Shape estimation device and shape estimation method

Abstract

To provide a shape estimation device or the like for estimating a sheet shape before a sheet is wound.SOLUTION: A shape estimation device 10 includes: a data acquisition part 11 that acquires at least one of sheet data ds obtained by measuring a sheet S conveyed by a manufacturing apparatus and winding body data dr obtained by measuring a winding body Rb in a state in which the sheet S is wound; and a sheet shape estimation part 15 that estimates a sheet shape before the sheet S is wound, based on the at least one of the sheet data ds and the winding body data dr.SELECTED DRAWING: Figure 4

Description

[Technical Field]

[0001] The present disclosure relates to a shape estimation device and a shape estimation method for estimating the shape of a sheet. [Background technology]

[0002] Conventionally, wound-type batteries are known, which are formed by winding positive and negative electrode sheets. In the manufacturing process of wound-type batteries, it is necessary to manage the winding accuracy of the sheet so that it does not become low. Patent Document 1 discloses a battery manufacturing device that detects meandering of the sheet while it is being conveyed and moves conveying rollers to correct the meandering. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2005-79079 Summary of the Invention [Problem to be solved by the invention]

[0004] Since the winding accuracy of a sheet is affected by the shape of the sheet, such as its warpage, it is important to obtain information about the shape of the sheet before it is wound in order to control the quality of the product. The device described in Patent Document 1 can detect and correct the meandering of the sheet, but cannot obtain information about the shape of the sheet.

[0005] The present disclosure provides a shape estimation device and the like that can estimate the shape of a sheet before the sheet is wound up. [Means for solving the problem]

[0006] A shape estimation device according to one aspect of the present disclosure includes a data acquisition unit that acquires at least one of sheet data obtained by measuring a sheet being transported by a manufacturing device and roll data obtained by measuring a roll in which the sheet is rolled up, and a sheet shape estimation unit that estimates the sheet shape before the sheet is rolled up based on at least one of the sheet data and the roll data.

[0007] A shape estimation method according to one aspect of the present disclosure includes a step of acquiring at least one of sheet data obtained by measuring a sheet and roll data obtained by measuring a roll of the sheet, and a step of estimating the sheet shape before the sheet is rolled up based on at least one of the sheet data and the roll data.

[0008] These comprehensive or specific aspects may be realized as a system, a method, an integrated circuit, a computer program, or a computer-readable recording medium such as a CD-ROM, or may be realized as any combination of a system, a method, an integrated circuit, a computer program, and a recording medium. [Effects of the Invention]

[0009] According to the shape estimation device and the like of the present disclosure, it is possible to estimate the shape of a sheet before the sheet is wound up. [Brief explanation of the drawings]

[0010] [Figure 1] FIG. 1 is a diagram illustrating an example of a manufacturing system for manufacturing a wound type battery. [Figure 2] FIG. 1 is a diagram illustrating an example of a roll manufacturing apparatus. [Figure 3] 10A and 10B are diagrams showing an example of a stacked state of sheets when the sheets are wound by a roll manufacturing apparatus. [Figure 4] 1 is a block diagram showing the configuration of a management system including a shape estimation device according to an embodiment and a manufacturing system for manufacturing batteries. [Figure 5] FIG. 10 is a diagram showing an example of measurement of a sheet. [Figure 6] FIG. 10 is a diagram illustrating an example of sheet data. [Figure 7] FIG. 10 is a diagram showing an example of measurement of a roll; [Figure 8] FIG. 10 is a diagram showing an example of roll data. [Figure 9] FIG. 10 is a diagram showing an example of measurement of a sheet shape. [Figure 10] FIG. 10 is a diagram showing an example of data on a sheet shape. [Figure 11] FIG. 10 is a diagram illustrating an example of feature amounts of sheet data. [Figure 12] FIG. 10 is a diagram illustrating an example of a method for deriving feature amounts of wound body data. [Figure 13] FIG. 10 is a diagram showing an example of feature amounts of winding body data. [Figure 14A] FIG. 10 is a diagram schematically illustrating an example of relational data used to estimate a seat shape. [Figure 14B] FIG. 10 is a diagram schematically illustrating another example of relational data used to estimate the seat shape. [Figure 15] 10A and 10B are diagrams illustrating an example of a seat shape estimated by a seat shape estimation unit. [Figure 16] FIG. 4 is a diagram illustrating an example of accumulated data stored in a storage unit. [Figure 17] 10 is a flowchart showing a method for deriving relational data in the shape estimation method according to the embodiment. [Figure 18] 10 is a flowchart illustrating a method for estimating a seat shape using relational data, among shape estimation methods according to an embodiment. [Figure 19] FIG. 10 is a block diagram showing the configuration of a management system including a shape estimation device according to a modified example of the embodiment and a manufacturing system for manufacturing batteries. [Figure 20] FIG. 10 is a diagram illustrating an example of a learning model used to estimate a seat shape. [Figure 21]10 is a flowchart showing a method for generating a learning model in a shape estimation method according to a modified example of the embodiment. [Figure 22] 10 is a flowchart showing a method for estimating a seat shape using a learning model, among the shape estimation methods according to the embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0011] (Background to this disclosure) The process leading to the present disclosure will be described with reference to FIGS.

[0012] FIG. 1 is a diagram showing an example of a manufacturing system 30 for manufacturing a wound type battery Bt.

[0013] The manufacturing system 30 for manufacturing the wound type battery Bt includes a sheet manufacturing apparatus 41 for manufacturing the positive electrode sheet S1, a sheet manufacturing apparatus 42 for manufacturing the negative electrode sheet S2, a wound body manufacturing apparatus 50 for winding the positive electrode sheet S1, the negative electrode sheet S2 and the separator Sp to form a wound body Rb, and an assembly apparatus for assembling a housing onto the wound body Rb.

[0014] The sheet manufacturing apparatus 41 for manufacturing the positive electrode sheet S1 includes a material producing apparatus that kneads the positive electrode material to produce positive electrode slurry, a sheet forming apparatus that applies the positive electrode slurry to form the positive electrode sheet S1, a compression apparatus that compresses the positive electrode sheet S1, a slitting device, and a drying device. The sheet manufacturing apparatus 42 for manufacturing the negative electrode sheet S2 includes a material producing apparatus that kneads the negative electrode material to produce negative electrode slurry, a sheet forming apparatus that applies the negative electrode slurry to form the negative electrode sheet S2, a compression apparatus that compresses the negative electrode sheet S2, a slitting device, and a drying device.

