Battery modeling apparatus and operation method thereof

Abstract

A battery modeling apparatus according to one embodiment disclosed herein comprises: an information acquisition unit for acquiring battery information including an image of a battery cell and information about the number of a plurality of tabs included in the battery cell; an edge information generation unit for generating edge information on the basis of the image of the battery cell; and a controller which extracts pixels corresponding to the plurality of tabs from the image on the basis of the edge information and the battery information, and models the plurality of tabs of the battery cell on the basis of the pixels.

Description

Battery modeling device and method of operation thereof

[0001] Cross-citation with related applications

[0002] This invention claims the benefit of priority to Korean Patent Application No. 10-2023-0164505, filed November 23, 2023, the entire contents of which are incorporated herein by reference.

[0003] Technology field

[0004] Embodiments disclosed in this document relate to a battery modeling device and an operating method thereof.

[0005] Recently, active research and development is being conducted on secondary batteries. Here, 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 have the advantage of a much higher energy density than conventional Ni / Cd and Ni / MH batteries. Furthermore, lithium-ion batteries can be manufactured in a compact and lightweight form, making them suitable for use as power sources for mobile devices. Furthermore, lithium-ion batteries are attracting attention as a next-generation energy storage medium, as their use is expanding to include power sources for electric vehicles.

[0006] Additionally, secondary batteries can be utilized as battery packs, which typically include battery modules in which multiple battery cells are connected in series and / or parallel. Furthermore, secondary batteries can be utilized as battery racks, which include multiple battery modules and a rack frame that accommodates these battery modules.

[0007] Meanwhile, due to the nature of secondary batteries, the internal geometry of manufactured secondary batteries may not exactly match the drawings, requiring modeling for each individual product. When modeling secondary batteries, each of the multiple cells contained within the battery must be modeled separately, resulting in excessive time and cost.

[0008] One purpose of the embodiments disclosed in this document is to provide a battery modeling device for modeling a battery and an operating method thereof.

[0009] One purpose of the embodiments disclosed in this document is to provide a battery modeling device and an operating method thereof for modeling a battery based on an image of the battery.

[0010] One purpose of the embodiments disclosed in this document is to provide a battery modeling device and an operating method thereof that models a battery by arranging inner tabs at equal intervals in the inner space of the outermost tab.

[0011] The technical problems of the embodiments described in this document are not limited to the technical problems mentioned above, and other technical problems not mentioned will be clearly understood by those skilled in the art to which the present invention pertains from the description below.

[0012] A battery modeling device according to an embodiment disclosed in this document includes an information acquisition unit that acquires battery information including an image of a battery cell and information on the number of a plurality of tabs included in the battery cell, an edge information generation unit that generates edge information based on the image of the battery cell, and a controller that extracts pixels corresponding to a plurality of tabs on the image based on the edge information and the battery information, and models a plurality of tabs of the battery cell based on the pixels.

[0013] In one embodiment, the controller may extract pixels corresponding to the pouch, the first outermost tab, and the second outermost tab of the battery cell on the image.

[0014] According to one embodiment, the controller may select pixels corresponding to internal taps defined as taps positioned between the first outermost tap and the second outermost tap, based on the pixel and number information corresponding to the first outermost tap and the second outermost tap.

[0015] According to one embodiment, the controller may set an internal space, which is a space between the first outermost tab and the second outermost tab on the image, check the number of internal tabs from the number information, and arrange the internal tabs at equal intervals in the internal space based on the internal space and the number of internal tabs.

[0016] According to one embodiment, the controller can compare edge information of the internal tap and the corresponding pixel, and adjust the placement of the internal tap based on the comparison result.

[0017] According to one embodiment, the controller can convert position information of pixels corresponding to each of the pouch, the first outermost tab, the second outermost tab, and the inner tabs into world coordinate information.

[0018] In one embodiment, the controller can model a plurality of tabs of the battery cell based on the world coordinate information.

[0019] According to one embodiment, the controller can extract pixels corresponding to the pouch, the first outermost tap, and the second outermost tap by applying interpolation to the edge information.

[0020] According to one embodiment, the edge information generation unit can generate the edge information by inputting an image of the battery cell into an edge extraction program.

[0021] A battery modeling method according to an embodiment disclosed in this document includes an operation of obtaining battery information including an image of a battery cell and information on the number of a plurality of tabs included in the battery cell, an operation of generating edge information based on the image of the battery cell, and an operation of extracting pixels corresponding to a plurality of tabs on the image based on the edge information and the battery information, and modeling a plurality of tabs of the battery cell based on the pixels.

