Secondary battery manufacturing system and method for generating intermediate roll map using same

Abstract

According to an exemplary embodiment of the invention, a method for generating an intermediate roll graph is provided. The method comprises the steps of: inputting a search parameter of coordinate-related measurement data, which is collected based on measurement of an electrode sheet and includes raw measurement data; and outputting the coordinate-related measurement data based on a search parameter, where the search parameter includes a start coordinate and an end coordinate representing a portion of the electrode sheet from which the coordinate-related measurement data is to be collected.

Description

Technical Field

[0001] This invention relates to a secondary battery manufacturing system capable of being used in batches (in units of wound electrode sheets) and a method for generating intermediate roll patterns using the secondary battery manufacturing system. This application claims the benefit of priority based on Korean Patent Application No. 10-2023-0102229, filed August 4, 2023, the entire contents of which are incorporated herein by reference. Background Technology

[0002] Unlike primary batteries, secondary batteries can be charged and discharged multiple times. Secondary batteries are widely used as a power source for various types of wireless devices, such as handheld devices, laptops, and cordless vacuum cleaners. Recently, the primary use of secondary batteries has expanded from mobile devices to mobility, as the manufacturing cost per unit capacity of secondary batteries has significantly decreased due to improved energy density and economies of scale, and the driving range of battery electric vehicles (BEVs) has increased to the same level as fuel cell vehicles.

[0003] Secondary batteries are manufactured through electrode processing, assembly processing, and activation processing. Among these processes, electrode processing is the key process determining the yield and performance of the battery cell. Electrode processing can include coating, rolling, and slitting. In the coating process, active and insulating materials are applied to the surface of the current collector. In the rolling process, the electrodes are pressed by pressing rollers. The density, performance, and surface quality of the electrodes can be determined in the rolling process. In the slitting process, the electrodes are cut into multiple electrodes according to the design of the battery cell. Summary of the Invention

[0004] Technical issues

[0005] The present invention relates to a system configured to generate intermediate roll plots that include information about quality and defects in an electrode manufacturing process.

[0006] Technical solution

[0007] An exemplary embodiment of the present invention provides a method for generating intermediate roll plots. The method includes: inputting search parameters for coordinate-related measurement data, the coordinate-related measurement data being collected based on measurements of an electrode sheet and including raw measurement data; and transmitting the coordinate-related measurement data based on the search parameters, wherein the search parameters include start and end coordinates indicating the location of the electrode sheet from which the coordinate-related measurement data is collected.

[0008] The search parameters may include a device code for identifying the secondary battery manufacturing equipment used to process the electrode sheet.

[0009] The search parameters may include the date and time of collection of the coordinate-related measurement data.

[0010] The collection date and time can be in the form of a timestamp.

[0011] The search parameters may include the measurement items of the coordinate-related measurement data.

[0012] The method may further include: transmitting an application programming interface (API) call to a server configured to store the coordinate-related measurement data based on the search parameters.

[0013] An exemplary embodiment provides a secondary battery manufacturing system. The secondary battery manufacturing system includes: a first controller configured to collect coordinate data of an electrode sheet based on a winding amount signal of an electrode sheet generated by an encoder, wherein the encoder is configured to sense the length of the electrode sheet wound by a rewinder to generate the winding amount signal, and the coordinate data includes coordinates indicating a position on the electrode sheet; a measuring device configured to associate the coordinate data with measurement data of the electrode sheet to generate coordinate-related measurement data including the measurement data; and a server configured to store the coordinate-related measurement data and transmit the coordinate-related measurement data to an external source in response to an application programming interface (API) call.

[0014] The API call can be generated based on search parameters, and the search parameters can include the start and end coordinates of the part of the electrode sheet for collecting the coordinate-related measurement data.

[0015] The search parameters may include a device code for identifying the secondary battery manufacturing equipment used to process the electrode sheet.

[0016] The search parameters may include the date and time of collection of the coordinate-related measurement data.

[0017] The collection date and time can be in the form of a timestamp.

[0018] The search parameters may include the measurement items of the coordinate-related measurement data.

[0019] Beneficial effects

[0020] An exemplary embodiment of the present invention provides a system for generating roll patterns that enable feedback, feedforward, and tracking of electrode processes.

[0021] The effects achievable according to exemplary embodiments of the present invention are not limited to those described above, and other effects not described herein will be clearly derived and understood by those skilled in the art from the following description to which the exemplary embodiments of the present invention pertain. That is, those skilled in the art can derive from the exemplary embodiments of the present invention unintended effects achieved when implementing the exemplary embodiments of the present invention. Attached Figure Description

[0022] Figure 1 A secondary battery manufacturing system according to an exemplary embodiment is shown.

[0023] Figure 2 The measurement device is shown measuring the electrode plate.

[0024] Figure 3 A visualization of the rollout is shown.

[0025] Figure 4 This is a flowchart of a roll map generation method according to an exemplary embodiment.

[0026] Figure 5 A secondary battery manufacturing system according to an exemplary embodiment is shown.

[0027] Figure 6 A secondary battery manufacturing system according to an exemplary embodiment is shown. Detailed Implementation

[0028] Hereinafter, embodiments of the invention will be described in detail with reference to the accompanying drawings. Before describing embodiments of the invention, the terms or expressions used in this specification and claims should not be construed as limited to their common understanding or definition in common dictionaries, and should be understood based on the principle that the inventors of this application can appropriately define terms or expressions to best interpret the invention according to the meaning and concept corresponding to the invention.

[0029] Therefore, the embodiments described herein and the configurations shown in the accompanying drawings are merely embodiments of the present invention and do not reflect all the technical ideas of the present invention. It should be understood that various equivalent examples and variations of alternative configurations may have already existed as of the date of filing of this application.

[0030] When it is determined that well-known configurations or functions related to the description of the present invention would obscure the subject matter of the invention due to unnecessary details, these well-known configurations or functions will not be described in detail.

[0031] Because embodiments of the invention are provided to more fully explain the invention to those skilled in the art, the shapes, dimensions, etc. of the components shown in the drawings may be enlarged, omitted, or schematically illustrated for clarity. Therefore, it should not be construed that the dimensions or proportions of the components completely reflect their actual dimensions or proportions.

[0032] (First Implementation)

[0033] Figure 1 A secondary battery manufacturing system 10 according to an exemplary embodiment is shown.

[0034] Figure 2 The measurement device is shown measuring the electrode plate ES.

[0035] Figure 3 A visualization of the volume chart VRM is shown.

