CN-122018448-A - Coating weight loss rate prediction method, electronic device, and storage medium

CN122018448ACN 122018448 ACN122018448 ACN 122018448ACN-122018448-A

Abstract

The embodiment of the application discloses a coating weight loss rate prediction method, electronic equipment and a storage medium, wherein production control data acquired in a coating procedure of a battery pole piece and quality detection data generated by a manufacturing execution system corresponding to the battery pole piece are acquired, the quality detection data comprise a first coating weight loss rate obtained through detection in advance, detection time corresponding to the first coating weight loss rate, delay time between the detection time and production time of the battery pole piece are determined, a target time window is determined based on the detection time, the delay time and the production time, data alignment is carried out on the production control data and the quality detection data based on the target time window to obtain aligned coating data, and a second coating weight loss rate of the battery pole piece is predicted based on the aligned coating data. Therefore, the coating weight loss rate of the battery pole piece can be accurately and efficiently predicted, and the prediction efficiency of the coating weight loss rate of the battery pole piece is improved.

Inventors

TANG MIAO
WANG ZHEN
Shan Huitao
YANG JUN
HE YU

Assignees

惠州亿纬锂能股份有限公司

Dates

Publication Date: 20260512
Application Date: 20251205

Claims (11)

1. The coating weight loss rate prediction method is characterized by comprising the following steps of: Acquiring production control data acquired in a coating process of a battery pole piece and quality detection data generated by a manufacturing execution system corresponding to the battery pole piece, wherein the quality detection data comprises a first coating weightlessness rate obtained by detection in advance; determining detection time corresponding to the first coating weight loss rate, delay time between the detection time and production time of the battery pole piece; determining a target time window based on the detection time, the delay time length, and the production time length; Based on the target time window, carrying out data alignment on the production control data and the quality detection data to obtain aligned coating data; predicting a second coating weight loss rate of the battery pole piece based on the aligned coating data.
2. The coating weight loss rate prediction method according to claim 1, wherein the determining a target time window based on the detection time, the delay period, and the production period includes: determining a window starting point based on the detection time, the delay time length and the production time length; determining a window end point based on the detection time; and determining a target time window based on the window starting point and the window ending point.
3. The coating weight loss rate prediction method according to claim 1, wherein the performing data alignment on the production control data and the quality detection data based on the target time window to obtain aligned coating data comprises: and searching target production control data matched with the quality detection data in the production control data based on the target time window to obtain aligned coating data.
4. The coating weight loss rate prediction method according to claim 3, wherein searching for target production control data matching the quality detection data in the production control data based on the target time window, to obtain aligned coating data, comprises: Calculating a plurality of data statistics indexes corresponding to the production control data to obtain data statistics characteristics corresponding to the production control data; Searching a target data statistical feature matched with the quality detection data in the data statistical feature based on the target time window and the time information corresponding to the production control data; And obtaining aligned coating data based on the quality detection data and the target data statistical characteristics.
5. The coating weight loss rate prediction method according to any one of claims 1 to 4, wherein the predicting the second coating weight loss rate of the battery pole piece based on the aligned coating data includes: and predicting a second coating weight loss rate of the battery pole piece through a target prediction model based on the aligned coating data.
6. The method of claim 5, wherein the predicting the second coating weight loss rate of the battery pole piece by a target prediction model based on the aligned coating data further comprises: Calculating at least one evaluation index by adopting a plurality of candidate prediction models to obtain an index calculation result corresponding to the evaluation index; and screening a target prediction model from the prediction models based on the index calculation result.
7. The coating weight loss rate prediction method according to claim 6, wherein the screening the target prediction model from the prediction models based on the index calculation result comprises: normalizing the index calculation result to obtain an initial evaluation score; performing fusion processing on the initial evaluation score based on preset weight corresponding to the evaluation index to obtain a target evaluation score corresponding to the prediction model; And screening a target prediction model from the prediction models based on the target evaluation scores.
8. The method of claim 5, wherein the predicting the second coating weight loss rate of the battery pole piece by the target prediction model based on the aligned coating data further comprises: determining a model stability index corresponding to the target prediction model; Under the condition that the model stability index meets a preset stability condition, reducing the detection frequency of the first coating weight loss rate; Determining the model prediction precision of the target prediction model under the condition that the model stability index does not meet the preset stability condition; and if the model prediction accuracy of the target prediction model is reduced, increasing the detection frequency of the first coating weight loss rate.
9. The coating weight loss rate prediction method according to any one of claims 1 to 8, further comprising: And if the second coating weight loss rate of the battery pole piece is larger than a preset weight loss rate threshold value, executing alarm operation.
10. An electronic device comprising a processor and a memory, wherein the memory stores a computer program that, when executed by the processor, causes the processor to perform the steps of the coating weight loss rate prediction method of any one of claims 1-9.
11. A computer readable storage medium, comprising a computer program for causing an electronic device to perform the steps of the coating weight loss rate prediction method according to any one of claims 1-9 when the computer program is run on the electronic device.

