Secondary battery manufacturing system and method for manufacturing secondary battery

Abstract

According to an exemplary embodiment, a method for manufacturing a secondary battery is provided, the method including loading inspection data associated with coordinates of an electroded sheet and raw inspection data associated with the coordinates, the raw inspection data associated with the coordinates including an image of a portion of the electroded sheet and coordinates of the portion of the electroded sheet, the inspection data associated with the coordinates including a determination of surface defects on the portion of the electroded sheet and the coordinates of the portion of the electroded sheet, and monitoring a match between the inspection data associated with the coordinates and the raw inspection data associated with the coordinates.

Description

[Technical Field]

[0001] The present invention relates to a secondary battery manufacturing system and a method for manufacturing a secondary battery. This application claims the benefit of Korean Application No. 10-2023-0133139, filed on October 6, 2023, which is incorporated herein by reference in its entirety. [Background technology]

[0002] Unlike primary batteries, secondary batteries can be charged and discharged multiple times. Secondary batteries are widely used as energy sources for various wireless devices such as handsets, laptops, and wireless vacuum cleaners. In recent years, improvements in energy density and economies of scale have dramatically reduced the manufacturing cost per unit capacity of secondary batteries. As the driving range of battery electric vehicles (BEVs) has increased to the same level as fuel-powered vehicles, the primary use of secondary batteries has shifted from mobile devices to mobility.

[0003] Secondary batteries are manufactured through an electrode process, an assembly process, and an activation process. Among these processes, the electrode process is the most crucial process for determining the yield and performance of the battery cell. The electrode process can include a coating process, a roll press process, and a slitting process. In the coating process, active materials and insulating materials can be applied to the surface of a current collector. In the roll press process, the electrode can be pressed by a pressure roll. The roll press process can determine the density, performance, and surface quality of the electrode. In the slitting process, the electrode can be cut into multiple electrodes according to the design of the battery cell. Summary of the Invention [Problem to be solved by the invention]

[0004] The problem to be solved by the technical idea of ​​the present invention is to provide a secondary battery manufacturing system and a method for manufacturing a secondary battery with improved traceability. [Means for solving the problem]

[0005] According to an exemplary embodiment of the present invention for achieving the above object, there is provided a method for manufacturing a secondary battery, the method including the steps of loading inspection data associated with coordinates of an electrode sheet and raw inspection data associated with the coordinates, the raw inspection data associated with the coordinates including an image of a portion of the electrode sheet and coordinates of the portion of the electrode sheet, the inspection data associated with the coordinates including a determination of a surface defect of the portion of the electrode sheet and the coordinates of the portion of the electrode sheet, and monitoring a match between the inspection data associated with the coordinates and the raw inspection data associated with the coordinates.

[0006] The step of monitoring a match between the test data associated with the coordinates and the raw test data associated with the coordinates includes comparing the coordinates of the portion of the electrode sheet in the raw test data associated with the coordinates with the coordinates of the portion of the electrode sheet in the test data associated with the coordinates.

[0007] The step of monitoring the matching between the test data associated with the coordinates and the raw test data associated with the coordinates includes determining that the matching between the raw test data associated with the coordinates and the test data associated with the coordinates is normal if a difference between the coordinates of the portion of the electrode sheet in the raw test data associated with the coordinates and the coordinates of the portion of the electrode sheet in the test data associated with the coordinates is within an acceptable error range.

[0008] The raw test data associated with the coordinates and the test data associated with the coordinates include an tester ID indicating an tester configured to test the portion of the electrode sheet, and the step of monitoring a match between the test data associated with the coordinates and the raw test data associated with the coordinates includes comparing the tester ID of the raw test data associated with the coordinates with the tester ID of the test data associated with the coordinates.

[0009] The raw test data associated with the coordinates and the test data associated with the coordinates include a defect order indicating the order of defects in the electrode sheet, and the step of monitoring a match between the test data associated with the coordinates and the raw test data associated with the coordinates includes comparing the defect order of the raw test data associated with the coordinates with the defect order of the test data associated with the coordinates.

[0010] The order of defects varies depending on the inspection device.

[0011] Monitoring a match between the inspection data associated with the coordinates and the raw inspection data associated with the coordinates is triggered by loading the inspection data associated with the coordinates and the raw inspection data associated with the coordinates.

[0012] According to an exemplary embodiment, a secondary battery manufacturing system is provided, the system including a server configured to load inspection data associated with coordinates of an electrode sheet and raw inspection data associated with the coordinates, and to monitor matching between the inspection data associated with the coordinates and the raw inspection data associated with the coordinates, the raw inspection data associated with the coordinates including an image of a portion of the electrode sheet and coordinates of the portion of the electrode sheet, and the inspection data associated with the coordinates including a determination of a surface defect on the portion of the electrode sheet and the coordinates of the portion of the electrode sheet.

[0013] A secondary battery manufacturing system, characterized in that monitoring a match between the inspection data associated with the coordinates and the raw inspection data associated with the coordinates includes comparing the coordinates of the portion of the electrode sheet in the raw inspection data associated with the coordinates with the coordinates of the portion of the electrode sheet in the inspection data associated with the coordinates.

[0014] Monitoring the matching between the test data associated with the coordinates and the raw test data associated with the coordinates includes determining that the matching between the raw test data associated with the coordinates and the test data associated with the coordinates is normal if a difference between the coordinates of the portion of the electrode sheet in the raw test data associated with the coordinates and the coordinates of the portion of the electrode sheet in the test data associated with the coordinates is within an acceptable range.

[0015] The raw test data associated with the coordinates and the test data associated with the coordinates include an tester ID indicating an tester configured to test the portion of the electrode sheet, and monitoring a match between the test data associated with the coordinates and the raw test data associated with the coordinates includes comparing the tester ID of the raw test data associated with the coordinates with the tester ID of the test data associated with the coordinates.

[0016] The raw test data associated with the coordinates and the test data associated with the coordinates include a defect order indicating the order of defects in the electrode sheet, and monitoring the matching of the test data associated with the coordinates and the raw test data associated with the coordinates includes comparing the defect order of the raw test data associated with the coordinates with the defect order of the test data associated with the coordinates.

[0017] Monitoring a match between the inspection data associated with the coordinates and the raw inspection data associated with the coordinates is triggered by loading the inspection data associated with the coordinates and the raw inspection data associated with the coordinates. [Effects of the Invention]

[0018] According to an exemplary embodiment of the present invention, the match between the judged value of the test data and the raw test data can be automatically monitored, thereby improving the reliability and productivity of secondary battery manufacturing.