[0036] refer to Figures 1 to 3 The secondary battery manufacturing system 10 may include secondary battery manufacturing equipment 100, roll pattern generator 200, and user device 300.

[0037] The secondary battery manufacturing equipment 100 can be configured to perform secondary battery manufacturing processes. The secondary battery manufacturing equipment 100 may include an unwinder 111, a rewinder 113, a processing mechanism 115, a first encoder 121, a second encoder 123, a measuring device 130, a first controller 141, and a second controller 143.

[0038] Unwinder 111 can be configured to unwind electrode sheet ES from electrode roll ER1. Rewinder 113 can be configured to wind electrode sheet ES into electrode roll ER2. Therefore, electrode sheet ES can move between unwinder 111 and rewinder 113.

[0039] The manufacturing process for secondary batteries (e.g., electrode processing) can be performed on the electrode sheet ES. Since the electrode processing is performed on the electrode sheet ES that has been unwound from the electrode roll ER1 and wound into the electrode roll ER2, this electrode processing can be referred to as a roll-to-roll process.

[0040] The electrode sheet ES can be processed by the processing unit 115. For example, the processing unit 115 may include a coater, and the electrode sheet ES may be coated with an electrode paste. As another embodiment, the processing unit 115 may include a pressure roller, and the electrode sheet ES coated with electrode paste may be subjected to a rolling process. As another embodiment, the processing unit 115 may include a splicing mold and a waste port, and a portion of the electrode sheet ES may be discarded. As another embodiment, the processing unit 115 may include a slitting blade, and the electrode sheet ES may be divided into multiple electrode sheets.

[0041] The coating process is the process of applying a coating material, such as an electrode paste, to an electrode sheet (ES). The electrode paste may include electrode active materials, conductive agents, binders, and solvents. The electrode paste can be provided by dissolving the electrode active materials, conductive agents, binders, etc., in a solvent.

[0042] Roll forming is a process in which electrode sheets (ES) coated with electrode paste are passed between facing rollers. By using rollers, the surface of the electrode can be flattened, and the bonding force between the active material and the current collector can be increased.

[0043] Coating and rolling processes are performed on wide electrode sheets (ES) to increase the output (e.g., GWh) of each production line in the secondary battery manufacturing equipment. Subsequently, in the slitting process, the wide electrode sheets (ES) can be cut according to the specifications of the battery cells.

[0044] The first encoder 121 can be configured to sense the amount of electrode sheet ES unwound from electrode roll ER1 by unwinder 111. Therefore, the first encoder 121 can be configured to generate a unwinding amount signal UWAS representing the amount of unwinding of electrode sheet ES. The first encoder 121 can be configured to transmit the unwinding amount signal UWAS to a first controller 141. The first controller 141 can be configured to collect input quantity data based on the unwinding amount signal UWAS of electrode sheet ES. The input quantity data can represent the amount of material (i.e., electrode roll ER1) input into the secondary battery manufacturing apparatus 100 to manufacture a secondary battery.

[0045] The second encoder 123 can be configured to sense the amount of electrode sheet ES wound into electrode roll ER2 by rewinder 113. Therefore, the second encoder 123 can be configured to generate a winding amount signal WAS indicating the amount of winding of electrode sheet ES. The second encoder 123 can be configured to transmit the winding amount signal WAS1 to the first controller 141. The first controller 141 can be configured to collect winding amount data based on the winding amount signal WAS of electrode sheet ES. The winding amount data can represent the production performance of the secondary battery manufacturing equipment 100.

[0046] In some cases, a portion of the electrode sheet ES may be discarded, so the amount of electrode sheet ES unwound by the unwinder 111 may differ from the amount of electrode sheet ES wound by the rewinder 113. Additionally, when the electrode sheet ES is stretched due to pressure in subsequent processes such as rolling, the amount of electrode sheet ES unwound by the unwinder 111 may differ from the amount of electrode sheet ES wound by the rewinder 113.

[0047] As a non-limiting embodiment, the first controller 141 and the second controller 143 may be programmable logic controllers (PLCs). A PLC is a special type of microprocessor-based controller that uses programmable memory to store instructions and implements functions such as logic, sequencing, timing, counting, and arithmetic operations to control machines and processes. PLCs are easy to operate and program.

[0048] The first controller 141 and the second controller 143 may include a power supply, a CPU, an input interface, an output interface, a communication interface, and a storage device. The power supply may be configured to supply power to other components of the first controller 141 and the second controller 143 (such as the CPU, input interface, output interface, communication interface, and storage device) to operate the first controller 141 and the second controller 143. The storage device may include a read-only memory (ROM) and a random access memory (RAM). The ROM is configured to store system programs (such as an operating system), and the RAM is configured to store data (such as user programs, status information of input and output devices, and values ​​of timers, counters, and other internal devices). The CPU may be configured to implement logic and control communication between modules that convert input signals into output operation signals. The CPU may operate based on system programs and user programs stored in the storage device. The CPU may be configured to write inspection data and measurement data to or read inspection data and measurement data from the data area of ​​the storage device based on the system program and user program. Conditions or data of industrial equipment and production processes may be transmitted to the CPU via input modules. The results of processing by the CPU can be transmitted to the actuator via the output module. The communication interface can be configured to transmit and receive data between the first controller 141 and the second controller 143 or between the second controller 143 and the server 210.

[0049] However, the implementation is not limited to this, and the first controller 141 and the second controller 143 may each include one of a simple controller, a complex processor such as a microprocessor, a CPU or GPU, or a processor configured by software / dedicated hardware and firmware. The first controller 141 and the second controller 143 may be implemented, for example, by a general-purpose computer or dedicated hardware such as a digital signal processor (DSP), a field-programmable gate array (FPGA) or an application-specific integrated circuit (ASIC).

[0050] The first controller 141 can be configured to collect coordinate data CD of the electrode sheet ES based on the unwinding amount signal UWAS or the winding amount signal WAS of the electrode sheet ES. For example, the first controller 141 can determine the moving distance of the electrode sheet ES based on the winding amount signal WAS of the electrode sheet ES, and thus, the position of the portion of the electrode sheet ES wound by the rewinder 113 on the electrode sheet ES can be determined at each time point of the coating process. The technical concept of the present invention will be described below with respect to an embodiment in which the first controller 141 collects coordinate data CD based on the winding amount signal WAS of the electrode sheet ES.

