Lithium ion spraying diaphragm flow monitoring device and method

Abstract

The invention discloses a lithium ion spraying diaphragm flow monitoring device which is suitable for a nozzle pipeline and comprises a sensor, the sensor is connected with a data acquisition unit, the data acquisition unit is connected with a central processing unit, the central processing unit is connected with a control unit, and the sensor is used for monitoring flow data in the nozzle pipeline in real time. And the data acquisition unit is used for acquiring flow data from the sensor and converting the flow data into a format which can be further processed and analyzed by the central processing unit. According to the lithium ion spraying diaphragm flow monitoring device, the flow monitoring device integrating the sensor, the data acquisition unit, the central processing unit and the control unit is adopted, the spraying flow is monitored and adjusted in real time, accurate control over the diaphragm spraying process is achieved, accurate monitoring and timely correction of the spraying flow are ensured, and the working efficiency is improved. Therefore, the uniformity and consistency of the diaphragm are effectively improved, and the quality of the final diaphragm layer is improved.

Description

Technical Field

[0001] The invention relates to the technical field of lithium ion battery manufacturing, and in particular to a lithium ion spraying diaphragm flow monitoring device and method. Background Art

[0002] Lithium-ion battery is a secondary battery, i.e. a rechargeable battery, which mainly relies on the movement of lithium ions between the positive electrode and the negative electrode to work. During the charging and discharging process, Li+ is embedded and de-embedded between the two electrodes. During charging, Li+ is de-embedded from the positive electrode and embedded into the negative electrode through the electrolyte, and the negative electrode is in a lithium-rich state. The opposite is true during discharging. In lithium-ion batteries, the quality and performance of the separator are the core factors that determine the overall performance and safety of the battery.

[0003] As a key technology to improve the uniformity and consistency of the diaphragm, the essence of the lithium-ion spraying diaphragm process lies in the precise control of the spraying flow rate. In this process, the diaphragm material output by the nozzle needs to cover the substrate to form a dense and uniform diaphragm layer. However, the accuracy and response speed of traditional flow monitoring technology are limited. The spraying flow rate of the diaphragm material has poor real-time adjustment capabilities in a rapidly changing production environment, resulting in fluctuations in the quality of the final diaphragm layer. Summary of the invention

[0004] The purpose of the present invention is to solve the above-mentioned problems of the background technology and to provide a lithium ion spraying diaphragm flow monitoring device and method.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A lithium ion spraying diaphragm flow monitoring device, suitable for a nozzle pipeline, comprises: a sensor, the sensor is connected to a data acquisition unit, the data acquisition unit is connected to a central processing unit, the central processing unit is connected to a control unit, the sensor is used to monitor the flow data in the nozzle pipeline in real time, the data acquisition unit is used to collect flow data from the sensor, and convert the flow data into a format that can be further processed and analyzed by the central processing unit, the flow data after the format conversion is standardized data, the central processing unit is used to determine whether the standardized data is abnormal and generate monitoring results, the central processing unit generates an adjustment instruction to the control unit based on the standardized data, the control unit receives the adjustment instruction issued by the central processing unit, and adjusts the flow in the nozzle pipeline.

[0007] As a further solution of the present invention: the central processing unit adopts a microprocessor, and the microprocessor generates a real-time flow estimation value by processing the standardized data. The microprocessor compares and analyzes the real-time flow estimation value with a preset flow standard to generate the adjustment instruction.

[0008] As a further solution of the present invention: the control unit is connected to the nozzle pipeline, the nozzle pipeline is installed with a regulating valve, and the control unit regulates the flow in the nozzle pipeline through the regulating valve.

[0009] As a further solution of the present invention: the central processing unit is connected to a display unit, and the display unit is used to display the real-time flow estimation value and the monitoring result in real time.