[0022] In one embodiment, the modeling operation may include extracting pixels corresponding to the pouch, the first outermost tab, and the second outermost tab of the battery cell on the image.

[0023] According to one embodiment, the modeling operation may include an operation of selecting pixels corresponding to internal taps defined as taps positioned between the first outermost tap and the second outermost tap, based on the pixel and number information corresponding to the first outermost tap and the second outermost tap.

[0024] According to one embodiment, the operation of selecting the pixels may be an operation of setting an internal space, which is a space between the first outermost tap and the second outermost tap on the image, checking the number of internal taps from the number information, and arranging the internal taps at equal intervals in the internal space based on the internal space and the number of internal taps.

[0025] According to one embodiment, the modeling operation may include converting position information of pixels corresponding to each of the pouch, the first outermost tab, the second outermost tab, and the inner tabs into world coordinate information, and modeling a plurality of tabs of the battery cell based on the world coordinate information.

[0026] According to one embodiment, the modeling operation may include an operation of extracting pixels corresponding to the pouch, the first outermost tap, and the second outermost tap by applying an interpolation method to the edge information.

[0027] Specific details of other embodiments are included in the detailed description and drawings.

[0028] The battery modeling device and its operating method according to the embodiments disclosed in this document can model a battery based on an image of the battery.

[0029] The battery modeling device and its operating method according to the embodiments disclosed in this document can model a battery by arranging inner tabs at equal intervals in the inner space of the outermost tab.

[0030] The effects of the battery modeling device and its operating method according to the disclosure of 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 is a block diagram showing a battery modeling device according to one embodiment disclosed in this document.

[0032] FIG. 2 is a drawing showing a CT image of a battery according to one embodiment disclosed in this document.

[0033] FIG. 3 is a drawing showing an operation of a battery modeling device according to an embodiment disclosed in this document to extract an edge from a CT image of a battery.

[0034] FIG. 4 is a drawing showing an operation of a battery modeling device according to an embodiment disclosed in this document to extract pixels corresponding to a pouch and an outermost tab from a CT image of a battery.

[0035] FIG. 5 is a drawing showing an operation of a battery modeling device according to an embodiment disclosed in this document to correct pixels corresponding to a pouch and an outermost tab in a CT image of a battery.

[0036] FIG. 6 is a diagram showing an operation of a battery modeling device according to an embodiment disclosed in this document to extract pixels corresponding to internal tabs.

[0037] FIG. 7 is a drawing showing an operation of a battery modeling device according to an embodiment disclosed in this document to model a battery.

[0038] FIG. 8 is a flowchart showing a battery modeling method according to one embodiment disclosed in this document.

[0039] In connection with the description of the drawings, the same or similar reference numerals may be used for identical or similar components.

[0040] Hereinafter, embodiments of the present invention will be described with reference to the attached drawings. However, this is not intended to limit the present invention to specific embodiments, and it should be understood that the present invention encompasses various modifications, equivalents, and / or alternatives of the embodiments.

[0041] 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 relevant context clearly indicates otherwise.

[0042] 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.

[0043] 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).

[0044] The methods according to various embodiments disclosed in this document may be provided as included in 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.

[0045] 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.

[0046] FIG. 1 is a block diagram showing a battery modeling device according to one embodiment disclosed in this document.

[0047] Referring to FIG. 1, a battery modeling device (100) may include an information acquisition unit (110), an edge information generation unit (120), and a controller (130). The battery modeling device (100) may model a battery using the information acquisition unit (110), the edge information generation unit (120), and the controller (130).

[0048] The information acquisition unit (110) can acquire an image of the battery. According to an embodiment, the information acquisition unit (110) can acquire an image of the battery by directly photographing an image of the battery or by receiving an image of the battery from a separately provided battery photographing device (not shown). Here, the battery may be a pouch (210) type battery. In addition, the image of the battery may be a computed tomography image of the battery. In other words, the image of the battery may be a CT (Computed Tomography) image of the battery.

[0049] The information acquisition unit (110) can acquire battery information. According to an embodiment, the information acquisition unit (110) can acquire battery information by receiving battery information from a separately provided data storage unit (not shown), but is not limited thereto. For example, the information acquisition unit (110) can also acquire battery information based on a barcode provided on the battery.

[0050] The information acquisition unit (110) can acquire information on the number of tabs included in the battery. Based on the battery information, the information acquisition unit (110) can acquire information on the number of tabs included in the battery. That is, the battery information can include information on the number of tabs included in the battery.

