Secondary battery manufacturing system and secondary battery manufacturing method

Abstract

According to an exemplary embodiment, a secondary battery manufacturing method is provided. The method comprises the following steps: loading coordinate-related original inspection data and coordinate-related inspection data of an electrode sheet, the coordinate-related original inspection data comprising an image of a portion of the electrode sheet and coordinates of the portion of the electrode sheet, and the coordinate-related inspection data includes determination of surface defects of the portion of the electrode sheet and coordinates of the portion of the electrode sheet; and monitoring a match between the coordinate-related inspection data and the coordinate-related raw inspection data.

Description

Technical Field

[0001] The present invention relates to a secondary battery manufacturing system and a secondary battery manufacturing method. This application claims the benefit of priority based on Korean Patent Application No. 10-2023-0133139, filed on October 6, 2023, and the entire contents of the Korean Patent Application are incorporated herein by reference. Background Art

[0002] Unlike primary batteries, secondary batteries can be charged and discharged multiple times. Secondary batteries have been widely used as energy sources for various types of wireless devices (such as handheld devices, laptop computers and cordless vacuum cleaners). Recently, the main use of secondary batteries has evolved from mobile devices to mobile travel. This is because the manufacturing cost per unit capacity of secondary batteries has been significantly reduced due to improved energy density and economies of scale, and the cruising range of battery electric vehicles (BEVs) has been improved to a level comparable to that of fuel vehicles.

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

[0004] Technical issues

[0005] The present invention is directed to providing a secondary battery manufacturing system and a secondary battery manufacturing method with improved traceability.

[0006] Technical Solution

[0007] An example embodiment of the present invention provides a secondary battery manufacturing method. The secondary battery manufacturing method includes: loading coordinate-related inspection data and coordinate-related raw inspection data of an electrode sheet, wherein the coordinate-related raw inspection data includes an image and coordinates of a portion of the electrode sheet, and the coordinate-related inspection data includes a determination of whether the portion of the electrode sheet includes a surface defect and the coordinates of the portion of the electrode sheet; and monitoring a match between the coordinate-related inspection data and the coordinate-related raw inspection data.

[0008] Monitoring a match between the coordinate-related inspection data and the coordinate-related raw inspection data may include comparing coordinates of the portion of the electrode sheet of the coordinate-related raw inspection data with coordinates of the portion of the electrode sheet of the coordinate-related inspection data.

[0009] The step of monitoring the matching between the coordinate-related inspection data and the coordinate-related original inspection data may include: when the difference between the coordinates of the portion of the electrode sheet of the coordinate-related original inspection data and the coordinates of the portion of the electrode sheet of the coordinate-related inspection data is within an allowable error range, determining that the matching between the coordinate-related original inspection data and the coordinate-related inspection data is normal.

[0010] Each of the coordinate-related raw inspection data and the coordinate-related inspection data may include an inspector identifier (ID), the inspector ID indicating an inspector configured to inspect the portion of the electrode sheet, and the step of monitoring the match between the coordinate-related inspection data and the coordinate-related raw inspection data may include comparing the inspector ID of the coordinate-related raw inspection data with the inspector ID of the coordinate-related inspection data.

[0011] Each of the coordinate-related raw inspection data and the coordinate-related inspection data may include a defect sequence number indicating a sequence of defects in the electrode sheet, and monitoring a match between the coordinate-related inspection data and the coordinate-related raw inspection data may include comparing the defect sequence number of the coordinate-related raw inspection data with the defect sequence number of the coordinate-related inspection data.

[0012] The defect serial number may be different for each of the inspectors.

[0013] Monitoring of a match between the coordinate-related inspection data and the coordinate-related raw inspection data may be triggered by loading the coordinate-related inspection data and the coordinate-related raw inspection data.

[0014] An example embodiment provides a secondary battery manufacturing system. The server is configured to load coordinate-related inspection data and coordinate-related raw inspection data of an electrode sheet, and monitor a match between the coordinate-related inspection data and the coordinate-related raw inspection data, wherein the coordinate-related raw inspection data includes an image and coordinates of a portion of the electrode sheet, and the coordinate-related inspection data includes a determination of whether the portion of the electrode sheet has a surface defect and the coordinates of the portion of the electrode sheet.

[0015] Monitoring a match between the coordinate-related inspection data and the coordinate-related raw inspection data may include comparing coordinates of the portion of the electrode sheet of the coordinate-related raw inspection data with coordinates of the portion of the electrode sheet of the coordinate-related raw inspection data.

[0016] Monitoring the match between the coordinate-related inspection data and the coordinate-related original inspection data may include: when the difference between the coordinates of the portion of the electrode sheet of the coordinate-related original inspection data and the coordinates of the portion of the electrode sheet of the coordinate-related inspection data is within an allowable error range, determining that the match between the coordinate-related original inspection data and the coordinate-related inspection data is normal.

[0017] Each of the coordinate-related raw inspection data and the coordinate-related inspection data may include an inspector ID indicating an inspector configured to inspect the portion of the electrode sheet, and monitoring a match between the coordinate-related inspection data and the coordinate-related raw inspection data may include comparing the inspector ID of the coordinate-related raw inspection data with the inspector ID of the coordinate-related inspection data.

[0018] Each of the coordinate-related raw inspection data and the coordinate-related inspection data may include a defect serial number indicating a defect sequence in the electrode sheet, and monitoring the match between the coordinate-related inspection data and the coordinate-related raw inspection data may include comparing the defect serial number of the coordinate-related raw inspection data with the defect serial number of the coordinate-related inspection data.

[0019] Monitoring of a match between the coordinate-related inspection data and the coordinate-related raw inspection data may be triggered by loading the coordinate-related inspection data and the coordinate-related raw inspection data.

[0020] Beneficial effects

[0021] According to an exemplary embodiment of the present invention, a match between a judgment value of inspection data and original inspection data can be automatically monitored, thereby improving reliability and productivity of manufacturing of secondary batteries.

[0022] The effects that can be achieved from the exemplary embodiments of the present invention are not limited to the effects described above, and other effects not described herein will be clearly derived and understood from the following description by those skilled in the art 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 unexpected effects that can be achieved when implementing the exemplary embodiments of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 A secondary battery manufacturing system according to example embodiments is shown.

[0024] Figure 2 is a flowchart of a secondary battery manufacturing method according to example embodiments.

[0025] Figure 3 The screen on the display device of the client device is shown.