[0015] The sheet manufacturing apparatuses 41 and 42 that manufacture the positive electrode sheet S1 and the negative electrode sheet S2 perform processes such as forming the sheet from raw materials, applying coatings to the surface of the sheet, and compressing the sheet with a roller to adjust the thickness of the sheet. Hereinafter, the positive electrode sheet S1 and / or the negative electrode sheet S2 may be referred to as the sheet S.

[0016] The sheet S is a long, continuous thin plate. The sheet S is flexible and pliable, and has the property of being bent and deformed by external or internal stress. The sheet S handled in the sheet manufacturing apparatuses 41 and 42 is also called a web. Hereinafter, the direction in which the sheet S is conveyed in the sheet manufacturing apparatuses 41 and 42 will be referred to as the conveying direction or longitudinal direction, and the direction perpendicular to the longitudinal direction and along the surface of the sheet will be referred to as the width direction.

[0017] FIG. 2 is a diagram showing an example of a roll manufacturing apparatus 50. As shown in FIG.

[0018] The winding body manufacturing apparatus 50 cuts out the positive electrode sheet S1, the negative electrode sheet S2, and the separator Sp to predetermined lengths in the longitudinal direction to form cut-out tapes tp, and then winds up each cut-out tape tp from its end to form a cylindrical winding body Rb. For example, the winding body Rb is formed by winding up each cut-out tape tp of the positive electrode sheet S1, the separator Sp, the negative electrode sheet S2, and the separator Sp around a winding core Rc so that the positive electrode sheet S1, the separator Sp, the negative electrode sheet S2, and the separator Sp are stacked in this order.

[0019] The positive electrode sheet S1 in the winding body Rb becomes the positive electrode plate of the battery Bt, and the negative electrode sheet S2 in the winding body Rb becomes the negative electrode plate of the battery Bt. Hereinafter, the direction in which the sheet S is wound in the winding body manufacturing apparatus 50 will be referred to as the winding direction or the circumferential direction of the winding body Rb, the direction in which the sheets S are stacked will be referred to as the stacking direction or the radial direction of the winding body Rb, and the direction perpendicular to both the radial direction and a predetermined tangential direction tangent to the circumferential direction will be referred to as the width direction.

[0020] 3 is a diagram showing an example of a stacked state of the sheets S when the sheets S are wound by the winding body manufacturing apparatus 50. Note that the separators Sp are not shown in the drawing.

[0021] As shown in Figure 3, if the sheets S are stacked with misalignment in the width direction, this will cause quality problems for the battery Bt. Therefore, in the manufacturing process of the wound battery Bt, it is necessary to manage the winding accuracy of the positive electrode sheet S1 and the negative electrode sheet S2 so that it does not become low. The winding accuracy of the sheet S is affected by the sheet shape, such as warpage of the sheet S, so in order to control the quality of the product, it is important to obtain information about the sheet shape before winding the sheet S.

[0022] However, because the sheet S is conveyed through the manufacturing equipment while tension is applied to the sheet S, it is difficult to accurately obtain information about the sheet shape, such as the warpage of the sheet S. While it is possible to obtain information about the sheet shape by, for example, cutting and extracting a portion of the sheet S being conveyed and measuring the extracted piece of sheet, this requires stopping the operation of the manufacturing equipment, resulting in a decrease in production efficiency. Furthermore, it is possible to disassemble the battery Bt, extract the positive and negative electrode plates, and estimate the sheet shape before winding the sheet S from the state of the positive and negative electrode plates, but this has the problem of destroying the product. Therefore, it is desirable to realize a device that can estimate the sheet shape while minimizing the shutdown of the manufacturing equipment and without destroying the product.

[0023] The shape estimation device and the like disclosed herein have the following configuration to estimate the shape of the sheet S before it is wound up.

[0024] Hereinafter, embodiments will be described with reference to the drawings. The embodiments described below are all comprehensive or specific examples. The numerical values, shapes, materials, components, component placement and connection configurations, steps, and step order shown in the following embodiments are merely examples and are not intended to limit the present disclosure. Furthermore, among the components in the following embodiments, components not described in independent claims will be described as optional components.

[0025] Furthermore, each figure is a schematic diagram and is not necessarily an exact illustration. Furthermore, in each figure, substantially the same configuration is assigned the same reference numeral, and duplicate explanations may be omitted or simplified. Furthermore, even when the same object is illustrated in each figure, the scale may be changed for convenience.

[0026] (Embodiment) [Configuration of shape estimation device] The configuration of a shape estimation device according to an embodiment will be described with reference to FIGS.

[0027] FIG. 4 is a block diagram showing the configuration of a management system 1 including a shape estimation device 10 according to an embodiment and a manufacturing system 30 for manufacturing batteries Bt.

[0028] The management system 1 is a system that performs quality control and manufacturing control of products. The management system 1 of this embodiment includes a shape estimation device 10 and a manufacturing system 30, and performs quality control and manufacturing control of batteries Bt. The shape estimation device 10 and the manufacturing system 30 each have a communication module (not shown), and are capable of communicating with each other wirelessly or via a wire. The shape estimation device 10 is configured by a computer, and estimates the shape of the sheet S handled by the manufacturing system 30 based on various data transmitted from the manufacturing system 30.

[0029] The manufacturing system 30 includes a plurality of manufacturing devices and a plurality of measuring devices. The manufacturing system 30 includes a sheet manufacturing device 41 that manufactures the positive electrode sheet S1, a sheet manufacturing device 42 that manufactures the negative electrode sheet S2, a wound body manufacturing device 50 that winds up the positive electrode sheet S1, the negative electrode sheet S2, and the separator Sp to form a wound body Rb, and a wound body measuring device 60 that measures and inspects the wound body Rb. The manufacturing system 30 also includes a sheet shape measuring device 70 that acquires information about the shape of the sheet S before it is wound.

[0030] The sheet manufacturing apparatus 41 includes a sheet measuring unit 43 that measures the positive electrode sheet S1. The sheet measuring unit 43 measures the positive electrode sheet S1 being conveyed by the sheet manufacturing apparatus 41. For example, the sheet measuring unit 43 is provided in a compression device of the sheet manufacturing apparatus 41, measures the thickness of the positive electrode sheet S1 after it has been compressed by a compression roller, and generates sheet data ds that includes data relating to the thickness of the positive electrode sheet S1.