Description

Coating weight loss rate prediction method, electronic device, and storage medium Technical Field The application relates to the technical field of batteries, in particular to a coating weight loss rate prediction method, electronic equipment and a storage medium. Background Quality control of the pole piece coating process of the battery directly affects consistency and safety of the finished battery. However, there is a problem in the existing production line that it is difficult to accurately align quality detection data from the manufacturing execution system (Manufacturing Execution System, MES) with production control data collected based on the internet of things (Internet of Things, ioT) device, especially in the case of no bar code association or small data samples, the quality detection data cannot be accurately aligned with the production control data, so that the coating weight loss rate of the battery pole piece cannot be accurately and efficiently predicted in the existing coating weight loss rate prediction method. Disclosure of Invention The embodiment of the application provides a coating weightlessness rate prediction method, electronic equipment and a storage medium, which can accurately align quality detection data with production control data, so that the coating weightlessness rate of a battery pole piece is accurately and efficiently predicted based on the aligned quality detection data and the aligned production control data, and the prediction efficiency of the coating weightlessness rate of the battery pole piece is further improved. The embodiment of the application provides a coating weight loss rate prediction method, which comprises the following steps: Acquiring production control data acquired in a coating process of a battery pole piece and quality detection data generated by a manufacturing execution system corresponding to the battery pole piece, wherein the quality detection data comprises a first coating weightlessness rate obtained by detection in advance; determining detection time corresponding to the first coating weight loss rate, delay time between the detection time and production time of the battery pole piece; determining a target time window based on the detection time, the delay time length, and the production time length; Based on the target time window, carrying out data alignment on the production control data and the quality detection data to obtain aligned coating data; predicting a second coating weight loss rate of the battery pole piece based on the aligned coating data. In an embodiment, the determining the target time window based on the detection time, the delay time period, and the production time period includes: determining a window starting point based on the detection time, the delay time length and the production time length; determining a window end point based on the detection time; and determining a target time window based on the window starting point and the window ending point. In this way, the target time window for data alignment is dynamically determined according to the detection time, the delay time and the production time of the pole piece corresponding to the quality detection data, so that accurate data alignment of the production control data and the quality detection data can be realized based on the dynamically determined time window. In an embodiment, the performing data alignment on the production control data and the quality detection data based on the target time window to obtain aligned coating data includes: and searching target production control data matched with the quality detection data in the production control data based on the target time window to obtain aligned coating data. Therefore, the accuracy of carrying out data alignment on the production control data and the quality detection data can be improved by carrying out data alignment on the production control data and the quality detection data based on the dynamic target time window, and the prediction efficiency of the coating weightlessness rate of the battery pole piece is further improved. In an embodiment, the searching the production control data for the target production control data matching the quality detection data based on the target time window to obtain aligned coating data includes: Calculating a plurality of data statistics indexes corresponding to the production control data to obtain data statistics characteristics corresponding to the production control data; Searching a target data statistical feature matched with the quality detection data in the data statistical feature based on the target time window and the time information corresponding to the production control data; And obtaining aligned coating data based on the quality detection data and the target data statistical characteristics. Therefore, the accuracy of data alignment can be improved, and the prediction efficiency of the coating weightlessness rate of the battery pole piece