Battery analysis device, battery analysis method and recording medium

Abstract

According to some embodiments, a battery analysis device comprises a memory and a processor operatively connected to the memory, wherein the processor is configured to: specify a plurality of battery analysis elements required for analyzing battery characteristics; identify a plurality of reference analysis models pre-established in relation to some of the plurality of battery analysis elements in order to analyze the battery characteristics; and reflect the plurality of battery analysis element so as to derive, on the basis of the plurality of reference analysis models, a target analysis model for analyzing the battery characteristics.

Description

Battery analysis device, battery analysis method and recording medium

[0001] Cross-citation with related applications

[0002] This application claims the benefit of priority to Republic of Korea Patent Application No. 10-2023-0160241, filed November 20, 2023, the entire contents of which are incorporated herein by reference.

[0003] Technology field

[0004] The embodiments disclosed in this document relate to a battery analysis device, a battery analysis method, and a recording medium.

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

[0006] Experiments can be conducted to analyze battery characteristics under specific conditions, and battery analysis models can be created based on the experimental results. For example, a relationship modeling battery life degradation for a specific cell design can be created through experiments. The process of creating an analysis model can be time-consuming, requiring extensive experimentation and data acquisition.

[0007] One purpose of the embodiments disclosed in this document is to provide a battery analysis device, a battery analysis method, and a recording medium that can simplify the process of creating an analysis model by utilizing similar models.

[0008] The technical objectives of the embodiments disclosed in this document are not limited to the technical tasks mentioned above, and other technical tasks not mentioned will be clearly understood by those skilled in the art from the descriptions below.

[0009] According to some embodiments, a battery analysis device includes a memory; and a processor operatively connected to the memory, wherein the processor is configured to specify a plurality of battery analysis elements required to analyze a battery characteristic, identify a plurality of reference analysis models established in advance in relation to some of the plurality of battery analysis elements to analyze the battery characteristic, and derive a target analysis model that analyzes the battery characteristic by reflecting the plurality of battery analysis elements based on the plurality of reference analysis models.

[0010] According to some embodiments, the battery characteristics include battery life degradation characteristics, and the plurality of battery analysis elements include a first element related to the design of the battery cell and a second element related to the SOC range of the charge / discharge cycle.

[0011] According to some embodiments, the battery life degradation characteristic is expressed as a variation in the internal resistance of the battery according to the number of charge / discharge cycles, and the plurality of reference analysis models include a plurality of relationships between the number of charge / discharge cycles and the variation in the internal resistance of the battery.

[0012] According to some embodiments, the plurality of relations of the plurality of reference analysis models includes a first relation relating to a first reference element different from the first element and the second element, a second relation relating to a second reference element different from the first element and the second element, and a third relation relating to the first reference element and the second reference element.

[0013] According to some embodiments, the first relation, the second relation, and the third relation include a first exponential relation, a second exponential relation, and a third exponential relation derived through numerical analysis fitting to experimental data regarding the number of charge / discharge cycles and the variation of the internal resistance of the battery.

[0014] According to some embodiments, the processor is configured to derive a target index relation of the target analysis model based on a proportional relationship using the first index relation, the second index relation, and the third index relation.

[0015] According to some embodiments, the processor is configured to derive a first influence value due to a change in the first element based on a difference between the second index relation and the third index relation, derive a second influence value due to a change in the second element based on a difference between the first index relation and the third index relation, and derive a target index relation of the target analysis model by applying the first influence value and the second influence value to the third index relation.

[0016] According to some embodiments, the first exponential relation, the second exponential relation, and the third exponential relation are configured in the form of y = A1*exp(x / t1) + y0, and the first influence value and the second influence value include a variation of at least one of the coefficients (A1, t1, y0).

[0017] According to some embodiments, a battery analysis method includes the steps of: specifying a plurality of battery analysis elements required to analyze battery characteristics; identifying a plurality of reference analysis models established in advance in relation to some of the plurality of battery analysis elements to analyze the battery characteristics; and deriving a target analysis model that analyzes the battery characteristics by reflecting the plurality of battery analysis elements based on the plurality of reference analysis models.

[0018] According to some embodiments, the battery characteristics include battery life degradation characteristics, and the plurality of battery analysis elements include a first element related to the design of the battery cell and a second element related to the SOC range of the charge / discharge cycle.