[0010] A method for using a lithium ion spray diaphragm flow monitoring device, comprising:

[0011] S1. Open the main valve connected to the nozzle pipe to allow the paint to enter the nozzle pipe and be transported to the nozzle;

[0012] S2, the sensor monitors the paint flow in the nozzle pipe in real time to obtain flow data;

[0013] S3, the data acquisition unit collects the flow data monitored by the sensor and performs format conversion to generate standardized data, and transmits the standardized data to the central processing unit;

[0014] S4, the central processing unit processes the standardized data to generate a real-time flow estimation value, determines whether the real-time flow estimation value is abnormal, and generates a monitoring result;

[0015] S5, based on the abnormal data, the control unit adjusts the flow in the nozzle pipeline, and returns to step S2 after the adjustment until the real-time flow estimation value is in a normal state;

[0016] S6. The display unit displays the real-time flow estimation value and the monitoring result.

[0017] As a further solution of the present invention: in the step S4, the central processing unit processes the standardized data using a mean filtering method.

[0018] As a further solution of the present invention: in the step S4, a flow standard is preset, the preset flow standard is a range value, and the real-time flow estimation value that is greater than the maximum value of the flow standard or less than the minimum value of the flow standard is an abnormal value.

[0019] As a further solution of the present invention: in step S5, the control unit adjusts the flow rate in the nozzle pipeline, specifically comprising the following steps:

[0020] S51, the central processing unit sends an increase or decrease adjustment instruction to the control unit;

[0021] S52, the control unit adjusts the paint flow in the nozzle pipeline through the regulating valve.

[0022] Beneficial effects of the present invention:

[0023] (1) In the present invention, a flow monitoring device integrating a sensor, a data acquisition unit, a central processing unit and a control unit is used to monitor and adjust the spraying flow in real time, thereby achieving precise control of the diaphragm spraying process, ensuring accurate monitoring and timely correction of the spraying flow, thereby effectively improving the uniformity and consistency of the diaphragm and improving the final diaphragm layer quality.

[0024] (2) In the present invention, production anomalies caused by flow fluctuations are effectively avoided, production costs are optimized, energy consumption is reduced, production efficiency and battery performance stability are significantly improved, and the economic benefits of lithium-ion battery manufacturing are improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The present invention will be further described below in conjunction with the accompanying drawings.

[0026] Figure 1 It is a structural schematic diagram of the lithium ion spraying diaphragm flow monitoring device of the present invention;

[0027] Figure 2 It is a flow chart of the method of using the lithium ion spraying diaphragm flow monitoring device of the present invention.

[0028] In the figure: 1. sensor; 2. data acquisition unit; 3. central processing unit; 4. control unit; 5. display unit. DETAILED DESCRIPTION

[0029] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0030] See also Figure 1 As shown, the present invention is a lithium ion spraying diaphragm flow monitoring device, which is suitable for a nozzle pipeline. The monitoring device includes: a sensor 1, the sensor 1 is connected to a data acquisition unit 2, the data acquisition unit 2 is connected to a central processing unit 3, the central processing unit 3 is connected to a control unit 4, and the central processing unit 3 is connected to a display unit 5.

[0031] The sensor 1 is used to monitor the flow data in the nozzle pipeline in real time. The sensor 1 includes but is not limited to an electromagnetic flow sensor, an ultrasonic flow sensor, a turbine flow sensor, and a mass flow sensor. Preferably, an electromagnetic flow sensor is used. The electromagnetic flow sensor uses Faraday's law of electromagnetic induction to calculate the flow rate by measuring the voltage generated when the fluid passes through the electromagnetic field. It has high measurement accuracy and low pressure loss, and is more suitable for the lithium ion spray diaphragm environment.

[0032] The data collection unit 2 is used to collect flow data from the sensor 1 and convert the flow data into a format that can be further processed and analyzed by the central processing unit 3. The flow data after the conversion is standardized data.

[0033] Specifically, the data acquisition unit 2 usually has an interface, and the sensor 1 transmits the flow data signal to the data acquisition unit 2 through the interface. The data acquisition unit 2 also has signal conditioning, including amplification, filtering, conversion and other functions to ensure that the signal obtained by the data acquisition unit 2 from the sensor 1 can remain accurate and stable during the transmission and processing process.