[0051] The coordinate data CD can include coordinates that match each part of the electrode sheet ES. That is, coordinates can be given to any point on the electrode sheet ES. The coordinates can be one-dimensional (1D) quantities in the machine direction MD (or the longitudinal direction of the electrode sheet ES) of movement of the electrode sheet ES, but are not limited to this. The coordinates can be two-dimensional (2D) quantities in the machine direction MD and the lateral direction TD (or the width direction of the electrode sheet ES) of the electrode sheet ES.

[0052] The measuring device 130 can be configured to measure the electrode sheet ES to collect measurement data of the electrode sheet ES. The measuring device 130 can be configured to scan the electrode sheet ES. The measuring device 130 can move in the lateral direction TD. During one scan, the sensing portion 131 of the measuring device 130 can move from one end of the electrode sheet ES in the lateral direction TD to the other end of the electrode sheet ES in the lateral direction TD.

[0053] When the measuring device 130 scans in the lateral direction TD, the electrode sheet ES can move in the machine direction MD by means of the unwinder 111 and the rewinder 113. Therefore, the portion of the electrode sheet ES measured by the measuring device 130 can be similar to Figure 2 The alternating long and short dashed lines form a zigzag pattern. That is, Figure 2 The alternating long and short dashed lines can indicate the movement path of the measuring field (FOM) of the measuring device 130 according to the movement of the electrode plate ES and the measuring device 130.

[0054] Measurement data may include inspection results expressed numerically. For example, measurement data may include dimensional data of the electrode sheet ES (e.g., thickness and width), data on the amount of coating material loaded on the electrode sheet ES, dimensional data (e.g., the width of the insulating material on the coating material and the overlap width between the coating material and the insulating material), misalignment data between the coating strip on the top surface of the electrode sheet ES and the coating strip on the bottom surface of the electrode sheet ES, etc. Here, the loading amount is the amount of coating material loaded per unit area of ​​the electrode sheet ES, and may be the areal density of the coating material.

[0055] As a non-limiting embodiment, the measuring device 130 may be one of a web gauge and a thickness gauge manufactured by Thermofisher Scientific.

[0056] The measuring device 130 may include a sensing section 131 and a processor 133. The sensing section 131 may be configured to sense a physical quantity of an electrode sheet ES to generate a measurement signal MS. For example, the sensing section 131 may include a time-delay and integration (TDI) camera, a complementary metal-oxide-semiconductor (CMOS) image sensor, a time-of-flight (TOF) sensor, etc. The sensing section 131 may include a transmitter and receiver configured to perform measurements using non-destructive signals such as ultrasound, microwaves, terahertz waves, or infrared light. The sensing section 131 may include analog and / or digital sensors, such as biosensors, chemical sensors, composition sensors, current and / or power meters, air quality sensors, gas sensors, Hall effect sensors, brightness level sensors, and optical sensors. The measuring device 130 may include pressure sensors, temperature sensors, ultrasonic sensors, proximity sensors, door status sensors, motion tracking sensors, humidity sensors, visible light and infrared sensors, cameras, etc.

[0057] The secondary battery manufacturing equipment 100 may also include an inspector configured to inspect electrode sheets ES to collect inspection data. The inspection data may include quality judgments and process event data for a portion of the electrode sheet ES. For example, the inspection data may include: data on the appearance of the electrode sheet ES collected by an image-based inspection device such as a vision machine; data on breaks and joints in the electrode sheet ES; data on the portions of the electrode sheet ES that are sampled and inspected; data on the portions of the electrode sheet ES that are to be discarded; data on the discarded portions of the electrode sheet ES; data on whether there are defects in the coating and insulating materials on the electrode sheet ES; data on reference points indicating positions on the electrode sheet ES; and defect data such as pinhole defects, pit defects, line defects, crack defects, side ring defects, island defects, fold defects, wrinkle defects, scar defects, and scratch defects. Reference points may be formed at intervals on the electrode sheet ES, and other elements on the electrode sheet ES may be positioned based on these reference points. The inspector may be a color sensor, a joint sensor, a reference point sensor, or a vision machine.

[0058] The measuring device 130 may be configured to collect two or more types of data. For example, the measuring device 130 may be configured to measure the thickness of the electrode sheet ES and the measured amount of coating material on the electrode sheet ES (e.g., the amount of loading on the electrode sheet ES or the thickness of the electrode sheet ES). Alternatively, in addition to measuring the mismatch of the electrode sheet ES, the measuring device 130 may be configured to sense a reference point on the electrode sheet ES.

[0059] The aforementioned measurement and inspection data can be time-series data. Measurement and inspection data can be sorted by time. Measurement and inspection data can be indexed by time. Measurement data may include measured values ​​and time values ​​(or multiple time values) matching the measured values. Test data may include inspection values ​​and time values ​​(or multiple time values) matching the inspection values. Sorting by time is a key characteristic of time-series data and should be understood as organizing events in the order in which they occur and arrive for processing. That is, measurement and inspection data can be stored based on the time points at which line measurements and inspections are performed and can be time-related. The time values ​​of measurement and inspection data can be, for example, in the form of timestamps, but are not limited to this.

[0060] For example, measured data (e.g., the amount of load on the electrode sheet ES or the thickness of the electrode sheet ES) may include a series of measured quantities (e.g., the amount of load on the electrode sheet ES or the thickness of the electrode sheet ES) and time values ​​associated with the series of measured quantities. The load and time values ​​may be matched in a one-to-one manner, but are not limited to this. The load may be matched with a single timestamp that indicates the start point of the load measurement in a many-to-one manner. As another embodiment, defect data may include a value indicating a defect and a time value associated with the value indicating the defect. Here, the value indicating a defect includes at least one of information about the presence of a defect or information about the type of defect.

[0061] Processor 133 can be configured to receive a measurement signal MS sensed by sensing unit 131 to collect measurement data. Processor 133 can be configured to collect measurement data based on the measurement signal MS. Processor 133 can be connected to sensing unit 131 via wired or wireless means. Processor 133 can be configured to correct the measurement data by adding an offset measurement to each measured value of the measurement data. Due to process advancements and equipment aging, the measured values ​​of the measurement data may differ from the actual values. Processor 133 can correct the measured values ​​of the measurement data based on the offset measurement to improve the reliability of the roll pattern generator 200 and the roll pattern generation method. The offset measurement can be determined based on information given to the device system through methods such as sample testing.

