Digital production control system for processing negative electrode composite material of metal lithium solid-state battery

Abstract

The invention discloses a digital production control system for processing a negative electrode composite material of a metal lithium solid-state battery, and relates to the technical field of digital production, and the system comprises a digital production control main node module which is used for connecting a plurality of production process auxiliary node modules and synchronizing real-time data transmitted by the production process auxiliary node modules; the production process auxiliary node module is used for collecting real-time data of the production process in the processing process of the metal lithium solid-state battery cathode composite material and summarizing the real-time data to the digital production control main node module; the synchronous monitoring module is used for judging whether the delay condition of synchronous data between the digital production control main node module and the production process auxiliary node module is abnormal or not, and if the delay time is abnormal, the synchronous control module is called; and the synchronous control module is used for realizing synchronous frequency adjustment when the delay time of the synchronous data is abnormal. The digital production level can be enhanced, and the product quality and yield can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of digital production, and specifically to a digital production control system for processing a negative electrode composite material of a lithium metal solid-state battery. Background Art

[0002] The rapid development of consumer electronics, electric vehicles, and smart grids has put forward higher performance requirements for current electrochemical energy storage systems. Limited by electrode matching, liquid electrolyte components, and battery structures, using lithium metal as the negative electrode composite material of a solid-state battery to balance high energy density and high safety has become a hot research direction for new electrochemical energy storage devices.

[0003] With the continuous development of mobile communication technology, in the process of integrating a lithium battery intelligent production line and 5G network data transmission, due to the complexity and precision of the processing technology of the negative electrode composite material of a lithium metal solid-state battery, in multiple processes such as regulating DC current, sputtering distance, substrate temperature, treating oxide electrolyte sheets, and preparing polymer electrolyte slurries, data synchronization anomalies are likely to occur at the main and secondary process nodes, resulting in problems such as a decrease in conductivity during the preparation process. Summary of the Invention

[0004] The purpose of the present invention is to provide a digital production control system for processing a negative electrode composite material of a lithium metal solid-state battery to solve the problems raised in the prior art.

[0005] To achieve the above purpose, the present invention provides the following technical solution: A digital production control system for processing a negative electrode composite material of a lithium metal solid-state battery, the system includes: A digital production control master node module, used to connect several production process sub-node modules and synchronize the real-time data transmitted by the production process sub-node modules; A production process sub-node module, used to collect the real-time data of the production process during the processing of the negative electrode composite material of a lithium metal solid-state battery and summarize it to the digital production control master node module; A synchronization monitoring module, used to determine whether the delay of the synchronization data between the digital production control master node module and the production process sub-node module is abnormal. If there is an abnormal delay time, call the synchronization control module; A synchronization control module, used to adjust the synchronization frequency when the delay time of the synchronization data is abnormal.

[0006] According to the above technical solution, any one of the several production process sub-node modules is connected to a production process sub-node, and only one production process sub-node is connected to the same production process. The real-time data of the production process is transmitted to the digital production control master node module via the production process sub-node module.

[0007] According to the above technical solution, the production process includes: The Li+ migration process, including the extraction of Li+ from the cathode material and its migration through the electrolyte to the interface; The electrolyte reaction process, including obtaining electrons at the interface and setting the electrolyte to react to form a stable SEI film, which ensures the stable operation of Li+ in the aprotic electrolyte; The free diffusion process, including the nucleation and growth of Li metal under the SEI film and free bulk diffusion; The negative electrode side modification process, which is used to solve the problem of lithium dendrites piercing the SEI film formed due to the deposition of Li+.

[0008] According to the above technical solution, the determination of the delay situation of the synchronous data between the digital production control main node module and the production process sub-node module includes: Obtaining the request data time value of the digital production control main node module ; Obtaining the synchronous transmission data time value of the production process sub-node module ; In the actual request process, the digital production control main node module preferentially requests to send data, and then the production process sub-node module synchronously transmits data after receiving the request. Due to the network delay limitation of device data, less than , such as equal to , then the synchronous transmission is 0-delay; Based on the difference between the synchronous transmission data time value and the request data time value , a delay time value is formed, and a processing model of the delay time is constructed to determine whether the delay situation represented by the delay time value is abnormal.