[0019] The effects that can be obtained from the exemplary embodiments of the present disclosure are not limited to the effects mentioned above, and other effects not mentioned can be clearly derived and understood from the following description by a person having ordinary skill in the art to which the exemplary embodiments of the present disclosure belong. In other words, unintended effects accompanying the implementation of the exemplary embodiments of the present disclosure can also be derived from the exemplary embodiments of the present disclosure by a person having ordinary skill in the art. [Brief explanation of the drawings]

[0020] [Figure 1] 1 illustrates a secondary battery manufacturing system according to an exemplary embodiment. [Figure 2] 1 is a flowchart illustrating a method for manufacturing a secondary battery according to an exemplary embodiment. [Figure 3] 1 shows a screen of a display device of a client device. [Figure 4] 1 illustrates a secondary battery manufacturing system according to another exemplary embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0021] Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. Before that, it should be noted that the terms and words used in the specification and claims should not be interpreted as being limited to their ordinary or dictionary meanings, but should be interpreted as meanings and concepts that are consistent with the technical idea of ​​the present invention, based on the principle that the inventor can appropriately define the concept of the term to best describe his / her own invention.

[0022] Therefore, the embodiments described in this specification and the configurations shown in the drawings are merely the most preferred embodiments of the present invention and do not represent the entire technical idea of ​​the present invention, and there may be various equivalents and modifications that can replace them at the time of this application.

[0023] Furthermore, in the description of the present invention, if it is determined that a specific description of related publicly known configurations or functions may obscure the gist of the present invention, the detailed description will be omitted.

[0024] The embodiments of the present invention are provided to more completely explain the present invention to those skilled in the art, and therefore the shapes and sizes of components in the drawings may be exaggerated, omitted, or shown in a schematic manner for clearer explanation. Therefore, the sizes and proportions of each component do not completely reflect the actual sizes and proportions.

[0025] (First embodiment) FIG. 1 shows a secondary battery manufacturing system 10 according to an exemplary embodiment.

[0026] Referring to FIG. 1, a secondary battery manufacturing system 10 may include a secondary battery manufacturing facility 100 , a roll map generator 200 , and a client device 300 .

[0027] The secondary battery manufacturing equipment 100 may be configured to perform a secondary battery manufacturing process. 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, an inspector 130, a processor 135, a first controller 141, and a second controller 143.

[0028] The unwinder 111 can be configured to unwind the electrode sheet ES from the first electrode roll ER1. The rewinder 113 can be configured to wind the electrode sheet ES onto the second electrode roll ER2. This allows the electrode sheet ES to move between the unwinder 111 and the rewinder 113.

[0029] A process for manufacturing a secondary battery (e.g., an electrode process) can be performed on the electrode sheet ES. The electrode process is performed on the electrode sheet ES that is unwound from the first electrode roll ER1 and wound around the second electrode roll ER2, so the electrode process can also be called a roll-to-roll process.

[0030] The electrode sheet ES may be processed by the processing mechanism 115. As one example, the processing mechanism 115 may include a coater, and electrode slurry may be coated onto the electrode sheet ES. As another example, the processing mechanism 115 may include a pressure roll, and a roll pressing process may be performed on the electrode sheet ES coated with the electrode slurry. As another example, the processing mechanism 115 may include a splicing die and a scrap port, and portions of the electrode sheet ES may be scrapped. As another example, the processing mechanism may include a slitting knife, and the electrode sheet ES may be separated into multiple electrode sheets.

[0031] The coating process is a process of applying a coating material, such as an electrode slurry, onto the electrode sheet ES. The electrode slurry may include an electrode active material, a conductive material, a binder, and a solvent. The electrode slurry may be prepared by dissolving the electrode active material, the conductive material, the binder, and the like in a solvent.

[0032] The roll pressing process involves passing the electrode sheet ES coated with electrode slurry between pressure rolls facing each other. The pressure rolls flatten the electrode surface and increase the bonding strength between the active material and the current collector.

[0033] To increase the production volume (e.g., GWh) per line of a secondary battery production facility, a coating process and a roll pressing process are performed on the wide electrode sheet ES. In a subsequent slitting process, the wide electrode sheet ES can be cut according to the battery cell specifications.

[0034] The first encoder 121 may be configured to sense the amount of electrode sheet ES unwound from the first electrode roll ER1 by the unwinder 111. Thus, the first encoder 121 may be configured to generate a unwinding amount signal UWAS indicating the unwound amount of the electrode sheet ES. The first encoder 121 may be configured to transmit the unwinding amount signal UWAS to the first controller 141. The first controller 141 may be configured to collect input amount data based on the unwinding amount signal UWAS of the electrode sheet ES. The input amount data may indicate the amount of material (i.e., the first electrode roll ER1) input into the secondary battery manufacturing equipment 100 to manufacture a secondary battery.

[0035] The second encoder 123 may be configured to sense the amount of electrode sheet ES wound onto the second electrode roll ER2 by the rewinder 113. Thus, the second encoder 123 may be configured to generate a winding amount signal WAS indicating the winding amount of the electrode sheet ES. The second encoder 123 may be configured to transmit the winding amount signal WAS to the first controller 141. The first controller 141 may be configured to collect consumption amount data based on the winding amount signal WAS of the electrode sheet ES. The consumption amount data may indicate the production performance of the secondary battery manufacturing equipment 100.

[0036] Portions of the electrode sheet ES may be scrapped in some cases, which may cause the amount of electrode sheet ES taken up by the unwinder 111 to differ from the amount of electrode sheet ES taken up by the rewinder 113. Furthermore, if the electrode sheet ES is stretched by pressure in a subsequent process such as a roll press, the amount of electrode sheet ES taken up by the unwinder 111 may differ from the amount of electrode sheet ES taken up by the rewinder 113.

[0037] By way of non-limiting example, first controller 141 and second controller 143 may be programmable logic controllers (PLCs). A PLC is a specialized form of microprocessor-based controller that uses programmable memory to store instructions and implements functions such as logic, sequencing, timing, counting, and arithmetic to control machines and processes. PLCs are easy to operate and program.

[0038] 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 memory device. The power supply may be configured to supply power to other elements 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 memory device, for operation of the first controller 141 and the second controller 143. The memory 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 user programs and data such as information about the status of input / output devices, timers, counters, and other internal device values. The CPU may be configured to implement logic and control communication between modules that convert input signals into output operating signals. The CPU may operate based on system programs and user programs stored in the memory device. The CPU may be configured to write or read inspection data and measurement data to or from a data area of ​​the memory device based on the system programs and user programs. Conditions and data of industrial equipment and production processes may be transmitted to the CPU via the input module. The result processed 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.