[0062] The first controller 141 can operatively communicate with the first encoder 121 and the second encoder 123, the measuring device 130, and additional measuring devices and inspectors via a wired or wireless data network. The data network can be unidirectional or bidirectional. The data network can be implemented using physical channels, WiFi, Bluetooth, and / or other frequency bands from public and / or private networks. The first encoder 121 and the second encoder 123, the measuring device 130, and the additional measuring devices and inspectors can be configured to collect data from equipment, workpieces, intermediate products, and finished products in the secondary battery manufacturing equipment 100, or to generate signals for collecting data. The first controller 141 can be configured to transmit coordinate data CD to the processor 133.

[0063] Processor 133 can be configured to generate coordinate-dependent measurement data (CMD) based on coordinate data (CD) and measurement data. Processor 133 can be configured to associate coordinate data (CD) with measurement data to generate coordinate-dependent measurement data (CMD). Typically, measurement data can be processed based on trigger points. Embodiments of measurement data processing may include storing measurement data, manipulating measurement data (e.g., generating coordinate-dependent measurement data (CMD), and transmitting measurement data.

[0064] As a non-limiting embodiment, the trigger point for processing measurement data can be the completion of a scan. For example, the sensing unit 131 can scan the electrode sheet ES in the lateral direction TD, and can store, process, manipulate, and transmit measurement data each time a scan is performed. As another embodiment, the trigger point can be the completion of multiple scans or the partial completion of a scan.

[0065] Based on the scan performed by the sensing portion 131 of the measuring device 130, the electrode sheet ES can be divided into multiple segments S1, S2, S3, S4, S5, and S6. Each of the multiple segments S1, S2, S3, S4, S5, and S6 can correspond to one of the scans performed by the sensing portion 131. Figure 2 In the diagram, the dashed lines represent the imaginary boundary lines between multiple segments S1, S2, S3, S4, S5, and S6.

[0066] According to an exemplary embodiment, the measuring device 130 may be configured to calibrate the coordinate data CD based on the position of the measuring device 130. More specifically, the measuring device 130 may be configured to calibrate the coordinate data CD based on the offset length OD, such that the coordinates of the coordinate data CD can be correlated with the measured values ​​of the measurement data.

[0067] The measuring device 130 can collect measurement data of the portion of the electrode sheet ES that corresponds to (e.g., overlaps with) the sensing portion 131, and the coordinate data CD can be collected by a second encoder 123 spaced apart from the sensing portion 131, as described above. Therefore, the portion of the electrode sheet ES corresponding to the coordinate data CD and the portion of the electrode sheet ES corresponding to the measurement data collected at the same time point can be different from each other.

[0068] According to an exemplary embodiment, coordinate-related measurement data (CMD) can be provided by calibrating coordinate data (CD) collected at the same time point as the measurement data based on the offset length (OD) and associating the calibrated coordinate data (CD) with the measurement data. The coordinate-related measurement data (CMD) can include the measured value, the time value matching the measured value, the start coordinate, and the end coordinate. The time value can be a timestamp indicating the date and time of measurement data collection. The start coordinate and end coordinate can indicate the start and end points of the portion of the electrode sheet ES for which measurement data is collected. The start and end coordinates can be determined based on the calibrated coordinate data (CD). The coordinate-related measurement data (CMD) can include a measurement device ID identifying the measurement device 130 and a device ID identifying the secondary battery manufacturing equipment 100.

[0069] The starting coordinate of segment S1 is X1, and its ending coordinate is X2. The starting coordinate of segment S2 is X2, and its ending coordinate is X3. The starting coordinate of segment S3 is X3, and its ending coordinate is X4. The starting coordinate of segment S4 is X4, and its ending coordinate is X5. The starting coordinate of segment S5 is X5, and its ending coordinate is X6. The starting coordinate of segment S6 is X6, and its ending coordinate is X7.

[0070] In another embodiment, the sensing unit 131 can be directly connected to a position measuring device such as a first encoder 121 and a second encoder 123, or configured to sense a reference point on the electrode sheet ES. In this case, the processor 133 can be configured to collect coordinate correlation measurement data (CMD) based on the measurement signal MS transmitted from the sensing unit 131.

[0071] Multiple guide rollers may be inserted between the sensing section 131 and the rewinder 113 to define the movement path of the electrode sheet ES. Therefore, the offset length OD can be defined as the length of the electrode sheet ES between the rewinder 113 and the portion of the electrode sheet ES detected by the sensing section 131. The offset length OD can be equal to or greater than the linear distance between the sensing section 131 and the rewinder 113.

[0072] Processor 133 can be configured to generate compressed measurement data PMD based on measurement data and coordinate data CD. The compressed measurement data PMD may include representative values ​​and judgment values ​​of the measurement data for each of the multiple segments S1, S2, S3, S4, S5, and S6 of the electrode sheet ES, as well as the start and end coordinates of each of the multiple segments S1, S2, S3, S4, S5, and S6 of the electrode sheet ES. The compressed measurement data PMD may also include a timestamp indicating the date and time of collection of the measurement data for each of the multiple segments S1, S2, S3, S4, S5, and S6, a measurement device ID, and a device ID.

[0073] The processor 133 can be configured to calculate a representative value of the measurement data for each of the multiple segments S1, S2, S3, S4, S5, and S6 of the electrode sheet ES. The representative value of the measurement data for each of the multiple segments S1, S2, S3, S4, S5, and S6 of the electrode sheet ES may include at least one of the mean, standard deviation, median, maximum, and minimum values ​​of the measurement data for each of the multiple segments S1, S2, S3, S4, S5, and S6.

[0074] For example, when the coordinate correlated measurement data (CMD) includes 1,500 measured values ​​corresponding to one of the scans performed by the sensing unit 131, the compressed measurement data (PMD) may include a single representative value calculated based on the 1,500 measured values. Therefore, the size of the compressed measurement data (PMD) can differ from the size of the coordinate correlated measurement data (CMD). The size of the compressed measurement data (PMD) can also be smaller than the size of the coordinate correlated measurement data (CMD).

[0075] In addition to generating volume diagrams, the server 220, described below, also performs various tasks for managing the production of secondary batteries. According to an exemplary embodiment, the server 220 can generate volume diagrams based on compressed measurement data (PMD) instead of coordinate correlated measurement data (CMD) of substantially the same size as the original measurement data, thereby reducing the resources that the server 220 needs to allocate for generating and storing volume diagrams. Therefore, continuous manufacturing management can be provided from the server 220, and the reliability of secondary battery manufacturing can be improved.