[0031] The sheet manufacturing apparatus 42 includes a sheet measuring unit 44 that measures the negative electrode sheet S2. The sheet measuring unit 44 measures the negative electrode sheet S2 being conveyed by the sheet manufacturing apparatus 42. For example, the sheet measuring unit 44 is provided in a compression device of the sheet manufacturing apparatus 42, measures the thickness of the negative electrode sheet S2 after it has been compressed by a compression roller, and generates sheet data ds that includes data relating to the thickness of the negative electrode sheet S2.

[0032] The sheet S being conveyed in the manufacturing apparatus is a sheet being conveyed between a feed roller (or a supply roller) and a take-up roller. The conveying method may be continuous feeding or intermittent feeding.

[0033] FIG. 5 is a diagram showing an example of measurement of the sheet S.

[0034] The sheet measuring units 43 and 44 measure the thickness of the sheet S using, for example, a laser displacement meter. The sheet S is placed on a flat plate provided in each of the sheet manufacturing devices 41 and 42, and is transported with the back surface of the sheet in contact with the flat plate. The sheet measuring units 43 and 44 are set so that the height position of the front surface of the flat plate is 0, and measure the height position of the sheet front surface to measure the thickness of the sheet S, which is the distance between the back surface and the front surface of the sheet S.

[0035] 5, the sheet measurement units 43 and 44 measure the thickness of the sheet S at multiple positions in the width direction of the sheet S, specifically at positions L, LC, C, RC, and R in the width direction. When the sheet S is viewed from the upstream side in the conveying direction, position L is at the left end in the width direction, position C is at the center in the width direction, and position R is at the right end in the width direction. Position LC is between positions L and C, and position RC is between positions C and R.

[0036] FIG. 6 is a diagram showing an example of the sheet data ds.

[0037] The sheet data ds includes data on the thickness of the sheet S corresponding to each position L, LC, C, RC, and R in the width direction. The data on the thickness also includes information on the lot number when the sheet S was manufactured using the sheet manufacturing apparatuses 41 and 42. The sheet data ds obtained by measuring the sheet S in the sheet measurement units 43 and 44 is output to the shape estimation device 10.

[0038] The roll manufacturing apparatus 50 shown in FIG. 4 manufactures a roll Rb of the sheet S by winding up a positive electrode sheet S1, a separator Sp, a negative electrode sheet S2, and another separator Sp.

[0039] The roll measuring device 60 measures the roll Rb on which the sheet S is wound. For example, the roll measuring device 60 generates roll data dr including data on the winding misalignment of the sheet S in the width direction.

[0040] FIG. 7 is a diagram showing an example of measurement of the wound body Rb.

[0041] The winding body measuring device 60 measures the winding misalignment in the width direction of the sheet S, for example, using a laser displacement meter. The winding body measuring device 60 measures the edge position of the sheet S by moving the winding body Rb placed on a jig in the radial direction and irradiating the winding body Rb with a laser from one side or the other side in the width direction. Note that the separator Sp shown in the same figure is not the target of measurement this time.

[0042] 7, the winding body measuring device 60 measures the winding misalignment in the width direction of the sheet S by measuring the edge positions of one and the other of multiple layers of the sheet S stacked in the radial direction via a separator Sp. Specifically, the winding body measuring device 60 measures the edge positions (XU1, YU1), (XU2, YU2), . . ., (XUn, YUn) of one (top surface side in this example) of n layers of the sheet S arranged in the radial direction and the edge positions (XD1, YD1), (XD2, YD2), . . ., (XDn, YDn) of the other (bottom surface side in this example) of the n layers of the sheet S arranged in the radial direction.

[0043] FIG. 8 is a diagram showing an example of the winding body data dr.

[0044] The roll data dr includes data on edge positions corresponding to the radial positions of the sheet S. The edge position data includes information on the lot number and facility number used when the roll Rb was manufactured using the sheet manufacturing apparatuses 41 and 42 and the roll manufacturing apparatus 50. The roll data dr obtained by measuring the roll Rb with the roll measuring device 60 is output to the shape estimation device 10.

[0045] The above sheet data ds and roll data dr are used when the shape estimation device 10 estimates the sheet shape and when the shape estimation device 10 derives the relationship between the sheet data ds or roll data dr and the sheet shape. On the other hand, the sheet shape data df shown below is used only when the shape estimation device 10 derives the relationship between the sheet data ds or roll data dr and the sheet shape.

[0046] The sheet shape is, for example, the outer shape of a sheet piece Ps (see FIG. 9) obtained by cutting a portion of the sheet S and placing it on a flat plate. The sheet piece Ps is prone to deformation when left alone without being subjected to external force, and warps, for example, into a convex or concave shape. In this embodiment, information about the warpage of the sheet S, including the deformation of the sheet piece Ps, is acquired as information about the sheet shape.

[0047] The sheet shape measuring device 70 is a device that acquires information about the sheet shape in advance. Data acquisition using the sheet shape measuring device 70 is not performed on all of the sheets S conveyed by the sheet manufacturing devices 41 and 42, but on a portion of the sheets S conveyed by the sheet manufacturing devices 41 and 42.

[0048] The sheet shape measuring device 70 measures the positive electrode sheet S1 after it has been separated into multiple pieces by the slitting device of the sheet manufacturing apparatus 41 or after it has been dried in a drying device, and generates sheet shape data df that includes data on the amount of warping of the positive electrode sheet S1. The sheet shape measuring device 70 also measures the negative electrode sheet S2 after it has been separated into multiple pieces by the slitting device of the sheet manufacturing apparatus 42 or after it has been dried in a drying device, and generates sheet shape data df that includes data on the amount of warping of the negative electrode sheet S2.

[0049] FIG. 9 is a diagram showing an example of measurement of the sheet shape.

[0050] The sheet shape measuring device 70 measures the height position of the sheet piece Ps using, for example, a laser displacement meter. The sheet shape measuring device 70 measures the height position of the sheet piece Ps by moving the sheet piece Ps placed on a flat plate in the width direction and length direction and irradiating the sheet surface with a laser. The sheet shape measuring device 70 is set so that the height position of the surface of the flat plate is 0, and measures the height position of the sheet piece Ps at multiple locations x1, x2, x3, x4, and x5 in the width direction of the sheet piece Ps. The amount of warping of the sheet S is, for example, the difference between the maximum and minimum height positions measured at multiple locations x1 to x5 in the width direction.