[0039] However, without being limited thereto, the first controller 141 and the second controller 143 may include any 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 also be embodied by, for example, a general-purpose computer or application-specific hardware such as a DSP (Digital Signal Processor), an FPGA (Field Programmable Gate Array), and an ASIC (Application Specific Integrated Circuit).

[0040] The first controller 141 may be configured to collect coordinate data CD of the electrode sheet ES based on one of the unwinding amount signal UWAS and the winding amount signal WAS of the electrode sheet ES. As an example, the first controller 141 may 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 within the electrode sheet ES of the portion of the electrode sheet ES that is wound by the rewinder 113 at each point in time during the coating process. Hereinafter, the technical concept of the present invention will be described focusing on an embodiment in which the first controller 141 collects coordinate data CD based on the winding amount signal WAS of the electrode sheet ES.

[0041] The coordinate data CD may include coordinates that are matched to each portion of the electrode sheet ES. That is, each arbitrary point on the electrode sheet ES may have a coordinate. The coordinate may be a one-dimensional quantity in the running direction (or the longitudinal direction of the electrode sheet ES), which is the direction of movement of the electrode sheet ES, but is not limited to this. The coordinate may also be a two-dimensional quantity in the running direction and the lateral direction (or the width direction of the electrode sheet ES).

[0042] The inspector 130 can be configured to inspect the electrode sheet ES to collect inspection data ID. The inspector 130 can include a color sensor, an optical character reader (OCR), a barcode reader (BCR), a seam sensor, a reference point sensor, a vision machine, and the like.

[0043] An example of the inspection data ID is surface defect data of the electrode sheet ES. The surface defect data may include the type of defect in the second electrode roll ER2, the order of the defects, and the date and time when the raw inspection data RID was generated.

[0044] The order of defects can be updated on a lot-by-lot basis. For example, the order of the first defect in the electrode sheet ES (or the first defect in the second electrode roll ER2) is 1 (or any symbol that can indicate the first defect), and the order of the Nth defect is N (or any symbol that can indicate the Nth defect). For example, after the second electrode roll ER2 achieves the target winding length, the second electrode roll ER2 can be cut and unloaded, and the remaining electrode sheet ES can be wound onto a new second electrode roll ER2. The order of defects in the new second electrode roll ER2 can be restarted from 1 (or any symbol that can indicate the first defect).

[0045] For example, the secondary battery manufacturing equipment 100 may include one or more additional testers, and the tester and the one or more additional testers may have different failure orders.

[0046] Types of surface defects may include pinhole defects, crater defects, line defects, crack defects, side ring defects, island defects, fold defects, wrinkle defects, poke defects, and dent defects.

[0047] Another example of the inspection data ID is dimensional data of the electrode sheet ES. The dimensional data may include dimensions of the electrode sheet ES, a determination value determined from the dimensions of the electrode sheet ES, and the date and time of generation of the raw inspection data RID for collecting the dimensional data of the electrode sheet ES. Here, the dimensions 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 overlay, which is the overlap width between the coating material (i.e., electrode slurry) on the electrode sheet ES and the insulating layer, and a mismatch, which indicates misalignment between the ground lane on the lower surface and the ground lane on the upper surface of the electrode sheet ES.

[0048] The inspection data ID may include data on the seams of the electrode sheet ES, data on reference points indicating the positions of the electrode sheet ES, data indicating the portions of the electrode sheet ES where the sampling inspection was performed, data on the portions of the electrode sheet ES that are scheduled to be scrapped, and data on the scrapped portions of the electrode sheet ES. Here, the reference points may be formed at predetermined intervals on the electrode sheet ES, and the positions of other elements on the electrode sheet ES may be known based on the reference points.

[0049] The inspector 130 may include a sensing unit 131 and a processor 133. The sensing unit 131 may be configured to sense a 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 also include an emitter and a receiver configured to perform measurements using non-destructive signals such as ultrasound, microwaves, terahertz waves, and infrared rays. The sensing unit 131 may also 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 light sensors. The sensing unit 131 may also include pressure sensors, temperature sensors, ultrasonic sensors, proximity sensors, door status sensors, motion tracking sensors, humidity sensors, visible and infrared sensors, and cameras.

[0050] The processor 133 may be configured to receive and process the raw inspection data RID generated by the sensing unit 131 to generate the inspection data ID. If the inspector 130 is a vision 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 determination value of the inspection data ID and / or a model (e.g., an artificial neural network) trained to determine a determination value based on the image of the portion of the electrode sheet ES.

[0051] The generation of the test data ID can be triggered by a judgment value of the electrode sheet ES determined by processing the raw test data RID. If the judgment value of the electrode sheet ES includes a defect, the processor 133 can be configured to generate the test data ID and transmit the test data ID and the raw test data RID to the processor 135.

[0052] The secondary battery manufacturing equipment 100 may further include a measuring instrument configured to collect measurement data. The measurement data is raw data, and processing of the measurement data may determine an evaluation and a judgment value of the portion of the electrode sheet ES from which the measurement data was collected. As a non-limiting example, the measuring instrument may be any one of a web gauge and a thickness gauge from Thermofisher Scientific.

[0053] The measuring instrument can be configured to scan the electrode sheet ES. While scanning the electrode sheet ES, the measuring instrument can move along the lateral direction of the electrode sheet ES. During one scan, the sensing unit of the measuring instrument can move from one lateral end of the electrode sheet ES to the other lateral end of the electrode sheet ES. While the measuring instrument performs lateral scanning, the electrode sheet ES can be moved in the travel direction by the unwinder 111 and the rewinder 113.

[0054] The measurement data may include values ​​collected by scanning. The measurement data may include data on the amount of coating material loaded on the electrode sheet ES and data on the thickness of the coating material on the electrode sheet ES. Here, the loading amount represents the amount of coating material loaded per unit area of ​​the electrode sheet ES, and may be the area density of the coating material.

[0055] The meter may include a sensing unit and a processor. The sensing unit may be configured to sense a physical quantity of the electrode sheet ES to generate a measurement signal. For example, the sensing unit of the meter may include any one of the sensors described above with respect to the sensing unit 131.

[0056] The processor of the measuring instrument may be configured to receive a measurement signal sensed by the sensing unit. The processor may be configured to collect measurement data based on the measurement signal. The processor may be coupled to the sensing unit via a wired or wireless connection. The processor may be configured to calibrate the measurement data by adding an offset measurement amount to each of a plurality of measurement values ​​of the measurement data. Due to the progress of the process and aging of the equipment, the measurement values ​​of the measurement data may differ from the actual values. By calibrating the measurement values ​​of the measurement data based on the offset measurement amount, the processor can improve the reliability of the roll map generator 200 and the method for generating a roll map. The offset measurement amount may be determined based on information known about the sensing unit by a method such as a sample test.