[0076] The starting and ending coordinates of each of the multiple segments S1, S2, S3, S4, S5, and S6 of the electrode sheet ES can be determined based on the coordinate data CD of each segment S1, S2, S3, S4, S5, and S6. The starting and ending coordinates of the compressed measurement data PMD are basically the same as the starting and ending coordinates of the corresponding coordinate-related measurement data CMD.

[0077] exist Figure 2In the electrode sheet ES, each of the multiple segments S1, S2, S3, S4, S5 and S6 may not correspond to one of the scans performed by the sensing part 131, but may correspond to multiple scans performed by the sensing part 131 or a part of the scan performed by the sensing part 131.

[0078] By processing measurement data using a defined method, judgment values ​​for multiple sections S1, S2, S3, S4, S5, and S6 of the electrode sheet ES can be determined. When the amount of coating material measured on the electrode sheet ES (e.g., the amount loaded on the electrode sheet ES or the thickness of the electrode sheet ES) is within a defined range including upper and lower limits, the corresponding portion of the electrode sheet ES can be determined as a good quality portion. When the amount of coating material measured on the electrode sheet ES (e.g., the amount loaded on the electrode sheet ES or the thickness of the electrode sheet ES) is less than the lower limit or greater than the upper limit, the corresponding portion of the electrode sheet ES can be determined as defective.

[0079] As another embodiment, the measured value (or representative value) within the first range can be determined as normal, the measured value (or representative value) within the second range greater than the first range can be determined as excessive, the measured value (or representative value) within the third range greater than the second range can be determined as very excessive, the measured value (or representative value) within the fourth range less than the first range can be determined as insufficient, and the measured value (or representative value) within the fifth range less than the fourth range can be determined as very insufficient.

[0080] Here, the second range is greater than the first range when the lower limit of the second range is greater than or equal to the upper limit of the first range. Similarly, the fourth range is less than the first range when the upper limit of the fourth range is less than or equal to the lower limit of the first range.

[0081] Processor 133 can be configured to transmit compressed measurement data PMD to the first controller 141. Processor 133 can also be configured to transmit coordinate-dependent measurement data CMD to the roll plot generator 200 (more specifically, the server 230 of the roll plot generator 200). The coordinate-dependent measurement data CMD can be transmitted to the server 230 via server 210, but the implementation is not limited thereto. The coordinate-dependent measurement data CMD can also be transmitted directly from processor 133 to server 230.

[0082] The first controller 141 can be configured to transmit compressed measurement data PMD to the second controller 143. The second controller 143 can be configured to transmit the compressed measurement data PMD to the roll plot generator 200. However, the implementation is not limited to this, and the first controller 141 can directly transmit the compressed measurement data PMD to the roll plot generator 200.

[0083] The second controller 143 can be configured to control the operation of the unwinder 111, the rewinder 113, and the processing mechanism 115. The second controller 143 can be configured to generate signals for operating or stopping the unwinder 111, the rewinder 113, and the processing mechanism 115. These signals can be generated based on electrode specification data (ESD), compression measurement data (PMD), additional check signals, and additional measurement signals.

[0084] Volume diagram generator 200 may include servers 210, 220, 230, 240, and 250. Servers 210, 220, 230, 240, and 250 may be separate entities performing various functions, including generating volume diagrams and intermediate volume diagrams, storing volume diagrams and intermediate volume diagrams, or relaying communication between servers 210, 220, 230, 240, and 250. Figure 1 As shown, some of servers 210, 220, 230, 240, and 250 can be integrated. For example, servers 220 and 230 can be integrated, servers 220 and 240 can be integrated, or servers 220, 240, and 250 can be integrated.

[0085] The roll plot generator 200 can be configured to generate roll plots that include data related to the electrode sheet ES. The roll plot can represent the electrode sheet ES based on coordinates indicating its location on the electrode sheet ES. As described above, secondary battery manufacturing processes can be performed on the electrode sheet ES. The roll plot can indicate the history of processes performed on the electrode sheet ES and includes coordinate-related data. Therefore, the roll plot enables feedback, feedforward, and tracking of the secondary battery manufacturing process, as described below.

[0086] A roll-to-roll diagram can include event data indicating events in the roll-to-roll process of the electrode sheet ES. Typically, event data is generated according to the process progress and is therefore time-series data. Thus, data for process events can include values ​​indicating the events and their corresponding time values. Time-series data can be sorted by time. Sorting by time is a key characteristic of time-series data and should be understood as organizing events in the order they occur and arrive, and are processed. That is, time-series data can be stored based on the point in time when an event occurs (i.e., when inspection and measurement are performed or when a process action is executed), and events can be matched with time values.

[0087] The manufacturing of secondary batteries involves a series of different processes, with each preceding process influencing subsequent ones. Hereinafter, feedforward should be understood as correcting subsequent processes based on data generated from the results of preceding processes. In this context, it is difficult to reflect the time-series data of preceding processes in subsequent processes when the time-series data of preceding processes does not directly match the actual workpiece, intermediate products, and finished products. Here, the workpiece is the article of manufacture provided as the result of each process, such as those on which coating, rolling, and slitting processes are performed. Figure 1 The electrode sheet ES. The intermediate product can be one of an electrode, a separator cut by a grooving process, and its components. The intermediate product can be a structure including a housing and an electrode assembly included within the housing (in some cases, the structure also includes an electrolyte). The product is an article of manufacture operable as a secondary battery through an activation process. The above definitions of workpiece, intermediate product, and product are only in one aspect and should not be construed as excluding their general definitions.

[0088] For feedforward, time-series data should be correlated with the actual positions of workpieces, components, intermediate products, and finished products. In roll plots, time-series data such as measurement data can be correlated with coordinate data CD based on the amount of movement of the electrode sheet ES (i.e., winding or unwinding). Roll plots allow time-series data to be linked with coordinate data, which includes the coordinates of the actual positions of workpieces, components, intermediate products, and finished products. Therefore, roll plot generation and roll plot-based feedforward can improve production efficiency and quality by digitizing and objectifying various aspects of the process that depend on operator judgment.

[0089] Roll patterns can be generated in batches. Electrode sheets ES can be wound into a second electrode roll ER2, and after reaching the target winding amount, the second electrode roll ER2 can be cut and separated from the electrode sheet ES connected to the first electrode roll ER1. A batch is a production unit in the roll-to-roll process, and the second electrode roll ER2 separated from the electrode sheet ES is an example of a batch. Therefore, server 220 can be configured to store roll patterns from previous processes. The roll patterns from previous processes can correspond to the first electrode roll ER1. Furthermore, server 220 can be configured to generate and store roll patterns for the current process. The roll patterns for the current process can correspond to the second electrode roll ER2.