[0034] In addition, an analog-to-digital converter (ADC) is also provided in the data acquisition unit 2 for converting analog signals into digital signals, so as to facilitate the subsequent central processing unit 3 to further process and analyze the standardized data. The data acquisition unit 2 also includes a data processing and storage module, which is convenient for preliminary processing, analysis and storage of the collected flow data, and compressing the flow data and converting its format.

[0035] The data acquisition unit 2 acquires and records the flow data in real time for subsequent analysis, monitoring and optimization.

[0036] Furthermore, the central processing unit 3 is used to determine whether the standardized data is abnormal and generate a monitoring result. The central processing unit 3 generates an adjustment instruction to the control unit 4 based on the standardized data.

[0037] The central processing unit 3 uses a microprocessor, which processes standardized data to generate a real-time flow estimation value. The microprocessor compares and analyzes the real-time flow estimation value with a preset flow standard to generate an adjustment instruction.

[0038] It should be noted that the flow data collected by the data acquisition unit 2 is the actual flow measurement value (i.e., flow data) directly obtained from the sensor 1, which is not equivalent to the real-time flow estimation value, which is the estimation value based on the flow data and other variables monitored by the sensor 1 by the central processing unit 3. The flow data monitored by the sensor 1 is the original data, and the real-time flow estimation value is the data after smoothing, correction processing and analysis by the central processing unit 3.

[0039] The control unit 4 is connected to the nozzle pipeline. The control unit 4 receives the adjustment instruction sent by the central processing unit 3 and adjusts the flow rate in the nozzle pipeline.

[0040] Specifically, the nozzle pipeline is installed with a regulating valve, and the control unit 4 adjusts the flow in the nozzle pipeline through the regulating valve.

[0041] In addition, the central processing unit 3 is also connected to the display unit 5, and the display unit 5 is used to display the real-time flow estimation value and monitoring results in real time.

[0042] The inventors have found that compared with traditional flow monitoring technologies (such as turbine flowmeters, mass flowmeters, float flowmeters, orifice flowmeters), there are limitations such as insufficient accuracy, slow response speed, and difficulty in real-time adjustment.

[0043] In the present application, by integrating the sensor 1, the data acquisition unit 2, the central processing unit 3 and the control unit 4, the accurate monitoring and timely correction of the spray flow can be ensured, thereby effectively improving the uniformity and consistency of the diaphragm, and providing key technical guarantees for the high-quality production of lithium-ion batteries.

[0044] It is understandable that compatibility issues may exist during the integration process. In this application, the compatibility between different system components can be ensured through standardized interfaces, signal format conversion and matching, and data acquisition and processing, so that each component can provide accurate data.

[0045] Moreover, in terms of signal processing, the signal generated by the sensor 1 is amplified and filtered by the data acquisition unit 2 to ensure that the central processing unit 3 can read it accurately. The control unit 4 can quickly respond to the data of the sensor 1 to achieve real-time adjustment of the flow in the nozzle pipeline, thereby speeding up the flow adjustment rate.

[0046] In the present application, integration can improve the stability of the entire device. By optimizing the integration of various components, the stability and reliability of the entire flow monitoring device are improved. The data processing by the data acquisition unit 2 can allow the central processing unit 3 to perform more in-depth and complex data analysis, thereby providing additional insights and optimizing the production process.

[0047] In addition, the present invention aims at the lithium ion spraying diaphragm process, and adopts a flow monitoring device integrating a sensor 1, a data acquisition unit 2, a central processing unit 3 and a control unit 4. By real-time monitoring and adjusting the spraying flow, the diaphragm spraying process is precisely controlled, thereby improving the final diaphragm layer quality.

