Search

EP-4741798-A1 - SLURRY PRESSURIZING AND FILTERING APPARATUS FOR ANALYZING SLURRY AND METHOD OF ANALYZING SLURRY

EP4741798A1EP 4741798 A1EP4741798 A1EP 4741798A1EP-4741798-A1

Abstract

A method of analyzing a slurry, which is performed by a processor of a slurry pressurizing and filtering apparatus, may include collecting a cumulative discharge amount of a slurry of an active material for a secondary battery at preset time intervals, calculating a discharge amount per hour of the slurry by using a cumulative discharge amount of the slurry at a previous time and a cumulative discharge amount of the slurry at a current time, classifying state information of the slurry based on the cumulative discharge amount of the slurry and the discharge amount per hour of the slurry, and deriving a discharge rate, which represents flow characteristics 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

  • KIM, BORA
  • KIM, SUNGSOO
  • Lee, Jaehyoun
  • JEON, Keonghee
  • JO, Seonggwan

Assignees

  • SAMSUNG SDI CO., LTD.

Dates

Publication Date
20260513
Application Date
20251022

Claims (15)

  1. A method of analyzing a slurry, which is performed by a processor (140) of a slurry pressurizing and filtering apparatus, the method comprising: collecting (510) a cumulative discharge amount of a slurry of an active material for a secondary battery at preset time intervals; calculating (520) a discharge amount per hour of the slurry by using a cumulative discharge amount of the slurry at a previous time and a cumulative discharge amount of the slurry at a current time; classifying (530) state information of the slurry based on the cumulative discharge amount of the slurry and the discharge amount per hour of the slurry; and deriving (540) a discharge rate, which represents flow characteristics and a dispersion state of the slurry, as an evaluation characteristic value based on a result (320) of classifying the state information of the slurry.
  2. The method as claimed in claim 1, wherein the collecting of the cumulative discharge amount of the slurry comprises collecting the cumulative discharge amount of the slurry, which passes 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 as claimed in claim 1 or 2, further comprising, after the collecting of the discharge amount per hour of the slurry, generating a first graph (310) by plotting the cumulative discharge amount of the slurry on an X-axis and plotting the discharge amount per hour of the slurry corresponding to the X-axis on a Y-axis.
  4. The method as claimed in any one of the preceding claims, wherein the classifying of the state information of the slurry comprises classifying the state information of the slurry corresponding to the cumulative discharge amount of the slurry and the discharge amount per hour of the slurry by using an unsupervised learning-based deep learning model that is trained in advance to classify the state information of the slurry by inputting the cumulative discharge amount of the slurry and the discharge amount per hour of the slurry.
  5. The method as claimed in claim 4, wherein the state information of the slurry is classified into a normal value and an abnormal value, and the method further comprises, after the classifying of the state information of the slurry, removing the abnormal value from the state information of the slurry.
  6. The method as claimed in any one of the preceding claims, wherein the deriving of the evaluation characteristic value comprises: calculating a discharge rate per hour of the slurry by using the discharge amount per hour of the slurry and a first reference value representing a discharge amount per hour in a cumulative discharge amount selected from the cumulative discharge amount of the slurry; generating a second graph by plotting the cumulative discharge amount of the slurry on an X-axis and plotting the discharge rate per hour of the slurry corresponding to the X-axis on a Y-axis; and determining the discharge rate per hour of the slurry, which corresponds to a second reference value representing a maximum value of the cumulative discharge amount on the second graph, as the evaluation characteristic value.
  7. The method as claimed in claim 6, further comprising, before the calculating of the discharge rate per hour of the slurry, removing an abnormal value from the result (320) of classifying the state information of the slurry, and applying a normal value.
  8. A computer-readable recording medium having recorded thereon a program that causes the method as claimed in claim 1 to be executed on a computer.
  9. A slurry pressurizing and filtering apparatus comprising: one or more processors (140); and a memory (130) operatively connected to the one or more processors (140) and configured to store at least one code executed by the one or more processors (140), wherein the memory (130) is configured to store the at least one code to, if executed by the one or more processors (140), cause the one or more processors (140) to: collect a cumulative discharge amount of a slurry of an active material for a secondary battery at preset time intervals; calculate a discharge amount per hour of the slurry by using a cumulative discharge amount of the slurry at a previous time and a cumulative discharge amount of the slurry at a current time; classify state information of the slurry based on the cumulative discharge amount of the slurry and the discharge amount per hour of the slurry; and derive a discharge rate, which represents flow characteristics and a dispersion state of the slurry, as an evaluation characteristic value based on a result (320) of classifying the state information of the slurry.
  10. The slurry pressurizing and filtering apparatus as claimed in claim 9, wherein the memory (130) is configured to store the at least one code to cause the one or more processors (140) to, if collecting the cumulative discharge amount of the slurry, collect the cumulative discharge amount of the slurry, which passes through a filter after a preset pressure is applied, from at least one selected from a flow meter and a load cell.
  11. The slurry pressurizing and filtering apparatus as claimed in claim 9 or 10, wherein the memory (130) is configured to store the at least one code to cause the one or more processors (140) to, after collecting the discharge amount per hour of the slurry, generate a first graph (310) by plotting the cumulative discharge amount of the slurry on an X-axis and plotting the discharge amount per hour of the slurry corresponding to the X-axis on a Y-axis.
  12. The slurry pressurizing and filtering apparatus as claimed in any one of the claims 9 to 11, wherein the memory (130) is configured to store the at least one code to cause the one or more processors (140) to, if classifying the state information of the slurry, classify the state information of the slurry corresponding to the cumulative discharge amount of the slurry and the discharge amount per hour of the slurry by using an unsupervised learning-based deep learning model that is trained in advance to classify the state information of the slurry by inputting the cumulative discharge amount of the slurry and the discharge amount per hour of the slurry.
  13. The slurry pressurizing and filtering apparatus as claimed in claim 12, wherein the state information of the slurry is classified into a normal value and an abnormal value, and the memory (130) is configured to store the at least one code to cause the one or more processors (140) to, after classifying the state information of the slurry, remove the abnormal value from the state information of the slurry.
  14. The slurry pressurizing and filtering apparatus as claimed in any one of the claims 9 to 13, wherein the memory (130) is configured to store the at least one code to cause the one or more processors (140) to: when deriving the evaluation characteristic value, calculate a discharge rate per hour of the slurry by using the discharge amount per hour of the slurry and a first reference value representing a discharge amount per hour in a cumulative discharge amount selected from the cumulative discharge amount of the slurry; generate a second graph by plotting the cumulative discharge amount of the slurry on an X-axis and plotting the discharge rate per hour of the slurry corresponding to the X-axis on a Y-axis; and determine the discharge rate per hour of the slurry, which corresponds to a second reference value representing a maximum value of the cumulative discharge amount on the second graph, as the evaluation characteristic value.
  15. The slurry pressurizing and filtering apparatus as claimed in claim 14, wherein the memory (130) is configured to store the at least one code to cause the one or more processors (140) to, before calculating the discharge rate per hour of the slurry, remove an abnormal value from the result (320) of classifying the state information of the slurry, and apply a normal value.