[0019] According to some embodiments, the battery life degradation characteristic is expressed as a variation in the internal resistance of the battery according to the number of charge / discharge cycles, and the plurality of reference analysis models include a plurality of relationships between the number of charge / discharge cycles and the variation in the internal resistance of the battery.

[0020] According to some embodiments, the plurality of relations of the plurality of reference analysis models includes a first relation relating to a first reference element different from the first element and the second element, a second relation relating to a second reference element different from the first element and the second element, and a third relation relating to the first reference element and the second reference element.

[0021] According to some embodiments, the first relation, the second relation, and the third relation include a first exponential relation, a second exponential relation, and a third exponential relation derived through numerical analysis fitting to experimental data regarding the number of charge / discharge cycles and the variation of the internal resistance of the battery.

[0022] According to some embodiments, the step of deriving the target analysis model includes the step of deriving a target index relation of the target analysis model based on a proportional relationship using the first index relation, the second index relation, and the third index relation.

[0023] According to some embodiments, the step of deriving the target analysis model includes: deriving a first influence value due to a change in the first element based on a difference between the second index relation and the third index relation; deriving a second influence value due to a change in the second element based on a difference between the first index relation and the third index relation; and deriving a target index relation of the target analysis model by applying the first influence value and the second influence value to the third index relation.

[0024] According to some embodiments, the first exponential relation, the second exponential relation, and the third exponential relation are configured in the form of y = A1*exp(x / t1) + y0, and the first influence value and the second influence value include a variation of at least one of the coefficients (A1, t1, y0).

[0025] According to some embodiments, a non-transitory computer-readable recording medium stores instructions that, when executed by at least one processor, cause the at least one processor to perform the following operations: specifying a plurality of battery analysis elements required for analyzing a battery characteristic; identifying a plurality of reference analysis models established in advance in relation to some of the plurality of battery analysis elements for analyzing the battery characteristic; and deriving a target analysis model for analyzing the battery characteristic by reflecting the plurality of battery analysis elements based on the plurality of reference analysis models.

[0026] According to some embodiments, the battery characteristics include battery life degradation characteristics, and the plurality of battery analysis elements include a first element related to the design of the battery cell and a second element related to the SOC range of the charge / discharge cycle.

[0027] According to some embodiments, the battery life degradation characteristic is expressed as a variation in the internal resistance of the battery according to the number of charge / discharge cycles, and the plurality of reference analysis models include a plurality of relationships between the number of charge / discharge cycles and the variation in the internal resistance of the battery.

[0028] According to some embodiments, the plurality of relations of the plurality of reference analysis models includes a first relation relating to a first reference element different from the first element and the second element, a second relation relating to a second reference element different from the first element and the second element, and a third relation relating to the first reference element and the second reference element.

[0029] According to the embodiments disclosed in this document, a battery analysis device, a battery analysis method, and a recording medium can be provided that can simplify the process of creating an analysis model, which takes a long time, by utilizing similar models that have already been created.

[0030] The technical effects according to the embodiments disclosed in this document are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art according to the disclosure of this document.

[0031] FIG. 1 may illustrate elements constituting a battery analysis system according to some embodiments.

[0032] FIG. 2 may illustrate elements constituting a battery analysis device according to some embodiments.

[0033] Figure 3 can illustrate a problem in a method of creating an analysis model based on a linear trend line according to conventional technology.

[0034] FIG. 4 may illustrate a plurality of pre-established reference analysis models in relation to some of the plurality of battery analysis elements according to some embodiments.

[0035] FIG. 5 may illustrate a plurality of relational expressions representing a plurality of reference analysis models according to some embodiments.

[0036] FIG. 6 illustrates a process for deriving a target analysis model using impact values ​​resulting from changes in each battery analysis element according to some embodiments.

[0037] FIG. 7 may illustrate steps of a battery analysis method according to some embodiments.

[0038] Hereinafter, embodiments described in this document are described with reference to the attached drawings. However, this is not intended to limit the disclosure of this document to specific embodiments, and it should be understood that various modifications, equivalents, and / or alternatives of the embodiments described in this document are included.

[0039] The embodiments and terminology used in this document are not intended to limit the technical features described in this document to a specific embodiment, but should be understood to encompass various modifications, equivalents, or alternatives of the embodiment. In connection with the description of the drawings, similar reference numerals may be used to refer to similar or related components. The singular form of a noun corresponding to an item may include one or more of the item, unless the context clearly indicates otherwise.

