基于FBG阵列电池失效预警方法、装置、设备、介质及产品
By acquiring temperature, strain, refractive index, and air pressure data of lithium-ion batteries through a multi-parameter FBG sensor array, multi-dimensional coupled feature extraction and state identification are performed to achieve graded early warning of battery status. This solves the problems of inaccurate monitoring and delayed early warning in existing technologies and meets the safety management requirements of high-performance lithium-ion batteries.
CN122177977BActive Publication Date: 2026-07-17SOUTH CHINA UNIV OF TECH
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SOUTH CHINA UNIV OF TECH
- Filing Date
- 2026-05-12
- Publication Date
- 2026-07-17
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Figure CN122177977B_ABST
Abstract
本发明公开了一种基于FBG阵列电池失效预警方法、装置、设备、介质及产品，所述方法包括采用多参量FBG传感阵列获取目标电池的多参量数据；其中，所述多参量数据包括所述目标电池的温度数据、应变数据、折射率数据和气压数据；对所述多参量数据进行多维耦合特征提取得到所述目标电池的特征向量；对所述特征向量进行状态识别得到所述目标电池的当前状态类别和对应的置信度；根据所述当前状态类别和对应的置信度对所述目标电池进行分级预警。基于多参量FBG传感阵列和多维耦合特征提取能够实现多参量同步监测，并基于耦合机理对电池异常状态前兆进行识别，以满足高性能锂离子电池的安全管理需求。
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