Description

BACKGROUND 1. Field Embodiments of the present disclosure relate to a slurry pressurizing and filtering apparatus to analyze a slurry of an active material for a secondary battery, and a method of analyzing a slurry of an active material for a secondary battery, which is performed by the slurry pressurizing and filtering apparatus. 2. Description of the Related Art In processes of industrially handling slurries of active materials for secondary batteries, the continuous flow characteristics of the slurries are very important. This is because the design of the entire facility, such as the design of the length, thickness, and angle of production line pipes, may be determined based on the continuous flow characteristics of slurries of active materials for secondary batteries. In existing slurry pressurizing and filtering apparatuses, due to the high viscosity of slurries, there is a possibility that abnormal values may randomly occur during data measurement. Thus, the reliability of discharge amount and discharge rate data provided by a slurry pressurizing and filtering apparatus may be lowered. 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 constitute prior art. SUMMARY Embodiments of the present disclosure are directed to classifying data measured in a slurry pressurizing and filtering apparatus into a normal value and an abnormal value and removing the abnormal value. Embodiments of the present disclosure are directed to deriving a standardized evaluation characteristic value of a slurry by using a normal value. However, the technical objects of embodiments of the present disclosure are not limited to the above, and other objects of embodiments that are not described herein will be clearly understood by those skilled in the art from reviewing the following disclosure. According to an aspect, a method of analyzing a slurry, which is performed by a processor of a slurry pressurizing and filtering apparatus, includes collecting a cumulative discharge amount of a slurry of an active material for a secondary battery at preset time intervals, calculating a discharge amount per hour of the slurry by using a cumulative discharge amount of the slurry at a previous time and a cumulative discharge amount of the slurry at a current time, classifying state information of the slurry based on the cumulative discharge amount of the slurry and the discharge amount per hour of the slurry, and deriving a discharge rate, which represents flow characteristics 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 aspect, a slurry pressurizing and filtering apparatus to analyze 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 processor, wherein the memory is configured to store the at least one code to, if (e.g., when) executed by the processor, cause the processor to collect a cumulative discharge amount of a slurry of an active material for a secondary battery at preset time intervals, calculate a discharge amount per hour of the slurry by using a cumulative discharge amount of the slurry at a previous time and a cumulative discharge amount of the slurry at a current time, classify state information of the slurry based on the cumulative discharge amount of the slurry and the discharge amount per hour of the slurry, and derive a discharge rate, which represents flow characteristics 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 to implement the subject matter of the present disclosure, other systems, and a computer-readable recording medium on which a computer program to execute the method is stored may be further provided. Other aspects and features of embodiments other than those described above will become apparent from the following drawings, claims, and detailed description of the disclosure. BRIEF DESCRIPTION OF THE DRAWINGS The accompanying drawings illustrate embodiments of the present disclosure and, together with the following detailed description, serve to provide further understanding of the technical scope of the present disclosure. However, the present disclosure is not to be construed as being limited to the details shown in the drawings, in which: FIG. 1 illustrates a configuration of a slurry pressurizing and filtering apparatus to analyze a slurry according to an embodiment of the present disclosure;FIG. 2 illustrates a configuration of a processor in the slurry pressurizing and filtering apparatus to analyze a slurry according to an embodiment of the present disclosure;FIG. 3 shows example diagrams illustrating a c