CN-122016558-A - Slurry pressurizing and filtering apparatus for analyzing slurry, and method and medium for analyzing slurry

CN122016558ACN 122016558 ACN122016558 ACN 122016558ACN-122016558-A

Abstract

Slurry pressurization and filtration apparatus for analyzing slurries and methods and media for analyzing slurries are provided. The method of analyzing the slurry performed by the processor of the slurry pressurizing and filtering apparatus may include collecting an accumulated discharge amount of the slurry of the active material of the secondary battery at preset time intervals, calculating an hourly discharge amount of the slurry by using the accumulated discharge amount of the slurry at a previous time and the accumulated discharge amount of the slurry at a current time, classifying state information of the slurry based on the accumulated discharge amount of the slurry and the hourly discharge amount of the slurry, and deriving a discharge rate representing a flow characteristic and a dispersion state of the slurry as an evaluation characteristic value based on a result of classifying the state information of the slurry.

Inventors

Jin Baoluo
JIN CHENGZHU
LI ZAIXIAN
Quan Jingji
Zhao Chengguan

Assignees

三星SDI株式会社

Dates

Publication Date: 20260512
Application Date: 20251111
Priority Date: 20241111

Claims (15)

1. A method of analyzing slurry performed by a processor of a slurry pressurization and filtration apparatus, the method comprising: Collecting an accumulated discharge amount of slurry of an active material of a secondary battery at preset time intervals; calculating an hourly discharge amount of the slurry by using an accumulated discharge amount of the slurry at a previous time and an accumulated discharge amount of the slurry at a current time; classifying status information of the slurry based on the accumulated discharge amount of the slurry and the hourly discharge amount of the slurry, and Based on the result of classifying the state information of the slurry, a discharge rate representing the flow characteristic and dispersion state of the slurry is obtained as an evaluation characteristic value.
2. The method of claim 1, wherein the collecting of the accumulated discharge amount of the slurry includes collecting the accumulated discharge amount of the slurry passing through a filter after a preset pressure is applied from at least one selected from a flow meter and a load cell.
3. The method of claim 1, further comprising generating a first graph by plotting the cumulative discharge amount of the slurry on an X-axis and plotting the hourly discharge amount of the slurry corresponding to the X-axis on a Y-axis after the calculation of the hourly discharge amount of the slurry.
4. The method of claim 1, wherein the classifying the state information of the slurry includes classifying the state information of the slurry corresponding to the cumulative discharge amount of the slurry and the hourly discharge amount of the slurry by using an unsupervised learning-based deep learning model trained in advance to classify the state information of the slurry by inputting the cumulative discharge amount of the slurry and the hourly discharge amount of the slurry.
5. The method of claim 4, wherein the status information of the slurry is classified into a normal value and an abnormal value, and The method further includes removing the outlier from the state information of the slurry after the classifying the state information of the slurry.
6. The method of claim 1, wherein the deriving of the evaluation feature value comprises: Calculating an hourly discharge rate of the slurry by using the hourly discharge amount of the slurry and a first reference value representing an hourly discharge amount corresponding to an accumulated discharge amount among the accumulated discharge amounts selected from the slurries; Generating a second graph by plotting the cumulative discharge amount of the slurry on an X-axis and plotting the hourly discharge rate of the slurry corresponding to the X-axis on a Y-axis, and The hourly discharge rate of the slurry corresponding to a second reference value representing a maximum value of the cumulative discharge amount on the second graph is determined as the evaluation characteristic value.
7. The method of claim 6, further comprising removing outliers from the results of classifying the state information of the slurry and applying normal values prior to the calculation of the hourly discharge rate of the slurry.
8. A computer-readable recording medium having a program recorded thereon, the program causing the method according to any one of claims 1 to 7 to be executed on a computer.
9. A slurry pressurizing and filtering apparatus comprising: One or more processors, and A memory operatively connected to the one or more processors and configured to store at least one code executed by the one or more processors, Wherein the memory is configured to store the at least one code, which, if executed by the one or more processors, causes the one or more processors to: Collecting an accumulated discharge amount of slurry of an active material of a secondary battery at preset time intervals; calculating an hourly discharge amount of the slurry by using an accumulated discharge amount of the slurry at a previous time and an accumulated discharge amount of the slurry at a current time; classifying status information of the slurry based on the accumulated discharge amount of the slurry and the hourly discharge amount of the slurry, and Based on the result of classifying the state information of the slurry, a discharge rate representing the flow characteristic and dispersion state of the slurry is obtained as an evaluation characteristic value.
10. The slurry pressurizing and filtering apparatus of claim 9, wherein the memory is configured to store the at least one code such that, upon collecting the accumulated discharge amount of the slurry, the one or more processors collect the accumulated discharge amount of the slurry that passes through a filter after applying a preset pressure from at least one selected from a flow meter and a load cell.
11. The slurry pressurizing and filtering apparatus of claim 9, wherein the memory is configured to store the at least one code to cause the one or more processors to generate a first graph by plotting the cumulative discharge amount of the slurry on an X-axis and the hourly discharge amount of the slurry corresponding to the X-axis after calculating the hourly discharge amount of the slurry.
12. The slurry pressurizing and filtering apparatus according to claim 9, wherein the memory is configured to store the at least one code such that, in classifying the state information of the slurry, the one or more processors classify the state information of the slurry corresponding to the cumulative discharge amount of the slurry and the hourly discharge amount of the slurry by using an unsupervised learning-based deep learning model trained in advance to classify the state information of the slurry by inputting the cumulative discharge amount of the slurry and the hourly discharge amount of the slurry.
13. The slurry pressurizing and filtering apparatus according to claim 12, wherein the state information of the slurry is classified into a normal value and an abnormal value, and The memory is configured to store the at least one code to cause the one or more processors to remove the outlier from the state information of the slurry after classifying the state information of the slurry.
14. The slurry pressurizing and filtering apparatus of claim 9, wherein the memory is configured to store the at least one code to cause the one or more processors to: When the evaluation feature value is derived: Calculating an hourly discharge rate of the slurry by using the hourly discharge amount of the slurry and a first reference value representing an hourly discharge amount corresponding to an accumulated discharge amount among the accumulated discharge amounts selected from the slurries; Generating a second graph by plotting the cumulative discharge amount of the slurry on an X-axis and plotting the hourly discharge rate of the slurry corresponding to the X-axis on a Y-axis, and The hourly discharge rate of the slurry corresponding to a second reference value representing a maximum value of the cumulative discharge amount on the second graph is determined as the evaluation characteristic value.
15. The slurry pressurization and filtration device of claim 14, wherein the memory is configured to store the at least one code to cause the one or more processors to remove outliers from the results of classifying the state information of the slurry and apply normal values prior to calculating the hourly discharge rate of the slurry.

