主管:中华人民共和国应急管理部
主办:应急管理部天津消防研究所
ISSN 1009-0029  CN 12-1311/TU

消防科学与技术 ›› 2024, Vol. 43 ›› Issue (5): 674-679.

• • 上一篇    下一篇

基于电池模块重构的储能电池异常两级诊断方法

王庭华, 吴静云, 何大瑞, 鄢博   

  1. (国网江苏省电力有限公司经济技术研究院,江苏 南京 210000)
  • 收稿日期:2024-02-02 修回日期:2024-04-17 出版日期:2024-05-15 发布日期:2024-05-15
  • 作者简介:王庭华(1967- ),男,国网江苏省电力公司经济技术研究院高级工程师,硕士,主要从事电力系统规划设计、储能电站设计与维护工作,江苏省南京市鼓楼区中山路251号,210000。
  • 基金资助:
    国网江苏省电力有限公司科技项目(J2022159)

A two-level diagnosis method for energy storage battery anomalies based on battery module reconfiguration

Wang Tinghua, He Darui, Wu Jingyun, Yan Bo   

  1. (State Grid Jiangsu Economic and Technological Research Institute, Jiangsu Nanjing 210000, China)
  • Received:2024-02-02 Revised:2024-04-17 Online:2024-05-15 Published:2024-05-15

摘要: 准确监测储能电池衰减异常是保障电池储能系统安全运行的关键。采用可重构电池拓扑结构是未来电池储能系统的一大趋势,而现有的基于数据驱动的电池健康状态评估方法多关注算法层面的改进,难以利用这一结构的优势。针对这一问题,提出一种异常电池两级诊断方法:初级诊断采用通过全工况全寿命周期模拟数据集训练的最小二乘支持向量机分类模型,筛选出疑似异常电池模块;二级诊断采用一种基于残差连接和门控循环单元的健康状态估算模型,实现对储能电池健康状态的准确估计,并验证初级诊断结果。试验结果表明,提出的诊断方法在两个诊断环节上均具有较高的准确率,在可重构电池拓扑结构基础上实现了储能电池衰减异常的准确监测。

关键词: 储能电池, 健康状态, 最小二乘支持向量机, 残差连接, 门控循环单元, 两级异常诊断

Abstract: Accurate monitoring of energy storage battery degradation anomalies is the key to ensure the safe operation of battery energy storage systems. The adoption of reconfigurable battery topology is a major trend for future battery energy storage systems, and existing data-driven battery health assessment methods primarily emphasize improvements at the algorithmic level, making it difficult to leverage the advantages of this framework. Aiming at this problem, this paper proposes a two-level diagnosis method for abnormal batteries; the primary diagnosis adopts a least-squares support vector machine classification model trained by full-condition full-life cycle simulation dataset to screen out the suspected abnormal battery modules; the secondary diagnosis adopts a health state estimation model based on residual connection and gated cyclic unit to realize the accurate estimation of the health state of the storage batteries and to verify the results of the primary diagnosis. The experimental results show that the diagnosis method proposed in this paper has a high accuracy rate in both diagnostic links, and realizes the accurate monitoring of energy storage battery attenuation anomalies on the basis of reconfigurable battery topology.

Key words: lithium-ion battery, fire, fire extinguishing agent, hydrogel, flame retardant