Method, device and medium for detecting battery abnormality
By dividing the battery pack into battery groups and performing charging and discharging operations under preset trigger events, battery anomalies can be identified, solving the problem of insufficient battery anomaly identification in the prior art and improving the reliability and safety of battery detection.
CN117665598BActive Publication Date: 2026-06-09BYD CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BYD CO LTD
- Filing Date
- 2022-08-30
- Publication Date
- 2026-06-09
AI Technical Summary
Technical Problem
Existing technologies are unable to effectively identify battery anomalies under specific operating conditions, resulting in higher safety risks for electric vehicles.
Method used
By dividing the vehicle's battery pack into an upper battery pack and a lower battery pack, and by discharging the first battery pack and charging the second battery pack when a preset trigger event is detected, the battery data of each can be obtained, and abnormal individual batteries can be identified based on the differences in the data.
Benefits of technology
This increases the opportunity for battery anomaly detection, improves the reliability and accuracy of detection, and reduces vehicle safety hazards.
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Smart Images
Figure CN117665598B_ABST
Abstract
The present disclosure relates to a battery abnormality detection method, device and medium, the method is applied to a vehicle, comprising: in response to detecting a preset trigger event, discharging a first battery pack and charging a second battery pack, the first battery pack and the second battery pack are selected from upper and lower partial battery packs in a battery pack of the vehicle; obtaining first battery data of the first battery pack and second battery data of the second battery pack; determining an abnormal single battery in the first battery pack and / or the second battery pack according to the difference between the first battery data and the second battery data and the standard battery data respectively. The battery abnormality detection method of the present disclosure can sufficiently detect battery abnormalities and improve the reliability of battery abnormality detection results.
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