Method and device for detecting abnormality of power battery, storage medium and computer program product
By monitoring the instantaneous voltage and temperature data of the power battery in real time and using abnormal diagnostic logic to identify the battery status, the problem of missed diagnosis and delayed diagnosis in the existing power battery AFE sampling system is solved, ensuring the safety and performance of the battery.
CN122410340APending Publication Date: 2026-07-17SAIC MOTOR
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SAIC MOTOR
- Filing Date
- 2025-01-16
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Existing AFE sampling system for power batteries has the potential for missed or delayed diagnosis, which could compromise the safety of the power battery.
Method used
The AFE sampling system collects instantaneous voltage and temperature data of the power battery, and uses voltage and temperature anomaly diagnosis logic to monitor the battery status in real time, identify voltage or temperature anomalies, and activate corresponding protection measures.
Benefits of technology
It enables timely and accurate diagnosis of power battery anomalies, improves the safety and overall performance of the battery pack, and avoids potential risks caused by faults.
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Figure CN122410340A_ABST
Abstract
本申请公开了一种动力电池的异常检测方法和装置、存储介质及计算机程序产品，涉及新能源汽车电池领域，该动力电池的异常检测方法包括：通过AFE采样系统采集动力电池的瞬时电压数据和瞬时温度数据，其中，所述动力电池设置于所述目标车辆中；根据所述瞬时电压数据对所述动力电池进行异常电压诊断，以及根据所述瞬时温度数据对所述动力电池进行异常温度诊断；在确定所述动力电池存在电压异常和 / 或温度异常的情况下，确定所述动力电池存在功能异常；采用上述方案，解决了相关技术中，现有的针对AFE采样系统的异常诊断方案存在漏诊断或者延迟诊断的可能性，动力电池的安全性得不到保障的问题。
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