[0057] The measurement data and test data IDs described above may be time-series data. The measurement data and test data IDs may be aligned in time. The measurement data and test data IDs may be indexed by time. The measurement data may include a measurement value and a time value (or multiple time values) matched to the measurement value. The test data ID may include a test value and a time value (or multiple time values) matched to the test value. That is, the measurement data and test data may be stored based on the time at which the measurement and test were performed, and the measurement data and test data may be associated with time. The time values ​​of the measurement data and test data may have, for example, but not be limited to, a timestamp format.

[0058] As an example, the measurement data (e.g., loading amount data on the electrode sheet ES or thickness data of the electrode sheet ES) may have a series of measurement values ​​and time values ​​associated with the series of measurement values. The measurement values ​​and time values ​​may be matched one-to-one, but are not limited to this. The measurement values ​​may also be matched many-to-one with a single timestamp representing the start point of the measurement. As another example, the defect data may have a value indicating a defect and a time value associated with the value indicating a defect. Here, indicating a defect includes at least one of the presence or absence of a defect and the type of defect.

[0059] The first controller 141 may be in operative communication with the first encoder 121 and the second encoder 123, the measuring instruments, and additional measuring and inspection instruments via a wired or wireless data network. The data network may be unidirectional or bidirectional. The data network may be embodied by a public network and / or a specialized network using physical channels, Wi-Fi, Bluetooth, and / or other frequency bands. The first encoder 121 and the second encoder 123, the measuring instruments, and additional measuring and inspection instruments may be configured to collect data or generate signals for collecting data from equipment, workpieces, semi-finished products, and finished products within the secondary battery manufacturing equipment 100. The first controller 141 may be configured to transmit coordinate data CD to the processor 133.

[0060] Processor 135 may be a kind of master PC. Processor 135 may be configured to receive inspection data IDs and raw inspection data RIDs of inspector 130 and the additional inspector, and report them to a higher level (e.g., servers 220 and 240). Processor 135 may be configured to match the inspection data ID and raw inspection data RID with coordinate data CD when the inspection data ID is surface defect data and the judgment value of the inspection data ID indicates that a surface defect is present.

[0061] According to an exemplary embodiment, the processor 135 may be configured to calibrate the coordinate data CD based on the position of the sensing unit 131. More specifically, the measuring instrument may be configured to associate coordinates of the coordinate data CD with measurement values ​​of the measurement data by calibrating the coordinate data CD based on the offset length OD.

[0062] The inspector 130 can collect measurement data of the portion corresponding to (e.g., overlapping with) the sensing unit 131, and the coordinate data CD is collected by the second encoder 123, which is spaced apart from the sensing unit 131, as described above. As a result, the portion of the electrode sheet ES corresponding to the coordinate data CD collected at the same time point may differ from the portion of the electrode sheet ES corresponding to the inspection data ID and the raw inspection data RID.

[0063] According to an exemplary embodiment, coordinate-related inspection data CID can be provided by calibrating coordinate data CD collected at the same time as inspection data ID based on offset length OD and associating the calibrated coordinate data CD with inspection data ID. The coordinate-related inspection data CID can include a site ID indicating the location of secondary battery manufacturing equipment 100, a process ID indicating the process performed on electrode sheet ES, an inspector name (or ID) for identifying equipment inspector 130, the lot number of electrode sheet ES (or the lot number of second electrode roll ER2), the type of defect, the order of the defect, and the date and time of generation of raw inspection data RID.

[0064] A plurality of guide rolls for defining the movement path of the electrode sheet ES may be interposed between the sensing unit 131 and the rewinder 113. Thus, the offset length OD may be defined as the length of the electrode sheet ES interposed between the portion of the electrode sheet ES sensed by the sensing unit 131 and the rewinder 113. The offset length OD may be the same as the linear distance between the sensing unit 131 and the rewinder 113, or may be longer than the linear distance between the sensing unit 131 and the rewinder 113.

[0065] According to an exemplary embodiment, the processor 135 can be configured to match the raw inspection data RID with the coordinate data CD to provide raw inspection data CRID associated with the coordinates. The raw inspection data CRID associated with the coordinates can 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 type of defect, a sequence of the defect, a date and time of generation of the raw inspection data RID, and the raw inspection data RID.

[0066] The processor of the measuring instrument 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 associate 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. Examples of measurement data processing can 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 example, a trigger point for processing the measurement data can be completion of scanning. The coordinate-related measurement data can include a representative value of the raw measurement data and the corresponding start and end coordinates of a section of the electrode sheet ES. The coordinate-related measurement data can further include a timestamp indicating the date and time the raw measurement data was collected, a measuring instrument ID, and an equipment ID.

[0067] The measurement data can be processed in a set manner to determine judgment values ​​for multiple sections of the electrode sheet ES. If the measured amount of coating material on the electrode sheet ES (e.g., the loading amount on the electrode sheet ES or the thickness of the electrode sheet ES) is within a set range including an upper limit and a lower limit, the corresponding portion of the electrode sheet ES can be determined to be a good product. If the measured amount of coating material on the electrode sheet ES (e.g., the loading amount 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 to be defective.

[0068] As another example, a measurement value (or representative value) within a first range can be determined to be normal, a measurement value (or representative value) within a second range greater than the first range can be determined to be excessive, a measurement value (or representative value) within a third range greater than the second range can be determined to be very excessive, a measurement value (or representative value) within a fourth range less than the first range can be determined to be insufficient, and a measurement value (or representative value) within a fifth range less than the fourth range can be determined to be very insufficient.

[0069] Here, if the lower limit of the second range is equal to or greater than the upper limit of the first range, the second range is greater than the first range. Similarly, if the upper limit of the fourth range is equal to or less than the lower limit of the first range, the fourth range is smaller than the first range.

[0070] The processor 135 can be configured to transmit the test data CID associated with the coordinates to the first controller 141. The first controller 141 can be configured to transmit the test data CID associated with the coordinates to the second controller 143. In another example, the first controller 141 can receive the test data ID from the processor 135, and the first controller 141 can be configured to generate (or collect) the test data CID associated with the coordinates based on the test data ID and the coordinate data CD.

[0071] 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, without being limited thereto, the first controller 141 may also transmit the compressed measurement data and the coordinate-related inspection data CID directly to the roll map generator 200.

