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CN-122029660-A - Information processing method, information processing device, and information processing program

CN122029660ACN 122029660 ACN122029660 ACN 122029660ACN-122029660-A

Abstract

The information terminal acquires a plurality of abnormal state items indicating state items for which abnormal values are detected among the plurality of state items, the plurality of abnormal state items indicating a plurality of states of the plurality of batteries, displays the acquired plurality of abnormal state items, and displays a focused state item as an abnormal state item to be dealt with among the plurality of abnormal state items in a manner different from other abnormal state items.

Inventors

  • Honda mototaka
  • Lin Daiyi

Assignees

  • 松下知识产权经营株式会社

Dates

Publication Date
20260512
Application Date
20240725
Priority Date
20231016

Claims (15)

  1. 1. An information processing method in a computer, comprising: Acquiring a plurality of abnormal state items representing state items in which abnormal values are detected among a plurality of state items representing a plurality of states of a plurality of batteries, and The plurality of abnormal state items are displayed, and a focused state item, which is an abnormal state item to be dealt with, among the plurality of abnormal state items is displayed in a different manner from other abnormal state items.
  2. 2. The information processing method according to claim 1, wherein, The information processing method further includes determining 1 battery from the plurality of batteries, The displaying includes displaying the plurality of abnormal state items of the 1 battery and displaying the attention state item among the plurality of abnormal state items in a different manner from the other abnormal state items.
  3. 3. The information processing method according to claim 1 or 2, wherein, The information processing method further includes: Determining, as at least 1 attention state item, at least 1 st abnormal state item corresponding to the at least 1 st abnormal state item included in the acquired plurality of abnormal state items based on a table in which at least 1 st abnormal state item and at least 12 nd abnormal state item as the attention state item are associated.
  4. 4. The information processing method according to claim 1 or 2, wherein, The information processing method further includes: And determining at least 1 abnormal state item corresponding to the error item having the highest importance among the plurality of obtained abnormal state items as at least 1 attention state item based on a table in which at least 1 abnormal state item among the plurality of abnormal state items, an error item predicted from the at least 1 abnormal state item and representing an error occurring in a battery, and the importance of the error item are associated.
  5. 5. The information processing method according to claim 1 or 2, wherein, Associating an abnormality degree indicating the degree of abnormality with each of the plurality of abnormal state items, The information processing method further includes determining at least 1 abnormal state item having the largest degree of abnormality among the plurality of obtained abnormal state items as at least 1 attention state item.
  6. 6. The information processing method according to claim 5, wherein, The degree of abnormality of each of the plurality of abnormal state items is determined based on a degree to which an action history of each of the plurality of abnormal state items exceeds a threshold value.
  7. 7. The information processing method according to claim 5, wherein, The degree of abnormality of each of the plurality of abnormal state items is determined based on a time during which the action histories of each of the plurality of abnormal state items continue to exceed a threshold value.
  8. 8. The information processing method according to claim 5, wherein, Counting the number of times the plurality of abnormal state items occur within the 1 st given period, The degree of abnormality of each of the plurality of abnormal state items is determined based on the degree to which the number of times exceeds a threshold.
  9. 9. The information processing method according to claim 8, wherein, The 1 year is divided into a plurality of periods, 1 Threshold value is selected from a plurality of threshold values different for each of the plurality of periods according to which period of the 1 st given period is included in the plurality of periods.
  10. 10. The information processing method according to claim 8, wherein, Counting the number of times the plurality of abnormal state items occur within a 2 nd given period longer than the 1 st given period, respectively, The degree of abnormality of each of the plurality of abnormal state items decreases when the number of times exceeds a threshold value, and increases when the number of times does not exceed the threshold value.
  11. 11. The information processing method according to claim 1 or 2, wherein, Associating an abnormality degree indicating the degree of abnormality with each of the plurality of abnormal state items, The information processing method further includes determining at least 1 abnormal state item, of the plurality of obtained abnormal state items, for which the degree of abnormality is equal to or greater than a threshold value, as at least 1 attention state item.
  12. 12. The information processing method according to claim 11, wherein, The display includes, when a plurality of attention state items are determined, displaying the plurality of attention state items in different manners according to the level of the abnormality degree corresponding to each of the plurality of attention state items.
  13. 13. The information processing method according to claim 2, wherein, The information processing method further includes obtaining action histories of the plurality of abnormal state items, The display includes displaying a plurality of action histories of the plurality of abnormal state items of the 1 battery, and displaying an action history of the attention state item among the plurality of action histories in a manner different from the other action histories.
  14. 14. An information processing device is provided with: An acquisition unit that acquires a plurality of abnormal state items that represent state items in which abnormal values are detected among a plurality of state items that represent a plurality of states of a plurality of batteries, and A display unit that displays the plurality of abnormal state items and displays a focused state item, which is an abnormal state item to be dealt with, among the plurality of abnormal state items in a manner different from other abnormal state items.
  15. 15. An information processing program that causes a computer to function such that: acquiring a plurality of abnormal state items representing state items in which abnormal values are detected among a plurality of state items, the plurality of abnormal state items representing a plurality of states of a plurality of batteries; the plurality of abnormal state items are displayed, and a focused state item, which is an abnormal state item to be dealt with, among the plurality of abnormal state items is displayed in a different manner from other abnormal state items.