[0040] In this document, the phrases "A or B", "at least one of A and B", "at least one of A or B", "A, B, or C", "at least one of A, B, and C", and "at least one of A, B, or C" can each include any one of the items listed together in that phrase, or all possible combinations thereof. Terms such as "first", "second", "first", "second", "A", "B", "(a)", or "(b)" may be used merely to distinguish the corresponding component from other corresponding components, and do not limit the corresponding components in any other respect (e.g., importance or order) unless specifically stated otherwise.

[0041] In this document, when a component (e.g., a first component) is referred to as being “connected,” “coupled,” or “connected,” with or without the terms “functionally” or “communicatively,” or “coupled” or “connected,” it means that the component can be connected to the other component directly (e.g., wired or wirelessly), or indirectly (e.g., via a third component).

[0042] The methods according to various embodiments disclosed in this document may be provided as a computer program product. The computer program product may be traded as a commodity between a seller and a buyer. The computer program product may be distributed in the form of a machine-readable storage medium (e.g., compact disc read-only memory, CD-ROM), or may be distributed online (e.g., downloaded or uploaded) through an application store or directly between two user devices. In the case of online distribution, at least a portion of the computer program product may be temporarily stored or temporarily generated in a machine-readable storage medium, such as the memory of a manufacturer's server, an application store's server, or an intermediary server.

[0043] According to the embodiments disclosed in this document, each component (e.g., a module or a program) of the above-described components may include one or more entities, and some of the entities may be separated and placed in other components. According to the embodiments disclosed in this document, one or more components or operations of the aforementioned components may be omitted, or one or more other components or operations may be added. Alternatively or additionally, a plurality of components (e.g., a module or a program) may be integrated into a single component. In this case, the integrated component may perform one or more functions of each of the plurality of components identically or similarly to those performed by the corresponding component among the plurality of components prior to the integration. According to the embodiments disclosed in this document, the operations performed by a module, program, or other component may be executed sequentially, in parallel, iteratively, or heuristically, or one or more of the operations may be executed in a different order, omitted, or one or more other operations may be added.

[0044] FIG. 1 may illustrate elements constituting a battery analysis system according to some embodiments.

[0045] Referring to FIG. 1, in the battery analysis system (100), the battery analysis device (120) can generate a target analysis model (130) based on a plurality of reference analysis models (110).

[0046] Battery characteristics, such as battery life and degradation, can be analyzed based on analytical factors such as the type of battery cell design or the SOC range of the charge / discharge cycle. Battery characteristic analysis can be performed by establishing an analytical model using experimental data. Changes in battery performance or specification requirements may also necessitate changes in battery analysis factors.

[0047] However, creating a new model that reflects the changing analysis factors can be difficult. This is because producing test products and conducting experiments on them requires significant time and expense. In particular, for characteristics requiring extensive time, such as assessing the long-term lifespan of batteries, creating a single model can take months or more.

[0048] The battery analysis system (100) can present a method of mathematically deriving a target analysis model without specific prototype production or experiments by using existing similar models when deriving a new model corresponding to a change in only one or part of the battery analysis elements in an existing analysis model.

[0049] FIG. 2 may illustrate elements constituting a battery analysis device according to some embodiments.

[0050] Referring to FIG. 2, the battery analysis device (120) may include a memory (121) and a processor (122). However, the present invention is not limited thereto, and some components may be omitted from the battery analysis device (120), or other general-purpose components may be further included in the battery analysis device (120).

[0051] According to an embodiment, the memory (121) and the processor (122) in the battery analysis device (120) may be electrically connected to each other through a device-to-device communication method. The device-to-device communication method may include a bus, a general purpose input and output (GPIO), a serial peripheral interface (SPI), a mobile industry processor interface (MIPI), etc.

[0052] The memory (121) may be configured to store various data, commands, software, mobile applications, computer programs, etc. The memory (121) may be operatively coupled with the processor (122). For example, the memory (121) may be implemented as a non-volatile device such as a ROM, a PROM, an EPROM, an EEPROM, a flash memory, a PRAM, an MRAM, an RRAM, an FRAM, etc., or a volatile device such as a DRAM, an SRAM, an SDRAM, a PRAM, etc., and may be implemented in the form of an HDD, an SSD, an SD, a Micro-SD, etc., or in the form of a combination thereof.