[0051] The information acquisition unit (110) can transmit an image of the battery to the edge information generation unit (120). In addition, the information acquisition unit (110) can transmit battery information to the controller (130).

[0052] The edge information generation unit (120) can generate edge information. The edge information generation unit (120) can generate edge information based on an image of a battery. That is, the edge information generation unit (120) can generate edge information based on an image of a battery received from the information acquisition unit (110).

[0053] The edge information generation unit (120) can generate edge information using an edge extraction program. According to an embodiment, the edge information generation unit (120) can generate edge information by inputting an image of a battery into the edge extraction program. Here, the edge extraction program may be Canny Edge Detection, but is not limited thereto.

[0054] The edge information generation unit (120) can generate edge information by analyzing each of the plurality of pixels included in the battery image. First, the edge information generation unit (120) can remove noise using a Gaussian filter. That is, the edge information generation unit (120) can remove noise included in the battery image by applying a Gaussian filter to the battery image.

[0055] The edge information generation unit (120) may generate edge information based on at least one of the intensity, brightness, luminance, or contrast of a plurality of pixels. According to an embodiment, the edge information generation unit (120) may compare the intensity of a specific pixel with a pixel adjacent to the specific pixel. If the difference in intensity between the specific pixel and the pixel adjacent to the specific pixel is greater than or equal to a preset value, the edge information generation unit (120) may set the specific pixel as an edge pixel. In addition, if the difference in intensity between the specific pixel and the pixel adjacent to the specific pixel is less than the preset value, the edge information generation unit (120) may not set the specific pixel as an edge pixel. The edge information generation unit (120) may perform the same operation on each of the plurality of pixels included in the image of the battery, thereby extracting edge pixels from among the plurality of pixels included in the image of the battery. In addition, the edge information generation unit (120) may generate edge information based on the edge pixels.

[0056] According to an embodiment, the edge information generation unit (120) may generate edge information based on the difference between the characteristics of each of a plurality of pixels and the characteristics of adjacent pixels. For example, the edge information generation unit (120) may compare the brightness of a specific pixel with the adjacent pixels of the specific pixel to calculate the gradient of each pixel. If the gradient of the first pixel is greater than the gradients of the second pixel and the third pixel adjacent to the first pixel, the edge information generation unit (120) may correct the brightness of the second pixel and the third pixel to 0. That is, the edge information generation unit (120) may maintain the brightness of the first pixel and set the brightness of the second pixel and the third pixel to 0. In addition, the edge information generation unit (120) may compare the brightness of the first pixel with a set value. If the brightness of the first pixel is greater than or equal to a set value, the edge information generation unit (120) may select the first pixel as an edge pixel. If the brightness of the first pixel is less than the set value, the edge information generation unit (120) may check whether there is a connection between the first pixel and the surrounding pixels of the first pixel. In this case, if there is a pixel adjacent to the first pixel whose brightness is not 0, the edge information generation unit (120) may select the first pixel as an edge pixel, and if the brightness of all pixels adjacent to the first pixel is 0, the edge information generation unit (120) may not select the first pixel as an edge pixel.

[0057] The edge information generation unit (120) can connect edge pixels. In addition, the edge information generation unit (120) can generate edge information based on the edge pixels.

[0058] The edge information generation unit (120) can transmit edge information to the controller (130).

[0059] The controller (130) can extract an edge corresponding to the pouch (210). The controller (130) can extract an edge corresponding to the pouch (210) from the battery image. According to an embodiment, the controller (130) can extract an edge corresponding to the pouch (210) from the battery image based on the battery image and edge information. For example, the controller (130) can, but is not limited to, correspond an edge located most outside in a reference direction and a direction opposite to the reference direction among the edges included in the battery image to the pouch (210). As another example, the controller (130) can also extract an edge corresponding to the pouch (210) from the battery image based on battery shape information included in the battery information. In addition, the controller (130) can provide edge information to the user and select an edge selected by the user as the edge corresponding to the pouch (210).

[0060] The controller (130) can extract edges corresponding to multiple tabs included in the battery from the battery image. Based on the edges corresponding to the battery image and the pouch (210), the controller (130) can extract edges corresponding to the outermost tabs (220).