[0026] Figure 4 A secondary battery manufacturing system according to other example embodiments is shown. DETAILED DESCRIPTION

[0027] Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. Before describing the embodiments of the present invention, the terms or expressions used in this specification and claims should not be interpreted as limited to those generally understood or defined in commonly used dictionaries, and should be understood according to the meaning and concept corresponding to the present invention based on the inventors of this application who can appropriately define the terms or expressions to best explain the principles of the present invention.

[0028] Therefore, the embodiments described herein and the configurations shown in the accompanying drawings are merely examples of the present invention and do not reflect all technical concepts of the present invention. Therefore, it should be understood that various equivalent examples and modifications of alternative configurations will be made on the filing date of this application.

[0029] When it is determined that well-known configurations or functions related to describing the present invention would obscure the subject matter of the present invention due to unnecessary detail, they will not be described in detail.

[0030] Since the embodiments of the present invention are provided to more fully explain the present invention to those skilled in the art, the shapes, sizes, etc. of components shown in the drawings may be exaggerated, omitted, or schematically illustrated for the sake of clarity. Therefore, it should not be understood that the sizes or ratios of the components completely reflect their actual sizes or ratios.

[0031] (First embodiment)

[0032] Figure 1 A secondary battery manufacturing system 10 according to an example embodiment is shown.

[0033] refer to Figure 1 , the secondary battery manufacturing system 10 may include a secondary battery manufacturing apparatus 100 , a roll map generator 200 , and a client device 300 .

[0034] The secondary battery manufacturing apparatus 100 may be configured to perform a secondary battery manufacturing process and may include an unwinder 111 , a rewinder 113 , a processing device 115 , a first encoder 121 , a second encoder 123 , an inspector 130 , a processor 135 , a first controller 141 , and a second controller 143 .

[0035] The unwinder 111 may be configured to unwind the electrode sheet ES from the first electrode roll ER1 . The rewinder 113 may be configured to rewind the electrode sheet ES into a second electrode roll ER2 . Therefore, the electrode sheet ES may be moved between the unwinder 111 and the rewinder 113 .

[0036] A process for manufacturing a secondary battery (eg, an electrode process) may be performed on the electrode sheet ES. Performing the electrode process on the electrode sheet ES unwound from the first electrode roll ER1 and wound into the second electrode roll ER2 may be referred to as a roll-to-roll process.

[0037] The electrode sheet ES may be processed by the processing device 115. For example, the processing device 115 may include a coater, and the electrode sheet ES may be coated with an electrode slurry. As another embodiment, the processing device 115 may include a pressing roller, and a rolling process may be performed on the electrode sheet ES coated with the electrode slurry. As another embodiment, the processing device 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 device 115 may include a slitting knife, and the electrode sheet ES may be divided into a plurality of electrode sheets.

[0038] The coating process is a process of applying a coating material such as an electrode slurry to the electrode sheet ES. The electrode slurry may include an electrode active material, a conductive agent, a binder, and a solvent. The electrode slurry may be provided by dissolving the electrode active material, the conductive additive, the binder, etc. in a solvent.

[0039] The rolling process is a process in which the electrode sheet ES coated with the electrode slurry passes between facing rollers. By using the rollers, the surface of the electrode can be flattened and the bonding force between the active material and the current collector can be increased.

[0040] The coating process and the rolling process are performed on the electrode sheet ES having a wide width to increase the output (eg, GWh) per production line of the secondary battery production equipment. Thereafter, in the slitting process, the electrode sheet ES having a wide width can be cut according to the specifications of the battery cell.

[0041] The first encoder 121 can be configured to sense the amount of the electrode sheet ES unwound from the first electrode roll ER1 by the unwinder 111. Therefore, the first encoder 121 can be configured to generate an unwinding amount signal UWAS indicating the unwinding amount of the electrode sheet ES. The first encoder 121 can be configured to transmit the unwinding amount signal UWAS to the first controller 141. The first controller 141 can be configured to collect input amount data based on the unwinding amount signal UWAS of the electrode sheet ES. The input amount data can represent the amount of material (i.e., the first electrode roll ER1) input into the secondary battery manufacturing apparatus 100 to manufacture the secondary battery.

[0042] The second encoder 123 can be configured to sense the amount of the electrode sheet ES wound into the second electrode reel ER2 by the rewinder 113. Therefore, the second encoder 123 can be configured to generate a winding amount signal WAS indicating the winding amount of the electrode sheet ES. The second encoder 123 can be configured to transmit the winding amount signal WAS to the first controller 141. The first controller 141 can be configured to collect consumption data based on the winding amount signal WAS of the electrode sheet ES. The consumption data can indicate the production performance of the secondary battery manufacturing equipment 100.

[0043] In some cases, a portion of the electrode sheet ES may be discarded, and thus the amount of the electrode sheet ES unwound by the unwinder 111 may be different from the amount of the electrode sheet ES wound by the rewinder 113. In addition, when the electrode sheet ES is stretched due to pressure in a subsequent process such as a rolling process, the amount of the electrode sheet ES unwound by the unwinder 111 may be different from the amount of the electrode sheet ES wound by the rewinder 113.

[0044] As a non-limiting example, 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 implement functions such as logic, sequencing, timing, counting, and arithmetic operations to control machines and processes. PLCs are easy to operate and program.

[0045] 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, the input interface, the output interface, the communication interface, and the storage device) to operate the first controller 141 and the second controller 143. The storage device may include a read-only memory (ROM) configured to store system programs (such as an operating system) and a random access memory (RAM) 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 communications between modules that convert input signals into output operation signals. The CPU may operate based on the system programs and user programs stored in the storage device. The CPU may be configured to write inspection data and measurement data to the data area of ​​the storage device or read inspection data and measurement data from the data area of ​​the storage device based on the system programs and user programs. Conditions or data of industrial devices and production processes may be transmitted to the CPU via the input module. The results of the processing performed by the CPU may be transmitted to the actuator via the output module. The communication interface may 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 .

[0046] However, the embodiment is not limited thereto, 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 a GPU), 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)).

[0047] 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 movement distance of the electrode sheet ES based on the winding amount signal WAS of the electrode sheet ES, thereby determining the position of the portion of the electrode sheet ES to be wound by the rewinder 113 on the electrode sheet ES at each point in time during the coating process. The technical concepts 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.

