 11 and 12 schematically illustrate a battery management method according to yet another embodiment of the present invention. Preferably, each step of the battery management method can be performed by the battery management device 100. The following explanation will omit or briefly describe any content that overlaps with what has been described above.

[0136] Referring to Figure 11, the battery management method may include a step of acquiring battery information (S100), a step of calculating SOH points (S200), a step of calculating RUL points (S300), and a step of calculating safety points (S400).

[0137] However, although Figure 11 shows an embodiment in which the steps for calculating SOH points (S200), RUL points (S300), and safety points (S400) are performed sequentially, the steps for calculating SOH points (S200), RUL points (S300), and safety points (S400) are independent steps. Therefore, it should be noted that the execution order of the steps for calculating SOH points (S200), RUL points (S300), and safety points (S400) is not limited by the embodiment in Figure 11.

[0138] The battery information acquisition step (S100) is a step of acquiring battery information, which includes at least one of the battery voltage and current, and can be performed by the data acquisition unit 110.

[0139] The SOH score calculation step (S200) is a step in which the SOH of the battery is estimated based on the battery information, and the SOH score (SCORE_SOH) for the battery is calculated based on the reference value and SOH corresponding to the SOH in a plurality of pre-set reference profiles, and this step can be performed by the control unit 120.

[0140] The control unit 120 can estimate the battery's State of Health (SOH_P) based on the battery information. Then, based on the estimated SOH (SOH_P), the control unit 120 can determine the first reference value (SOH_R1) from the first reference profile (RP1) and the second reference value (SOH_R2) from the second reference profile (RP2). Finally, the control unit 120 can calculate the SOH score (SCORE_SOH) by assigning a score to the ratio of the estimated SOH (SOH_P) to the SOH reference interval (SOH_R) determined by the first reference value (SOH_R1) and the second reference value (SOH_R2).

[0141] The RUL score calculation step (S300) is a step in which multiple SOHs of the battery are predicted during the target period (TR), and the RUL score (SCORE_RUL) for the battery is calculated based on multiple reference values ​​corresponding to multiple SOHs in multiple reference profiles and multiple SOHs, and this can be performed by the control unit 120.

[0142] The control unit 120 can select multiple SOHs (SOH_P) from the SOH profile (P) during the target period (TR). Furthermore, based on the selected multiple SOHs (SOH_P), the control unit 120 can determine multiple first reference values ​​(SOH_R1) from the first reference profile (RP1) and multiple second reference values ​​(SOH_R2) from the second reference profile (RP2). Finally, the control unit 120 can calculate the RUL score (SCORE_RUL) by assigning a score to the ratio of the multiple SOHs to the sum of the multiple SOHs within the RUL reference interval (RUL_R) formed by the multiple first reference values ​​(SOH_R1) and the multiple second reference values ​​(SOH_R2).

[0143] The safety score calculation step (S400) is a step in which the safety score (SCORE_SAFETY) of the battery is calculated according to the safety class of the battery based on the battery information, and can be performed by the control unit 120.

[0144] The control unit 120 can determine a safety rating for a battery based on the similarity between the battery information and a set number of anomaly data points. The control unit 120 can then calculate a safety score (SCORE_SAFETY) for the determined safety rating based on the safety rating table.

[0145] The battery management method has the advantage of being able to evaluate the performance of batteries in various aspects by calculating the SOH score (SCORE_SOH), RUL score (SCORE_RUL), and safety score (SCORE_SAFETY) based on battery information.

[0146] Referring to Figure 12, the battery management method may further include a step (S500) for determining the battery lifespan. The battery life score determination step (S500) is a step in which the battery life score is determined by adding up pre-set weight values ​​corresponding to the SOH score (SCORE_SOH), RUL score (SCORE_RUL), and safety score (SCORE_SAFETY), and can be performed by the control unit 120.

[0147] The control unit 120 can add a first weight to the SOH score (SCORE_SOH), a second weight to the RUL score (SCORE_RUL), and a third weight to the safety score (SCORE_SAFETY). The control unit 120 can then sum the weighted SOH score (SCORE_SOH), RUL score (SCORE_RUL), and safety score (SCORE_SAFETY) to determine the battery life score (SCORE_LIFE).

[0148] The battery management method can not only calculate scores for detailed items such as SOH score (SCORE_SOH), RUL score (SCORE_RUL), and safety score (SCORE_SAFETY), but can also determine a battery life score (SCORE_LIFE) by combining these scores. Therefore, users can objectively check the current state of their battery by looking at the battery life score (SCORE_LIFE), which is the overall indicator.