[0061] The controller (130) can extract edges corresponding to the outermost tabs (220). The outermost tabs (220) can include a first outermost tab (221) and a second outermost tab (222). Here, the first outermost tab (221) is a tab arranged in a first direction among the outermost tabs (220), and the second outermost tab (222) is a tab arranged in a second direction opposite to the first direction among the outermost tabs (220). For example, the controller (130) can associate an edge that is closest to an edge corresponding to a pouch (210) among the edges included in the battery image with the outermost tab (220), but is not limited thereto. As another example, the controller (130) can also extract edges corresponding to the outermost tabs (220) from the battery image based on battery shape information included in the battery information. Additionally, the controller (130) may provide edge information to the user and select the edge selected by the user as the edge corresponding to the outermost tabs (220).

[0062] The controller (130) can correct an edge corresponding to the pouch (210). The controller (130) can correct an edge corresponding to the pouch (210) using interpolation. That is, the controller (130) can correct an edge corresponding to the pouch (210) by connecting a plurality of edges corresponding to the pouch (210) using interpolation. Here, the interpolation may be a method of averaging a plurality of points to create a new point. The controller (130) can define the corrected edge as an edge of the pouch (210).

[0063] The controller (130) can extract pixels corresponding to the pouch (210). According to an embodiment, the controller (130) can extract pixels corresponding to the edge of the pouch (210).

[0064] The controller (130) can correct the edges corresponding to the outermost taps (220). The controller (130) can correct the edges corresponding to the outermost taps (220) using interpolation. That is, the controller (130) can correct the edges corresponding to the outermost taps (220) by connecting a plurality of edges corresponding to the outermost taps (220) using interpolation. The controller (130) can define the corrected edges as the edges of the outermost taps (220).

[0065] The controller (130) can extract pixels corresponding to the outermost taps (220). According to an embodiment, the controller (130) can extract pixels corresponding to the edges of the outermost taps (220).

[0066] The controller (130) can define an internal space. The controller (130) can define the space between the outermost tabs (220) within the image of the battery as the internal space. That is, the controller (130) can define the space between the first outermost tab (221) and the second outermost tab (222) as the internal space.

[0067] The controller (130) can extract pixels corresponding to the internal taps (230). The controller (130) can extract pixels corresponding to the internal taps (230) based on the internal space and battery information. First, the controller (130) can check the number of internal taps (230) from the battery information. For convenience of explanation, it is assumed that the number of internal taps (230) is n. In this case, the controller (130) can divide the internal space into spaces that are one more than the number of internal taps (230). According to an embodiment, when the controller (130) divides the internal space, the direction of the outermost taps (220) can be referenced. That is, the controller (130) can divide the internal space into n+1 spaces and define the pixels corresponding to the boundary of each space as pixels corresponding to the internal taps (230).

[0068] According to an embodiment, the controller (130) can arrange internal tabs (230) at equal intervals in the internal space and select pixels corresponding to the arranged internal tabs (230) as pixels corresponding to the internal tabs (230).

[0069] The controller (130) can extract internal tabs (230). According to an embodiment, the controller (130) can extract internal tabs (230) from the image of the battery by extracting pixels corresponding to the internal tabs (230) from the image of the battery.

[0070] The controller (130) can model the battery. According to an embodiment, the controller (130) can model the tabs of the battery. The controller (130) can model the tabs of the battery based on the pixel corresponding to the pouch (210), the pixel corresponding to the outermost tabs (220), and the pixel corresponding to the inner tabs (230). According to an embodiment, the controller (130) can convert the position information of each of the pixel corresponding to the pouch (210), the pixel corresponding to the outermost tabs (220), and the pixel corresponding to the inner tabs (230) into world coordinates. That is, the controller (130) can change the position information of each of the pixel corresponding to the pouch (210), the pixel corresponding to the outermost tabs (220), and the pixel corresponding to the inner tabs (230) into a dimension in mm.

[0071] According to an embodiment, the controller (130) can correct the world coordinates of the pouch (210), the outermost tabs (220), and the inner tabs (230). For example, the controller (130) can correct the world coordinates by representing the shape of the world coordinates of each configuration and adjusting the amount of change in the slope at each point. That is, the controller (130) can correct the world coordinates by alleviating the change in the slope of the curves of the pouch (210), the outermost tabs (220), and the inner tabs (230).

[0072] The controller (130) can model the battery based on the world coordinates of the pouch (210), the outermost tabs (220), and the inner tabs (230). The controller (130) can model the battery by generating a 2D image or a 3D image based on the world coordinates of the pouch (210), the outermost tabs (220), and the inner tabs (230).

[0073] According to an embodiment, the controller (130) may provide modeling results to a user. For example, the controller (130) may transmit the modeling results to a user terminal via a separately provided communication unit (not shown) or provide the modeling results to the user via a display (not shown).

