摘要
在分析蓄电池充电时间与容量之间的相关性的基础上,提出一种基于相关向量机(relevance vector machine, RVM)的蓄电池在线健康状态估计(state of health, SOH)方法,可以实现对应急电源(Emergency Power Supply, EPS)蓄电池健康状态的实时监测,对保证EPS的高效稳定运行和提高系统寿命有重要意义。
An method for on-line estimation for state of health(SOH)of the accumulator based on the relevance vector machine(RVM)is proposed on the basis of analysis of the relevance between the charging time and capacity of the accumulator,which can realize real-time monitoring of state of health of the accumulator of emergency power supply(EPS),with great significance to ensure efficient and stable operation of EPS and improve system service life.
作者
谷明
孙绍国
周航
GU Ming;SUN Shaoguo;ZHOU Hang(Tianjin University Research Institute of Architectural Design&Urban Planning,Tianjin 300073,China)
出处
《建筑电气》
2019年第9期30-34,共5页
Building Electricity
基金
天津大学建筑设计规划研究总院科研项目，项目名称：EPS电源SOH估计与电池管理系统的研究，项目编号：A015
关键词
应急电源
蓄电池
健康状态在线估计
电池管理系统
主控模块
阶段放电
恒压充电时间
交叉验证方法
emergency power supply
accumulator
on-line estimation of state of health
battery management system
main control module
stage discharge
constant voltage charging time
cross-validation method
