储能科学与技术 ›› 2024, Vol. 13 ›› Issue (7): 2447-2449.doi: 10.19799/j.cnki.2095-4239.2024.0558

• 储能系统与工程 • 上一篇    下一篇

网络分析模式下低温锂电池储能系统功能安全保障策略

方晖()   

  1. 惠州学院现代教育技术中心，广东 惠州 516007
  • 收稿日期:2024-06-19 修回日期:2024-07-12 出版日期:2024-07-28 发布日期:2024-07-23
  • 作者简介:方晖（1976—），男，硕士，高级实验师，研究方向为软件技术、教育技术，信息网络安全、数据安全，E-mail：hzxiaofang008@163.com。

Functional safety guarantee strategy for low temperature lithium battery energy storage system under network analysis mode

Hui FANG()   

  1. Modem Educational Technology Center of Huizhou University, Huizhou 516007, Guangdong, China
  • Received:2024-06-19 Revised:2024-07-12 Online:2024-07-28 Published:2024-07-23

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摘要：

随着全球能源结构的转型和可再生能源的广泛应用，低温锂电池储能系统因其优异的性能在极端环境条件下得到了快速发展。然而，其储能安全问题也日益凸显。本文首先分析了当前低温锂电池储能系统的应用结构与研究进展，在此基础上重点探讨网络分析技术如何提高低温锂电池储能系统的功能安全。旨在为低温锂电池储能系统的安全性能提升提供有价值的参考。

关键词: 低温, 网络环境, 大数据, 安全

Abstract:

With the transformation of the global energy structure and the widespread application of renewable energy, low-temperature lithium battery energy storage systems have rapidly developed under extreme environmental conditions due to their excellent performance. However, the issue of energy storage safety is becoming increasingly prominent. This article first analyzes the current application structure and research progress of low-temperature lithium battery energy storage systems, and on this basis, focuses on exploring how network analysis technology can improve the functional safety of low-temperature lithium battery energy storage systems. Intended to provide valuable reference for improving the safety performance of low-temperature lithium battery energy storage systems.

Key words: low temperature, network environment, big data, safety

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