[0074] FIG. 2 is a drawing showing a CT image of a battery according to one embodiment disclosed in this document.

[0075] Referring to FIG. 2, the information acquisition unit (110) can acquire an image of a battery. According to an embodiment, the information acquisition unit (110) can acquire an image of a battery by directly photographing an image of the battery or by receiving an image of the battery from a separately provided battery photographing device (not shown). Here, the battery may be a pouch (210) type battery. In addition, the image of the battery may be a computed tomography image of the battery. In other words, the image of the battery may be a CT (Computed Tomography) image of the battery.

[0076] FIG. 3 is a drawing showing an operation of a battery modeling device according to an embodiment disclosed in this document to extract an edge from a CT image of a battery.

[0077] Referring to FIG. 3, the edge information generation unit (120) can generate edge information. The edge information generation unit (120) can generate edge information based on an image of a battery. That is, the edge information generation unit (120) can generate edge information based on an image of a battery received from the information acquisition unit (110).

[0078] The edge information generation unit (120) can generate edge information using an edge extraction program. According to an embodiment, the edge information generation unit (120) can generate edge information by inputting an image of a battery into the edge extraction program. Here, the edge extraction program may be Canny Edge Detection, but is not limited thereto.

[0079] The edge information generation unit (120) can generate edge information by analyzing each of the plurality of pixels included in the battery image. First, the edge information generation unit (120) can remove noise using a Gaussian filter. That is, the edge information generation unit (120) can remove noise included in the battery image by applying a Gaussian filter to the battery image.

[0080] The edge information generation unit (120) may generate edge information based on at least one of the intensity, brightness, luminance, or contrast of a plurality of pixels. According to an embodiment, the edge information generation unit (120) may compare the intensity of a specific pixel with a pixel adjacent to the specific pixel. If the difference in intensity between the specific pixel and the pixel adjacent to the specific pixel is greater than or equal to a preset value, the edge information generation unit (120) may set the specific pixel as an edge pixel. In addition, if the difference in intensity between the specific pixel and the pixel adjacent to the specific pixel is less than the preset value, the edge information generation unit (120) may not set the specific pixel as an edge pixel. The edge information generation unit (120) may perform the same operation on each of the plurality of pixels included in the image of the battery, thereby extracting edge pixels from among the plurality of pixels included in the image of the battery. In addition, the edge information generation unit (120) may generate edge information based on the edge pixels.

[0081] According to an embodiment, the edge information generation unit (120) may generate edge information based on the difference between the characteristics of each of a plurality of pixels and the characteristics of adjacent pixels. For example, the edge information generation unit (120) may compare the brightness of a specific pixel with the adjacent pixels of the specific pixel to calculate the gradient of each pixel. If the gradient of the first pixel is greater than the gradients of the second pixel and the third pixel adjacent to the first pixel, the edge information generation unit (120) may correct the brightness of the second pixel and the third pixel to 0. That is, the edge information generation unit (120) may maintain the brightness of the first pixel and set the brightness of the second pixel and the third pixel to 0. In addition, the edge information generation unit (120) may compare the brightness of the first pixel with a set value. If the brightness of the first pixel is greater than or equal to a set value, the edge information generation unit (120) may select the first pixel as an edge pixel. If the brightness of the first pixel is less than the set value, the edge information generation unit (120) may check whether there is a connection between the first pixel and the surrounding pixels of the first pixel. In this case, if there is a pixel adjacent to the first pixel whose brightness is not 0, the edge information generation unit (120) may select the first pixel as an edge pixel, and if the brightness of all pixels adjacent to the first pixel is 0, the edge information generation unit (120) may not select the first pixel as an edge pixel.

[0082] The edge information generation unit (120) can connect edge pixels. In addition, the edge information generation unit (120) can generate edge information based on the edge pixels.

[0083] The edge information generation unit (120) can transmit edge information to the controller (130).

[0084] FIG. 4 is a drawing showing an operation of a battery modeling device according to an embodiment disclosed in this document to extract pixels corresponding to a pouch and an outermost tab from a CT image of a battery.

[0085] Referring to FIG. 4, the controller (130) can extract an edge corresponding to the pouch (210). The controller (130) can extract an edge corresponding to the pouch (210) from the battery image. According to an embodiment, the controller (130) can extract an edge corresponding to the pouch (210) from the battery image based on the battery image and edge information. For example, the controller (130) can, but is not limited to, correspond an edge located most outside in a reference direction and a direction opposite to the reference direction among the edges included in the battery image to the pouch (210). As another example, the controller (130) can also extract an edge corresponding to the pouch (210) from the battery image based on battery shape information included in the battery information. In addition, the controller (130) can provide edge information to a user and select an edge selected by the user as the edge corresponding to the pouch (210).