[0051] The amount of warpage of the sheet S may be the difference between the maximum and minimum height positions measured at multiple locations x1 to x5 in the longitudinal direction. The sheet shape data df may be three-dimensional coordinate data including height position data measured at multiple locations in the width and longitudinal directions.

[0052] FIG. 10 is a diagram showing an example of the sheet shape data df.

[0053] In the figure, data on the amount of warpage of the sheet S in the width direction is shown as an example of sheet shape data df. Note that the figure does not show the actual measured value of the amount of warpage. The sheet shape data df obtained by measuring the sheet S with the sheet shape measuring device 70 is output to the shape estimation device 10.

[0054] The shape estimation device 10 shown in Figure 4 includes a data acquisition unit 11 that acquires various data output from the manufacturing system 30, a relational data derivation unit 12 that derives relational data regarding the sheet shape, a sheet shape estimation unit 15 that estimates the sheet shape, a memory unit 16 that stores various data, and a display unit 17 that displays the estimation results.

[0055] The storage unit 16 is a non-volatile recording medium, such as a magnetic storage device such as a hard disk, an optical disk, a semiconductor memory, etc. The storage unit 16 stores a program (i.e., a computer program) in which commands to the data acquisition unit 11, the relational data derivation unit 12, and the seat shape estimation unit 15 are written.

[0056] The data acquisition unit 11 acquires sheet data ds, reel data dr, and sheet shape data df output from the manufacturing system 30. The sheet data ds is data obtained by measuring the sheet S transported by the manufacturing device, i.e., the sheet S before it is wound up. The reel data dr is data obtained by measuring the reel Rb in which the sheet S is wound up. The sheet shape data df is data relating to the sheet shape of the sheet S before it is wound up. These pieces of data acquired by the data acquisition unit 11 are output to the relational data derivation unit 12.

[0057] The relational data derivation unit 12 derives relational data D1 indicating the relationship between the sheet data ds and the sheet shape data df, and relational data D2 indicating the relationship between the roll data dr and the sheet shape data df. First, before deriving the relational data D1 and D2, the relational data derivation unit 12 derives the feature quantities of the sheet data ds and the roll data dr.

[0058] Fig. 11 is a diagram showing an example of the feature amount of sheet data ds. Fig. 11(a) shows the same sheet data ds as Fig. 6, and Fig. 11(b) and Fig. 11(c) each show the feature amount of the sheet data ds.

[0059] The feature amount of the sheet data ds is data indicating the relationship between thicknesses. The relational data derivation unit 12 derives the feature amount of the sheet data ds by calculating the thickness difference of the sheet S, which is the difference between the thickness at the center position C and the thickness at other positions.

[0060] For example, in lot number 2301, as shown in (b), the thickness at position L relative to the thickness at position C is -0.061 mm, and as shown in (c), the thickness at position R relative to the thickness at position C is -0.071 mm, which is a characteristic that the center in the width direction is thicker than both ends. For example, in lot number 2303, as shown in (b), the thickness at position L relative to the thickness at position C is 0.042 mm, and as shown in (c), the thickness at position R relative to the thickness at position C is 0.058 mm, which is a characteristic that the both ends in the width direction are thicker than the center. The feature quantities of the sheet data ds shown in the figure are used when deriving relational data D1 that indicates the relationship between the sheet data ds and sheet shape data df.

[0061] The feature amount of the sheet data ds may be expressed as the difference between the maximum and minimum values of the measurement data at multiple positions in the width direction, or as a curve obtained by performing regression analysis on the measurement data at multiple positions.

[0062] FIG. 12 is a diagram showing an example of a method for deriving the feature amount of the wound body data dr.

[0063] The feature amount of the winding body data dr is data that indicates the winding shape of the winding body Rb. The relational data derivation unit 12 derives the feature amount of the winding body data dr based on, for example, a curve that connects multiple edge positions on one side in the width direction or a curve that connects multiple edge positions on the other side in the width direction.

[0064] The relational data deriving unit 12 derives an approximate line based on coordinate data plotted with the position of each radially aligned sheet layer as data on the horizontal axis and the edge position of each sheet layer as data on the vertical axis, as shown in Fig. 12(a). Then, as shown in Fig. 12(b), the relational data deriving unit 12 determines the slope (Δh / ΔL) of the approximate line derived by the least squares method as a feature quantity of the winding body data dr.

[0065] The relationship data derivation unit 12 may use the standard deviation of the difference Δd with respect to the approximate line as the feature amount of the winding body data dr, as shown in (c) of Fig. 12. The relationship data derivation unit 12 may use the difference range Δr of the data based on the approximate line as the feature amount of the winding body data dr, as shown in (d) of Fig. 12. The difference range Δr of the data based on the approximate line is the difference between the intercept of a line that is parallel to the approximate line and passes through the coordinate data of the maximum value, and the intercept of a line that is parallel to the approximate line and passes through the coordinate data of the minimum value.

[0066] Fig. 13 is a diagram showing an example of the feature amount of the wound body data dr. Fig. 13(a) shows the same wound body data dr as Fig. 8, and Fig. 13(b) and Fig. 13(c) each show the feature amount of the wound body data dr.

[0067] Specifically, (b) of Fig. 13 shows the slope of the approximate line of the edge position on one side in the width direction of the negative electrode sheet S2 as a feature of the wound body data dr for the negative electrode sheet S2. (c) of Fig. 13 shows the slope of the approximate line of the edge position on one side in the width direction of the positive electrode sheet S1 as a feature of the wound body data dr for the positive electrode sheet S1. For example, lot number 202303 is characterized by a smaller slope of the approximate line than lot number 202301.

[0068] FIG. 14A is a diagram schematically illustrating an example of relational data used to estimate the seat shape.

[0069] 14A shows relational data D1 when the thickness difference of the sheet S, which is an example of a feature of the sheet data ds, is used as the explanatory variable, and the amount of warping of the sheet S, which is an example of the sheet shape data df, is used as the objective variable. The relational data D1 showing the relationship between the sheet data ds and the sheet shape data df is expressed by the linear regression equation shown in the figure, and the closer the thickness difference of the sheet S is to 0, the closer the amount of warping of the sheet S is to 0.

[0070] FIG. 14B is a diagram schematically illustrating another example of relational data used to estimate the seat shape.

[0071] 14B shows relationship data D2 when the slope of the approximation line of the edge position, which is an example of the feature value of the roll data dr, is used as the explanatory variable, and the amount of warping of the sheet S, which is an example of the sheet shape data df, is used as the response variable. The relationship data D2 showing the relationship between the sheet shape data df and the roll data dr is expressed by the linear regression equation shown in the figure, and the closer the amount of warping of the sheet S is to 0, the closer the slope of the approximation line of the edge position is to 0.

