摘要
为了提高应急电源(Emergency Power Supply,EPS)蓄电池的荷电状态(state of charge,SOC)估计精度,提出一种EPS电源蓄电池在线荷电状态估计方法。采用一种参数优化的多核相关向量机(relevance vector machine,RVM)建立EPS蓄电池SOC估计模型,可以实现对EPS荷电状态的实时监测,为蓄电池的充放电管理提供重要依据,保证EPS电源系统的安全稳定运行。
An on-line estimation method for state of charge of emergency power supply(EPS)accumulator is proposed,in order to increase estimation accuracy of state of charge(SOC)of EPS accumulator. A multi-core relevance vector machine(RVM)with optimized parameters is adopted for establishing a SOC estimation model of EPS accumulator,thereby realizing real-time monitoring for EPS state of charge,supplying an important basis for charging / discharging management of accumulator and guaranteeing safe and stable operation of EPS system.
作者
周航
孙绍国
谷明
ZHOU Hang;SUN Shaoguo;GU Ming(Tianjin University Research Institute of Architectural Design and Urban Planning,Tianjin 300073,China)
出处
《建筑电气》
2019年第8期84-88,共5页
Building Electricity
关键词
应急电源
蓄电池
荷电状态
在线估计
多核相关向量机
充放电管理
实用度函数
SOC估计误差
emergency power supply
accumulator
state of charge
on-line estimation
multi-core relevance vector machine
charging/ discharging management
utility function
SOC estimation error