[0009] According to the above technical solution, the processing model of the delay time includes: Retrieving a number of historical delay times corresponding to the production process sub-node based on historical big data; Performing sequence matching from small to large based on a number of historical delay times to form a sequence , where represent the delay times from small to large respectively; If there exists , then it is determined that the delay time value does not belong to the delay abnormal situation, otherwise, it is determined that the delay time value belongs to the delay abnormal situation.

[0010] According to the above technical solution, the synchronous frequency adjustment includes: Preset several synchronous frequencies in the system, randomly extract several synchronous data from the historical database. Any synchronous data includes at least two data characteristics: whether the delay time is normal and the used synchronous frequency. Perform calculation and processing on the several synchronous data: Select any one of the several preset synchronous frequencies in the system and denote it as K; Among the several randomly extracted synchronous data, calculate the probability that the delay time is normal when using the synchronous frequency K, denoted as ; when not using the synchronous frequency K, the probability that the delay time is normal is denoted as ; among the several synchronous data, the probability that the delay time is normal is denoted as ; Form the probability influence P of the synchronous frequency K on the normal delay time:

[0011] Calculate for all synchronous frequencies except the currently used synchronous frequency, and select the synchronous frequency corresponding to the maximum value of the probability influence P as the new synchronous frequency.

[0012] According to the above technical solution, it further includes: A synchronous data detection module, which is used to detect data loss of each production process sub-node after synchronous frequency adjustment when the delay time of the synchronous data is abnormal.

[0013] According to the above technical solution, the data loss detection includes: Respectively obtain the data volume formed by the production process sub-node module and the data volume received by the digital production control main node module. If there is a difference, it is determined that there is data loss.

[0014] According to the above technical solution, it further includes: If only one production process sub-node has data loss, issue a data warning for the production process sub-node with data loss; when several production process sub-nodes have data loss at the same time, construct a data node warning priority.

[0015] According to the above technical solution, the formation of the data node warning priority includes: The system sets warning score characteristics, and the warning score characteristics take values within a preset data range. The values are selected based on the data loss amount of the production process sub-node and the difference in synchronous frequency adjustment, and increase as the data loss amount of the production process sub-node and the difference in synchronous frequency adjustment increase. When the data loss amount of the production process sub-node and the difference in synchronous frequency adjustment are one increasing and one decreasing, the data loss amount of the production process sub-node is used as the main feature for value selection; Form a number of data groups. Any one of the data groups includes the early warning score feature, the data loss amount of the secondary node of the production process, and the synchronization frequency adjustment difference. Take the numerical values of the early warning score feature, the data loss amount of the secondary node of the production process, and the synchronization frequency adjustment difference for linear regression processing to form a regression equation between the early warning score feature and the numerical values of the data loss amount and the synchronization frequency adjustment difference of the secondary node of the production process:

[0016] Among them, Y represents the early warning score feature; 、 respectively represent the linear regression parameters; 、respectively represent the numerical values of the data loss amount and the synchronization frequency adjustment difference of the secondary node of the production process; u represents the constant term; Calculate the early warning score feature of each secondary node of the production process based on the regression equation, and form the data node early warning priority according to the order from large to small of the early warning branch features.

[0017] Compared with the prior art, the beneficial effects of the present invention are as follows: In the digital process of using metallic lithium as the negative composite material of the solid-state battery, the present invention calculates the data synchronization relationship between the production process and the main control node, and forms a digital production control system for the processing of metallic lithium solid-state battery negative composite materials based on the calculation of data synchronization frequency adjustment and data loss amount, which can strengthen the digital process level and improve the product quality acceptance rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic structural diagram of the digital production control system for the processing of metallic lithium solid-state battery negative composite materials of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0019] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0020] Embodiment: As Figure 1 shown, the present invention provides a digital production control system for the processing of metallic lithium solid-state battery negative composite materials, and the system includes: A digital production control main node module, which is used to connect a number of secondary node modules of the production process and synchronize the real-time data transmitted by the secondary node modules of the production process; The production process sub-node module is used to collect the real-time data of the production process in the processing of the negative composite material of the lithium metal solid-state battery and summarize it to the digital production control main-node module; Any one of the several production process sub-node modules is connected to a production process sub-node, and only one production process sub-node is connected to the same production process. The real-time data of the production process is transmitted to the digital production control main-node module through the production process sub-node module.