[0048] The coordinate data CD may include coordinates that match a portion of the electrode sheet ES. That is, any point on the electrode sheet ES may have coordinates. The coordinates may be one-dimensional (1D) quantities in the machine direction (or the longitudinal direction of the electrode sheet ES) in which the electrode sheet ES moves, but are not limited thereto. The coordinates may be two-dimensional (2D) quantities in the machine direction and the transverse direction (or the width direction of the electrode sheet ES) of the electrode sheet ES.

[0049] The inspector 130 may be configured to inspect the electrode sheet ES to collect inspection data ID. The inspector 130 may include a color sensor, an optical character reader (OCR), a barcode reader (BCR), a joint sensor, a fiducial point sensor, a vision machine, and the like.

[0050] An example of the inspection data ID is surface defect data of the electrode sheet ES. The surface defect data may include the defect type of the second electrode roll ER2, the defect serial number, and the date and time when the original inspection data RID is generated.

[0051] The defect sequence number can be updated on a batch basis. For example, the first defect in the electrode sheet ES (or the first defect in the second electrode roll ER2) is numbered 1 (or any symbol indicating the first defect), and the Nth defect is numbered N (or any symbol indicating the Nth defect). For example, after reaching the target winding length of the second electrode roll ER2, the second electrode roll ER2 can be cut and unloaded, and the remaining electrode sheets ES can be wound into a new second electrode roll ER2. The defect sequence number in the new second electrode roll ER2 can start again from 1 (or any symbol indicating the first defect).

[0052] The defect serial number may be different for each inspector. For example, the secondary battery manufacturing apparatus 100 may include one or more additional inspectors, and the defect serial number may be different for the inspector and each of the one or more additional inspectors.

[0053] Examples of surface defects may include pinhole defects, pit defects, line defects, crack defects, side ring defects, island defects, fold defects, wrinkle defects, dent defects, and scratch defects.

[0054] Another embodiment of the inspection data ID is the size data of the electrode sheet ES. The size data may include the size of the electrode sheet ES, the judgment value determined by the size of the electrode sheet ES, and the date and time when the original inspection data RID is generated to collect the size data of the electrode sheet ES. Here, the size of the electrode sheet ES may include the width of the electrode sheet ES, the width of the insulating layer on the electrode sheet ES, the overlap portion as the overlap width between the coating material (i.e., electrode slurry) and the insulating layer on the electrode sheet ES, and the mismatch indicating the misalignment between the coating tape on the lower surface of the electrode sheet ES and the coating tape on the upper surface of the electrode sheet ES.

[0055] The inspection data ID may include data of the joint of the electrode sheet ES, data of reference points indicating positions on the electrode sheet ES, data indicating a portion of the electrode sheet ES to be sampled and inspected, data of a portion of the electrode sheet ES to be discarded, and data of a discarded portion of the electrode sheet ES. Here, the reference points may be formed at regular intervals on the electrode sheet ES, and other elements on the electrode sheet ES may be positioned based on the reference points.

[0056] The inspector 130 may include a sensing unit 131 and a processor 133. The sensing unit 131 may be configured to sense the physical quantity of the electrode sheet ES to generate a measurement signal. For example, the sensing unit 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 unit 131 may include a transmitter and a receiver configured to use a non-destructive signal such as ultrasound, microwaves, terahertz waves or infrared rays to perform measurements. The sensing unit 131 may include analog and / or digital sensors, such as biosensors, chemical sensors, component sensors, current and / or power meters, air quality sensors, gas sensors, Hall effect sensors, brightness level sensors, and optical sensors. The sensing unit 131 may include a pressure sensor, a temperature sensor, an ultrasonic sensor, a proximity sensor, a door status sensor, a motion tracking sensor, a humidity sensor, a visible light and infrared sensor, a camera, etc.

[0057] The processor 133 may be configured to receive and process the raw inspection data RID generated by the sensing unit 131 to generate an inspection data ID. When the inspector 130 is a visual machine, the raw inspection data RID may be an image, and the processor 133 may include an algorithm for processing the image (or a portion of the image) of the electrode sheet ES to determine a judgment value of the inspection data ID and / or a model (e.g., an artificial neural network) trained to determine a judgment value based on the image of the portion of the electrode sheet ES.

[0058] The generation of the inspection data ID may be triggered by the judgment value of the electrode sheet ES determined by processing the raw inspection data RID. When the judgment value of the electrode sheet ES includes a defect, the processor 133 may be configured to generate the inspection data ID and transmit the inspection data ID and the raw inspection data RID to the processor 135.

[0059] The secondary battery manufacturing apparatus 100 may further include a measuring device configured to collect measurement data. The measurement data may be raw data, and the evaluation and judgment values ​​of the portion of the electrode sheet ES for which the measurement data is collected may be determined by processing the measurement data. As a non-limiting example, the measuring device may be a Thermofisher Scientific online thickness gauge (web gauge) or thickness meter.

[0060] The measuring device can be configured to scan the electrode sheet ES. During scanning of the electrode sheet ES, the measuring device can move in a transverse direction of the electrode sheet ES. During a single scan, the measuring device can move from one end of the electrode sheet ES in the transverse direction to the other end of the electrode sheet ES in the transverse direction. While the measuring device is scanning in the transverse direction, the electrode sheet ES can be moved in a machine direction by means of the unwinder 111 and the rewinder 113.

[0061] The measurement data may include values ​​collected by scanning. The measurement data may include data on the load of the coating material on the electrode sheet ES and data on the thickness of the coating material on the electrode sheet ES. Here, the load of the coating material is the amount of the coating material loaded per unit area of ​​the electrode sheet ES, and may be the surface density of the coating material.

[0062] The measuring device may include a sensing portion and a processor. The sensing portion may be configured to sense a physical quantity of the electrode sheet ES to generate a measurement signal. For example, the sensing portion of the measuring device may include one of the sensors described above with respect to the sensing portion 131 .

[0063] The processor of the measuring device can be configured to receive a measurement signal sensed by the sensing portion. The processor can be configured to collect measurement data based on the measurement signal. The processor can be connected to the sensing portion by wire or wirelessly. The processor can be configured to correct the measurement data by adding an offset measurement to each of a plurality of measured values ​​of the measurement data. Due to the progress of the process and the aging of the equipment, the measured value of the measurement data may be different from the actual value. The processor can correct the measured value of the measurement data based on the offset measurement to improve the reliability of the roll map generator 200 and the roll map generation method. The offset measurement can be determined based on information about the sensing portion obtained by a method such as a sample test.

