Power battery cell abnormality early warning method and device, electronic equipment and storage medium

By acquiring full-condition parameters of the power battery and establishing an anomaly detection model, the status of individual power battery cells can be monitored in real time, solving the problem of delayed fault diagnosis of power batteries in new energy vehicles, realizing accurate early warning and proactive maintenance, and improving the safety and range performance of new energy vehicles.

CN116224075BActive Publication Date: 2026-06-26CHERY COMMERCIAL VEHICLE (ANHUI) CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHERY COMMERCIAL VEHICLE (ANHUI) CO LTD
Filing Date
2023-02-27
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

The fault diagnosis function of existing new energy vehicle power batteries is lagging behind, which means that the power batteries cannot be repaired and can only be replaced when a fault is reported. Furthermore, problems such as short driving range are not effectively warned.

Method used

By acquiring the full-condition operating parameters of the power battery pack, an abnormal detection model for individual cells is established. Combined with voltage status data, abnormal conditions are monitored and warned in real time, including excessive differential pressure, overcharging, over-discharging, increasing differential pressure trend, and poor battery consistency. The cloud platform is used for real-time monitoring and judgment.

Benefits of technology

It enables accurate early warning of abnormalities in individual power battery cells, improves maintenance efficiency, enhances the driving experience, is applicable to new energy vehicles, and improves safety and the accuracy of early warning.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a power battery monomer abnormality early warning method and device, electronic equipment and storage medium. Including: acquiring full working condition state parameters of a power battery pack; respectively storing and accumulating voltage state data of monomer batteries in the power battery pack during charging and discharging; establishing a monomer battery abnormality detection model; inputting the voltage state data into the monomer battery abnormality detection model, combining the full working condition state parameters of the power battery pack, and determining monomer batteries in an abnormal state. The early warning information can be sent before the power battery cannot be repaired, the efficiency of inspection and repair is improved, the monomer battery abnormality alarm lag is avoided, and the advance and accuracy of the new energy automobile power battery safety early warning are improved.
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