[0021] The production process includes: The Li+ migration process, which includes the extraction of Li+ from the cathode material and its migration through the electrolyte to the interface; The electrolyte reaction process, which includes obtaining electrons at the interface and setting the electrolyte reaction to generate a stable SEI film, and the SEI film ensures that Li+ can work stably in the aprotic electrolyte; The free diffusion process, which includes the nucleation and growth of Li metal under the SEI film and the free bulk diffusion; The negative electrode side modification process is used to solve the problem that lithium dendrites formed by the deposition of Li+ pierce the SEI film.

[0022] In the above production process, each production process also contains a large number of branch processes. Taking the negative electrode side modification process as an example, three branch cases of the negative electrode side modification process are described, including three branch methods of using physical / chemical deposition modification layers, using polymer coatings, and co-sintering of matrix-surface modification layers.

[0023] For example, generally, a physical / chemical deposition modification layer uses a Li3PO4 target to sputter the LAGP oxide electrolyte under nitrogen to obtain a LiPON layer that is stable to lithium. By adjusting parameters such as the DC current, sputtering distance, and substrate temperature, amorphous LiPON with different thicknesses, morphologies, and growth directions can be obtained. The use of polymer coatings includes a pretreatment node, a configuration node, and a polymerization node, etc.; the pretreatment node refers to the pretreatment of the oxide electrolyte sheet; the configuration node refers to the preparation of the polymer electrolyte slurry, and the slurry is transferred to the surface of the oxide electrolyte by means of doctor blade coating, drop coating, spin coating, etc., and the process is controlled to adjust its thickness; the polymerization node refers to using a solution of polymer monomers and lithium salts, transferring it to the surface of the electrolyte sheet, and then initiating polymerization by light irradiation or heating to obtain a surface polymer. The co-sintering of the matrix-surface modification layer includes mixing the modification layer material, binder, and solvent, transferring it to the surface of the electrolyte sheet by means of screen printing, spin coating, doctor blade coating, etc., and then performing the co-sintering operation.

[0024] The synchronization monitoring module is used to judge whether the delay situation of the synchronization data between the digital production control main-node module and the production process sub-node module is abnormal. If there is an abnormal delay time, the synchronization control module is called; The determination of the delay situation of the synchronous data between the main node module of digital production control and the sub-node module of production process includes: Obtain the request data time value of the main node module of digital production control ; Obtain the synchronous transmission data time value of the sub-node module of production process ; Based on the synchronous transmission data time value and the request data time value to form a delay time value , construct a processing model of the delay time, and judge whether the delay situation represented by the delay time value is abnormal.

[0025] The processing model of the delay time includes: Retrieve a number of historical delay times corresponding to the sub-node of the production process based on historical big data; Perform sequence matching from small to large based on a number of historical delay times to form a sequence , where represent the delay times from small to large respectively; If there exists , then it is determined that the delay time value does not belong to the delay abnormal situation, otherwise, it is determined that the delay time value belongs to the delay abnormal situation.

[0026] The synchronization control module is used to adjust the synchronization frequency when the delay time of the synchronous data is abnormal.

[0027] The synchronization frequency adjustment includes: Preset several synchronization frequencies in the system, randomly extract several synchronous data from the historical database, and any synchronous data includes at least two data characteristics: whether the delay time is normal and the used synchronization frequency. Perform calculation processing on the several synchronous data: Select any one of the several preset synchronization frequencies in the system and denote it as K; Among the several randomly extracted synchronous data, calculate the probability of normal delay time when using the synchronization frequency K and denote it as ; when not using the synchronization frequency K, the probability of normal delay time is denoted as ; among the several synchronous data, the probability of normal delay time is denoted as ; Form the influence P of the synchronization frequency K on the probability of normal delay time:

[0028] Calculate all synchronization frequencies except the currently used one, and select the synchronization frequency corresponding to the maximum value of the probability impact P as the new synchronization frequency.

