独立光伏用蓄电池容量在线预测新方法  

New improved prediction method about capacity of batteries for stand-alone photovoltaic system

作　　者：汤秀芬[1] 米晨[2] 罗劲松[1] 

机构地区：[1]宁夏大学物理电气信息学院,宁夏银川750021 [2]宁夏大学资产管理处,宁夏银川750021

出　　处：《实验技术与管理》2014年第11期43-47,共5页Experimental Technology and Management

基　　金：国家自然学基金资助项目(51167015);宁夏自然科学基金资助项目(NZ12160)

摘　　要：分析了安时计量法和电动势法在线预测电池当前荷电量(SOC)的利弊,提出了在独立光伏系统中采用电动势法与安时计量法联合的蓄电池容量在线预测的新方法。对影响安时计量法估算电池SOC精度的因素进行了修正,建立了适合一般独立光伏系统的实用电动势预测模型,提取了电池E-SOC关系曲线,将基于电动势预测模型的电动势法与经过修正的安时计量法通过一种并联加权的结构进行结合,实现了优势互补,完成了对电池SOC更加准确的估算。实验结果表明,该蓄电池SOC预测方法简单易行,实时性强,精度高,应用前景良好。This article analyzes advantages and disadvantages of state of charge（SOC）estimation of battery with Ampere hour counting method and electromotive force（EMF）method.A new method of online prediction is proposed with combination of Ampere hour counting method and electromotive force（EMF）method.Firstly,the factors,which affect the accuracy of SOC estimation of battery with Ampere hour counting method,are corrected.Then,the practical prediction model of EMF is established for general independent photovoltaic system,and the E-SOC relation curve is extracted for EMF method.Finally,this EMF method based on the prediction model of EMF is combined with corrected Ampere hour counting method through a parallel weighting structure,the complementary advantages are realized,and more accurate SOC estimating of battery is completed.The experimental results show that the SOC estimation method of battery is simple to operate,and has strong real-time performance,high precision,and good application prospects.

关 键 词：VRLA蓄电池 荷电量 在线预测 

分 类 号：TM912.9[电气工程—电力电子与电力传动]