Method for detecting fault point in preparation of nickel cobalt lithium manganate positive electrode material of lithium battery

Abstract

The invention relates to the technical field of lithium battery positive electrode materials, in particular to a method for detecting preparation fault points of a lithium battery nickel cobalt lithium manganate positive electrode material. The method comprises the following steps: 1, collecting various data in a preparation process, including but not limited to temperature, pressure, flow, time and raw material components; 2, detecting the anode material which is being prepared in real time by using an X-ray diffraction technology to obtain crystal structure information of the material; 3, comparing and analyzing the obtained material crystal structure information with known qualified material crystal structure information, and judging whether a fault occurs or not; 4, when the fruits break down, collecting and analyzing real-time images in the preparation process by utilizing a machine vision technology, and finding out fault points; and 5, determining the position and the type of the fault point. The method can be used for detecting faults in the preparation process of the lithium nickel cobalt manganese oxide positive electrode material online in real time, and has the advantages of simplicity in operation, accurate detection result, low cost and the like.

Description

Technical Field

[0001] The present invention relates to the technical field of lithium battery positive electrode materials, and in particular to a method for detecting fault points in the preparation of lithium battery nickel cobalt manganese oxide positive electrode materials. Background Art

[0002] With the development of science and technology, lithium batteries have been widely used in various fields. In the manufacturing process of lithium batteries, the preparation of lithium nickel cobalt manganese oxide positive electrode materials is one of the key steps, and its quality directly affects the performance and life of lithium batteries. However, during the preparation process, various factors may cause various faults, such as uneven material mixing, improper sintering temperature, and too long synthesis time. These faults may have a negative impact on the quality and performance of the final positive electrode material. Therefore, timely and accurate detection of faults in the preparation process is of great significance to improving the quality and production efficiency of positive electrode materials.

[0003] Existing fault detection methods mainly include physical detection, chemical detection and electrical detection. Physical detection mainly includes the detection of physical properties of materials during the preparation process, such as density, particle size, morphology, etc. Chemical detection mainly includes chemical analysis of materials, such as element content, structure, etc. Electrical detection mainly includes electrochemical performance testing of materials, such as cyclic voltammetry, electrochemical impedance spectroscopy, etc. Although these methods can reflect the performance of materials to a certain extent, they have certain limitations in fault detection, such as delayed detection results, high detection costs, and inability to conduct quantitative analysis. Summary of the invention

[0004] The technical problem to be solved by the present invention is to overcome the deficiencies of the prior art and provide a method for detecting fault points in the preparation of lithium nickel cobalt manganese oxide positive electrode materials for lithium batteries.

[0005] The technical solution of the present invention is:

[0006] A method for detecting fault points in the preparation of lithium nickel cobalt manganese oxide positive electrode materials for lithium batteries, comprising the following steps:

[0007] Step 1: Collect various data during the preparation process, including but not limited to temperature, pressure, flow rate, time, and raw material composition;

[0008] Step 2: Use X-ray diffraction technology to perform real-time detection on the cathode material being prepared to obtain the crystal structure information of the material;

[0009] Step 3: Compare and analyze the acquired material crystal structure information with the known qualified material crystal structure information to determine whether a fault occurs;

[0010] Step 4: If a fault occurs, use machine vision technology to collect and analyze real-time images during the preparation process to find the fault point;

[0011] Step 5: According to the location and type of the fault point, perform fault processing, adjust the temperature, pressure, flow parameters, or replace the faulty equipment.

[0012] Preferably, in step 1, during the preparation process, the temperature needs to be precisely controlled and monitored; this is achieved by installing temperature sensors, and the temperature sensors are thermocouples and thermal resistors; temperature sensors are set in key areas, such as reactors, dryers, and roasting furnaces, to monitor and record temperature changes in these areas in real time.

[0013] Preferably, in step 1, pressure has an important influence on the chemical reactions and physical changes in the preparation process, so it needs to be accurately monitored; pressure changes are monitored by pressure sensors, such as resistive, capacitive, and piezoelectric; for high pressure or vacuum environments, suitable pressure sensors should be selected and calibrated regularly to ensure data accuracy.

[0014] Preferably, in step 1, flow monitoring has an important impact on material transport and reaction rate during the preparation process; flow meters are used to monitor the flow of various materials, such as mass flow meters and volume flow meters; flow meters need to be regularly inspected and maintained to ensure their accuracy and stability.

[0015] Preferably, in step 2, the time in the preparation process is also important data; the time of each step, reaction time, heating time, cooling time is recorded to better understand and master the preparation process.

[0016] Preferably, in step 2, the composition of the raw materials is crucial to the preparation results; the composition of the raw materials needs to be analyzed and recorded in detail, including the chemical composition and impurity content of the raw materials; this is achieved through chemical analysis methods, spectroscopy, chromatography, and mass spectrometry.