Description

Information processing method, information processing device, and information processing program Technical Field The present disclosure relates to a technique of displaying a state item in which an abnormal value is detected among a plurality of state items representing a plurality of states of a battery. Background For example, patent document 1 discloses a battery in which abnormal degradation is diagnosed based on a battery operation history and a model, and a coefficient of an item deviated from a constraint condition is highlighted. However, in the above-described conventional technique, only the item determined to be abnormal is highlighted, and further improvement is required. Prior art literature Patent literature Patent document 1 Japanese patent application laid-open No. 2018-169161 Disclosure of Invention The present disclosure has been made to solve the above-described problems, and an object of the present disclosure is to provide a technique capable of supporting a user's determination of an error occurring in a battery. An information processing method according to the present disclosure is an information processing method in a computer, and includes acquiring a plurality of abnormal state items representing state items in which abnormal values are detected among a plurality of state items representing a plurality of states of a plurality of batteries, and displaying the plurality of abnormal state items and displaying a focused state item, which is an abnormal state item to be dealt with among the plurality of abnormal state items, in a manner different from other abnormal state items. According to the present disclosure, it is possible to support a user's judgment of an error occurring in a battery. Drawings Fig. 1 is a diagram showing the overall structure of a battery management system in an embodiment of the present disclosure. Fig. 2 is a sequence diagram for explaining the operation of the battery management system in the embodiment of the present disclosure. Fig. 3 is a diagram showing an example of a table in which abnormal state items, error items, and importance are associated with each other in the present embodiment. Fig. 4 is a diagram showing an example of an abnormal state item display screen for displaying a plurality of abnormal state items of a plurality of batteries in the present embodiment. Fig. 5 is a view showing an example of an abnormal state item display screen for displaying a plurality of abnormal state items of a plurality of batteries in modification 1 of the present embodiment. Fig. 6 is a view showing an example of an abnormal state item display screen for displaying a plurality of abnormal state items of a plurality of batteries in modification 2 of the present embodiment. Fig. 7 is a sequence diagram for explaining the operation of the battery management system in modification 3 of the embodiment of the present disclosure. Fig. 8 is a view showing an example of an abnormal state item display screen in which a plurality of abnormal state items are displayed in a list in modification 3 of the present embodiment. Fig. 9 is a flowchart for explaining the abnormality degree imparting process to the server in modification 4 of the embodiment of the present disclosure. Fig. 10 is a schematic diagram for explaining a1 st imparting method of the degree of abnormality in modification 4 of the present embodiment. Fig. 11 is a schematic diagram for explaining a method of imparting 2 nd degree of abnormality in modification 4 of the present embodiment. Fig. 12 is a diagram for explaining the degree of abnormality of a plurality of state items given to 1 battery in modification 4 of the present embodiment. Fig. 13 is a diagram showing an example of a table in which a plurality of status items of 1 battery, the number of times of occurrence of abnormality, and a threshold value are associated in modification 5 of the present embodiment. Fig. 14 is a flowchart for explaining the abnormality degree imparting process to the server in modification 5 of the embodiment of the present disclosure. Fig. 15 is a flowchart for explaining the abnormality degree imparting process to the server in modification 6 of the embodiment of the present disclosure. Fig. 16 is a diagram showing an example of a table in which a plurality of state items, a plurality of periods, the number of times of occurrence of an abnormality, and a threshold value of 1 battery are associated in modification 5 and modification 6 of the present embodiment. Fig. 17 is a flowchart for explaining the abnormality degree imparting process to the server in modification 7 of the embodiment of the present disclosure. Fig. 18 is a diagram for explaining the elapsed time in modification 7 of the present embodiment. Fig. 19 is a diagram showing an example of a table in which a plurality of status items of 1 battery, the number of days of occurrence of abnormality, and a threshold value are associated with each other in modi