[0064] The above-mentioned measurement data and inspection data ID can be time series data. The measurement data and inspection data ID can be sorted by time. The measurement data and inspection data ID can be indexed in chronological order. The measurement data can include a measured value and a time value (or multiple time values) that matches the measured value. The inspection data ID can include an inspection value and a time value (or multiple time values) that matches the inspection value. That is, the measurement data and inspection data can be stored based on the time point when the measurement and inspection are performed, and can be related to time. The time value of the measurement data and inspection data ID can be in the form of a timestamp, for example, but is not limited to this.

[0065] For example, the measurement data (e.g., load data on the electrode sheet ES or thickness data of the electrode sheet ES) may include a series of measured values ​​and time values ​​associated with the series of measured values. The measured values ​​and the time values ​​may be matched in a one-to-one manner, but are not limited thereto. The measured values ​​may be matched in a many-to-one manner with a single timestamp indicating the start point of the measurement. As another embodiment, the 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 should be understood to mean that the value includes information about at least one of the presence of a defect and the type of defect.

[0066] The first controller 141 can be operatively communicated with the first and second encoders 121, the measuring device, and the additional measuring device and the inspector via a wired or wireless data network. The data network can be unidirectional or bidirectional. The data network can be implemented by a physical channel, WiFi, a public network, and / or a dedicated network using Bluetooth or other frequency bands. The first and second encoders 121, the measuring device, and the additional measuring device and the inspector can be configured to collect data from the equipment, workpieces, intermediate products, and products in the secondary battery manufacturing equipment 100, or generate a signal for collecting data therefrom. The first controller 141 can be configured to transmit the coordinate data CD to the processor 133.

[0067] The processor 135 may be a main processor. The processor 135 may be configured to receive the inspection data ID and the original inspection data RID from the inspector 130 and the additional inspector, and report the inspection data ID and the original inspection data RID to the upper layer (e.g., the servers 220 and 240). The processor 135 may be configured to match the inspection data ID and the original inspection data RID with the coordinate data CD when the inspection data ID is surface defect data and the judgment value of the inspection data ID indicates the presence of a surface defect.

[0068] According to example embodiments, the processor 135 may be configured to calibrate the coordinate data CD based on the position of the sensing portion 131S. More specifically, the measuring device may be configured to calibrate the coordinate data CD based on the offset length OD to associate the coordinates of the coordinate data CD with the measurement value of the measurement data.

[0069] The inspector 130 may collect measurement data of a portion of the electrode sheet ES corresponding to (e.g., overlapping) the sensing portion 131, and the coordinate data CD may be collected by the second encoder 123 (described above) spaced apart from the sensing portion 131. 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 inspection data ID and the raw inspection data RID collected at the same time point may be different from each other.

[0070] According to an example embodiment, coordinate-related inspection data CID may 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 inspection data ID. The coordinate-related inspection data CID may include a site ID indicating the location of the secondary battery manufacturing equipment 100, a process ID indicating the process performed on the electrode sheet ES, an inspector name (or ID) for identifying the equipment ID inspector 130, a lot number of the electrode sheet ES (or a lot number of the second electrode roll ER2), a defect type, a defect serial number, and a date and time when the original inspection data RID was generated.

[0071] A plurality of guide rollers may be interposed between the sensing portion 131 and the rewinder 113 to define a movement path of the electrode sheet ES. Therefore, an offset length OD may be defined as the length of the electrode sheet ES between the rewinder 113 and the portion of the electrode sheet ES sensed by the sensing portion 131. The offset length OD may be equal to or greater than the linear distance between the sensing portion 131 and the rewinder 113.

[0072] According to an example embodiment, the processor 135 may be configured to match the raw inspection data RID and the coordinate data CD to provide coordinate-related raw inspection data CRID. The coordinate-related raw inspection data CRID may include a site ID, a process ID, an inspector name (or ID), a lot number of the electrode sheet ES (or a lot number of the second electrode roll ER2), a defect type, a defect sequence number, a date and time when the raw inspection data RID was generated, and the raw inspection data RID.

[0073] The processor of the measuring device can be configured to generate coordinate-related measurement data based on the coordinate data CD and the measurement data. The processor 131P can be configured to correlate the measurement data with the coordinate data CD to generate coordinate-related measurement data. Generally, the measurement data can be processed based on a trigger point. An embodiment of processing the measurement data may include storing the measurement data, manipulating the measurement data (e.g., generating coordinate-related measurement data), and transmitting the measurement data. As a non-limiting embodiment, the trigger point for processing the measurement data may be the completion of the scan. The coordinate-related measurement data may include representative values ​​of the original measurement data and the start coordinates and end coordinates of the portion of the electrode sheet ES corresponding thereto. The coordinate-related measurement data may also include a timestamp indicating the date and time when the original measurement data was collected, the ID of the measuring device, and the ID of the device.

[0074] The judgment values ​​of multiple parts of the electrode sheet ES can be determined by processing the measurement data using a setting method. When the amount of coating material on the electrode sheet ES (e.g., the load of the coating material on the electrode sheet ES or the thickness of the electrode sheet ES) is measured to be within a set range including an upper limit and a lower limit, the corresponding part of the electrode sheet ES can be determined as a high-quality part. When the amount of coating material on the electrode sheet ES (e.g., the load of the coating material 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 part of the electrode sheet ES can be determined to be defective.

[0075] As another embodiment, the measured value (or representative value) within the first range may be determined as normal, the measured value (or representative value) within the second range greater than the first range may be determined as excessive, the measured value (or representative value) within the third range greater than the second range may be determined as very excessive, the measured value (or representative value) within the fourth range less than the first range may be determined as insufficient, and the measured value (or representative value) within the fifth range less than the fourth range may be determined as very insufficient.

[0076] Here, when the lower limit of the second range is greater than or equal to the upper limit of the first range, the second range is greater than the first range. Similarly, when the upper limit of the fourth range is less than or equal to the lower limit of the first range, the fourth range is less than the first range.

[0077] The processor 133 may be configured to transmit the coordinate-related inspection data CID to the first controller 141. The first controller 141 may be configured to transmit the coordinate-related inspection data CID to the second controller 143. As another embodiment, the first controller 141 may be configured to receive the inspection data ID from the processor 135 and generate (or collect) the coordinate-related inspection data CID based on the inspection data ID and the coordinate data CD.

[0078] The first controller 141 may be configured to transmit the coordinate-related inspection data CID to the second controller 143. The second controller 143 may be configured to transmit the compressed measurement data and the coordinate-related inspection data CID to the roll map generator 200. However, the embodiment is not limited thereto, and the first controller 141 may directly transmit the compressed measurement data and the coordinate-related inspection data CID to the roll map generator 200.