[0086] The controller (130) can extract edges corresponding to multiple tabs included in the battery from the battery image. Based on the edges corresponding to the battery image and the pouch (210), the controller (130) can extract edges corresponding to the outermost tabs (220).

[0087] First, the controller (130) can extract edges corresponding to the outermost tabs (220). The outermost tabs (220) can include a first outermost tab (221) and a second outermost tab (222). Here, the first outermost tab (221) is a tab arranged in a first direction among the outermost tabs (220), and the second outermost tab (222) is a tab arranged in a second direction opposite to the first direction among the outermost tabs (220). For example, the controller (130) can associate an edge that is closest to an edge corresponding to a pouch (210) among the edges included in the battery image with the outermost tab (220), but is not limited thereto. As another example, the controller (130) can also extract edges corresponding to the outermost tabs (220) from the battery image based on battery shape information included in the battery information. Additionally, the controller (130) may provide edge information to the user and select the edge selected by the user as the edge corresponding to the outermost tabs (220).

[0088] FIG. 5 is a drawing showing an operation of a battery modeling device according to an embodiment disclosed in this document to correct pixels corresponding to a pouch and an outermost tab in a CT image of a battery.

[0089] Referring to FIG. 5, the controller (130) can correct an edge corresponding to the pouch (210). The controller (130) can correct the edge corresponding to the pouch (210) using interpolation. That is, the controller (130) can correct the edge corresponding to the pouch (210) by connecting a plurality of edges corresponding to the pouch (210) using interpolation. Here, the interpolation may be a method of averaging a plurality of points to create a new point. The controller (130) can define the corrected edge as the edge of the pouch (210).

[0090] The controller (130) can extract pixels corresponding to the pouch (210). According to an embodiment, the controller (130) can extract pixels corresponding to the edge of the pouch (210).

[0091] The controller (130) can correct the edges corresponding to the outermost taps (220). The controller (130) can correct the edges corresponding to the outermost taps (220) using interpolation. That is, the controller (130) can correct the edges corresponding to the outermost taps (220) by connecting a plurality of edges corresponding to the outermost taps (220) using interpolation. The controller (130) can define the corrected edges as the edges of the outermost taps (220).

[0092] FIG. 6 is a diagram showing an operation of a battery modeling device according to an embodiment disclosed in this document to extract pixels corresponding to internal tabs.

[0093] Referring to FIG. 6, the controller (130) can define an internal space. The controller (130) can define the space between the outermost tabs (220) within the image of the battery as the internal space. That is, the controller (130) can define the space between the first outermost tab (221) and the second outermost tab (222) as the internal space.

[0094] The controller (130) can extract pixels corresponding to the internal taps (230). The controller (130) can extract pixels corresponding to the internal taps (230) based on the internal space and battery information. First, the controller (130) can check the number of internal taps (230) from the battery information. For convenience of explanation, it is assumed that the number of internal taps (230) is n. In this case, the controller (130) can divide the internal space into spaces that are one more than the number of internal taps (230). According to an embodiment, when the controller (130) divides the internal space, the direction of the outermost taps (220) can be referenced. That is, the controller (130) can divide the internal space into n+1 spaces and define the pixels corresponding to the boundary of each space as pixels corresponding to the internal taps (230).

[0095] According to an embodiment, the controller (130) can arrange internal tabs (230) at equal intervals in the internal space and select pixels corresponding to the arranged internal tabs (230) as pixels corresponding to the internal tabs (230).

[0096] The controller (130) can extract internal tabs (230). According to an embodiment, the controller (130) can extract internal tabs (230) from the image of the battery by extracting pixels corresponding to the internal tabs (230) from the image of the battery.

[0097] FIG. 7 is a drawing showing an operation of a battery modeling device according to an embodiment disclosed in this document to model a battery.

[0098] Referring to FIG. 7, the controller (130) can model the battery. According to an embodiment, the controller (130) can model the tabs of the battery. The controller (130) can model the tabs of the battery based on the pixel corresponding to the pouch (210), the pixel corresponding to the outermost tabs (220), and the pixel corresponding to the inner tabs (230). According to an embodiment, the controller (130) can convert the position information of each of the pixel corresponding to the pouch (210), the pixel corresponding to the outermost tabs (220), and the pixel corresponding to the inner tabs (230) into world coordinates. That is, the controller (130) can change the position information of each of the pixel corresponding to the pouch (210), the pixel corresponding to the outermost tabs (220), and the pixel corresponding to the inner tabs (230) into a dimension in mm.