[0072] In this way, the relational data derivation unit 12 uses the sheet data ds as an explanatory variable and the sheet shape data df as an objective variable to derive relational data D1 indicating the relationship between the explanatory variable and the objective variable. Furthermore, the relational data derivation unit 12 uses the roll data dr as an explanatory variable and the sheet shape data df as an objective variable to derive relational data D2 indicating the relationship between the explanatory variable and the objective variable. The relational data D1 and D2 derived by the relational data derivation unit 12 are stored in the storage unit 16.

[0073] The storage unit 16 stores relational data D1 indicating the relationship between the sheet data ds and the sheet shape data df, and relational data D2 indicating the relationship between the roll data dr and the sheet shape data df.

[0074] The sheet shape estimation unit 15 estimates the sheet shape before the sheet S is wound up based on at least one of the sheet data ds and the wound body data dr. In this example, the sheet shape estimation unit 15 estimates the sheet shape by inputting at least one of the sheet data ds and the wound body data dr into the relational data D1 and D2 stored in the storage unit 16. Specifically, the sheet shape estimation unit 15 estimates the sheet shape by inputting the sheet data ds into the relational data D1 and / or by inputting the wound body data dr into the relational data D2.

[0075] FIG. 15 is a diagram showing an example of the seat shape estimated by the seat shape estimation unit 15. As shown in FIG.

[0076] 15 shows data on the amount of warpage of the sheet S as an estimated value of the sheet shape. Also shown in the figure are the lot number, the equipment number, the feature values of the sheet data ds, and the feature values of the roll data dr. The sheet shape estimation unit 15 outputs the information on the sheet shape shown in FIG. 15 to the display unit 17 for display. The display unit 17 is a display that displays images, text, etc.

[0077] 15 to the storage unit 16. The storage unit 16 saves the information on the seat shape etc. output from the seat shape estimation unit 15 and accumulates the data.

[0078] FIG. 16 is a diagram showing an example of accumulated data stored in the storage unit 16. As shown in FIG.

[0079] The storage unit 16 stores data on the amount of warpage of the sheet S as an estimated value of the sheet shape. The estimated value of the sheet shape is stored in a state linked to the lot number, the equipment number, the feature values of the sheet data ds, the feature values of the roll data dr, etc. The accumulated data stored in the storage unit 16 is used for improving the quality of the battery Bt, for failure analysis, for improving the manufacturing process, etc.

[0080] The shape estimation device 10 of this embodiment includes a data acquisition unit 11 that acquires at least one of sheet data ds obtained by measuring the sheet S transported by the manufacturing device and reel data dr obtained by measuring the reel Rb in which the sheet S is wound, and a sheet shape estimation unit 15 that estimates the sheet shape before the sheet S is wound based on at least one of the sheet data ds and the reel data dr.

[0081] In this way, by acquiring at least one of the sheet data ds and the roll data dr, the shape of the sheet S before it is rolled up can be estimated based on the measured data.

[0082] In the above embodiment, an example has been shown in which the data acquiring unit 11 acquires the sheet data ds, the roll data dr, and the sheet shape data df output from the manufacturing system 30, but this is not limiting. The data acquiring unit 11 may acquire the sheet data ds, the roll data dr, and the sheet shape data df by performing arithmetic processing based on a predetermined detection signal (for example, voltage data).

[0083] For example, when detection signals indicating the dimensions of the sheet S are output from the sheet measuring units 43 and 44, the data acquiring unit 11 may acquire sheet data ds by performing arithmetic processing based on the detection signals. For example, when a detection signal indicating the edge position in the width direction of the sheet S is output from the roll measuring device 60, the data acquiring unit 11 may acquire roll data dr by performing arithmetic processing based on the detection signals. For example, when a detection signal indicating the height position of the sheet S is output from the sheet shape measuring device 70, the data acquiring unit 11 may acquire sheet shape data df by performing arithmetic processing based on the detection signals.

[0084] In the above embodiment, an example has been shown in which the sheet data ds is generated by measuring the dimensions of the sheet S after it has been compressed by a compression device, but this is not limiting. For example, the sheet data ds may be generated by measuring the sheet S after it has been separated by a slitting device or after it has been dried by a drying device. Furthermore, if the sheet manufacturing devices 41 and 42 do not have a compression process, the sheet data ds may be generated by measuring the sheet S after it has been formed by a sheet forming device. Furthermore, the sheet data ds may be of the sheet S immediately before it is wound by the roll manufacturing device 50, for example, the sheet S located between the feed roller and the winding roller.

[0085] In the above embodiment, the sheet shape data df is generated by measuring the sheet S after it has been separated into multiple pieces by the slitting device and then dried by the drying device, but this is not limiting. For example, the sheet shape data df may be generated by measuring the sheet S immediately before it is wound by the roll manufacturing device 50, for example, the sheet S positioned between the payout roller and the winding roller.

[0086] [Shape estimation method] A shape estimation method according to an embodiment will be described with reference to Fig. 17 and Fig. 18. The shape estimation method according to an embodiment includes a method of deriving relational data D1 and D2 and a method of estimating a seat shape using the relational data D1 and D2. First, the method of deriving the relational data D1 and D2 will be described.

[0087] FIG. 17 is a flowchart showing a method for deriving the relational data D1 and D2 in the shape estimation method according to the embodiment.

[0088] First, the shape estimating device 10 acquires the sheet data ds (step S110).

[0089] The sheet data ds is data obtained by measuring the sheet S conveyed by the manufacturing apparatus. The sheet data ds includes, for example, data related to the thickness of the sheet S. The shape estimation device 10 acquires the sheet data ds by receiving the sheet data ds transmitted from the sheet measurement units 43 and 44 of the sheet manufacturing apparatuses 41 and 42.

[0090] Furthermore, the shape estimating device 10 acquires roll data dr of the sheet S (step S120).

[0091] The roll data dr is data obtained by measuring the roll Rb of the sheet S. The roll data dr includes, for example, data relating to the winding misalignment of the sheet S in the width direction of the roll Rb. Specifically, the roll data dr includes data relating to the edge position of the sheet S in the width direction. The shape estimation device 10 acquires the roll data dr by receiving the roll data dr transmitted from the roll measurement device 60.

[0092] Furthermore, the shape estimation device 10 acquires data df of the seat shape (step S130).