[0079] The second controller 143 may be configured to control the operation of the unwinder 111, the rewinder 113, and the processing device 115. The second controller 143 may be configured to generate signals for operating or stopping the unwinder 111, the rewinder 113, and the processing device 115. The signals for operating or stopping the unwinder 111, the rewinder 113, and the processing device 115 may be generated based on the electrode specification data ESD, the compressed measurement data, the inspection data ID, and the additional inspection signal and the measurement signal.

[0080] The processor 133 may be configured to transmit the coordinate-related raw inspection data CRID to the server 230. The communication between the server 230 and the processor 135 may be a message transmission method, but is not limited thereto.

[0081] The volume map generator 200 may include servers 210, 220, 230, 240, and 250. The servers 210, 220, 230, 240, and 250 may be separate entities that perform various functions, including generating volume maps and intermediate volume maps, storing volume maps and intermediate volume maps, storing coordinate-related raw inspection data CRIDs, and relaying communications between the servers 210, 220, 230, 240, and 250. Figure 1 Unlike the example shown, some of the servers 210, 220, 230, 240, and 250 may be integrated. For example, the server 220 and the server 240 may be integrated into one server, or the servers 220, 240, and 250 may be integrated into one server.

[0082] The roll map generator 200 can be configured to generate a roll map including data about the electrode sheet ES. The roll map can represent the electrode sheet ES based on coordinates indicating locations on the electrode sheet ES. As described above, a secondary battery manufacturing process can be performed on the electrode sheet ES. The roll map can include data representing a history of processes performed on the electrode sheet ES and associated with the coordinates. Thus, the roll map enables feedback, feedforward, and tracking of the secondary battery manufacturing process as described below.

[0083] The roll map may include event data indicating a roll-to-roll process event of the electrode sheet ES. Event data (e.g., inspection data ID) is time series data because it typically occurs as the process progresses. Therefore, the data of the process event may include a value indicating the event and a time value that matches it. The time series data may be sorted by time. Sorting by time is the main feature of time series data and should be understood as organizing events in the order in which they occur and arrive to be processed. That is, the time series data may be stored based on the time point when the event occurs (i.e., when inspection and measurement are performed or when process actions are performed), and the events may be matched to the time values.

[0084] The manufacture of secondary batteries involves a series of different processes, and the preceding process affects the following process. Feedforward should be understood hereinafter as correcting the following process based on the data generated according to the results of the preceding process. In this case, when the time series data of the preceding process does not directly match the real workpiece, intermediate product and product, it is difficult to reflect the time series data of the preceding process in the following process. Here, the workpiece is the product provided as a result of each process, for example, the product subjected to the coating process, rolling process and slitting process. Figure 1 The electrode sheet ES. The intermediate product may be one of a diaphragm, an electrode and an assembly thereof cut by a slotting process. The intermediate product may be a structure including a shell and an electrode assembly included in the shell (in some cases, the structure also includes an electrolyte). The product is processed into a product that can be used as a secondary battery by an activation process. The above definitions of workpiece, intermediate product and product are only definitions thereof in one aspect and should not be understood as excluding their general definitions.

[0085] For feedforward, the time series data should be related to the actual position on the workpiece, component, intermediate product and product. In the roll map, time series data such as measurement data can be related to coordinate data based on the movement amount of the electrode sheet ES (i.e., the winding amount or unwinding amount). The roll map can allow the time series data to be related to coordinate data (including the coordinates of the position on the real workpiece, component, intermediate product and product). Therefore, the generation of the roll map and the feedforward based on the roll map can improve the productivity and quality of the process by digitizing and objectifying the process aspects that depend on the operator's judgment.

[0086] The roll diagram can be produced in batches. The electrode sheet ES can be wound into the second electrode roll ER2, and when the target winding amount is reached, the second electrode roll ER2 can be cut and separated from the electrode sheet ES connected to the first electrode roll ER. A batch is a production unit of the roll-to-roll process, and the second electrode roll ER2 separated from the electrode sheet ES is an embodiment of a batch. Therefore, the server 220 can be configured to store the roll diagram of the previous process. The roll diagram of the previous process may correspond to the first electrode roll ER1. In addition, the server 220 can be configured to generate and store the roll diagram of the current process. The roll diagram of the current process may correspond to the second electrode roll ER2.

[0087] Reel maps of previous batches can be used to improve the process of subsequent batches, and this operation can be referred to as process feedback. Process feedback using reel maps can include identifying process conditions and process parameters that cause problems and defects based on data included in the reel map.

[0088] In addition, as described below, roll graphs can be cumulatively generated for workpieces, intermediate products, and products of a unit process to track the process 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 an electrode assembly or a housing. The cell ID may include batch numbers and coordinate information of electrodes and diaphragms included in the battery cell. In other words, the cell ID may be associated with a roll graph of electrodes and diaphragms included in the battery cell. Therefore, when an event such as a quality issue occurs in a battery cell on the market, the integrated data history of the manufacture of the battery cell can be retrieved based on the cell ID.

[0089] The coordinate-related measurement data and the coordinate-related inspection data CID can be transmitted to the server 220 via the server 210. The server 210 may be a communication server. For example, the server 210 may be used for communication based on log data, but is not limited thereto. The server 210 may be a program that enables communication between the second controller 143 for manufacturing equipment and the server 220 for manufacturing management. The server 210 may be implemented using the hardware described below. The language and protocol of the server 220 may differ from the language and protocol of the second controller 143. For example, the language of the server 220 may be SQL, and the language of the second controller 143 may be ladder diagram.

[0090] The server 210 may be configured to convert the electrode specification data ESD transmitted from the server 220 into the language of the second controller 143. Furthermore, the server 210 may be configured to convert the coordinate-related measurement data and the coordinate-related inspection data CID into the language of the server 220 and record the coordinate-related measurement data and the coordinate-related inspection data CID in a database of the server 220. The coordinate-related measurement data and the coordinate-related inspection data CID may be stored in the database of the server 220 in JSON format.

[0091] The electrode specification data ESD may include model information and recipes of the electrode sheet ES. The electrode specification data ESD may 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 bands 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 mold, the pressure of the pressing roller, etc.).