[0029] It also includes: A synchronization data detection module, which is used to detect data loss of each production process sub-node after adjusting the synchronization frequency when the delay time of the synchronization data is abnormal.

[0030] The data loss detection includes: Respectively obtain the data volume formed by the production process sub-node module and the data volume received by the digital production control main node module. If there is a difference, it is determined that there is data loss.

[0031] It also includes: If only one production process sub-node has data loss, issue a data warning for the production process sub-node with data loss; when several production process sub-nodes have data loss at the same time, construct a data node warning priority.

[0032] The formation of the data node warning priority includes: The system sets warning score characteristics, which are within a preset data range, and the values are selected based on the data loss volume and synchronization frequency adjustment difference of the production process sub-node, and increase as the data loss volume and synchronization frequency adjustment difference of the production process sub-node increase. When the data loss volume and synchronization frequency adjustment difference of the production process sub-node are one increasing and one decreasing, the data loss volume of the production process sub-node is used as the main feature for value selection; Form several data groups. Any data group includes warning score characteristics, data loss volume and synchronization frequency adjustment difference of the production process sub-node. Take the values of the warning score characteristics, data loss volume and synchronization frequency adjustment difference of the production process sub-node for linear regression processing to form a regression equation between the warning score characteristics and the data loss volume and synchronization frequency adjustment difference values of the production process sub-node:

[0033] Among them, Y represents the warning score characteristics; respectively represent the linear regression parameters; respectively represent the data loss volume and synchronization frequency adjustment difference values of the production process sub-node; u represents the constant term; Calculate the warning score characteristics of each production process sub-node based on the regression equation, and form a data node warning priority according to the warning branch characteristics from large to small.

[0034] It is obvious to those skilled in the art that the present invention is not limited to the details of the above-mentioned exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or basic characteristics of the present invention. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be embraced within the present invention. Any reference signs in the claims should not be construed as limiting the claims involved.

Claims

1. A digital production control system for processing the negative electrode composite material of a lithium metal solid-state battery, characterized in that: The system includes: a digital production control master node module for connecting a plurality of production process slave node modules and synchronizing the real-time data transmitted by the production process slave node modules; A production process slave node module for collecting the real-time data of the production process during the processing of the negative composite material of the lithium metal solid-state battery and summarizing it to the digital production control master node module; A synchronization monitoring module for judging whether the delay of the synchronization data between the digital production control master node module and the production process slave node module is abnormal. If there is an abnormal delay time, the synchronization control module is called; A synchronization control module for realizing synchronization frequency adjustment when the delay time of the synchronization data is abnormal.

2. The digital production control system for processing the negative electrode composite material of the lithium metal solid-state battery according to claim 1, wherein: Any one of the plurality of production process slave node modules is connected to a production process slave node, and only one production process slave node is connected to the same production process. The real-time data of the production process is transmitted to the digital production control master node module through the production process slave node module.

3. The digital production control system for processing the negative electrode composite material of the lithium metal solid-state battery according to claim 2, wherein: The production process includes: The Li+ migration process, including the extraction of Li+ from the positive electrode material and its migration through the electrolyte to the interface; The electrolyte reaction process, including obtaining electrons at the interface and setting the electrolyte reaction to generate a stable SEI film, and the SEI film ensures that Li+ can work stably in the aprotic electrolyte; The free diffusion process, including the nucleation and growth of Li metal under the SEI film and the free bulk diffusion; The negative electrode side modification process for solving the problem of lithium dendrites piercing the SEI film formed by the deposition of Li+.