[0053] The processor (122) may have a structure for executing commands that implement the operations of the battery analysis device (120). The processor (122) may process various operations by executing commands, software, programs, etc. stored in the memory (121). The processor (122) may be implemented as an array of a plurality of logic gates for processing various operations or as a general-purpose microprocessor, and may be composed of a single processor or multiple processors. For example, the processor (122) may be implemented in the form of at least one of a microprocessor, a CPU, a GPU, and an AP.

[0054] The processor (122) may be configured to specify a plurality of battery analysis elements required to analyze battery characteristics. For example, the battery analysis elements required to generate a target analysis model may include factors that influence model generation, such as cell design methods and battery charge / discharge methods. Meanwhile, battery characteristics may include characteristics that can be derived through the interpretation of experimental data, such as lifespan characteristics and degradation characteristics.

[0055] The processor (122) may be configured to identify a plurality of previously established reference analysis models (110) related to some of the plurality of battery analysis elements for analyzing battery characteristics. For example, if the plurality of battery analysis elements are identified as the first element and the second element, the plurality of previously established reference analysis models (110) for elements similar to the first element and the second element may be searched. According to an embodiment, the plurality of previously generated reference analysis models (110) may be recorded in a database together with the battery characteristics and the plurality of battery analysis elements.

[0056] The processor (122) may be configured to derive a target analysis model (130) that analyzes battery characteristics by reflecting a plurality of battery analysis elements based on a plurality of reference analysis models (110). For example, the target analysis model (130) may be derived based on a mathematical proportional relationship. Alternatively, the target analysis model (130) may be derived by quantifying and applying the impact of changes in each battery analysis element.

[0057] In an embodiment, the battery characteristics may include a battery life degradation characteristic, and the plurality of battery analysis elements may include a first element related to the design of the battery cell and a second element related to the SOC range of the charge / discharge cycle. The battery life degradation characteristic may be a characteristic indicating how much the life or performance of the battery deteriorates as the battery's usage time increases. The first element may indicate the type of battery cell design. For example, the battery cell design may include the structure of the battery cell, the manufacturing method, cell components, etc. The structure of the battery cell may include a cylindrical shape, a pouch shape, etc. The manufacturing method of the battery cell may include lamination, stacking, etc. The cell components may include the size, number, material, etc. of electrodes, separators, electrolytes, etc. The second element may indicate the SOC range of the charge / discharge cycle. The SOC range of the charge / discharge cycle may include an upper limit and a lower limit that serve as a reference for a fully charged state and a fully discharged state of the battery. For example, the SOC range of the charge / discharge cycle may include 0-100%, 2-100%, 4-100%, 6-100%, 0-98%, 2-98%, 4-98%, 6-98%, 0-96%, 2-96%, 4-96%, 6-96%, 0-94%, 2-94%, 4-94%, 6-94%, and other ranges.

[0058] According to an embodiment, the battery life degradation characteristic can be expressed as a change in the internal resistance of the battery according to the number of charge / discharge cycles, and the plurality of reference analysis models (110) can include a plurality of relationships between the number of charge / discharge cycles and the change in the internal resistance of the battery. It can be interpreted that the life of the battery degrades as the internal resistance of the battery increases. Alternatively, other indicators that can indicate the degradation of the battery life other than the internal resistance of the battery can be utilized. Each of the reference analysis models (111, 112, 113) can be expressed as a relationship. For example, each of the reference analysis models (111, 112, 113) can be expressed as a mathematical equation representing the change in the internal resistance of the battery according to the number of charge / discharge cycles.

[0059] According to an embodiment, the plurality of relations of the plurality of reference analysis models (110) may include a first relation regarding a first reference element and a second element that are different from the first element, a second relation regarding a second reference element that are different from the first element and the second element, and a third relation regarding the first reference element and the second reference element. For example, if the battery analysis elements of the target analysis model (130) are e1 and e2, the first relation of the plurality of reference analysis models (110) may be regarding e1' and e2, the second relation may be regarding e1, e2', and the third relation may be regarding e1' and e2'. That is, the plurality of relations of the plurality of reference analysis models (110) may have analysis elements that are similar to, but not identical to, the battery analysis elements of the target analysis model (130).