[0090] Roll plots from previous batches can be used to improve the process for subsequent batches, and this process can be called process feedback. Process feedback using roll plots can include identifying process conditions and parameters that cause problems and defects based on the data included in the roll plots.

[0091] Furthermore, as described below, roll maps can be cumulatively generated for workpieces, intermediate products, and finished products within a single process to track the manufacturing history of products on the market (e.g., battery cells, battery modules, or battery packs). For example, a battery cell may include a cell identifier (ID) on the electrode assembly or casing. The cell ID may include batch numbers and coordinate information of the electrodes and separators included in the battery cell. In other words, the cell ID can be associated with roll maps of the electrodes and separators included in the battery cell. Therefore, when events such as quality problems occur in battery cells on the market, the history of collective manufacturing data for the battery cell can be retrieved based on the cell ID.

[0092] Compressed measurement data (PMD) can be transmitted from server 210 to server 220. Server 210 can be a communication server. Server 210 can be, for example, a server for communication based on log data, but is not limited thereto. Server 210 can be a program for communication between the second controller 143 of the manufacturing equipment and server 220 for manufacturing management. Server 210 can be implemented by hardware as described below. The language and protocol of server 220 can be different from the language and protocol of the second controller 143. For example, the language of server 220 can be SQL, and the language of the second controller 143 can be ladder logic.

[0093] Server 210 can be configured to convert Electrode Specification Data (ESD) transmitted from server 220 into the language of the second controller 143. Additionally, server 210 can be configured to convert Compressed Measurement Data (PMD) into the language of server 220 and record the Compressed Measurement Data (PMD) in server 220's database.

[0094] Electrode specification data (ESD) can include model information and formulation of the electrode sheet (ES). ESD can include all matters related to the processing of the electrode sheet (ES), such as process conditions (including the number of batches to be processed in the current process, the number of coating strips to be formed on the electrode sheet (ES), temperature, humidity, pressure, etc.) and process parameters (including the moving speed of the electrode sheet (ES), the discharge rate of the coating die, the pressure of the pressure roller, etc.).

[0095] To control the process, a communication line can be installed between the second controller 143 and the server 220, connecting the second controller 143 and the server 220 via the server 210. Therefore, compared to the cases where the first encoder 121, the second encoder 123, and the measuring device 130 directly transmit the unwinding amount signal UWAS, the winding amount signal WAS, and the measurement signal MS to the first server 220, and where the first controller 141 directly transmits the compressed measurement data PMD to the server 220, data transmission via the second controller 143 reduces the resources required for installing a communication line and ensures effective data processing and management.

[0096] Server 220 can be configured to generate roll diagrams. Roll diagrams can include data regarding batch specifications. Batch specifications can include, for example, batch number, length of the wound electrode sheet ES, width of the electrode sheet ES, and the material and composition used to process the electrode sheet ES.

[0097] According to an exemplary embodiment, server 220 may be a data processing system that supports all activities required for the manufacturing of secondary batteries, such as job scheduling management, work instructions, quality control, and job performance aggregation. Server 220 may be, for example, a manufacturing execution system (MES). Server 220 may be configured to input, process, output, and communicate the data required for electrode manufacturing processes (including coating processes, rolling processes, and slitting processes).

[0098] Server 230 can be configured to store coordinate-dependent measurement data (CMD). Server 230 can be configured to transmit the coordinate-dependent measurement data CMD to server 240 in response to an API request AR from server 240. The API request AR may include information for identifying the coordinate-dependent measurement data CMD. The API request AR may include, for example, a timestamp, start coordinates, and end coordinates.

[0099] More specifically, a second request R2 to load an intermediate volume view from user device 300 can be transmitted to server 240. The second request R2 can be generated by inputting search parameters for generating the API request AR. The search parameters may include coordinates of coordinate-related measurement data CMD (e.g., Figure 3 The equipment code of the secondary battery manufacturing equipment 100 that collects measurement data MED (X1 to X7), the date and time of collecting measurement data MED, and the measurement items.

[0100] The equipment code may include information for identifying the secondary battery manufacturing equipment 100, such as the type of equipment and its installation location. The date and time may be in the form of a timestamp. Measurement items represent physical quantities of the electrode sheet ES, as expressed by the measurement data MED, such as load and thickness.

[0101] Server 240 can be configured to generate API request AR in response to second request R2. Server 240 can be configured to receive coordinate-dependent measurement data CMD from server 230. Server 240 can store roll plot data D1. Server 240 can be configured to connect roll plot data D1 with coordinate-dependent measurement data CMD. Server 240 can be configured to transmit intermediate roll plot data D2, including roll plot data D1 and coordinate-dependent measurement data CMD, to user device 300.

[0102] Using the intermediate roll plot data D2, in addition to displaying the visualization roll plot VRM, the user device 300 can also access the coordinate-related measurement data CMD, which includes the raw measurement data, in the user interface (UI) of the visualization roll plot VRM.

[0103] Server 240 can also be configured to store and process inspection data of electrode sheets ES. Server 240 can manage the quality of processed electrode sheets ES by continuously monitoring the processing of electrode sheets ES based on inspection data. According to an exemplary embodiment, server 240 can be a static process controller (SPC). Server 240 can collect and analyze manufacturing data in near real-time to identify problematic conditions in a timely manner and notify operators before potential problems occur.

[0104] Server 250 can be configured to store data from servers 220, 230, and 240. Server 250 can be configured to store coordinate-dependent measurement data (CMD) and compressed measurement data (PMD). When server 220 is a MES and server 240 is an SPC, servers 220 and 240 may not be suitable for long-term storage of CMD and PMD. Server 250 can be, for example, a data warehouse, and can store CMD and PMD for extended periods based on factors such as the product's quality assurance cycle. Therefore, the manufacturing process of a product can be tracked according to its lifecycle.

[0105] Processors 133 and servers 210, 220, 230, 240, and 250 may be implemented by hardware, firmware, software, or a combination thereof. For example, processors 133 and servers 210, 220, 230, 240, and 250 may include computing devices such as workstation computers, desktop computers, laptop computers, and tablet computers. Processors 133 and servers 210, 220, 230, 240, and 250 may include simple controllers, complex processors such as microprocessors, CPUs, or GPUs, or processors configured by software / dedicated hardware and firmware. Processors 133 and servers 210, 220, 230, 240, and 250 may be implemented, for example, by general-purpose computers or dedicated hardware such as digital signal processors (DSPs), field-programmable gate arrays (FPGAs), or application-specific integrated circuits (ASICs).

