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一种通信机房蓄电池的评估方案

王磊 黄丰 莫辉强 王强 杨震 黄先南

电力信息与通信技术2025,Vol.23Issue(9):67-72,6.
电力信息与通信技术2025,Vol.23Issue(9):67-72,6.DOI:10.16543/j.2095-641x.electric.power.ict.2025.09.10

一种通信机房蓄电池的评估方案

An Evaluation Scheme for Communication Room Batteries

王磊 1黄丰 2莫辉强 3王强 4杨震 1黄先南1

作者信息

  • 1. 中国移动通信集团广东有限公司 广州分公司,广东省 广州市 510335
  • 2. 浙江省轨道交通运营管理集团有限公司,浙江省 杭州市 310005
  • 3. 浙江海宁轨道交通运营管理有限公司,浙江省 嘉兴市 314400
  • 4. 中国移动通信集团广东有限公司,广东省 广州市 510623
  • 折叠

摘要

Abstract

The battery in the communication room is one of the important components of the communication room system,and its operating status has a direct impact on ensuring the stable operation of the existing network.This paper proposes a joint evaluation scheme for the state of charge(SOC)of battery cells based on deep belief network(DBN)neural network and the state of health(SOH)of battery cells based on particle number filtering algorithm for the operation status of communication room batteries.This scheme takes the time series of battery voltage as the research object,uses DBN neural network to classify battery SOC,and uses particle number filtering algorithm to calculate battery SOH,achieving real-time evaluation of battery operation status in communication rooms.The simulation results show that the proposed method maintains a high level of accuracy in capacity estimation and life prediction compared to expert experience evaluation schemes.

关键词

通信机房蓄电池/深度置信网络/蓄电池荷电状态/粒子数滤波/蓄电池健康状态

Key words

communication room battery/deep belief network/state of charge/particle number filtering/the state of health of battery

分类

信息技术与安全科学

引用本文复制引用

王磊,黄丰,莫辉强,王强,杨震,黄先南..一种通信机房蓄电池的评估方案[J].电力信息与通信技术,2025,23(9):67-72,6.

电力信息与通信技术

1672-4844

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