[0048] See also Figure 2 As shown, a method for using a lithium ion spray diaphragm flow monitoring device comprises:

[0049] S1. Open the main valve connected to the nozzle pipe to allow the paint to enter the nozzle pipe and be transported to the nozzle.

[0050] S2, sensor 1 monitors the paint flow in the nozzle pipeline in real time to obtain flow data.

[0051] S3, the data acquisition unit 2 acquires the flow data monitored by the sensor 1 and performs format conversion to generate standardized data, and transmits the standardized data to the central processing unit 3.

[0052] S4. The central processing unit 3 processes the standardized data to generate a real-time flow estimation value, determines whether the real-time flow estimation value is abnormal, and generates a monitoring result.

[0053] Specifically, the central processing unit 3 processes the standardized data by using a mean filtering method.

[0054] As a signal smoothing technology, mean filtering can remove noise from data. Its basic method is to calculate the average value of standardized data points to reduce the impact of high-frequency noise on the signal. The standardized data obtained by the central processing unit 3 from the data acquisition unit 3 is usually time series data, representing the flow measurement values ​​at different time points. The mean filtering method needs to define the window size first. The window size is N, and the mean value of the N data points in the window is calculated. The mean calculation formula is as follows:

[0055]

[0056] Among them, x i is the i-th data point in the window.

[0057] Then replace the data point at the center of the window with the calculated mean, move the window forward one data point, and repeat the above calculation and replacement process until all data points are processed.

[0058] In this way, mean filtering can smooth the data curve, reduce the random noise in the signal, and improve the stability of the data.

[0059] It is understandable that during mean filtering, boundary processing can also be performed at the start and end positions of the window, that is, at the beginning of the sequence, the window may not be able to completely cover the N data points, and a smaller window can be used, or the data points in front of the window can be filled with zeros. At the end of the sequence, the window may not be able to completely cover the N data points, and a smaller window can usually be used to process the data at the end. This process is the process of correcting the standardized data, which is convenient for generating real-time traffic estimation values.

[0060] When the central processing unit 3 determines whether the standardized data is abnormal, it needs to preset a flow standard. The preset flow standard is a range value. The real-time flow estimated value greater than the maximum value of the flow standard or less than the minimum value of the flow standard is an abnormal value.

[0061] Specifically, the preset flow rate standard in the lithium-ion battery manufacturing industry needs to be set according to different battery types, design specifications, production requirements and specific environmental conditions. Different lithium-ion batteries correspond to different standards in different environments.

[0062] For example, for high energy density batteries, more precise flow control is required to ensure the uniformity and consistency of the diaphragm, so the preset flow rate standards may be more stringent. At the same time, changes in ambient temperature, humidity and other conditions will also affect the spraying effect, so these standards will also be adjusted in different production environments.

[0063] The setting of flow standards is directly related to the performance, safety and cost control of the battery. Therefore, a large number of experiments and tests are needed to determine the optimal parameters to ensure the quality and efficiency of the battery production process. The setting of specific flow standard values ​​needs to be based on specific product specifications and process requirements, which varies in different companies, different production lines or different stages on the same production line.

[0064] In this embodiment, the preset flow rate standard is 10-15mL / s. If the real-time flow rate estimated value is 8mL / s, the flow rate is determined to be too low, that is, the real-time flow rate estimated value 8mL / s is an abnormal value. At this time, the central processing unit 3 sends an instruction to increase the flow rate to the control unit 4; if the real-time flow rate estimated value is 17mL / s, the flow rate is determined to be too high, that is, the real-time flow rate estimated value 17mL / s is also an abnormal value. At this time, the central processing unit 3 sends an instruction to reduce the flow rate to the control unit 4.

[0065] S5. Based on the abnormal data, the control unit 4 adjusts the flow in the nozzle pipeline, and returns to step S2 after the adjustment until the real-time flow estimation value is in a normal state.

[0066] The specific steps include:

[0067] S51, the central processing unit 3 sends an increase or decrease adjustment instruction to the control unit 4;

[0068] S52, the control unit 4 adjusts the paint flow in the nozzle pipeline through the regulating valve.