4. The digital production control system for processing the negative electrode composite material of the lithium metal solid-state battery according to claim 1, wherein: The judgment of the delay of the synchronization data between the digital production control master node module and the production process slave node module includes: Obtain the request data time value of the digital production control master node module ; Obtain the synchronous transmission data time value of the production process sub-node module ; Based on the synchronous transmission data time value and the requested data time value to form a delay time value , construct a processing model for the delay time, and judge whether the delay situation represented by the delay time value is abnormal.

5. The digital production control system for processing the negative electrode composite material of the lithium metal solid-state battery according to claim 4, wherein: The processing model of the delay time includes: Retrieving a plurality of historical delay times corresponding to the production process slave node based on historical big data; Perform sequence matching from small to large based on several historical delay times to form a sequence , where represent the delay times from small to large respectively, and n represents the quantity serial number; If there exists , then it is determined that the delay time value does not belong to the delay abnormal situation. Otherwise, it is determined that the delay time value belongs to the delay abnormal situation.

6. The digital production control system for processing the negative electrode composite material of a lithium metal solid-state battery according to claim 1, wherein: The synchronization frequency adjustment includes: A plurality of synchronization frequencies are preset in the system. A plurality of synchronization data are randomly selected from the historical database. Any synchronization data includes at least two data characteristics: whether the delay time is normal and the synchronization frequency used. The plurality of synchronization data are calculated and processed: Among the plurality of synchronization frequencies preset in the system, any one synchronization frequency is selected and denoted as K; Among a number of randomly selected synchronization data, calculate the probability of normal delay time when the synchronization frequency K is used, denoted as ; when the synchronization frequency K is not used, the probability of normal delay time is denoted as ; among a number of synchronization data, the probability of normal delay time is denoted as ; Forming the probability influence P of the synchronization frequency K on the normal delay time; Calculate all synchronization frequencies other than the currently used synchronization frequency, and select the synchronization frequency corresponding to the maximum value of the probability influence P as the new synchronization frequency.

7. The digital production control system for processing the negative electrode composite material of the lithium metal solid-state battery according to claim 1, wherein: It further includes: A synchronization data detection module for performing data loss detection on each production process slave node after the synchronization frequency is adjusted when the delay time of the synchronization data is abnormal.

8. The digital production control system for processing the negative electrode composite material of a lithium metal solid-state battery according to claim 7, characterized in that: The data loss detection includes: Respectively obtaining the data volume formed by the production process slave node module and the data volume received by the digital production control master node module. If there is a difference, it is judged that there is data loss.

9. The digital production control system for processing the negative electrode composite material of the lithium metal solid-state battery according to claim 7, wherein: It further includes: If only one production process slave node has data loss, a data warning is issued for the production process slave node with data loss; When data loss occurs simultaneously in a plurality of production process slave nodes, a data node warning priority is constructed.

10. The digital production control system for processing the negative electrode composite material of the lithium metal solid-state battery according to claim 9, characterized in that: The formation of the data node warning priority includes: The system sets the early warning score feature, and the early warning score feature takes values within a preset data range. The value selection is based on the difference between the data loss amount and the synchronization frequency adjustment of the secondary node of the production process, and increases as the difference between the data loss amount and the synchronization frequency adjustment of the secondary node of the production process increases. When the data loss amount and the synchronization frequency adjustment of the secondary node of the production process are in a situation where one increases and the other decreases, the data loss amount of the secondary node of the production process is used as the main feature for value selection; Several data groups are formed. Any one data group includes the early warning score feature, the difference between the data loss amount and the synchronization frequency adjustment of the secondary node of the production process. The values of the early warning score feature, the data loss amount and the synchronization frequency adjustment of the secondary node of the production process are taken for linear regression processing, and a regression equation between the early warning score feature and the data loss amount and the synchronization frequency adjustment of the secondary node of the production process is formed: Among them, Y represents the early warning score feature; and respectively represent the linear regression parameters; and respectively represent the data loss amount of the production process sub-node and the numerical value of the synchronization frequency adjustment difference; u represents the constant term; Based on the regression equation, the early warning score feature of each secondary node of the production process is calculated, and the data node early warning priority is formed according to the descending order of the early warning branch feature.

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