[0092] In order to control the process, a communication line may be installed between the second controller 143 and the server 220 to connect the second controller 143 and the server 220 via the server 210. Therefore, compared to the case where the first encoder 121 and the second encoder 123 and the measuring device directly transmit the unwinding amount signal UWAS, the winding amount signal WAS, and the measurement signal to the first server 220, and the case where the first controller 141 directly transmits the coordinate-related measurement data to the server 220, data transmission via the second controller 143 can reduce resources required for installing the communication line and ensure efficient data processing and management.

[0093] The server 220 may be configured to generate a roll map. The roll map may include data regarding the specifications of the batch. The specifications of the batch may include, for example, the batch number, the length of the wound electrode sheet ES, the width of the electrode sheet ES, and the materials and composition used to process the electrode sheet ES.

[0094] According to an example embodiment, the server 220 may be a data processing system that supports all activities required for managing the manufacture of secondary batteries, such as work scheduling management, work instructions, quality control, and work performance aggregation. The server 220 may be, for example, a manufacturing execution system (MES). The server 220 may be configured to input, process, output, and communicate data required for the electrode manufacturing process (including the coating process, the rolling process, and the slitting process).

[0095] The server 230 may be configured to store the coordinate-related raw inspection data CRID. By storing the coordinate-related raw inspection data CRID, additional analysis of the process and insights into process improvements may be provided based on the inspection results of the inspector 130.

[0096] The server 240 may be configured to store raw measurement data. The server 240 may be configured to load the coordinate-related inspection data CID from the server 220 and the coordinate-related raw inspection data CRID from the server 230 in response to a request RQ from the client device 300. The server 240 may be configured to generate an API request AR based on the request RQ from the client device 300 to load the coordinate-related inspection data CID and the coordinate-related raw inspection data CRID from the client device 300.

[0097] More specifically, the request RQ may be generated by inputting search parameters for generating the API request AR. The search parameters may include a site name (or site ID) indicating the site where the device is installed, a process name (or process ID) indicating a process (e.g., coating, rolling, slitting, or lamination and stacking), a batch ID of the electrode sheet ES (or second electrode roll ER2), a project name (or project ID) indicating a project (or product) to be produced, and a production time period.

[0098] The server 240 may be configured to transmit the API request AR to the server 220 and the server 230. The server 220 may be configured to transmit the coordinate-related inspection data CID to the server 240 in response to the API request AR from the server 240. The server 230 may be configured to transmit the coordinate-related raw inspection data CRID to the server 240 in response to the API request AR from the server 240.

[0099] The server 240 may be configured to compare and match the coordinate-related inspection data CID and the coordinate-related raw inspection data CRID with each other. The server 240 may be configured to transmit a uniform resource locator (URL) (or pattern) to the client device 300, the uniform resource locator including source code for displaying the coordinate-related inspection data CID and the coordinate-related raw inspection data CRID on the client device 300.

[0100] The client device 300 can access the source code for displaying the coordinate-related inspection data CID and the coordinate-related original inspection data CRID via the URL (or pattern), thereby displaying the comparison and matching between the coordinate-related inspection data CID and the coordinate-related original inspection data CRID.

[0101] The server 240 may also be configured to store and process coordinate-related inspection data CID of the electrode sheet ES. The server 240 may manage the quality of the electrode sheet ES by continuously monitoring the processing of the electrode sheet ES based on the inspection data. According to an example embodiment, the server 240 may be a static process controller (SPC). The server 240 may collect and analyze manufacturing data in near real time to identify problematic conditions in a timely manner and provide notifications to operators before potential problems occur.

[0102] Server 250 can be configured to store data from servers 220, 230, and 240. Server 250 can also store coordinate-related inspection data CID and coordinate-related raw inspection data RCID. If server 220 is an MES and server 240 is an SPC, long-term storage of coordinate-related inspection data CID and coordinate-related raw inspection data RCID may not be appropriate. Server 250 can be, for example, a data warehouse and can store coordinate-related measurement data CMD and coordinate-related measurement data for a long period of time, such as during a product's quality assurance cycle. This allows tracking of product manufacturing processes throughout the product's lifecycle.

[0103] The client device 300 may transmit a request RQ to the server 250 for querying the comparison and matching of the coordinate-related inspection data CID and the coordinate-related raw inspection data CRID. The server 250 may be configured to retrieve the coordinate-related inspection data CID and the coordinate-related raw inspection data CRID in response to the request from the client device 300. The server 250 may be configured to compare and match the coordinate-related inspection data CID and the coordinate-related raw inspection data CRID with each other. The server 250 may be configured to transmit a URL (or pattern) to the client device 300, the URL including source code for displaying the coordinate-related inspection data CID and the coordinate-related raw inspection data CRID on the client device 300.

[0104] Each of the servers 240 and 250 may be configured to generate an intermediate volume map in response to a request from the client device 300. The intermediate volume map provides a match between the coordinate-related raw inspection data CRID and the coordinate-related inspection data CID. According to example embodiments, the match between the coordinate-related raw inspection data CRID and the coordinate-related inspection data CID may be automatically monitored, thereby improving the reliability of the intermediate volume map.

[0105] The processors 133 and 135 and the servers 210, 220, 230, 240, and 250 may be implemented by hardware, firmware, software, or a combination thereof. For example, the processors 133 and 135 and the servers 210, 220, 230, 240, and 250 may include computing devices such as workstation computers, desktop computers, laptop computers, and tablet computers. The processors 133 and 135 and the servers 210, 220, 230, 240, and 250 may include simple controllers, complex processors (such as microprocessors, CPUs, or GPUs), processors configured by software, dedicated hardware, and firmware. The processors 133 and 135 and the servers 210, 220, 230, 240, and 250 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)).

[0106] In addition to the roll map, the server 220 also stores and processes a large amount of data related to general manufacturing management. Therefore, the roll map stored in the server 220 may include simplified compressed measurement data rather than coordinate-related measurement data CMD including original measurement data. The server 220 may provide the roll map in response to a request from the client device 300. The client device 300 may display the roll map as shown in FIG. Figure 3 and Figure 4 The data d2 of the intermediate volume diagram is shown.

[0107] The client device 300 may be a device for communicating with the volume map generator 200, such as a mobile device (such as a workstation computer, a laptop computer, a desktop computer, a tablet PC, or a smart phone) or a wearable device. The client device 300 may be configured to generate a request RQ to load the coordinate-related inspection data CID and the coordinate-related raw inspection data CRID. The client device 300 may be configured to transmit the request RQ to the volume map generator 200. The client device 300 may include an input tool for inputting the requests R1 and R2 and a display. Figure 3 or Figure 4 The screen SCR display device.