[0093] The sheet shape data df is data obtained by measuring a sheet piece Ps obtained by cutting and extracting a portion of the sheet S. The sheet shape data df includes, for example, data regarding the warpage of the sheet piece Ps. Specifically, the sheet shape data df includes data regarding the difference between the maximum and minimum height positions in the thickness direction of the sheet S. The sheet shape data df is data regarding the sheet S having the same lot number as the sheet S measured in step S110 or the sheet S wound up in step S120. The shape estimation device 10 acquires the sheet shape data df by receiving the sheet shape data df transmitted from the sheet shape measurement device 70.

[0094] Next, the shape estimation device 10 derives relational data D1 indicating the relationship between the sheet data ds and the sheet shape data df, or relational data D2 indicating the relationship between the roll data dr and the sheet shape data df (step S140).

[0095] The shape estimation device 10 derives the relational data D1 based on the sheet data ds and the sheet shape data df acquired in steps S110 and S130. The relational data D1 is expressed by a linear regression equation, for example, as shown in Fig. 14A.

[0096] The shape estimation device 10 derives the relational data D2 based on the roll data dr and the sheet shape data df acquired in steps S120 and S130. The relational data D2 is expressed by a linear regression equation, for example, as shown in Fig. 14B.

[0097] The shape estimation device 10 stores the derived relational data D1 or D2 in the storage unit 16 (step S150).

[0098] At least one of steps S110 and S120 may be executed. At least one of the relationship data D1 and D2 may be derived. At least one of the relationship data D1 and D2 may be stored in the storage unit 16.

[0099] Next, a method for estimating the sheet shape using the relational data D1 and D2 will be described. The sheet S whose shape is to be estimated is of the same type as the sheet S handled in steps S110 to S130, specifically, the sheet S is made of the same material, has the same standard thickness, and is manufactured under the same manufacturing conditions.

[0100] FIG. 18 is a flowchart showing a method of estimating a seat shape using relational data D1 and D2, among the shape estimation methods according to the embodiment.

[0101] The shape estimating device 10 acquires the sheet data ds (step S210). The shape estimating device 10 acquires the sheet data ds in the same manner as in step S110.

[0102] Furthermore, the shape estimating device 10 acquires the roll data dr of the sheet S (step S220). The shape estimating device 10 acquires the roll data dr in the same manner as in step S120.

[0103] Next, the shape estimation device 10 estimates the sheet shape based on the relational data indicating the relationship between at least one of the sheet data ds and the roll data dr and the sheet shape data df (step S230).

[0104] For example, the shape estimation device 10 estimates the sheet shape by inputting sheet data ds into relational data D1 stored in the storage unit 16. The shape estimation device 10 also estimates the sheet shape by inputting roll data dr into relational data D2 stored in the storage unit 16. Note that the shape estimation device 10 may input sheet data ds and roll data dr corresponding to the relational data D1 and D2, respectively, and estimate the sheet shape based on the results of both.

[0105] The shape estimation device 10 estimates the seat shape by executing these steps S110 to S150 and S210 to S230.

[0106] The shape estimation method of this embodiment includes a step of acquiring at least one of sheet data ds obtained by measuring the sheet S and reel data dr obtained by measuring the reel Rb of the sheet S, and a step of estimating the sheet shape before the sheet S is reeled up based on at least one of the sheet data ds and the reel data dr.

[0107] In this way, by acquiring at least one of the sheet data ds and the roll data dr, it is possible to estimate the shape of the sheet S before it is rolled up.

[0108] [Variations] A shape estimation device 10 according to a modified example of the embodiment will be described with reference to Figures 19 and 20. In the modified example, an example in which a seat shape is estimated using a learning model will be described.

[0109] FIG. 19 is a block diagram showing the configuration of a management system 1 including a shape estimation device 10 according to a modified example of the embodiment and a manufacturing system 30 for manufacturing batteries Bt.

[0110] The management system 1 of the modified example includes a shape estimation device 10 and a manufacturing system 30. The configuration of the manufacturing system 30 is the same as that of the embodiment.

[0111] 19 includes a data acquisition unit 11 that acquires various data output from a manufacturing system 30, a learning model generation unit 13 that generates a learning model for estimating a seat shape, a seat shape estimation unit 15 that estimates the seat shape, a storage unit 16 that stores various data, and a display unit 17 that displays the estimation results. The configurations of the data acquisition unit 11 and the display unit 17 are the same as those in the embodiment.

[0112] The learning model generation unit 13 acquires the sheet data ds, the roll data dr, and the sheet shape data df output from the data acquisition unit 11.

[0113] FIG. 20 is a diagram showing an example of a learning model M used to estimate the seat shape.

[0114] The learning model generation unit 13 generates a learning model M by performing learning using both the sheet data ds and the roll data dr as input data and the sheet shape data df as output data. The learning model M is, for example, a random forest machine learning model. The learning model M generated by the learning model generation unit 13 is stored in the memory unit 16.

[0115] The learning model M may be a learning model that has been trained using only the sheet data ds as input data and the sheet shape data df as output data.The learning model M may also be a learning model that has been trained using only the roll data dr as input data and the sheet shape data df as output data.The learning model M may also be a model that uses a convolutional neural network.

[0116] The sheet shape estimation unit 15 estimates the sheet shape before the sheet S is wound up based on the learning model M. In this example, the sheet shape estimation unit 15 estimates the sheet shape by inputting both the sheet data ds and the wound body data dr into the learning model M stored in the memory unit 16.

[0117] The seat shape estimation unit 15 outputs information such as the estimated seat shape to the display unit 17 for display. The seat shape estimation unit 15 also outputs the information such as the seat shape to the storage unit 16. The storage unit 16 stores the information such as the seat shape output from the seat shape estimation unit 15 and accumulates the data. The accumulated data stored in the storage unit 16 is used for improving the quality of the battery Bt, analyzing failures, improving the manufacturing process, etc.

[0118] The modified shape estimation device 10 includes a data acquisition unit 11 that acquires at least one of sheet data ds obtained by measuring the sheet S transported by the manufacturing device and reel data dr obtained by measuring the reel Rb in which the sheet S is wound, and a sheet shape estimation unit 15 that estimates the sheet shape before the sheet S is wound based on at least one of the sheet data ds and the reel data dr.

[0119] In this way, by acquiring at least one of the sheet data ds and the roll data dr, the shape of the sheet S before it is rolled up can be estimated based on the measured data.