[0072] 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 and interrupting the unwinder 111, the rewinder 113, and the processing mechanism 115. The signals for operating and interrupting the unwinder 111, the rewinder 113, and the processing mechanism 115 can be generated based on the electrode specification data ESD, the compressed measurement data, the test data ID, and the additional test and measurement signals.

[0073] The processor 135 can be configured to transmit the raw inspection data CRID associated with the coordinates to the server 230. Communication between the server 230 and the processor 135 can be, but is not limited to, a message transmission method.

[0074] The role 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 role maps and intermediate role maps, storing role maps and intermediate role maps, storing raw inspection data CRID associated with coordinates, and relaying communications between the servers 210, 220, 230, 240, and 250. Unlike the illustration of FIG. 1 , some of the servers 210, 220, 230, 240, and 250 may be integrated. For example, the servers 220 and 240 may be integrated into a single server, or the servers 220, 240, and 250 may be integrated into a single server.

[0075] The roll map generator 200 can be configured to generate a roll map including data related to the electrode sheet ES. The roll map can represent the electrode sheet ES based on coordinates indicating positions on the electrode sheet ES. As described above, processes for manufacturing a secondary battery can be performed on the electrode sheet ES. The roll map represents a history of processes performed on the electrode sheet ES and can include data related to the coordinates. This allows the roll map to enable feedback, feedforward, and tracking of the manufacturing process of the secondary battery, as described below.

[0076] The roll map can include event data representing events in the roll-to-roll process of the electrode sheet ES. Event data (e.g., inspection data ID) generally occurs as the process progresses, and is therefore time-series data. As a result, data on process events can include values ​​representing events and their corresponding time values. Time-series data can be ordered temporally. Temporal ordering is a key characteristic of time-series data, and it organizes events in the order in which they occur and arrive for processing. That is, time-series data can be sorted based on the time at which an event occurred (i.e., the time at which an inspection or measurement was performed or a process action was taken), and events can be matched with time values.

[0077] The manufacturing of secondary batteries involves a series of distinct processes, with leading processes affecting subsequent processes. Feedforward refers to correcting subsequent processes based on data generated according to the results of a leading process. In this case, if the time series data of a leading process is not directly matched with the real-world workpiece, semi-finished product, and finished product, it is difficult to reflect the time series data of the leading process in the subsequent process. Here, the term "workpiece" refers to an article provided as the result of each process, such as the electrode sheet ES after the coating process, roll pressing process, and slitting process shown in FIG. 1. The semi-finished product may refer to one of a separator, an electrode, or an assembly thereof cut by a notching process. The semi-finished product may also be a structure including a housing and an electrode assembly housed in the housing (in some cases, the structure may further include an electrolyte). The product refers to an article that has been processed to operate as a secondary battery through an activation process. The above definitions of workpiece, semi-finished product, and finished product relate to one aspect of each and do not exclude their usual definitions.

[0078] For feedforward, time-series data must be associated with the positions of images of workpieces, parts, semi-finished products, and finished products in the real world. In roll mapping, time-series data such as measurement data can be associated with coordinate data CD based on the movement amount of the electrode sheet ES (i.e., either the winding amount or the unwinding amount). Roll mapping can associate time-series data with coordinate data including coordinates indicating the positions of images of workpieces, parts, semi-finished products, and finished products in the real world. This allows roll map generation and roll map-based feedforward to achieve improved production efficiency and quality by quantifying and objectifying process aspects that previously relied on operator discretion.

[0079] The roll map may be generated on a lot-by-lot basis. The electrode sheet ES is wound around the second electrode roll ER2, and after reaching a target winding amount, the second electrode roll ER2 may be cut and separated from the electrode sheet ES connected to the first electrode roll ER1. A lot is a production unit in a roll-to-roll process, and the second electrode roll ER2 separated from the electrode sheet ES is an example of a lot. Accordingly, the server 220 may be configured to store a roll map of a previous process. The roll map of the previous process may correspond to the first electrode roll ER1. The server 220 may also be configured to generate and store a roll map of a current process. The roll map of the current process may correspond to the second electrode roll ER2.

[0080] The roll map of a previous lot can also be used to improve the process for subsequent lots, and such an action can be called process feedback. Process feedback using the roll map can include identifying process conditions and process parameters that result in problems and defects based on the data contained in the roll map.

[0081] Furthermore, as will be described later, roll maps are cumulatively generated for workpieces, parts, semi-finished products, and finished products of a unit process, thereby enabling tracking of the process history of shipped products (e.g., battery cells, battery modules, or battery packs). As an example, a battery cell may include a cell ID formed on an electrode assembly or a case. The cell ID may include lot number and coordinate information of the electrodes and separator included in the battery cell. In other words, the cell ID may be associated with a roll map of the electrodes and separator included in the battery cell. As a result, if an event such as a quality problem occurs in a battery cell that has already been shipped, the collective data history of the manufacturing of the battery cell can be retrieved based on the cell ID.

[0082] The coordinate-related measurement data and coordinate-related inspection data CID may 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 a server for communication based on log data, but is not limited thereto. The server 210 may be a program for communication between the second controller 143 of the manufacturing equipment and the server 220 for manufacturing management. The server 210 may also be embodied in hardware, as described below. The language and protocol of the server 220 may be different 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.

[0083] The server 210 may be configured to convert the electrode specification data ESD transmitted from the server 220 into a language of the second controller 143. The server 210 may also be configured to convert the coordinate-related measurement data and the coordinate-related inspection data CID into a 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.

[0084] The electrode specification data ESD may include model information and a recipe for the electrode sheet ES. The electrode specification data ESD may include various items related to the processing of the electrode sheet ES, such as the number of lots processed in the current process, the number of land lanes formed on the electrode sheet ES, process conditions including temperature, humidity, and pressure, and process parameters including the moving speed of the electrode sheet ES, the discharge amount of the coating die, and the pressure of the pressure roll.

[0085] In order to control the process, a communication line connecting the second controller 143 and the server 220 via the server 210 can be installed between the second controller 143 and the server 220. As a result, data transmission via the second controller 143 can save resources required for installing a communication line and improve the efficiency of data processing and management compared to a case in which the first encoder 121, the second encoder 123, and the measuring instrument directly transmit the unwinding amount signal UWAS, the winding amount signal WAS, and the measurement signal to the first server 220, and a case in which the first controller 141 directly transmits measurement data related to coordinates to the server 220.

[0086] The server 220 can be configured to generate a roll map. The roll map can include data regarding lot specifications, such as the lot number, the length of the rolled electrode sheet ES, the width of the electrode sheet ES, and the materials and compositions used in processing the electrode sheet ES.