[0106] In addition to the roll chart, server 220 also stores and processes a large amount of data related to general manufacturing management. Therefore, the roll chart stored in server 220 may include simplified compressed measurement data (PMD) instead of coordinate-dependent measurement data (CMD) (including raw measurement data). Server 220 can provide the roll chart in response to a request from user device 300. User device 300 can display a visualization of the roll chart (VRM), such as... Figure 3 As shown in the image.

[0107] User device 300 may be a device for communicating with volume diagram generator 200, such as a mobile device, like a workstation computer, laptop computer, desktop computer, tablet PC, smartphone, or wearable device. User device 300 may be configured to generate a request R1 for loading a volume diagram or a request R2 for loading an intermediate volume diagram. User device 300 may be configured to transmit requests R1 and R2 to volume diagram generator 200. User device 300 may include input tools for inputting requests R1 and R2 and a display device for displaying a visualization of the volume diagram VRM.

[0108] The visualization roll-up (VRM) can include multiple visualization segments VS1, VS2, VS3, VS4, VS5, and VS6 corresponding to multiple segments S1, S2, S3, S4, S5, and S6 of the electrode sheet ES. Each of the multiple visualization segments VS1, VS2, VS3, VS4, VS5, and VS6 can include start coordinates, end coordinates, and color.

[0109] The starting coordinate of visualization segment VS1 can be X1, and its ending coordinate can be X2. The starting coordinate of visualization segment VS2 can be X2, and its ending coordinate can be X3. The starting coordinate of visualization segment VS3 can be X3, and its ending coordinate can be X4. The starting coordinate of visualization segment VS4 can be X4, and its ending coordinate can be X5. The starting coordinate of visualization segment VS5 can be X5, and its ending coordinate can be X6. The starting coordinate of visualization segment VS6 can be X6, and its ending coordinate can be X7.

[0110] The representative values ​​of the coordinate related measurement data CMD for visualization segments VS1, VS2, VS4 and VS6 can be displayed in color C1; the representative values ​​of the coordinate related measurement data CMD for visualization segment VS3 can be displayed in color C2; and the representative values ​​of the coordinate related measurement data CMD for visualization segment VS5 can be displayed in color C3.

[0111] Color C1 indicates that the representative values ​​of visualization segments VS1, VS2, VS4, and VS6 are normal; color C2 indicates that the representative value of visualization segment VS3 is excessive; and color C3 indicates that the representative value of visualization segment VS3 is very excessive. Color C4 indicates that the representative value is insufficient; and color C5 indicates that the representative value is very insufficient.

[0112] Here, for ease of description, a visualization rollout (VRM) showing only one type of coordinate-dependent measurement data (CMD) is presented. However, the rollout can also include supplementary data, such as inspection data generated by the inspector, equipment data, and process parameter data. Such supplementary data can be coordinate-dependent, and the way the supplementary data is coordinate-dependent can differ from the way it is correlated with the coordinate-dependent measurement data (CMD). For example, pinhole defect data as a piece of inspection data can be matched with a single coordinate representing the location of the pinhole, rather than start and end coordinates.

[0113] Intermediate roll plots can be provided by associating coordinate-dependent measurement data (CMD) including raw measurement data with roll plots. Based on timestamps and coordinates, CMD can be associated with roll plots. In addition to roll plots providing information about defects and defect-based production performance, intermediate roll plots can also provide information about raw measurement data for statistical production management. Therefore, intermediate roll plots can provide additional insights into workpiece quality, process performance, overall equipment effectiveness (OEE) mining, anomaly detection, traceability, preventative maintenance, and predictive alerts.

[0114] Servers 210, 220, 230, 240, and 250 may include physical servers or cloud servers. Servers 210, 220, 230, 240, and 250 can provide data and analysis results to operators using various frameworks. These frameworks may include protocols supporting data transmission to provide updated visualizations as user device 300 visualizes data via a user interface and as servers 220 and 230 compute new data. Protocols supporting data transmission may include HTML, JavaScript, and / or JSON.

[0115] Servers 210, 220, 230, 240, and 250 may include various application programming interfaces (APIs) and other data management tools for storing data in databases. APIs can also be used to retrieve data from databases of various data management systems. Data management systems can provide access to databases, extract or retrieve data from them, and generate metrics. Here, metrics are tools for visualizing data. Metrics may include measured values ​​generated in a time-series format and can be used to monitor applications and generate status alerts.

[0116] According to some implementations, the operation of processor 133 and servers 210, 220, 230, 240, and 250 can be implemented as instructions stored in a machine-readable medium that can be read and executed by one or more processors. Here, the machine-readable medium can include any mechanism for storing and / or transmitting information in a machine-readable (e.g., computing device) form. Embodiments of the machine-readable medium can include read-only memory (ROM), random access memory (RAM), disk storage media, optical storage media, flash memory, electrical, optical, acoustic, or other types of radio signals (e.g., carrier waves, infrared signals, digital signals, etc.) and other signals.

[0117] Processor 133 and servers 210, 220, 230, 240 and 250 may include firmware, software, routines and instructions for performing the operations described above or the processes described below. For example, processor 133 and servers 210, 220, 230, 240 and 250 may be instantiated in memory.

[0118] However, the above description of processor 133 and servers 210, 220, 230, 240 and 250 is merely an embodiment provided for ease of description, and the above-described operation of processor 133 and servers 210, 220, 230, 240 and 250 can be operated by computing device, distributed computing device, processor or other types of means for executing firmware, software, routines and instructions.

[0119] The secondary battery manufacturing system 10 can implement a plug-in architecture with APIs to acquire data and provide plug-and-play connectivity between the measuring device 130 and additional measuring devices and inspectors. Therefore, resources in specific process steps and at specific sites can be easily transferred to different processes, and different sites or new resources can be easily introduced into each process step and each site.

[0120] The data network between components of the secondary battery manufacturing system 10 may include various types of communication channels, including one-way and two-way wired and wireless communications. For example, the data network may include industrial protocol networks such as OPC, Modbus, or ProfiNet. Communication channels may be dedicated pipe communications such as Universal Serial Bus (USB), IEEE 802 (Ethernet), IEEE 1394 (FireWire), or other high-speed data communication standards.