[0099] According to an embodiment, the controller (130) can correct the world coordinates of the pouch (210), the outermost tabs (220), and the inner tabs (230). For example, the controller (130) can correct the world coordinates by representing the shape of the world coordinates of each configuration and adjusting the amount of change in the slope at each point. That is, the controller (130) can correct the world coordinates by alleviating the change in the slope of the curves of the pouch (210), the outermost tabs (220), and the inner tabs (230).

[0100] The controller (130) can model the battery based on the world coordinates of the pouch (210), the outermost tabs (220), and the inner tabs (230). The controller (130) can model the battery by generating a 2D image or a 3D image based on the world coordinates of the pouch (210), the outermost tabs (220), and the inner tabs (230).

[0101] The battery modeling device (100) can model a battery based on an image of the battery. The battery modeling device (100) can model a battery by arranging internal tabs (230) at equal intervals within the inner space of the outermost tab (220). That is, the battery modeling device (100) extracts a pouch (210) and an outermost tab (220) from an image of the battery, arranges internal tabs (230) at equal intervals within the space between the outermost tabs (220), and models the tabs of the battery based on this, thereby improving the efficiency of battery modeling.

[0102] FIG. 8 is a flowchart showing a battery modeling method according to one embodiment disclosed in this document.

[0103] The embodiment illustrated in FIG. 8 is only one embodiment, and the order of operations according to various embodiments of the present invention may be different from that illustrated in FIG. 8, and some of the steps illustrated in FIG. 8 may be omitted, the order between the steps may be changed, or the steps may be merged.

[0104] Referring to FIG. 8, the battery modeling method may include an operation (S100) of obtaining battery information including an image of a battery cell and information on the number of a plurality of tabs included in the battery cell, an operation (S200) of generating edge information based on the image of the battery cell, and an operation (S300) of extracting pixels corresponding to a plurality of tabs on the image based on the edge information and the battery information, and modeling a plurality of tabs of the battery cell based on the pixels.

[0105] Below, the above operations S100 to S300 are specifically described with reference to FIGS. 1 to 7.

[0106] In operation S100, the battery modeling device (100) can obtain battery information including an image of a battery cell and information on the number of tabs included in the battery cell.

[0107] In operation S200, the battery modeling device (100) can generate edge information based on an image of a battery cell. The battery modeling device (100) can generate edge information using an edge extraction program. According to an embodiment, the battery modeling device (100) can generate edge information by inputting an image of a battery into the edge extraction program.

[0108] In operation S300, the battery modeling device (100) can extract pixels corresponding to multiple taps on an image based on edge information and battery information, and model multiple taps of a battery cell based on the pixels.

[0109] According to an embodiment, the battery modeling device (100) may extract an edge corresponding to a pouch (210) from the battery image based on the battery image and edge information. For example, the battery modeling device (100) may, but is not limited to, correspond an edge located most outside in a reference direction and a direction opposite to the reference direction among the edges included in the battery image to the pouch (210).

[0110] The battery modeling device (100) may, however, correspond the edge closest to the edge corresponding to the pouch (210) among the edges included in the battery image to the outermost tabs (220), but is not limited thereto. As another example, the battery modeling device (100) may extract the edges corresponding to the outermost tabs (220) from the battery image based on the battery shape information included in the battery information. In addition, the battery modeling device (100) may provide the edge information to the user and select the edge selected by the user as the edge corresponding to the outermost tabs (220).

[0111] The battery modeling device (100) can extract pixels corresponding to internal tabs (230). The battery modeling device (100) can extract pixels corresponding to internal tabs (230) based on internal space and battery information.

[0112] According to an embodiment, the battery modeling device (100) can arrange internal tabs (230) at equal intervals in an internal space, and select pixels corresponding to the arranged internal tabs (230) as pixels corresponding to the internal tabs (230).

[0113] The battery modeling device (100) can model a battery. According to an embodiment, the battery modeling device (100) can model tabs of a battery. The battery modeling device (100) can model tabs of a battery based on pixels corresponding to a pouch (210), pixels corresponding to the outermost tabs (220), and pixels corresponding to the inner tabs (230). According to an embodiment, the battery modeling device (100) can convert position information of each of the pixels corresponding to the pouch (210), the pixels corresponding to the outermost tabs (220), and the pixels corresponding to the inner tabs (230) into world coordinates. That is, the battery modeling device (100) can change position information of each of the pixels corresponding to the pouch (210), the pixels corresponding to the outermost tabs (220), and the pixels corresponding to the inner tabs (230) into a dimension in mm.