[0017] Preferably, in step three, the collected images are processed and analyzed by machine vision software or algorithms; various objects and features, raw materials, products, and equipment in the preparation process are identified and analyzed; various abnormal conditions in the preparation process, such as insufficient raw materials, equipment failure, and product defects, are detected by processing and analyzing the images.

[0018] Preferably, in step three, the fault point is accurately located by processing and analyzing the image; for each area in the preparation process, the corresponding position is marked, and when a fault occurs, the fault point is quickly and accurately located through the position information in the image.

[0019] Compared with the prior art, the present invention has the following beneficial effects: the method can detect faults in the preparation process of nickel cobalt manganese oxide lithium positive electrode materials in real time and online, and has the advantages of simple operation, accurate detection results, low cost, etc.

[0020] By real-time monitoring and detection of various data in the preparation process, combined with X-ray diffraction technology and machine vision technology, faults can be discovered in a timely manner and the fault points can be accurately located, so that timely fault handling can be carried out, avoiding the adverse effects of faults on the quality of positive electrode materials and improving production efficiency and product quality. DETAILED DESCRIPTION

[0021] In order to enable those skilled in the art to better understand the technical solutions in the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in combination with the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments.

[0022] Example 1

[0023] This embodiment provides a method for detecting fault points in the preparation of lithium nickel cobalt manganese oxide positive electrode materials for lithium batteries, comprising the following steps:

[0024] Step 1: Collect various data during the preparation process, including but not limited to temperature, pressure, flow rate, time, and raw material composition;

[0025] Step 2: Use X-ray diffraction technology to perform real-time detection on the cathode material being prepared to obtain the crystal structure information of the material;

[0026] Step 3: Compare and analyze the acquired material crystal structure information with the known qualified material crystal structure information to determine whether a fault occurs;

[0027] Step 4: If a fault occurs, use machine vision technology to collect and analyze real-time images during the preparation process to find the fault point;

[0028] Step 5: According to the location and type of the fault point, perform fault processing, adjust the temperature, pressure, flow parameters, or replace the faulty equipment.

[0029] Preferably, in step 1, during the preparation process, the temperature needs to be precisely controlled and monitored; this is achieved by installing temperature sensors, and the temperature sensors are thermocouples and thermal resistors; temperature sensors are set in key areas, such as reactors, dryers, and roasting furnaces, to monitor and record temperature changes in these areas in real time.

[0030] Preferably, in step 1, pressure has an important influence on the chemical reactions and physical changes in the preparation process, so it needs to be accurately monitored; pressure changes are monitored by pressure sensors, such as resistive, capacitive, and piezoelectric; for high pressure or vacuum environments, suitable pressure sensors should be selected and calibrated regularly to ensure data accuracy.

[0031] Preferably, in step 1, flow monitoring has an important impact on material transport and reaction rate during the preparation process; flow meters are used to monitor the flow of various materials, such as mass flow meters and volume flow meters; flow meters need to be regularly inspected and maintained to ensure their accuracy and stability.

[0032] Preferably, in step 2, the time in the preparation process is also important data; the time of each step, reaction time, heating time, cooling time is recorded to better understand and master the preparation process.

[0033] Preferably, in step 2, the composition of the raw materials is crucial to the preparation results; the composition of the raw materials needs to be analyzed and recorded in detail, including the chemical composition and impurity content of the raw materials; this is achieved through chemical analysis methods, spectroscopy, chromatography, and mass spectrometry.

[0034] Preferably, in step three, the collected images are processed and analyzed by machine vision software or algorithms; various objects and features, raw materials, products, and equipment in the preparation process are identified and analyzed; various abnormal conditions in the preparation process, such as insufficient raw materials, equipment failure, and product defects, are detected by processing and analyzing the images.

[0035] Preferably, in step three, the fault point is accurately located by processing and analyzing the image; for each area in the preparation process, the corresponding position is marked, and when a fault occurs, the fault point is quickly and accurately located through the position information in the image.

[0036] Compared with the prior art, the present invention has the following beneficial effects: the method can detect faults in the preparation process of nickel cobalt manganese oxide lithium positive electrode materials in real time and online, and has the advantages of simple operation, accurate detection results, low cost, etc.

[0037] By real-time monitoring and detection of various data in the preparation process, combined with X-ray diffraction technology and machine vision technology, faults can be discovered in a timely manner and the fault points can be accurately located, so that timely fault handling can be carried out, avoiding the adverse effects of faults on the quality of positive electrode materials and improving production efficiency and product quality.

[0038] The implementation process of the present invention comprises the following steps:

[0039] Step 1: Collect various data during the preparation process. During the preparation of lithium nickel cobalt manganese oxide cathode materials, various data are collected through online instruments or sensors, including but not limited to temperature, pressure, flow, time, raw material composition, etc. These data can be transmitted to the host computer or data acquisition system via industrial Ethernet or field bus for real-time monitoring and analysis.