[0108] Coordinate-correlated inspection data (CID) provides information about the occurrence of defects, but it is difficult to gain additional insights into defect analysis from the CID. Coordinate-correlated raw inspection data (CRID) contains information about the actual aspects of the defects, so analysis of the CRID is a key factor in improving yield and productivity in secondary battery manufacturing. According to example embodiments, accessibility to issues occurring during secondary battery manufacturing can be improved by automatically checking for matches between the CID and the CRID.

[0109] Servers 210, 220, 230, 240, and 250 may include physical servers or cloud servers. Servers 210, 220, 230, 240, and 250 may provide data and analysis results to operators using various frameworks. The frameworks may include protocols that support data transmission, allowing client devices 300 to visualize data using a user interface and providing updated visualizations as servers 220 and 230 calculate new data. Protocols that support data transmission may include HTML, JavaScript, and / or JSON.

[0110] Servers 210, 220, 230, 240, and 250 may include various types of application programming interfaces (APIs) and other data management tools for storing data in databases. APIs may also be used to retrieve data from databases of various data management systems. Data management systems may provide access to databases, extract or retrieve data from databases, and generate metrics. Here, metrics are tools for visualizing data. Metrics may include measured values ​​generated in a time series manner and are used to monitor applications and generate status alerts.

[0111] According to some embodiments, the operations of processors 133 and 135 and servers 210, 220, 230, 240, and 250 may be implemented by instructions stored in a machine-readable medium, which may be read and executed by one or more processors. Here, a machine-readable medium may include any device for storing and / or transmitting information in a form readable by a machine (e.g., a computing device). Examples of machine-readable media may include read-only memory (ROM), random access memory (RAM), magnetic 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.

[0112] The processors 133 and 135 and the 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, the processors 133 and 135 and the servers 210, 220, 230, 240, and 250 may be instantiated in memory.

[0113] However, this is for ease of explanation, and the operations of processors 133 and 135 and servers 210, 220, 230, 240, and 250 may also result from computing devices, distributed computing devices, processors, firmware, software, routines, and other devices that execute routines and instructions.

[0114] The secondary battery manufacturing system 10 can implement a plug-in architecture with an API for obtaining data to provide plug-and-play connectivity between the measurement device, the inspector 130, and additional measurement devices and inspectors. Therefore, resources in a specific process step and a specific location can be easily transferred to a different process, and different sites or new resources can be easily introduced to each process step and each location.

[0115] The data network between the components of the secondary battery manufacturing system 10 can include various types of communication channels, including unidirectional and bidirectional wired and wireless communications. For example, the data network can include an industrial protocol network such as OPC, Modbus, or ProfiNet. The communication channel can be a dedicated pipe communication channel such as a universal serial bus (USB), IEEE 802 (Ethernet), IEEE 1394 (FireWire), or other high-speed data communication standards.

[0116] In some embodiments, the roll map generator 200 may also include a manual input system that allows an operator to input manufacturing data. The roll map generator 200 may allow an operator to input data using an input tool as well as computer-based manufacturing data input, such as an Excel file scrap.

[0117] The architecture configured to generate roll maps and intermediate roll maps can be implemented by simply adding the first controller 141 to the necessary elements of a modern process management system. This means that the system according to this exemplary embodiment can utilize resources from existing manufacturing facilities and reduce additional capital expenditures. Furthermore, applying the same architecture as existing manufacturing equipment to newly constructed manufacturing equipment can improve secondary battery manufacturing reliability, detect and improve problematic processes, and efficiently introduce new processes.

[0118] (Second embodiment)

[0119] Figure 2 is a flowchart of a secondary battery manufacturing method according to example embodiments.

[0120] refer to Figure 1 and Figure 2 In P110, coordinate-related inspection data CID and coordinate-related raw inspection data CRID may be collected. The collection of coordinate-related inspection data CID and coordinate-related raw inspection data CRID may be triggered by an inspection data ID indicating a surface defect on the electrode sheet ES. When the inspection data ID determined by processing the raw inspection data RID indicates the presence of a surface defect, the processor 133 may transmit the raw inspection data RID and the inspection data ID to the processor 135. The processor 135 may provide the coordinate-related inspection data CID and coordinate-related raw inspection data CRID by matching the raw inspection data RID with the coordinate data CD.

[0121] Next, in P120 , the coordinate-related inspection data CID and the coordinate-related raw inspection data CRID may be stored. The coordinate-related inspection data CID may be stored in the server 220 , and the coordinate-related raw inspection data CRID may be stored in the server 230 .

[0122] Figure 3 A screen SCR on the display device of the client device 300 is shown.

[0123] refer to Figures 1 to 3 , in P130, the match between the coordinate-related inspection data CID and the coordinate-related raw inspection data CRID can be monitored. Monitoring the match between the coordinate-related inspection data CID and the coordinate-related raw inspection data CRID can include comparing the inspector ID, batch ID, defect serial number, and coordinates of the coordinate-related inspection data CID and the coordinate-related raw inspection data CRID derived from the same part of the electrode sheet ES (i.e., derived from the same raw inspection data RID). In this case, matching the coordinates includes taking into account an allowable error. That is, when the difference between the coordinates of the coordinate-related inspection data CID and the coordinates of the coordinate-related raw inspection data CRID is within the range of the allowable error, it can be determined that the coordinates of the coordinate-related inspection data CID and the coordinates of the coordinate-related raw inspection data CRID match each other.

[0124] The screen SCR may include first to fifth regions R1, R2, R3, and R4. Figure 3 As shown, the first to fourth regions R1 to R4 may be displayed on the screen SCR at the same time, but the embodiment is not limited thereto.

[0125] A user of the client device 300 (eg, an operator or an engineer) may input a search parameter into the first region R1 . The search parameter may include a site ID, a process ID, an equipment ID, a batch ID, a project name, and the like.

[0126] In the second region R2, the coordinate-related inspection data CID and coordinate-related raw inspection data CRID retrieved using the search parameter are sorted and listed according to the batch ID. When the user selects one of the items in the list in the second region R2 (or selects one of the batch IDs), the coordinate-related inspection data CID derived from the electrode sheet ES (or second electrode roll ER2) corresponding to the selected batch ID can be displayed in the third region R3, and the coordinate-related raw inspection data CRID derived from the electrode sheet ES (or second electrode roll ER2) corresponding to the selected batch ID can be displayed in the fourth region R4.