[0087] According to an exemplary embodiment, server 220 may be a data processing system that supports various activities required to manage the production of secondary batteries, such as work schedule management, work instructions, quality control, and work performance aggregation. Server 220 may be, for example, a manufacturing execution system (MES). Server 220 may be configured to perform input, processing, output, and communication of data required for electrode manufacturing processes, such as a coating process, a roll pressing process, and a slitting process.

[0088] Server 230 can be configured to store the raw inspection data CRID associated with the coordinates. Storing the raw inspection data CRID associated with the coordinates can provide additional analysis of the process and insight into process improvements based on the inspection results of inspector 130.

[0089] The server 240 may be configured to store raw measurement data. The server 240 may be configured to load coordinate-related test data CID from the server 220 and load coordinate-related raw test data CRID from the server 230 based on a request RQ from the client device 300. The server 240 may be configured to generate an API request AR for loading coordinate-related test data CID and coordinate-related raw test data CRID based on a request RQ from the client device 300.

[0090] More specifically, the request RQ can be generated by inputting search parameters for generating the API request AR. The search parameters can include a site name (or site ID) indicating the site where the equipment is installed, a process name (or process ID) indicating the process (e.g., any one of coating, roll pressing, slitting, and laminating and stacking), a lot ID of the electrode sheet ES (or second electrode roll ER2), a project name (or project ID) indicating the project (or product) to be produced, and a production period.

[0091] Server 240 may be configured to transmit an API request AR to server 220 and server 230. Server 220 may be configured to transmit test data CID associated with coordinates to server 240 in response to the API request AR of server 240. Server 230 may be configured to transmit raw test data CRID associated with coordinates to server 240 in response to the API request AR of server 240.

[0092] The server 240 can be configured to compare and match the test data CID associated with the coordinates with the raw test data CRID associated with the coordinates. The server 240 can be configured to transmit to the client device 300 a uniform resource locator (URL) (or schema) that includes source code for displaying, at the client device 300, the test data CID associated with the coordinates and the raw test data CRID associated with the coordinates.

[0093] The client device 300 can access source code for displaying the test data CID associated with the coordinates and the raw test data CRID associated with the coordinates via a URL (or schema), thereby allowing the client device 300 to display a comparison and match between the test data CID associated with the coordinates and the raw test data CRID associated with the coordinates.

[0094] Server 240 may also be configured to store and process inspection data CID associated with the coordinates of electrode sheets ES. Server 240 may continuously monitor the processing of electrode sheets ES based on the inspection data to manage the quality of the processing of electrode sheets ES. According to an exemplary embodiment, server 240 may be a statistical process controller (SPC). By collecting and analyzing manufacturing data in near real time, server 240 may identify problem conditions in a timely manner and provide an alarm to an operator before a potential problem occurs.

[0095] Server 250 can be configured to store data from servers 220, 230, and 240. Server 250 can be configured to 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, they may be incompatible for long-term storage of coordinate-related inspection data CID and coordinate-related raw inspection data RCID. Server 250 can be, for example, a data warehouse, and can store coordinate-related metrology data CMD and coordinate-related metrology data for long periods based on, for example, a product's quality warranty period. This can provide tracking of manufacturing processes corresponding to the product lifecycle.

[0096] The client device 300 may transmit a request RQ to the server 250 to inquire about comparison and matching between the test data CID associated with the coordinates and the raw test data CRID associated with the coordinates. The server 250 may be configured to search for the test data CID associated with the coordinates and the raw test data CRID associated with the coordinates in response to the request from the client device 300. The server 250 may be configured to compare and match the test data CID associated with the coordinates and the raw test data CRID associated with the coordinates. The server 250 may be configured to transmit to the client device 300 a uniform resource locator (URL) (or schema) including source code for displaying the test data CID associated with the coordinates and the raw test data CRID associated with the coordinates in the client device 300.

[0097] Each of the servers 240, 250 can be configured to generate an intermediate role map based on a request from the client device 300. The intermediate role map provides a match between the raw test data CRIDs associated with the coordinates and the test data CIDs associated with the coordinates. According to an exemplary embodiment, as described below, the match between the raw test data CRIDs associated with the coordinates and the test data CIDs associated with the coordinates can be automatically monitored, thereby improving the reliability of the intermediate role map.

[0098] The processors 133, 135 and the servers 210, 220, 230, 240, and 250 may be implemented using hardware, firmware, software, or a combination thereof. For example, the processors 133, 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, 135 and the servers 210, 220, 230, 240, and 250 may also include any one of a simple controller, a complex processor such as a microprocessor, a CPU, or a GPU, a software-configured processor, or dedicated hardware and firmware. The processors 133, 135 and the servers 210, 220, 230, 240, and 250 may be implemented using general-purpose computers or application-specific hardware such as a digital signal processor (DSP), a field programmable gate array (FPGA), and an application-specific integrated circuit (ASIC).

[0099] Because the server 220 stores and processes much data related to general manufacturing control other than the roll map, the roll map stored on the server 220 may include simplified and compressed measurement data instead of coordinate-related measurement data CMD containing raw measurement data. The server 220 can provide the roll map in response to a request from the client device 300. The client device 300 can display intermediate roll map data d2 as shown in FIGS. 3 and 4.

[0100] The client device 300 may be any device for communicating with the role map generator 200, such as a workstation computer, a notebook computer, a laptop computer, a desktop computer, a mobile device such as a tablet or a smartphone, or a wearable device. The client device 300 may be configured to generate a request RQ for loading test data CID associated with coordinates and raw test data CRID associated with coordinates. The client device 300 may be configured to transmit the request RQ to the role map generator 200. The client device 300 may include an input tool for inputting the request RQ and a display device for displaying the screen SCR of FIG. 3.

[0101] Although coordinate-related inspection data CID provides information about the occurrence of defects, it is difficult to obtain additional insights into failure analysis from the coordinate-related inspection data CID. Because the coordinate-related raw inspection data CRID contains information about the actual nature of the defects, analysis of the coordinate-related raw inspection data CRID is a key element in improving yield and productivity in secondary battery manufacturing. According to an exemplary embodiment, by automatically checking a match between the coordinate-related inspection data CID and the coordinate-related raw inspection data CRID, access to problems occurring in secondary battery manufacturing can be improved.

[0102] The servers 210, 220, 230, 240, and 250 may include physical servers or cloud servers. The servers 210, 220, 230, 240, and 250 may provide data and analysis results to operators through various frameworks. The frameworks may include protocols that support data transmission so that the client device 300 can visualize data through a user interface and provide updated visualizations as new data is calculated by the servers 220 and 230. The protocols that support data transmission may use HTML, JavaScript, and / or JSON.