[0040] Step 2: Use X-ray diffraction technology to perform real-time detection on the cathode material being prepared. During the preparation process, X-ray diffraction technology is used to detect the cathode material being prepared regularly or online to obtain the crystal structure information of the material. This information can be compared and analyzed with the known crystal structure information of qualified materials to determine whether a fault occurs. If a fault is found, it can be adjusted or processed in time.

[0041] Step 3: Use machine vision technology to collect and analyze real-time images during the preparation process. The machine vision system can collect images during the preparation process in real time. Through image processing and analysis technology, the fault point can be accurately located, so that timely fault handling can be carried out. According to the location and type of the fault point, corresponding handling measures can be taken, such as adjusting parameters such as temperature, pressure, flow, or replacing the faulty equipment.

[0042] Through the above steps, real-time monitoring and fault detection can be achieved during the preparation process of lithium battery nickel cobalt manganese oxide positive electrode materials, so that faults can be discovered and handled in time, avoiding the adverse effects of faults on the quality of positive electrode materials and improving production efficiency and product quality.

[0043] The advantages of the present invention are that it combines X-ray diffraction technology and machine vision technology to achieve real-time monitoring and detection of various data in the preparation process; at the same time, it can promptly discover faults and accurately locate the fault points; it is simple and convenient to operate, low cost and has high practicality and reliability.

Claims

1. A method for detecting fault points in the preparation of lithium nickel cobalt manganese oxide positive electrode materials for lithium batteries, characterized in that: The following steps are included: Step 1: Collect various data during the preparation process, including but not limited to temperature, pressure, flow rate, time, and raw material composition; Step 2: Use X-ray diffraction technology to perform real-time detection on the cathode material being prepared to obtain the crystal structure information of the material; Step 3: Compare and analyze the acquired material crystal structure information with the known qualified material crystal structure information to determine whether a fault occurs; Step 4: If a fault occurs, use machine vision technology to collect and analyze real-time images during the preparation process to find the fault point; Step 5: According to the location and type of the fault point, perform fault processing, adjust the temperature, pressure, flow parameters, or replace the faulty equipment.

2. The method for detecting fault points in the preparation of lithium nickel cobalt manganese oxide positive electrode materials for lithium batteries according to claim 1, characterized in that: In the step 1, during the preparation process, the temperature needs to be accurately controlled and monitored; this is achieved by installing temperature sensors, and the temperature sensors are thermocouples and thermal resistors; temperature sensors are set in key areas, such as reactors, dryers, and roasting furnaces, to monitor and record temperature changes in these areas in real time.

3. The method for detecting fault points in the preparation of lithium nickel cobalt manganese oxide positive electrode materials for lithium batteries according to claim 1, characterized in that: In the step 1, pressure has an important influence on the chemical reactions and physical changes in the preparation process, so it needs to be accurately monitored; pressure changes are monitored by pressure sensors, such as resistive, capacitive, and piezoelectric; for high pressure or vacuum environments, suitable pressure sensors should be selected and calibrated regularly to ensure data accuracy.

4. The method for detecting fault points in the preparation of lithium nickel cobalt manganese oxide positive electrode materials for lithium batteries according to claim 1, characterized in that: In the step 1, flow monitoring has an important impact on the material transport and reaction rate during the preparation process; flow meters are used to monitor the flow of various materials, such as mass flow meters and volume flow meters; flow meters need to be regularly inspected and maintained to ensure their accuracy and stability.

5. The method for detecting fault points in the preparation of lithium nickel cobalt manganese oxide positive electrode materials for lithium batteries according to claim 1, characterized in that: In the step 2, the time during the preparation process is also important data; record the time of each step, reaction time, heating time, cooling time, to better understand and master the preparation process.

6. The method for detecting fault points in the preparation of lithium nickel cobalt manganese oxide positive electrode materials for lithium batteries according to claim 1, characterized in that: In the step 2, the composition of the raw materials is crucial to the preparation results; the composition of the raw materials needs to be analyzed and recorded in detail, including the chemical composition and impurity content of the raw materials; this is achieved through chemical analysis methods, spectroscopy, chromatography, and mass spectrometry.

7. The method for detecting fault points in the preparation of lithium nickel cobalt manganese oxide positive electrode materials for lithium batteries according to claim 1, characterized in that: The step three is to process and analyze the collected images through machine vision software or algorithms; identify and analyze various objects and features, raw materials, products, and equipment in the preparation process; and detect various abnormal conditions in the preparation process, such as insufficient raw materials, equipment failure, and product defects, by processing and analyzing the images.

8. The method for detecting fault points in the preparation of lithium nickel cobalt manganese oxide positive electrode materials for lithium batteries according to claim 1, characterized in that: In the step three, the fault point is accurately located by processing and analyzing the image; for each area in the preparation process, the corresponding position is marked, and when a fault occurs, the fault point is quickly and accurately located through the position information in the image.