[0127] Monitoring for matches between the coordinate-related inspection data CID and the coordinate-related raw inspection data CRID can be triggered by entering search parameters and selecting a batch ID. Matches between the coordinate-related inspection data CID and the coordinate-related raw inspection data CRID can be monitored by server 230 or server 250. Servers 230 and 250 can display matches between the coordinate-related inspection data CID and the coordinate-related raw inspection data CRID.

[0128] The server 230 and the server 250 may be configured to determine whether the inspector ID, the defect serial number, and the coordinates of the coordinate-related inspection data CID and the coordinate-related original inspection data CRID match each other. The server 230 and the server 250 may be configured to display whether the inspector ID, the defect serial number, and the coordinates of the coordinate-related inspection data CID and the coordinate-related original inspection data CRID match each other.

[0129] (Third embodiment)

[0130] Figure 4 A secondary battery manufacturing system 11 according to other example embodiments is shown.

[0131] 5 , the secondary battery manufacturing system 11 may include a secondary battery manufacturing apparatus 101 , a reel map generator 200 , and a client device 300 .

[0132] The secondary battery manufacturing apparatus 101 may be configured to perform a secondary battery manufacturing process and may include an unwinder 111 , a rewinder 113 , a processing device 115 , a first encoder 121 , a second encoder 123 , an inspector 130 , a first controller 141 , and a second controller 143 .

[0133] That is, the secondary battery manufacturing equipment 101 may not include Figure 1 Therefore, the processor 133 of the inspector 130 may be configured to collect the coordinate-related inspection data CID and the coordinate-related raw inspection data CRID based on the coordinate data CD and the raw inspection data RID.

[0134] The present invention has been described in more detail above with reference to the accompanying drawings, embodiments, etc. 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 of the technical concepts of the present invention. Therefore, it should be understood that various equivalent examples and modifications of alternative configurations may have been made as of the filing date of this application.

Claims

1. A method for manufacturing a secondary battery, comprising the following steps: loading coordinate-related inspection data and coordinate-related raw inspection data of an electrode sheet, wherein the coordinate-related raw inspection data includes an image and coordinates of a portion of the electrode sheet, and the coordinate-related inspection data includes a determination of whether the portion of the electrode sheet includes a surface defect and the coordinates of the portion of the electrode sheet; and A match between the coordinate-related inspection data and the coordinate-related raw inspection data is monitored.

2. The secondary battery manufacturing method according to claim 1, wherein: The step of monitoring a match between the coordinate-related inspection data and the coordinate-related raw inspection data includes comparing coordinates of the portion of the electrode sheet of the coordinate-related raw inspection data with coordinates of the portion of the electrode sheet of the coordinate-related inspection data.

3. The secondary battery manufacturing method according to claim 1, wherein: The step of monitoring the matching between the coordinate-related inspection data and the coordinate-related original inspection data includes: when the difference between the coordinates of the part of the electrode sheet of the coordinate-related original inspection data and the coordinates of the part of the electrode sheet of the coordinate-related inspection data is within the allowable error range, determining that the matching between the coordinate-related original inspection data and the coordinate-related inspection data is normal.

4. The secondary battery manufacturing method according to claim 1, wherein: Each of the coordinate-related raw inspection data and the coordinate-related inspection data includes an inspector identifier ID indicating an inspector configured to inspect the portion of the electrode sheet, and The step of monitoring a match between the coordinate-related inspection data and the coordinate-related raw inspection data includes comparing an inspector ID of the coordinate-related raw inspection data with an inspector ID of the coordinate-related inspection data.

5. The secondary battery manufacturing method according to claim 1, wherein: Each of the coordinate-related raw inspection data and the coordinate-related inspection data includes a defect serial number indicating a defect sequence in the electrode sheet, and The step of monitoring a match between the coordinate-related inspection data and the coordinate-related raw inspection data includes comparing a defect serial number of the coordinate-related raw inspection data with a defect serial number of the coordinate-related inspection data.

6. The secondary battery manufacturing method according to claim 5, wherein: The defect serial number is different for each of the inspectors.

7. The secondary battery manufacturing method according to claim 1, wherein: Monitoring of a match between the coordinate-related inspection data and the coordinate-related raw inspection data is triggered by loading the coordinate-related inspection data and the coordinate-related raw inspection data.

8. A secondary battery manufacturing system, comprising a server configured to load coordinate-related inspection data and coordinate-related raw inspection data of an electrode sheet, and monitor a match between the coordinate-related inspection data and the coordinate-related raw inspection data. in, The coordinate-related raw inspection data includes an image and coordinates of a portion of the electrode sheet, and The coordinate-related inspection data includes a determination of whether the portion of the electrode sheet has a surface defect and the coordinates of the portion of the electrode sheet.

9. The secondary battery manufacturing system according to claim 8, wherein: Monitoring a match between the coordinate-related inspection data and the coordinate-related raw inspection data includes comparing coordinates of the portion of the electrode sheet of the coordinate-related raw inspection data with coordinates of the portion of the electrode sheet of the coordinate-related inspection data.

10. The secondary battery manufacturing system according to claim 8, wherein Monitoring the match between the coordinate-related inspection data and the coordinate-related original inspection data includes: when the difference between the coordinates of the portion of the electrode sheet of the coordinate-related original inspection data and the coordinates of the portion of the electrode sheet of the coordinate-related inspection data is within an allowable error range, determining that the match between the coordinate-related original inspection data and the coordinate-related inspection data is normal.

11. The secondary battery manufacturing system according to claim 8, wherein: Each of the coordinate-related raw inspection data and the coordinate-related inspection data includes an inspector identifier ID indicating an inspector configured to inspect the portion of the electrode sheet, and Monitoring a match between the coordinate-related inspection data and the coordinate-related raw inspection data includes comparing an inspector ID of the coordinate-related raw inspection data with an inspector ID of the coordinate-related inspection data.

12. The secondary battery manufacturing system according to claim 8, wherein: Each of the coordinate-related raw inspection data and the coordinate-related inspection data includes a defect serial number indicating a defect sequence in the electrode sheet, and Monitoring a match between the coordinate-related inspection data and the coordinate-related raw inspection data includes comparing a defect serial number of the coordinate-related raw inspection data with a defect serial number of the coordinate-related inspection data.

13. The secondary battery manufacturing system according to claim 8, wherein: Monitoring of a match between the coordinate-related inspection data and the coordinate-related raw inspection data is triggered by loading the coordinate-related inspection data and the coordinate-related raw inspection data.

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