Description

Slurry pressurizing and filtering apparatus for analyzing slurry, and method and medium for analyzing slurry Technical Field Embodiments of the present disclosure relate to a slurry pressurizing and filtering apparatus for analyzing a slurry of an active material of a secondary battery and a method of analyzing a slurry of an active material of a secondary battery performed by the slurry pressurizing and filtering apparatus. Background In the industrial process of treating a slurry of an active material of a secondary battery, the continuous flow characteristics of the slurry are very important. This is because the design of the entire facility, such as the design of the length, thickness, and angle of the production line pipe, may be determined based on the continuous flow characteristics of the slurry of the active material of the secondary battery. In existing slurry pressurization and filtration equipment, there is a possibility that abnormal values may occur randomly during data measurement due to high viscosity of the slurry. Therefore, the reliability of the discharge amount and discharge rate data provided by the slurry pressurizing and filtering apparatus may be reduced. The above information disclosed in this background section is only for enhancement of understanding of the background of the present disclosure and, therefore, it may contain information that does not form the prior art. Disclosure of Invention Embodiments of the present disclosure relate to classifying data measured in slurry pressurization and filtration equipment into normal and abnormal values and removing the abnormal values. Embodiments of the present disclosure relate to deriving a normalized evaluation feature value of a slurry by using a normal value. However, technical objects of the embodiments of the present disclosure are not limited to the above objects, and other objects of the embodiments not described herein will be clearly understood by those skilled in the art from a review of the following disclosure. According to an embodiment, a method of analyzing a slurry performed by a processor of a slurry pressurizing and filtering apparatus includes collecting an accumulated discharge amount of a slurry of an active material of a secondary battery at preset time intervals, calculating an hourly discharge amount of the slurry by using the accumulated discharge amount of the slurry at a previous time and the accumulated discharge amount of the slurry at a current time, classifying state information of the slurry based on the accumulated discharge amount of the slurry and the hourly discharge amount of the slurry, and deriving a discharge rate representing a flow characteristic and a dispersion state of the slurry as an evaluation characteristic value based on a result of classifying the state information of the slurry. According to an embodiment, a slurry pressurizing and filtering apparatus for analyzing a slurry includes one or more processors, and a memory operatively connected to the one or more processors and configured to store at least one code executed by the processors, wherein the memory is configured to store the at least one code to, when executed by the processors, cause the processors to collect an accumulated discharge amount of slurry of an active material of a secondary battery at a preset time interval, calculate an hourly discharge amount of the slurry by using the accumulated discharge amount of the slurry at a previous time and the accumulated discharge amount of the slurry at a current time, classify state information of the slurry based on the accumulated discharge amount of the slurry and the hourly discharge amount of the slurry, and derive a discharge rate representing a flow characteristic and a dispersion state of the slurry as an evaluation characteristic value based on a result of classifying the state information of the slurry. In embodiments, other methods, other systems, and computer-readable recording media storing thereon a computer program for performing the methods may be further provided for implementing the subject matter of the present disclosure. Other aspects and features of embodiments in addition to the above-described aspects and features will become apparent from the following drawings, claims, and detailed description of the disclosure. Drawings The accompanying drawings illustrate embodiments of the present disclosure and, together with the detailed description, serve to provide a further understanding of the technical scope of the present disclosure. However, the present disclosure should not be interpreted as being limited to the details shown in the drawings, in which: FIG. 1 illustrates a configuration of a slurry pressurization and filtration apparatus for analyzing a slurry according to an embodiment of the present disclosure; FIG. 2 illustrates a configuration of a processor in a slurry pressurization and filtration apparatus for analyzing a slurry, according to an emb