[0060] According to an embodiment, the first, second, and third relations may include first, second, and third exponential relations derived through numerical analysis fitting to experimental data regarding the number of charge / discharge cycles and the variation of the internal resistance of the battery. For example, in the case of the first reference analysis model (111), experimental result data for the first reference element (e1') and the second element (e2) may already exist, and the first exponential relation may be derived through numerical analysis fitting to the experimental result data. The numerical analysis fitting may include various types of curve fitting techniques, and exponential fitting may be applied to the battery life degradation characteristics. The second and third exponential relations may be derived in a similar manner.

[0061] In an embodiment, the processor (122) may be configured to derive a target index relation of the target analysis model (130) based on a proportional relationship using a first index relation, a second index relation, and a third index relation. In this case, it may be assumed that the relationship between the first index relation (e1', e2) and the third index relation (e1', e2') is mathematically proportional to the relationship between the second index relation (e1, e2') and the target index relation (e1, e2). In an embodiment, a weighted proportional relationship of m:n may be utilized instead of a simple proportion of 1:1. In this case, a weight for a change in e1 and a weight for a change in e2 may be required, which may be inferred through a plurality of reference analysis models recorded in the database.

[0062] In an embodiment, the processor (122) may be configured to derive a first influence value due to a change in the first element based on a difference between a second exponential relationship and a third exponential relationship, derive a second influence value due to a change in the second element based on a difference between the first exponential relationship and the third exponential relationship, and derive a target exponential relationship of the target analysis model by applying the first influence value and the second influence value to the third exponential relationship. The first influence value due to a change in the first element and the second influence value due to a change in the second element may be a change ratio (multiplication or division), which may be similar to a method using a weighted proportional relationship of m:n. In an embodiment, the first influence value due to a change in the first element and the second influence value due to a change in the second element may be a change amount (addition or subtraction).

[0063] According to an embodiment, the first exponential relation, the second exponential relation, and the third exponential relation may be formed in the form of y = A1*exp(x / t1) + y0, and the first influence value and the second influence value may include a variation amount of at least one of the coefficients (A1, t1, y0). The exponential relations may have the form of a simple exponential relation that does not form an additional complex function, in which case three coefficients (A1, t1, y0) may determine the relation. The first influence value and the second influence value may include a change rate and / or a change amount of the coefficients (A1, t1, y0).

[0064] Figure 3 can illustrate a problem in a method of creating an analysis model based on a linear trend line according to conventional technology.

[0065] Referring to FIG. 3, a graph (300) may be illustrated showing a method of generating an analysis model based on a linear trend line according to the prior art.

[0066] In the graph (300), a linear trend line (310) was generated based on data measured up to and including 200 cycles, and the increase in battery internal resistance for subsequent cycles was estimated based on this. However, since the actual measured data (320) increases in an exponential trend rather than a linear trend, an error may occur between the linear trend line (310) and the actual measured data (320) in sections exceeding 400 cycles.

[0067] The battery analysis device (120) utilizes multiple reference analysis models (110) based on exponential relationships, and the target analysis model (130) generated therefrom can also reflect the exponential trend of resistance increase.

[0068] FIG. 4 may illustrate a plurality of pre-established reference analysis models in relation to some of the plurality of battery analysis elements according to some embodiments.

[0069] Referring to FIG. 4, a graph (400) may be illustrated illustrating a plurality of pre-established reference analysis models (110) in relation to some of a plurality of battery analysis elements.

[0070] The graph (400) may illustrate a first exponential relationship (412), a second exponential relationship (422), and a third exponential relationship (432). The first exponential relationship (412) may relate to a battery cell design B and an SOC range of 0-100% of a charge / discharge cycle, the second exponential relationship (422) may relate to a battery cell design A and an SOC range of 4-98% of a charge / discharge cycle, and the third exponential relationship (432) may relate to a battery cell design A and an SOC range of 0-100% of a charge / discharge cycle.

[0071] In the graph (400), the first exponential relationship (412) can be generated through numerical analysis fitting for the first experimental data (411) for the battery cell design B and the SOC range of 0-100% of the charge / discharge cycle. Specifically, the first exponential relationship (412) can be derived through exponential fitting for the first experimental data (411). Similarly, the second exponential relationship (422) can be derived through exponential fitting for the second experimental data (421) for the battery cell design A and the SOC range of 4-98% of the charge / discharge cycle. Similarly, the third exponential relationship (432) can be derived through exponential fitting for the third experimental data (431) for the battery cell design A and the SOC range of 0-100% of the charge / discharge cycle.