[0103] The servers 210, 220, 230, 240, and 250 can include various APIs (Application Programming Interfaces) for storing data in databases and other data management tools. The APIs can also be used to retrieve data in the databases of the various data management systems. The data management systems can provide access to the databases, pull data from the databases, retrieve data, and generate metrics, where metrics are tools for visualizing data. Metrics include measurements generated over time and can be used to monitor applications and generate status alerts.

[0104] According to some embodiments, the operations of processors 133, 135 and servers 210, 220, 230, 240, 250 may be embodied as instructions stored on a machine-readable medium that can be read and executed by one or more processors. Here, a machine-readable medium may include any mechanism for storing and / or transmitting information in a form readable by a machine (e.g., a computing device). For example, a machine-readable medium may include read-only memory (ROM), random access memory (RAM), magnetic disk storage media, optical storage media, flash memory, electrical, optical, acoustical, or other forms of radio signals (e.g., carrier waves, infrared signals, digital signals, etc.), and any other signals.

[0105] The processors 133, 135 and the servers 210, 220, 230, 240, and 250 may be configured with firmware, software, routines, and instructions to perform the operations described above or any of the steps described below. For example, the processors 133, 135 and the servers 210, 220, 230, 240, and 250 may be instantiated in memory.

[0106] However, this is for convenience of explanation, and the operations of the processors 133, 135 and servers 210, 220, 230, 240, 250 described above may be caused by a computing device, a distributed computing device, a processor, firmware, software, routines, instructions, or other device executing the same.

[0107] The secondary battery manufacturing system 10 may implement a plug-in architecture together with an API for data acquisition to provide plug-and-play connection of the measuring instrument, the inspection instrument 130, and additional measuring instruments and inspection instruments, thereby allowing resources at a particular process step and a particular site to be easily transferred to other processes and other sites, or new resources to be easily introduced to each process step and site.

[0108] The data network between elements of the secondary battery manufacturing system 10 can include various types of communication channels, including unidirectional, bidirectional wired, and wireless communication. As an example, the data network can include industrial protocol networks such as OPC, Modbus, ProfiNet, etc. The communication channel can be a dedicated conduit communication such as USB (Universal Serial Bus), IEEE 802 (Ethernet), IEEE 1394 (FireWire), or other high-speed data communication standards.

[0109] In some embodiments, the roll map generator 200 can further include a manual input system that allows an operator to input manufacturing data. The roll map generator 200 can allow operator data entry using an input tool and computer-based input of manufacturing data, such as Excel file scraping.

[0110] The architecture configured to generate the roll map and intermediate roll map can be implemented by adding only the first controller 141 to the essential elements of a modern process control system. That is, the system according to the exemplary embodiment can utilize resources already installed at the manufacturing site, thereby saving additional capital expenditures. Furthermore, by applying the same architecture as existing manufacturing facilities to newly constructed manufacturing facilities, it is possible to improve the reliability of secondary battery manufacturing, identify / improve problematic processes, and introduce new processes efficiently.

[0111] (Second embodiment) FIG. 2 is a flowchart illustrating a method for manufacturing a secondary battery according to an exemplary embodiment.

[0112] 1 and 2, in P110, coordinate-related test data CID and coordinate-related raw test data CRID can be collected. The collection of coordinate-related test data CID and coordinate-related raw test data CRID can be triggered by test data ID indicating a surface defect on the electrode sheet ES. If the test data ID determined by processing the raw test data RID indicates that there is a surface defect, processor 133 can transmit the raw test data RID and the test data ID to processor 135. Processor 135 can provide coordinate-related test data CID and coordinate-related raw test data CRID by matching the raw test data RID with coordinate data CD.

[0113] Subsequently, the test data CID associated with the coordinates and the raw test data CRID associated with the coordinates can be stored in P120. The test data CID associated with the coordinates can be stored in server 220, and the raw test data CRID associated with the coordinates can be stored in server 230.

[0114] FIG. 3 shows the screen SCR of the display device of the client device 300.

[0115] 1 to 3, in P130, matching between the coordinate-associated test data CID and the coordinate-associated raw test data CRID can be monitored. Monitoring the matching between the coordinate-associated test data CID and the coordinate-associated raw test data CRID can include comparing the inspector ID, lot ID, defect order, and coordinates of the coordinate-associated test data CID and the coordinate-associated raw test data CRID that originate from the same portion of the electrode sheet ES (i.e., originate from the same raw test data RID). In this case, matching of coordinates takes into consideration the tolerance. That is, if the difference between the coordinates of the coordinate-associated test data CID and the coordinate-associated raw test data CRID is within the tolerance range, it can be determined that the coordinates of the coordinate-associated test data CID and the coordinate-associated raw test data CRID match.

[0116] The screen SCR may include a first region R1, a second region R2, a third region R3, and a fourth region R4. As shown in Fig. 3, the first region R1, the second region R2, the third region R3, and the fourth region R4 may be displayed simultaneously within the screen SCR, but are not limited thereto.

[0117] A user (e.g., a worker or engineer) of the client device 300 can input search parameters in the first area R1. The search parameters may include a site ID, a process ID, a facility ID, a lot ID, a project name, etc.

[0118] The second area R2 lists the test data CID associated with the coordinates retrieved by the search parameters and the raw test data CRID associated with the coordinates, sorted by lot ID. When the user selects one of the lists in the second area R2 (one of the lot IDs), the third area R3 displays the test data CID associated with the coordinates derived from the electrode sheet ES (or the second electrode roll ER2) corresponding to the selected lot ID, and the fourth area R4 displays the raw test data CRID associated with the coordinates derived from the electrode sheet ES (or the second electrode roll ER2) corresponding to the selected lot ID.

[0119] Monitoring for matching between the test data CID associated with the coordinates and the raw test data CRID associated with the coordinates can be triggered by entering search parameters and selecting a lot ID. Matching between the test data CID associated with the coordinates and the raw test data CRID associated with the coordinates can be monitored by server 230 or by server 250. Server 230 and server 250 can display matching between the test data CID associated with the coordinates and the raw test data CRID associated with the coordinates.

[0120] Server 230 and server 250 can be configured to determine whether the inspector ID, defect order, and coordinates of the inspection data CID associated with the coordinates and the raw inspection data CRID associated with the coordinates match or mismatch. Server 230 and server 250 can be configured to display the inspector ID, defect order, and coordinates of the inspection data CID associated with the coordinates and the raw inspection data CRID associated with the coordinates to determine whether the inspector ID, defect order, and coordinates match or mismatch.

[0121] (Third embodiment) FIG. 4 shows a secondary battery manufacturing system 11 according to another exemplary embodiment.

