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基于LS-SVM的矿用隔爆电源蓄电池容量预测
引用本文:曹珍贯,虞刚.基于LS-SVM的矿用隔爆电源蓄电池容量预测[J].电源技术,2012,36(3):371-373.
作者姓名:曹珍贯  虞刚
作者单位:1. 中国矿业大学电信学院,江苏徐州221116;安徽理工大学电气学院,安徽淮南232001
2. 安徽理工大学电气学院,安徽淮南,232001
摘    要:现有煤矿安全监控系统不能实时在线检测备用蓄电池容量,造成交流断电后备用电池不能可靠运行。提出利用开路电压法检测备用蓄电池容量,通过LS-SVM对蓄电池放电数据进行训练,获取蓄电池端电压与容量的关系模型,在此基础上根据蓄电池端电压实现电池容量预测。通过实验表明,该方法能有效预测矿用隔爆电源备用蓄电池的剩余容量。

关 键 词:矿用隔爆电源  蓄电池容量检测  最小二乘支持向量机

Battery capacity prediction of mining flame-proof power based on LS-SVM
CAO Zhen-guan , YU Gang.Battery capacity prediction of mining flame-proof power based on LS-SVM[J].Chinese Journal of Power Sources,2012,36(3):371-373.
Authors:CAO Zhen-guan  YU Gang
Affiliation:1.Institute of Telecommunications,China University of Mine and Technology,Xuzhou Jiangsu 221116,China; 2.Institute of Telecommunications,Anhui University of Science and Technology,Huainan Anhui 232001,China)
Abstract:The backup battery can’t run reliably after the failure AC power,because the existing safety monitoring system used in mine can’t detect the real-time spare battery capacity.The method of open circuit voltage was proposed to detect the capacity of backup battery,the relation model between battery voltage and battery capacity was achieved by using LS-SVM to train discharge data of battery,and then,the battery capacity could be predicted according to the battery voltage.The experiment results show that the method can predict backup battery capacity of mining flame-proof power effectively.
Keywords:mining flame-proof power  battery capacity testing  least squares support vector machine(LS-SVM)
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