[0072] The target index relation of the target analysis model (130) can be derived based on the first index relation (412), the second index relation (422), and the third index relation (432). According to an embodiment, the target index relation can be derived using a proportional relationship based on the first index relation (412), the second index relation (422), and the third index relation (432), or a first influence value due to a change in the first element (battery cell design) and a second influence value due to a change in the second element (SOC range).

[0073] FIG. 5 may illustrate a plurality of relational expressions representing a plurality of reference analysis models according to some embodiments.

[0074] Referring to FIG. 5, a table (500) illustrating a plurality of relational expressions (510, 520, 530) representing a plurality of reference analysis models (110) may be illustrated.

[0075] The first relation (510), the second relation (520), and the third relation (530) can all be generated through exponential fitting. According to an embodiment, in addition to exponential fitting, other numerical analysis fitting methods, such as second-order polynomial fitting, can be utilized. The first relation (510), the second relation (520), and the third relation (530) can all be expressed in the form of y = A1*exp(x / t1) + y0.

[0076] The table (500) can display specific numerical values ​​of coefficients (A1, t1, y0) constituting the first relational expression (510), the second relational expression (520), and the third relational expression (530). According to the numerical values, the adjusted coefficient of determination (adj.R 2 ) can be determined. As shown in table (500), the first relation (510), the second relation (520), and the third relation (530) all have an adjusted coefficient of determination (adj.R) close to 1. 2 ) and thus can have high fitting suitability.

[0077] The target index relation of the target analysis model (130) can be derived using the first relation (510), the second relation (520), and the third relation (530). The first relation (510), the second relation (520), and the third relation (530) are referred to as y1, y2, and y3, respectively, and the target index relation is y t If so, the following proportional relationship can be established.

[0078]

[0079] Regarding Equation 1, y3 and y2 have in common that the battery cell design is A, and can have different SOC ranges of 0-100% and 4-98%. Similarly, y1 and y tThe two battery cell designs have in common that they are B and can have different SOC ranges of 0-100% and 4-98%. Therefore, Equation 1 can be established under the assumption that the two relationships will be similar. Rearranging Equation 1, the target index relationship y t can be calculated as follows:

[0080]

[0081] FIG. 6 illustrates a process for deriving a target analysis model using impact values ​​resulting from changes in each battery analysis element according to some embodiments.

[0082] Referring to FIG. 6, a table (600) illustrating a process of deriving a target analysis model using the impact value resulting from a change in each battery analysis element may be illustrated.

[0083] The table (600) may represent first coefficients (610) of the first exponential relation, second coefficients (620) of the second exponential relation, and third coefficients (630) of the third exponential relation. Here, a first influence value (640) due to a change in the first element may be derived based on the difference between the second coefficients (620) and the third coefficients (630), and a second influence value (650) due to a change in the second element may be derived based on the difference between the first coefficients (610) and the third coefficients (630).

[0084] When both the first influence value (640) and the second influence value (650) are applied to the third coefficients (630), the coefficients of the target index relational expression can be derived. According to an embodiment, the first influence value (640) and the second influence value (650) can mean a ratio between the coefficients, in which case the coefficients of the target index relational expression can be derived in a manner similar to mathematical expressions 1 and 2. Alternatively, the first influence value (640) and the second influence value (650) can mean a difference (±) between the coefficients.

[0085] According to an embodiment, when applying the first influence value (640) and the second influence value (650) to the third coefficients (630), the first weight of the first influence value (640) and the second weight of the second influence value (650) may be considered. The first weight and the second weight may be derived from various other models of a database storing a plurality of reference analysis models (110).

[0086] FIG. 7 may illustrate steps of a battery analysis method according to some embodiments.

[0087] Referring to FIG. 7, the battery analysis method (700) may include steps (710) to (730). However, the present invention is not limited thereto, and some steps may be omitted or other general steps may be added, and steps (710) to (730) may be executed in a different order than the illustrated order.

[0088] The battery analysis method (700) may be composed of steps that are processed in a time-series manner in the battery analysis device (120). Therefore, even if the content is omitted below, the content described above for the battery analysis device (120) may be equally applied to the battery analysis method (700).