[0122] Referring to FIG. 4, the secondary battery manufacturing system 11 may include a secondary battery manufacturing facility 101, a roll map generator 200, and a client device 300.

[0123] The secondary battery manufacturing equipment 101 may be configured to perform a secondary battery manufacturing process. The secondary battery manufacturing equipment 101 may include an unwinder 111, a rewinder 113, a processing mechanism 115, a first encoder 121, a second encoder 123, an inspector 130, a first controller 141, and a second controller 143.

[0124] That is, the secondary battery manufacturing equipment 101 does not need to include the processor 135 of Fig. 1. As a result, the processor 133 of the inspector 130 can 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.

[0125] The present invention has been described in more detail above with reference to the drawings and embodiments, etc. However, the configurations shown in the drawings or embodiments in this specification are merely one embodiment of the present invention and do not represent all of the technical ideas of the present invention, and therefore, at the time of filing this application, there may be various equivalents and modifications that can replace them. [Explanation of symbols]

[0126] 10 Secondary battery manufacturing system 11 Secondary battery manufacturing system 111 Unwinder 113 Rewinder 115 Processing Mechanism 121 1st Encoder 123 Second Encoder 130 Inspection equipment 131 Sensing unit 131P processor 133 processors 135 processors 141 First Controller 143 Second Controller 200 Role Map Generator 210 Server 220 Server 230 Server 240 servers 250 servers 300 client devices CD coordinate data CID Inspection Data CMD measurement data CRID test data ER1 First electrode roll ER2 Second electrode roll ES electrode sheet ESD electrode specification data PC Master R1 1st area R2 2nd area R3 3rd area R4 4th area RCID inspection data RID inspection data UWAS Unwinding amount signal WAS Winding amount signal

Claims

1. loading inspection data associated with coordinates of an electroded sheet and raw inspection data associated with coordinates, the raw inspection data associated with coordinates including an image of a portion of the electroded sheet and coordinates of the portion of the electroded sheet, and the inspection data associated with coordinates including a determination of surface defects on the portion of the electroded sheet and the coordinates of the portion of the electroded sheet; and A method of manufacturing a secondary battery, comprising the step of monitoring a match between inspection data associated with the coordinates and raw inspection data associated with the coordinates.

2. 2. The method for manufacturing a secondary battery of claim 1, wherein the step of monitoring a match between the inspection data associated with the coordinates and the raw inspection data associated with the coordinates includes comparing the coordinates of the portion of the electrode sheet in the raw inspection data associated with the coordinates with the coordinates of the portion of the electrode sheet in the inspection data associated with the coordinates.

3. 2. The method for manufacturing a secondary battery of claim 1, wherein the step of monitoring the matching between the inspection data associated with the coordinates and the raw inspection data associated with the coordinates includes determining that the matching between the raw inspection data associated with the coordinates and the inspection data associated with the coordinates is normal when a difference between the coordinates of the portion of the electrode sheet in the raw inspection data associated with the coordinates and the coordinates of the portion of the electrode sheet in the inspection data associated with the coordinates is within an allowable error range.

4. the raw test data associated with the coordinates and the test data associated with the coordinates include an tester ID that indicates an tester configured to test the portion of the electrode sheet; 2. The method for manufacturing a secondary battery of claim 1, wherein the step of monitoring a match between the inspection data associated with the coordinates and the raw inspection data associated with the coordinates includes comparing the inspector ID of the raw inspection data associated with the coordinates with the inspector ID of the inspection data associated with the coordinates.

5. the raw inspection data associated with the coordinates and the inspection data associated with the coordinates include a defect order indicating an order of defects in the electrode sheet; The method for manufacturing a secondary battery described in any one of claims 1 to 4, wherein the step of monitoring a match between the inspection data associated with the coordinates and the raw inspection data associated with the coordinates includes comparing the failure order of the raw inspection data associated with the coordinates with the failure order of the inspection data associated with the coordinates.

6. The method for manufacturing a secondary battery according to claim 5 , wherein the order of defects varies for each of the testers.

7. 2. The method for manufacturing a secondary battery of claim 1, wherein monitoring the matching of the inspection data associated with the coordinates and the raw inspection data associated with the coordinates is triggered by loading the inspection data associated with the coordinates and the raw inspection data associated with the coordinates.

8. a server configured to load test data associated with coordinates of an electrode sheet and raw test data associated with the coordinates, and to monitor a match between the test data associated with the coordinates and the raw test data associated with the coordinates; the coordinate-related raw test data includes an image of a portion of the electroded sheet and coordinates of the portion of the electroded sheet; The inspection data relating to the coordinates includes a determination of surface defects of the portion of the electrode sheet and the coordinates of the portion of the electrode sheet.

9. 9. The secondary battery manufacturing system of claim 8, wherein monitoring a match between the inspection data associated with the coordinates and the raw inspection data associated with the coordinates includes comparing the coordinates of the portion of the electrode sheet in the raw inspection data associated with the coordinates with the coordinates of the portion of the electrode sheet in the inspection data associated with the coordinates.

10. 9. The secondary battery manufacturing system of claim 8, wherein monitoring the matching between the inspection data associated with the coordinates and the raw inspection data associated with the coordinates includes determining that the matching between the raw inspection data associated with the coordinates and the inspection data associated with the coordinates is normal when a difference between the coordinates of the portion of the electrode sheet in the raw inspection data associated with the coordinates and the coordinates of the portion of the electrode sheet in the inspection data associated with the coordinates is within an acceptable range.

11. the raw test data associated with the coordinates and the test data associated with the coordinates include an tester ID that indicates an tester configured to test the portion of the electrode sheet; 9. The secondary battery manufacturing system of claim 8, wherein monitoring a match between the inspection data associated with the coordinates and the raw inspection data associated with the coordinates includes comparing the inspector ID of the raw inspection data associated with the coordinates with the inspector ID of the inspection data associated with the coordinates.

12. the raw inspection data associated with the coordinates and the inspection data associated with the coordinates include a defect order indicating an order of defects in the electrode sheet; A secondary battery manufacturing system as described in any one of claims 8 to 11, wherein monitoring the matching between the inspection data associated with the coordinates and the raw inspection data associated with the coordinates includes comparing the failure order of the raw inspection data associated with the coordinates with the failure order of the inspection data associated with the coordinates.

13. 9. The secondary battery manufacturing system of claim 8, wherein monitoring a match between the inspection data associated with the coordinates and the raw inspection data associated with the coordinates is triggered by loading the inspection data associated with the coordinates and the raw inspection data associated with the coordinates.

Images