[0149] The embodiments of the present invention described above are not limited to being implemented through apparatus and methods, but may also be implemented through a program that implements the functions corresponding to the configuration of the embodiments of the present invention, or through a recording medium on which such a program is recorded. Such implementation can be easily achieved by experts in the art to which the present invention belongs, based on the above-described embodiments.

[0150] Although the present invention has been described above with reference to limited embodiments and drawings, it goes without saying that the present invention is not limited thereto, and that various modifications and variations are possible within the scope equivalent to the technical concept and claims of the present invention by persons with ordinary skill in the art to which the present invention pertains.

[0151] Furthermore, the present invention described above can be substituted, modified, and altered in various ways without departing from the technical spirit of the invention, by any person with ordinary skill in the art to which the invention belongs. Therefore, it is not limited to the embodiments described above and the accompanying drawings, and all or part of each embodiment may be selectively combined to allow for a variety of modifications.

Claims

1. A data acquisition unit that acquires battery information including at least one of the battery voltage and current, A control unit that estimates the State of Health (SOH) of the battery based on the battery information, calculates an SOH score for the battery based on the reference values ​​corresponding to the SOH in multiple reference profiles and the SOH, predicts multiple SOHs of the battery during the target period, calculates a RUL score for the battery based on the multiple reference values ​​corresponding to the multiple SOHs in the multiple reference profiles and the multiple SOHs, calculates the similarity between the abnormal behavior of the battery information and a preset abnormal profile, determines the safety class of the battery based on the calculated similarity, and determines the safety score of the battery according to the safety class, Battery management device including

2. The aforementioned multiple reference profiles are The battery management device according to claim 1, comprising a first reference profile plotting the maximum SOH per unit time from among a plurality of profiles for the battery, and a second reference profile plotting the minimum SOH per unit time from among the plurality of profiles for the battery.

3. The control unit, The battery management device according to claim 2, wherein a first reference value corresponding to the SOH is determined from the first reference profile, a second reference value corresponding to the SOH is determined from the second reference profile, and the SOH score is calculated based on the ratio of the SOH to the first reference value and the second reference value.

4. The control unit, The battery management device according to claim 3, comprising determining an SOH reference interval for the first reference value and the second reference value, calculating the ratio of the SOH to the SOH reference interval, and converting the calculated ratio into points to calculate the SOH score.

5. The control unit, The battery management device according to claim 2, wherein a plurality of first reference values ​​for the target period are determined from the first reference profile, a plurality of second reference values ​​for the target period are determined from the second reference profile, and the RUL score is calculated based on the ratio of the plurality of SOH to the plurality of first reference values ​​and the plurality of second reference values.

6. The control unit, The battery management device according to claim 5, comprising determining a RUL reference interval for the sum of the plurality of first reference values ​​and the sum of the plurality of second reference values, calculating the ratio of the sum of the plurality of SOHs to the RUL reference interval, and calculating the RUL score by converting the calculated ratio into points.

7. The aforementioned multiple reference profiles are It is configured to include a third reference profile for determining the aforementioned target period, The control unit, The battery management device according to claim 2, wherein a target time point corresponding to a preset threshold is determined from the third reference profile, and the period from the current time point in which the SOH is estimated to the target time point is set as the target period.

8. The aforementioned target period is The battery management device according to claim 1, which is set for a period from the present time when the State of Health (SOH) is estimated to the expiration of the warranty period predetermined for the battery.

9. The control unit, The battery management device according to claim 1, which calculates the safety points corresponding to the safety class based on a pre-set safety class table.

10. The control unit, The battery management device according to claim 9, which determines the abnormal behavior with respect to the battery information, calculates the similarity between the determined abnormal behavior and the abnormal profile, and determines the safety class based on the calculated similarity.

11. The control unit, The battery management device according to claim 1, wherein the battery life score is determined by adding and summing weighted values ​​that are set in advance to correspond to the SOH score, the RUL score, and the safety score, respectively.

12. A battery system including a battery management device according to any one of claims 1 to 11.

13. A battery pack including a battery management device according to any one of claims 1 to 11.

14. A battery information acquisition step that acquires battery information including at least one of the battery voltage and current, A step to calculate the number of SOH points for the battery, which involves estimating the SOH of the battery based on the battery information, and calculating the number of SOH points for the battery based on the reference value corresponding to the SOH in a plurality of pre-set reference profiles and the SOH; A step of calculating RUL points for the battery is to predict multiple SOHs of the battery during the target period, and calculate the RUL points for the battery based on multiple reference values ​​corresponding to the multiple SOHs in the multiple reference profiles and the multiple SOHs, A step of calculating the similarity between the abnormal behavior with respect to the battery information and a pre-set abnormal profile, A step of determining the safety rating of the battery based on the calculated similarity, A safety score calculation step for calculating the safety score of the battery according to the safety class, Battery management methods including

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