[0120] A shape estimation method according to a modified example of the embodiment will be described with reference to Fig. 21 and Fig. 22. The shape estimation method according to the modified example includes a method of generating a learning model M and a method of estimating a seat shape using the learning model M. First, the method of generating the learning model M will be described.

[0121] FIG. 21 is a flowchart showing a method for generating a learning model M in a shape estimation method according to a modified example of the embodiment.

[0122] First, the shape estimation device 10 acquires sheet data ds (step S110). The shape estimation device 10 also acquires roll data dr of the sheet S (step S120). Furthermore, the shape estimation device 10 acquires sheet shape data df (step S130).

[0123] Next, the shape estimation device 10 generates a learning model M for estimating the sheet shape (step S140A). The shape estimation device 10 generates the learning model M by performing learning using both the sheet data ds and the roll data dr as input data and the sheet shape data df as output data.

[0124] The shape estimation device 10 stores the generated learning model M in the storage unit 16 (step S150A).

[0125] Next, a method for estimating the seat shape using the learning model M will be described.

[0126] FIG. 22 is a flowchart showing a method of estimating a seat shape using a learning model M, among other shape estimation methods according to the modified embodiment.

[0127] The shape estimating device 10 acquires sheet data ds (step S210), and also acquires roll data dr of the sheet S (step S220).

[0128] Next, the shape estimation device 10 estimates the seat shape based on the learning model M stored in the storage unit 16 (step S230A).

[0129] For example, the shape estimation device 10 estimates the sheet shape by inputting both the sheet data ds and the roll data dr into the learning model M. Note that if the learning model M is a model that has been trained by inputting only the sheet data ds, the shape estimation device 10 may input the sheet data ds into the learning model M to estimate the sheet shape. Also, if the learning model M is a model that has been trained by inputting only the roll data dr, the shape estimation device 10 may input the roll data dr into the learning model M to estimate the sheet shape.

[0130] The shape estimation device 10 estimates the sheet shape by executing these steps S110 to S150A and S210 to S230A.

[0131] (summary) The shape estimation device and the like of the present disclosure will be exemplified.

[0132] The shape estimation device 10 of Example 1 includes a data acquisition unit 11 that acquires at least one of sheet data ds obtained by measuring the sheet S transported by the manufacturing device and reel data dr obtained by measuring the reel Rb in which the sheet S is wound, and a sheet shape estimation unit 15 that estimates the sheet shape before the sheet S is wound based on at least one of the sheet data ds and the reel data dr.

[0133] In this way, by acquiring at least one of the sheet data ds and the roll data dr, it is possible to estimate the sheet shape before the sheet S is rolled up based on the actually measured data. For example, with this shape estimation device 10, it is possible to minimize downtime of the manufacturing equipment and estimate the sheet shape without destroying the product.

[0134] The shape estimation device 10 of Example 2 is the shape estimation device described in Example 1, and further includes a storage unit 16 that stores relationship data indicating the relationship between at least one of sheet data ds and roll data dr and sheet shape data df. The sheet shape estimation unit 15 may estimate the sheet shape by inputting at least one of sheet data ds and roll data dr into the relationship data.

[0135] This allows the sheet shape to be estimated based on the above-mentioned relationship data stored in the storage unit 16.

[0136] The shape estimation device 10 of the third example is the shape estimation device described in the second example, and the relational data may be a linear regression formula.

[0137] This allows the sheet shape to be estimated based on the relational data expressed by a linear regression formula.

[0138] The shape estimation device 10 of Example 4 is the shape estimation device described in Example 1, and further includes a memory unit 16 in which a learning model M is stored, the learning model M having at least one of sheet data ds and roll data dr as input data and sheet shape data df as output data. The sheet shape estimation unit 15 may estimate the sheet shape by inputting at least one of the sheet data ds and roll data dr to the learning model M.

[0139] This allows the seat shape to be estimated based on the learning model M stored in the storage unit 16.

[0140] The shape estimation device 10 of Example 5 is the shape estimation device described in Example 4, and the learning model M may be a random forest machine learning model.

[0141] This allows the sheet shape to be estimated based on a random forest machine learning model.

[0142] The shape estimating device 10 of Example 6 is the shape estimating device according to any one of Examples 1 to 5, and the sheet shape estimating unit 15 may estimate the sheet shape based on both the sheet data ds and the roll data dr.

[0143] In this way, by acquiring both the sheet data ds and the roll data dr, it is possible to estimate the shape of the sheet S before it is rolled up based on both measured data.

[0144] The shape estimation device 10 of Example 7 is a shape estimation device described in any one of Examples 1 to 6, and the sheet data ds may include data regarding the thickness of the sheet S, the reel data dr may include data regarding the widthwise winding misalignment of the sheet S on the reel Rb, and the sheet shape data df may include data regarding the warp of the sheet S.

[0145] This makes it possible to estimate the shape of the sheet S before it is wound up based on data relating to the thickness of the sheet S, the winding misalignment in the width direction of the roll Rb, and the warp of the sheet S.

[0146] The shape estimation device 10 of Example 8 is the shape estimation device according to any one of Examples 1 to 7, and the sheet S may be a positive electrode sheet S1 or a negative electrode sheet S2 that becomes a positive electrode plate or a negative electrode plate of a wound type battery Bt.

[0147] This makes it possible to estimate the shape of each of the positive electrode sheet S1 and the negative electrode sheet S2 before they are wound up.

[0148] The shape estimation method of Example 9 includes a step of acquiring at least one of sheet data ds obtained by measuring the sheet S and reel data dr obtained by measuring the reel Rb of the sheet S, and a step of estimating the sheet shape before the sheet S is reeled based on at least one of the sheet data ds and the reel data dr.

[0149] In this way, by acquiring at least one of the sheet data ds and the roll data dr, it is possible to estimate the sheet shape before the sheet S is rolled up based on the actually measured data. For example, this shape estimation method can minimize downtime of the manufacturing equipment and estimate the sheet shape without destroying the product.

[0150] (Other embodiments) While the shape estimation device and the like according to the present disclosure have been described above based on the embodiments, the present disclosure is not limited to these embodiments. As long as they do not deviate from the gist of the present disclosure, various modifications conceivable by a person skilled in the art to the embodiments and other forms constructed by combining some of the components of the embodiments are also included within the scope of the present disclosure.