[0089] Steps (710) to (730) of the battery analysis method (700) can be performed by the memory (121) and controller (122) of the battery analysis device (120).

[0090] In step (710), the battery analysis device (120) can specify a plurality of battery analysis elements required to analyze battery characteristics.

[0091] In step (720), the battery analysis device (120) can identify a plurality of reference analysis models that are pre-established in relation to some of the plurality of battery analysis elements to analyze battery characteristics.

[0092] In step (730), the battery analysis device (120) can derive a target analysis model that analyzes battery characteristics by reflecting a plurality of battery analysis elements based on a plurality of reference analysis models.

[0093] According to an embodiment, the battery analysis method (700) may be implemented in the form of a computer program stored on a computer-readable storage medium. That is, the computer program may store commands for implementing the battery analysis method (700), and the program commands may be stored on the computer-readable storage medium. The computer program may include a mobile application.

[0094] According to an embodiment, the computer-readable storage medium may include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs, DVDs, magneto-optical media such as floptical disks, and hardware devices specially configured to store and execute computer program instructions such as ROMs, RAMs, flash memories, and the like. The computer program instructions may include machine language codes generated by a compiler and high-level language codes that can be executed by a computer using an interpreter, etc.

[0095] The terms "include," "comprise," or "have" used herein, unless otherwise specifically stated, imply that the corresponding component may be included, and therefore should be interpreted to include other components rather than to exclude other components. All terms, including technical or scientific terms, have the same meaning as commonly understood by a person of ordinary skill in the art to which the embodiments disclosed in this document pertain, unless otherwise defined. Commonly used terms, such as terms defined in dictionaries, should be interpreted to be consistent with their contextual meaning in the relevant art, and shall not be interpreted in an idealized or overly formal sense, unless explicitly defined in this document.

[0096] The above description is merely an illustrative description of the technical idea disclosed in this document, and those skilled in the art to which the embodiments disclosed in this document pertain may make various modifications and variations without departing from the essential characteristics of the embodiments disclosed in this document. Therefore, the embodiments disclosed in this document are not intended to limit the technical idea of ​​the embodiments disclosed in this document, but to explain it, and the scope of the technical idea disclosed in this document is not limited by these embodiments. The protection scope of the technical idea disclosed in this document should be interpreted by the claims below, and all technical ideas within a scope equivalent thereto should be interpreted as being included in the scope of rights of this document.

[0097] [Explanation of symbols]

[0098] 100: Battery Analysis System 110: Multiple Reference Analysis Models

[0099] 120: Battery analysis device 121: Memory

[0100] 122: Processor 130: Target Analysis Model

Claims

1. Memory; and comprising a processor operatively connected to said memory; The above processor specifies a plurality of battery analysis elements required to analyze battery characteristics, In order to analyze the above battery characteristics, multiple reference analysis models that have been established in advance in relation to some of the multiple battery analysis elements are identified, A battery analysis device configured to derive a target analysis model for analyzing the battery characteristics by reflecting the plurality of battery analysis elements based on the plurality of reference analysis models.

2. In paragraph 1, The above battery characteristics include battery life degradation characteristics, A battery analysis device, wherein the plurality of battery analysis elements include a first element related to the design of a battery cell and a second element related to the SOC range of a charge / discharge cycle.

3. In paragraph 2, The above battery life degradation characteristics are expressed as changes in the internal resistance of the battery according to the number of charge / discharge cycles. A battery analysis device, wherein the plurality of reference analysis models include a plurality of relationships between the number of charge / discharge cycles and the variation of the internal resistance of the battery.

4. In paragraph 3, A battery analysis device, wherein the plurality of relations of the plurality of reference analysis models include a first relation regarding a first reference element different from the first element and the second element, a second relation regarding a second reference element different from the first element and the second element, and a third relation regarding the first reference element and the second reference element.

5. In paragraph 4, A battery analysis device, wherein the first relational expression, the second relational expression, and the third relational expression include a first exponential relational expression, a second exponential relational expression, and a third exponential relational expression derived through numerical analysis fitting to experimental data regarding the number of charge / discharge cycles and the variation of the internal resistance of the battery.

6. In paragraph 5, A battery analysis device, wherein the processor is configured to derive a target index relation of the target analysis model based on a proportional relationship using the first index relation, the second index relation, and the third index relation.

