CN-122017618-A - Battery parameter monitoring method, battery parameter monitoring system and computer equipment

CN122017618ACN 122017618 ACN122017618 ACN 122017618ACN-122017618-A

Abstract

The application discloses a battery parameter monitoring method, a battery parameter monitoring system, a computer device and a computer readable storage medium. The method includes configuring an anomaly determination criterion associated with a preset process scene element in response to a received configuration instruction. And carrying out abnormality judgment on the collected electrical performance parameters of the battery according to an abnormality judgment standard, and determining the abnormal condition of the battery. And inquiring and displaying the corresponding target abnormal condition from the abnormal condition of the battery according to the received target process scene elements and the inquiring time interval. In this way, by configuring the abnormality determination standard associated with the preset process scene element, flexible adaptation of the abnormality determination standard can be realized, so that the problem of insufficient pertinence of the traditional monitoring method can be solved. And through accurate inquiry screening and result display, the abnormal data can be traced back fast, and data support is provided for production process optimization.

Inventors

FENG HANG
LI YANG
LI ZHENGMING
MA TIANGUO
PENG AICHENG
WANG SHIFENG

Assignees

惠州亿纬锂能股份有限公司

Dates

Publication Date: 20260512
Application Date: 20260106

Claims (14)

1. A method for monitoring parameters of a battery, the method comprising: configuring an abnormality determination criterion associated with a preset process scene element in response to the received configuration instruction; according to the abnormality judgment standard, carrying out abnormality judgment on the collected electrical performance parameters of the battery, and determining the abnormality condition of the battery; And inquiring and displaying the corresponding target abnormal condition from the abnormal conditions of the battery according to the received target process scene elements and the inquiring time interval.
2. The method of claim 1, wherein the predetermined process scenario element comprises at least one of a parameter type, a production line, a production process, and model information of the battery, the parameter type comprising a voltage, an internal resistance, a capacity fade coefficient, or a voltage drop rate.
3. The battery parameter monitoring method of claim 2, wherein the anomaly determination criteria comprises master table configuration data, and the configuring the anomaly determination criteria associated with the preset process scene elements in response to the received configuration instructions comprises: And configuring main table information of the abnormality determination standard according to the received first trigger signal, and generating main table configuration data, wherein a first target field of the main table information comprises at least one of the parameter type, the name of the abnormality determination standard, the production line, the production procedure and the model information, the main table configuration data comprises codes in the abnormality determination standard, and the codes in the abnormality determination standard are generated based on the production procedure and the model information.
4. A battery parameter monitoring method according to claim 3, characterized in that the method further comprises: Checking the complete state of a second target field of the main table configuration data and the existence of a history abnormality determination standard which is the same as a preset process scene element of the abnormality determination standard and is started according to a received second trigger signal aiming at the main table configuration data; and storing the abnormality determination standard under the condition that the second target field is complete and no historical abnormality determination standard which is the same as the preset process scene element of the abnormality determination standard and is enabled exists.
5. The method of claim 4, wherein the anomaly determination criteria comprises sub-table configuration data, and wherein configuring anomaly determination criteria associated with a preset process scenario element in response to a received configuration instruction comprises: And configuring rule detail information of the abnormality judgment standard according to the received third trigger signal, and generating sub-table configuration data, wherein the rule detail information comprises at least one of a test time interval, a priority, a parameter name and standard threshold information, the priority is non-repeatable numerical data, and the standard threshold information is used for defining a compliance threshold interval of the parameter name.
6. The battery parameter monitoring method of claim 5, further comprising: Checking the validity state of the main table of the abnormality judgment standard and the integrity of a third target field of the sub-table configuration data according to a received fourth trigger signal aiming at the sub-table configuration data, wherein the third target field comprises priority and/or parameter names; and storing the sub-table configuration data under the condition that the main table is in a disabled state and the third target field is complete.
7. The battery parameter monitoring method according to any one of claims 3 to 6, characterized in that the method further comprises: And switching the validity state of the abnormality determination standard according to the received fifth trigger signal, wherein the validity state comprises an enabling state and a disabling state.
8. The battery parameter monitoring method of claim 6, further comprising: when the abnormality judgment standard is in the disabled state, editing the main table configuration data and/or the sub-table configuration data according to the received sixth trigger signal; and carrying out logic deletion processing on the main table configuration data and/or the sub-table configuration data according to the received seventh trigger signal.
9. The battery parameter monitoring method according to claim 5 or 6, characterized in that the method further comprises: and inquiring the abnormality judgment standard according to the received eighth trigger signal and a first inquiry condition, wherein the first inquiry condition comprises the name of the abnormality judgment standard, the model information, the production process and/or the validity state of the abnormality judgment standard.
10. The method for monitoring parameters of a battery according to claim 5 or 6, wherein the determining the abnormality of the collected electrical performance parameters of the battery according to the abnormality determination criteria includes: acquiring electrochemical parameters of the target battery in the test time interval; performing outlier rejection treatment on the electrochemical parameters; Calculating a target judgment value according to the electrochemical parameter subjected to the abnormal value elimination treatment and the test time interval; and determining the abnormal condition of the target battery according to the target judgment value and the standard threshold information.
11. The method for monitoring parameters of a battery according to any one of claims 1 to 6, wherein the querying and displaying the corresponding target abnormal situation from the abnormal situations of the battery according to the received target process scene element and the query time interval includes: According to the received ninth trigger signal, checking the integrity of the acquired second query condition, wherein the second query condition comprises the target process scene element and a target time interval, and the target process scene element comprises at least one of a target parameter type, a target production line, a target production procedure and target model information; And under the condition that the second query condition is complete, querying according to the second query condition, and determining a target abnormal condition corresponding to the second query condition from abnormal conditions of the battery.
12. The battery parameter monitoring system is characterized by comprising a battery parameter monitoring device, wherein the battery parameter monitoring device comprises a rule configuration module, a rule execution module and a result query module; The rule configuration module is configured to respond to the received configuration instruction and configure an abnormality judgment standard associated with a preset process scene element; the rule execution module is configured to perform abnormality judgment on the collected electrical performance parameters of the battery according to the abnormality judgment standard, and determine the abnormal condition of the battery; The result query module is configured to query and display a corresponding target abnormal condition from abnormal conditions of the battery according to the received target process scene elements and the query time interval.
13. A computer device comprising a processor and a memory, the memory having stored therein a computer program, the processor implementing the steps of the method of any of claims 1-11 when the computer program is executed.
14. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the method of any of claims 1-11.