[0069] S6. The display unit 5 displays the real-time flow estimation value and monitoring results.

[0070] In the present application, the data acquisition unit 2, the central processing unit 3 and the control control unit 4 are used to achieve precise control of the spraying process, effectively avoid production anomalies caused by flow fluctuations, optimize production costs, effectively reduce energy consumption, and significantly improve production efficiency and the stability of battery performance, thereby improving the economic benefits of lithium-ion battery manufacturing.

[0071] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made according to the scope of application of the present invention should still fall within the scope of the claims of the present invention.

Claims

1. A lithium ion spray membrane flow monitoring device, suitable for a nozzle pipeline, characterized in that: include: A sensor (1), the sensor (1) is connected to a data acquisition unit (2), the data acquisition unit (2) is connected to a central processing unit (3), and the central processing unit (3) is connected to a control unit (4); The sensor (1) is used to monitor the flow data in the nozzle pipeline in real time; The data acquisition unit (2) is used to collect flow data from the sensor (1) and convert the flow data into a format that can be further processed and analyzed by the central processing unit (3), and the flow data after the conversion is standardized data; The central processing unit (3) is used to determine whether the standardized data is abnormal and generate a monitoring result, and the central processing unit (3) generates an adjustment instruction for the control unit (4) based on the standardized data; The control unit (4) receives the adjustment instruction issued by the central processing unit (3) and adjusts the flow rate in the nozzle pipeline.

2. A lithium ion spraying diaphragm flow monitoring device according to claim 1, characterized in that: The central processing unit (3) adopts a microprocessor, and the microprocessor generates a real-time flow estimation value by processing the standardized data. The microprocessor compares and analyzes the real-time flow estimation value with a preset flow standard to generate the adjustment instruction.

3. A lithium ion spraying diaphragm flow monitoring device according to claim 1, characterized in that: The control unit (4) is connected to the nozzle pipeline, the nozzle pipeline is equipped with a regulating valve, and the control unit (4) regulates the flow rate in the nozzle pipeline through the regulating valve.

4. A lithium ion spraying diaphragm flow monitoring device according to claim 2, characterized in that: The central processing unit (3) is connected to a display unit (5), and the display unit (5) is used to display the real-time flow estimation value and the monitoring result in real time.

5. A method for using the lithium ion spraying diaphragm flow monitoring device according to any one of claims 1 to 4, characterized in that: include: S1. Open the main valve connected to the nozzle pipe to allow the paint to enter the nozzle pipe and be transported to the nozzle; S2, sensor (1) monitors the paint flow in the nozzle pipe in real time to obtain flow data; S3, the data acquisition unit (2) acquires the flow data monitored by the sensor (1), performs format conversion, generates standardized data, and transmits the standardized data to the central processing unit (3); S4, the central processing unit (3) processes the standardized data to generate a real-time flow estimation value, determines whether the real-time flow estimation value is abnormal, and generates a monitoring result; S5, based on the abnormal data, the control unit (4) adjusts the flow rate in the nozzle pipeline, and returns to step S2 after the adjustment until the real-time flow rate estimation value is in a normal state; S6. The display unit (5) displays the real-time flow estimation value and the monitoring result.

6. The method according to claim 5, characterized in that In the step S4, the central processing unit (3) processes the standardized data using a mean filtering method.

7. The method according to claim 5, characterized in that In the step S4, a flow rate standard is preset, and the preset flow rate standard is a range value. The real-time flow rate estimation value that is greater than the maximum value of the flow rate standard or less than the minimum value of the flow rate standard is an abnormal value.

8. The method according to claim 5, characterized in that In step S5, the control unit (4) adjusts the flow rate in the nozzle pipeline, specifically comprising the following steps: S51, the central processing unit (3) sends an increase or decrease adjustment instruction to the control unit (4); S52, the control unit (4) adjusts the paint flow in the nozzle pipeline through the regulating valve.

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