[0114] The battery modeling device (100) can model the battery based on the world coordinates of the pouch (210), the outermost tabs (220), and the inner tabs (230). The battery modeling device (100) can model the battery by generating a 2D image or a 3D image based on the world coordinates of the pouch (210), the outermost tabs (220), and the inner tabs (230).

[0115] The above description is merely an example 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.

[0116] Accordingly, the embodiments disclosed in this document are intended to illustrate, rather than limit, the technical concepts disclosed in this document, and the scope of the technical concepts disclosed in this document is not limited by these embodiments. The scope of protection of the technical concepts disclosed in this document should be interpreted by the claims below, and all technical concepts within the equivalent scope should be interpreted as being included within the scope of the rights of this document.

[0117] [Explanation of symbols]

[0118] 100: Battery Modeling Device

[0119] 110: Information Acquisition Department

[0120] 120: Edge information generation unit

[0121] 130: Controller

[0122] 210: Pouch

[0123] 220: Outermost tab

[0124] 230: Internal tab

Claims

1. An information acquisition unit that acquires battery information including an image of a battery and information on the number of tabs included in the battery; An edge information generation unit that generates edge information based on the image of the above battery; and A battery modeling device including a controller that extracts pixels corresponding to a plurality of tabs on the image based on the edge information and the battery information, and models a plurality of tabs of the battery based on the pixels.

2. In paragraph 1, The above controller is a battery modeling device that extracts pixels corresponding to the pouch, the first outermost tab, and the second outermost tab of the battery on the image.

3. In paragraph 2, A battery modeling device in which the controller selects pixels corresponding to internal tabs defined as tabs arranged between the first outermost tab and the second outermost tab, based on the pixel and number information corresponding to the first outermost tab and the second outermost tab.

4. In paragraph 3, The above controller sets an internal space, which is a space between the first outermost tab and the second outermost tab on the image, Check the number of internal tabs from the above number information, A battery modeling device that arranges the internal tabs at equal intervals in the internal space based on the internal space and the number of internal tabs.

5. In paragraph 4, The above controller is a battery modeling device that compares edge information of the internal tab and the corresponding pixel, and adjusts the arrangement of the internal tab based on the comparison result.

6. In paragraph 3, The above controller is a battery modeling device that converts position information of pixels corresponding to each of the pouch, the first outermost tab, the second outermost tab, and the inner tabs into world coordinate information.

7. In paragraph 6, The above controller is a battery modeling device that models a plurality of tabs of the battery based on the world coordinate information.

8. In paragraph 1, The above controller is a battery modeling device that extracts pixels corresponding to the pouch, the first outermost tab, and the second outermost tab by applying interpolation to the edge information.

9. In paragraph 1, The above edge information generation unit is a battery modeling device that generates the edge information by inputting an image of the battery into an edge extraction program.

10. An operation of obtaining battery information including an image of a battery and information on the number of tabs included in the battery; An operation for generating edge information based on an image of the above battery; and A battery modeling method including an operation of extracting pixels corresponding to a plurality of tabs on the image based on the edge information and the battery information, and modeling a plurality of tabs of the battery based on the pixels.

11. In clause 10, A battery modeling method, wherein the above modeling operation includes an operation of extracting pixels corresponding to the pouch, the first outermost tab, and the second outermost tab of the battery on the image.

12. In paragraph 11, A battery modeling method wherein the above modeling operation includes an operation of selecting pixels corresponding to internal tabs defined as tabs arranged between the first outermost tab and the second outermost tab, based on the pixel and number information corresponding to the first outermost tab and the second outermost tab.

13. In paragraph 12, The action of selecting the above pixels is: In the image above, an internal space is set as the space between the first outermost tab and the second outermost tab, Check the number of internal tabs from the above number information, A battery modeling method, which is an operation of arranging the internal tabs at equal intervals in the internal space based on the internal space and the number of internal tabs.

14. In paragraph 12, The above modeling action is, A battery modeling method including an operation of converting positional information of pixels corresponding to each of the pouch, the first outermost tab, the second outermost tab, and the inner tabs into world coordinate information, and modeling a plurality of tabs of the battery based on the world coordinate information.

15. In paragraph 10, The above modeling action is, A battery modeling method including an operation of extracting pixels corresponding to a pouch, a first outermost tap, and a second outermost tap by applying interpolation to the above edge information.

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