[0151] In the above embodiment, an example has been described in which data is transmitted from each of the sheet measuring units 43 and 44, the roll measuring device 60, and the sheet shape measuring device 70 to the shape estimation device 10, but this is not limiting. For example, the sheet data ds may be stored in a memory unit within the sheet manufacturing apparatuses 41 and 42, and then read from the memory unit and transmitted to the shape estimation device 10. The roll data dr may be stored in a memory unit within the roll measuring device 60, and then read from the memory unit and transmitted to the shape estimation device 10. The sheet shape data df may be stored in a memory unit within the sheet shape measuring device 70, and then read from the memory unit and transmitted to the shape estimation device 10.

[0152] In the above embodiment, an example has been described in which the sheet shape data df is generated by a device within the manufacturing system 30, but this is not limiting. The sheet shape data df may be generated, for example, by an inspection device external to the manufacturing system 30 and transmitted to the shape estimation device 10.

[0153] In the above embodiment, an example was shown in which an approximate line was derived based on two-dimensional coordinate data plotted with the position of each radially aligned sheet layer as data on the horizontal axis and the edge position of each sheet layer as data on the vertical axis, but this is not limiting. For example, the approximate line may be derived based on three-dimensional coordinate data in which the feature amount of the sheet data ds is the first axis, the feature amount of the roll data dr is the second axis, and the amount of warpage of the sheet S is the third axis.

[0154] For example, the shape estimation device may be specifically configured as a computer system including a microprocessor, ROM, RAM, a hard disk drive, a display unit, a keyboard, a mouse, etc. A shape estimation program is stored in the RAM or the hard disk drive. The shape estimation device achieves its functions by the microprocessor operating in accordance with the shape estimation program. Here, the shape estimation program is configured by combining multiple instruction codes that indicate commands to the computer to achieve a predetermined function.

[0155] Furthermore, some or all of the components constituting the shape estimation device may be configured as a single system LSI (Large Scale Integration). A system LSI is an ultra-multifunctional LSI manufactured by integrating multiple components on a single chip, and specifically, is a computer system configured to include a microprocessor, ROM, RAM, etc. A computer program is stored in the RAM. The system LSI achieves its functions when the microprocessor operates in accordance with the computer program.

[0156] Furthermore, some or all of the components constituting the shape estimation device may be configured as an IC card or a standalone module that can be attached to or detached from a computer. The IC card or module is a computer system composed of a microprocessor, ROM, RAM, etc. The IC card or module may include the ultra-multifunctional LSI described above. The IC card or module achieves its functions when the microprocessor operates according to a computer program. This IC card or module may be tamper-resistant.

[0157] The present disclosure may also be a shape estimation method executed by the shape estimation device. The shape estimation method may be realized by a computer executing a shape estimation program, or may be realized by a digital signal comprising the shape estimation program.

[0158] Furthermore, the present disclosure may be configured such that the shape estimation program or the digital signal is stored on a computer-readable non-transitory recording medium. Examples of the recording medium include a flexible disk, a hard disk, a CD-ROM, an MO, a DVD, a DVD-ROM, a DVD-RAM, a Blu-ray (registered trademark) Disc (BD), and a semiconductor memory. The shape estimation program may be stored on a non-transitory recording medium.

[0159] Furthermore, the present disclosure may be configured by transmitting the shape estimation program or the digital signal via a telecommunications line, a wireless or wired communication line, a network such as the Internet, or data broadcasting, etc.

[0160] The present disclosure may also be a computer system including a microprocessor and a memory, the memory storing a shape estimation program, and the microprocessor operating in accordance with the shape estimation program.

[0161] In addition, the shape estimation program or the digital signal may be implemented by another independent computer system by recording it on the non-temporary recording medium and transferring it, or by transferring the shape estimation program or the digital signal via the network or the like.

[0162] The seat configuration estimation system may also be configured with a server and a terminal carried by a user that is connected to the server via a network. [Industrial Applicability]

[0163] The device of the present disclosure can be applied to a shape estimation device that estimates the shape of a sheet that will become an electrode plate of a wound battery. [Explanation of symbols]

[0164] 1 Management System 10 Shape estimation device 11 Data Acquisition Section 12 Relational Data Derivation Unit 13 Learning model generation unit 15 Seat shape estimation unit 16 Memory section 17 Display section 30 Manufacturing Systems 41, 42 Sheet manufacturing equipment 43, 44 Sheet measurement unit 50 Winding body manufacturing equipment 60 Roll measuring device 70 Seat shape measuring device Bt battery df Sheet shape data dr Winding data ds sheet data D1, D2 relational data M Learning Model Ps sheet piece Rb winding body Rc winding core S seat S1 Positive electrode sheet S2 negative electrode sheet Sp Separator tp cutting tape

Claims

1. a data acquisition unit that acquires at least one of sheet data obtained by measuring a sheet conveyed by a manufacturing device and roll data obtained by measuring a roll around which the sheet is rolled; a sheet shape estimation unit that estimates a sheet shape before the sheet is wound based on at least one of the sheet data and the wound body data; A shape estimation device comprising:

2. Further, a storage unit is provided in which relational data indicating a relationship between at least one of the sheet data and the roll data and the sheet shape data is stored, The sheet shape estimation unit estimates the sheet shape by inputting at least one of the sheet data and the roll data into the relationship data. The shape estimation device according to claim 1 .

3. The relationship data is a linear regression equation The shape estimation device according to claim 2 .

4. Further, a memory unit is provided in which a learning model is stored, the learning model being learned using at least one of the sheet data and the roll data as input data and the sheet shape data as output data, The sheet shape estimation unit estimates the sheet shape by inputting at least one of the sheet data and the roll data into the learning model. The shape estimation device according to claim 1 .

5. The learning model is a random forest machine learning model. The shape estimation device according to claim 4 .

6. The sheet shape estimation unit estimates the sheet shape based on both the sheet data and the roll data. The shape estimation device according to any one of claims 1 to 5.

7. the sheet data includes data regarding the thickness of the sheet; the winding body data includes data regarding winding misalignment of the sheet in the width direction of the winding body, The sheet shape data includes data on warpage of the sheet. The shape estimation device according to any one of claims 2 to 5.

8. The sheet is a positive electrode sheet or a negative electrode sheet that will become a positive electrode plate or a negative electrode plate of a wound type battery. The shape estimation device according to any one of claims 1 to 5.

9. acquiring at least one of sheet data obtained by measuring a sheet and roll data obtained by measuring a roll of the sheet; estimating a sheet shape before winding the sheet based on at least one of the sheet data and the winding body data; A shape estimation method including:

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