Description

Battery parameter monitoring method, battery parameter monitoring system and computer equipment Technical Field The present invention relates to the field of battery detection technology, and in particular, to a battery parameter monitoring method, a battery parameter monitoring system, a computer device, and a computer readable storage medium. Background In the related art, a battery parameter monitoring system often adopts a fixed threshold or manual verification mode to perform abnormality judgment on a battery. Therefore, the method cannot flexibly adapt to the different process scenes formed by combining different production lines, working procedures and product models, and has the defects of low monitoring efficiency and incomplete abnormal identification. Disclosure of Invention The application provides a battery parameter monitoring method, a battery parameter monitoring system, a computer device and a computer readable storage medium. The embodiment of the application provides a battery parameter monitoring method, which comprises the following steps: configuring an abnormality determination criterion associated with a preset process scene element in response to the received configuration instruction; according to the abnormality judgment standard, carrying out abnormality judgment on the collected electrical performance parameters of the battery, and determining the abnormality condition of the battery; And inquiring and displaying the corresponding target abnormal condition from the abnormal conditions of the battery according to the received target process scene elements and the inquiring time interval. In this manner, the anomaly determination criteria associated with the preset process scene elements are configured in response to the received configuration instructions. And then, according to the abnormality judgment standard, carrying out abnormality judgment on the collected electrical performance parameters of the battery, and determining the abnormal condition of the battery. And finally, inquiring and displaying the corresponding target abnormal condition from the abnormal condition of the battery according to the received target process scene element and the inquiring time interval. In this way, by configuring the abnormality determination standard associated with the preset process scene element, flexible adaptation of the abnormality determination standard can be realized, so that the problem of insufficient pertinence of the traditional monitoring method can be solved. And through accurate inquiry screening and result display, the abnormal data can be traced back fast, and data support is provided for production process optimization. In some embodiments, the preset process scenario element includes at least one of a parameter type of the battery, including a voltage, an internal resistance, a capacity fade coefficient, or a voltage drop rate, a production line, a production process, and model information. As such, the preset process scenario elements include at least one of a parameter type of the battery, including a voltage, an internal resistance, a capacity fade coefficient, or a voltage drop rate, a production line, a production process, and model information. In this way, by definitely presetting the specific constitution of the process scene elements and the core range of the parameter types, clear configuration basis is provided for the configuration of the abnormal judgment standard, so that the specific abnormal judgment standard can be configured according to the different requirements of different product models and production line procedures, and misjudgment and missed judgment are avoided. In some embodiments, the anomaly determination criteria includes master table configuration data, and the configuring the anomaly determination criteria associated with the preset process scene elements in response to the received configuration instructions includes: And configuring main table information of the abnormality determination standard according to the received first trigger signal, and generating main table configuration data, wherein a first target field of the main table information comprises at least one of the parameter type, the name of the abnormality determination standard, the production line, the production procedure and the model information, the main table configuration data comprises codes in the abnormality determination standard, and the codes in the abnormality determination standard are generated based on the production procedure and the model information. In this way, according to the received first trigger signal, the main table information of the abnormality determination standard is configured to generate main table configuration data, the first target field of the main table information includes at least one of a parameter type, a name of the abnormality determination standard, a production line, a production process, and model information, the main tab