Method and device for lithium battery anomaly prediction, electronic equipment and readable storage medium
By acquiring the charging current and time data of lithium batteries, establishing corresponding relationships, and inputting them into the prediction model, the problem of predicting lithium battery anomalies has been solved, enabling early detection of anomalies, avoiding damage, and improving maintenance efficiency.
CN115372831BActive Publication Date: 2026-04-21HUNAN HUAMEI XINGTAI TECH CO LTD
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Patent Information
- Application Number
- CN202211128516.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-09-16
- Publication Date
- 2026-04-21
- Estimated Expiration
- 2042-09-16
AI Technical Summary
Technical Problem
Current technology cannot effectively predict lithium battery anomalies, leading to capacity reduction and damage, and cannot prevent the occurrence of anomalies in advance.
Method used
By acquiring the current charging current and time data of lithium batteries, establishing a corresponding relationship, and inputting it into the prediction model, abnormal predicted batteries and their location information are identified, and abnormal predicted charging data is displayed in advance.
Benefits of technology
It enables timely prediction of lithium battery anomalies, avoids abnormal situations, and improves maintenance efficiency and prediction accuracy.
✦ Generated by Eureka AI based on patent content.
Abstract
The application relates to a lithium battery anomaly prediction method and device, electronic equipment and readable storage medium, and relates to the technical field of lithium battery detection. The method comprises the following steps: acquiring current charging current data and current charging time data corresponding to each lithium battery respectively, establishing a first corresponding relationship of the current charging current data and the current charging time data, then inputting the first corresponding relationship, the current charging time data and the current charging current data into a prediction model, determining an anomaly prediction battery and anomaly prediction charging data, acquiring position information of the anomaly prediction battery, and controlling the display of the position information and the anomaly prediction charging data. The lithium battery anomaly prediction method, device, electronic equipment and readable storage medium provided by the application can discover the anomaly of the lithium battery in advance, so that the lithium battery anomaly can be avoided.
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