[0121] In some implementations, the roll pattern generator 200 may also include a manual input system that allows an operator to input manufacturing data. The roll pattern generator 200 may allow an operator to input data using input tools and computer-based input of manufacturing data (such as Excel file capture).

[0122] The architecture configured to generate volume diagrams and intermediate volume diagrams can be implemented by simply adding the first controller 141 as a basic element to a modern process management system. That is, the system according to the exemplary embodiment can utilize the resources of an existing manufacturing facility and reduce additional capital expenditure. Furthermore, applying the same architecture as existing manufacturing equipment to newly constructed manufacturing equipment enables improved manufacturing reliability of secondary batteries, detection / improvement of problematic processes, and efficient introduction of new processes.

[0123] (Second Implementation)

[0124] Figure 4 This is a flowchart of a roll map generation method according to an exemplary embodiment.

[0125] refer to Figure 1 and Figure 4 On page P110, search parameters can be entered. As described above, search parameters may include the start and end coordinates of the coordinate-related measurement data (CMD), the device code of the secondary battery manufacturing equipment 100, the date and time of data collection, and the measurement items. Search parameters can be entered by the user device 300.

[0126] Next, in P120, an API request AR for server 230 can be generated. The API request AR for server 230 can be generated based on search parameters. The API request AR can be generated by server 240 and transmitted to server 230.

[0127] Next, in P130, the coordinate-related measurement data (CMD) can be transferred to an external source. Here, the external source is defined as server 240, which is configured to store the coordinate-related measurement data (CMD). The coordinate-related measurement data (CMD) can be transferred from server 230 to server 240 or from server 230 to user device 300. User device 300 can access data D2, including the intermediate rollup containing the coordinate-related measurement data (CMD), via the UI of server 240.

[0128] (Third Implementation)

[0129] Figure 5 A secondary battery manufacturing system 11 according to an exemplary embodiment is shown.

[0130] refer to Figure 5 The secondary battery manufacturing system 11 may include secondary battery manufacturing equipment 101, a roll pattern generator 200, and a user device 300.

[0131] The scroll image generator 200 and the user device 300 are referenced above. Figures 1 to 3 The descriptions are essentially the same, so redundant descriptions are omitted here.

[0132] The secondary battery manufacturing equipment 101 may include a dewinder 111, a rewinder 113, a processing mechanism 115, a first encoder 121, a second encoder 123, a measuring device 130, and a controller 140.

[0133] Controller 140 can be configured to perform Figure 1 The functions of the first controller 141 and the second controller 143 are described. Therefore, controller 140 can be configured to generate coordinate data CD based on the unwinding amount signal UWAS or the winding amount signal WAS, transmit the coordinate data CD to the processor 133 of the measuring device 130, receive coordinate-related measurement data CMD and compressed measurement data PMD from the processor 133, and transmit the coordinate-related measurement data CMD and compressed measurement data PMD to the first server 220 via server 210. Controller 140 can be configured to generate signals for controlling the unwinder 111, the rewinder 113, and the processing mechanism 115.

[0134] (Fourth Implementation)

[0135] Figure 6 A secondary battery manufacturing system 12 according to an exemplary embodiment is shown.

[0136] refer to Figure 6 The secondary battery manufacturing system 12 may include secondary battery manufacturing equipment 100, server 201 and user device 300.

[0137] Secondary battery manufacturing equipment 100 and user equipment 300 are referenced above. Figures 1 to 3 The descriptions are essentially the same, so their redundant descriptions are omitted here.

[0138] Server 201 can be configured to perform Figure 1 The functions of servers 210, 220, 230, 240, and 250. Therefore, server 201 can be configured to receive coordinate-related measurement data CMD and compressed measurement data PMD, generate roll plots and intermediate roll plots, and transmit the roll plot data D1 and the intermediate roll plot data D2 to user device 300.

[0139] The present invention has been described in more detail above with reference to the accompanying drawings and embodiments. However, the configurations shown in the drawings or the embodiments described in this specification are merely embodiments of the present invention and do not reflect all the technical ideas of the present invention. Therefore, it should be understood that various equivalent examples and variations of alternative configurations will be made as of the date of filing of this application.

Claims

1. A method for generating an intermediate volume diagram, the method comprising: Input search parameters for coordinate-related measurement data, which is based on the measurement collection of the electrode sheet and includes raw measurement data; as well as The coordinate-related measurement data is transmitted based on the search parameters. The search parameters include the starting and ending coordinates of the part of the electrode sheet from which the coordinate-related measurement data is collected.

2. The method according to claim 1, wherein, The search parameters include the equipment code used to identify the secondary battery manufacturing equipment used to process the electrode sheet.

3. The method according to claim 1, wherein, The search parameters include the date and time of collection of the coordinate-related measurement data.

4. The method according to claim 3, wherein, The collection date and time are in the form of timestamps.

5. The method according to claim 1, wherein, The search parameters include the measurement items of the coordinate-related measurement data.

6. The method according to claim 1, further comprising: Based on the search parameters, an application programming interface (API) call is transmitted to a server configured to store the coordinate-related measurement data.

7. A secondary battery manufacturing system, the secondary battery manufacturing system comprising: A first controller is configured to collect coordinate data of an electrode sheet based on a winding amount signal of the electrode sheet generated by an encoder, wherein the encoder is configured to sense the length of the electrode sheet wound by a rewinder to generate the winding amount signal, and the coordinate data includes coordinates indicating the position on the electrode sheet. A measuring device configured to associate the coordinate data with measurement data of the electrode sheet to generate coordinate-related measurement data including the measurement data; and A server configured to store the coordinate-related measurement data and transmit the coordinate-related measurement data to an external source in response to an application programming interface (API) call.

8. The secondary battery manufacturing system according to claim 7, wherein, The API call is generated based on search parameters, and The search parameters include the starting and ending coordinates of the part of the electrode sheet from which the coordinate-related measurement data is collected.

9. The secondary battery manufacturing system according to claim 8, wherein, The search parameters include the equipment code used to identify the secondary battery manufacturing equipment used to process the electrode sheet.

10. The secondary battery manufacturing system according to claim 8, wherein, The search parameters include the date and time of collection of the coordinate-related measurement data.

11. The secondary battery manufacturing system according to claim 10, wherein, The collection date and time are in the form of timestamps.

12. The secondary battery manufacturing system according to claim 8, wherein, The search parameters include the measurement items of the coordinate-related measurement data.

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