7. In paragraph 5, The processor derives a first influence value due to a change in the first element based on the difference between the second index relation and the third index relation, Based on the difference between the first index relation and the third index relation, a second influence value due to a change in the second element is derived, A battery analysis device configured to derive a target index relation of the target analysis model by applying the first influence value and the second influence value to the third index relation.

8. In paragraph 7, The above first exponential relation, the above second exponential relation and the above third exponential relation are composed in the form of y = A1*exp(x / t1) + y0, A battery analysis device, wherein the first influence value and the second influence value include a variation of at least one of the coefficients (A1, t1, y0).

9. A step of specifying multiple battery analysis factors required to analyze battery characteristics; A step of identifying a plurality of reference analysis models established in advance in relation to some of the plurality of battery analysis elements to analyze the battery characteristics; and A battery analysis method, comprising a step of deriving a target analysis model that analyzes the battery characteristics by reflecting the plurality of battery analysis elements based on the plurality of reference analysis models.

10. In paragraph 9, The above battery characteristics include battery life degradation characteristics, A battery analysis method, wherein the plurality of battery analysis elements include a first element related to the design of a battery cell and a second element related to the SOC range of a charge / discharge cycle.

11. In paragraph 10, The above battery life degradation characteristics are expressed as changes in the internal resistance of the battery according to the number of charge / discharge cycles. A battery analysis method, wherein the plurality of reference analysis models include a plurality of relationships between the number of charge / discharge cycles and the variation of the internal resistance of the battery.

12. In paragraph 11, A battery analysis method, wherein the plurality of relations of the plurality of reference analysis models include a first relation regarding a first reference element different from the first element and the second element, a second relation regarding a second reference element different from the first element and the second element, and a third relation regarding the first reference element and the second reference element.

13. In paragraph 12, A battery analysis method, wherein the first relational expression, the second relational expression, and the third relational expression include a first exponential relational expression, a second exponential relational expression, and a third exponential relational expression derived through numerical analysis fitting to experimental data regarding the number of charge / discharge cycles and the variation of the internal resistance of the battery.

14. In paragraph 13, The steps for deriving the above target analysis model are: A battery analysis method, comprising a step of deriving a target index relation of the target analysis model based on a proportional relationship using the first index relation, the second index relation, and the third index relation.

15. In paragraph 13, The steps for deriving the above target analysis model are: A step of deriving a first influence value due to a change in the first element based on the difference between the second index relation and the third index relation; A step of deriving a second influence value due to a change in the second element based on the difference between the first index relation and the third index relation; and A battery analysis method, comprising a step of applying the first influence value and the second influence value to the third index relational expression to derive a target index relational expression of the target analysis model.

16. In paragraph 15, The above first exponential relation, the above second exponential relation and the above third exponential relation are composed in the form of y = A1*exp(x / t1) + y0, A battery analysis method, wherein the first influence value and the second influence value include a variation of at least one of the coefficients (A1, t1, y0).

17. When executed by at least one processor, causing said at least one processor to: An operation for specifying multiple battery analysis elements required to analyze battery characteristics; An operation of identifying a plurality of reference analysis models established in advance in relation to some of the plurality of battery analysis elements to analyze the battery characteristics; and A non-transitory computer-readable recording medium storing commands that cause an operation of deriving a target analysis model that analyzes the battery characteristics by reflecting the plurality of battery analysis elements based on the plurality of reference analysis models.

18. In paragraph 17, The above battery characteristics include battery life degradation characteristics, A non-transitory computer-readable recording medium, wherein the plurality of battery analysis elements include a first element related to the design of a battery cell and a second element related to the SOC range of a charge / discharge cycle.

19. In paragraph 18, The above battery life degradation characteristics are expressed as changes in the internal resistance of the battery according to the number of charge / discharge cycles. A non-transitory computer-readable recording medium, wherein the plurality of reference analysis models include a plurality of relationships between the number of charge / discharge cycles and the variation of the internal resistance of the battery.

20. In paragraph 19, A non-transitory computer-readable recording medium, wherein the plurality of relations of the plurality of reference analysis models include a first relation regarding a first reference element different from the first element and the second element, a second relation regarding a second reference element different from the first element and the second element, and a third relation regarding the first reference element and the second reference element.

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