独立光伏用蓄电池容量在线预测新方法
发布时间：2018-10-17 09:36
【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。
[Abstract]:This paper analyzes the advantages and disadvantages of ammeter and electromotive force (EMF) in on-line prediction of current charge (SOC) of batteries, and puts forward a new method of on-line prediction of battery capacity using electromotive force and amperometric method in independent photovoltaic system. The factors that affect the accuracy of SOC estimation by amperometric method are modified, and a practical EMF prediction model suitable for general independent photovoltaic system is established, and the E-SOC relation curve of the battery is extracted. The electromotive force method based on electromotive force prediction model and the modified amperometric method are combined through a parallel weighted structure to realize complementary advantages and more accurate estimation of battery SOC. The experimental results show that the SOC prediction method is simple, real-time, high precision and good application prospect.
【作者单位】： 宁夏大学物理电气信息学院;宁夏大学资产管理处;
【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)
【分类号】：TM912.9
[Abstract]:This paper analyzes the advantages and disadvantages of ammeter and electromotive force (EMF) in on-line prediction of current charge (SOC) of batteries, and puts forward a new method of on-line prediction of battery capacity using electromotive force and amperometric method in independent photovoltaic system. The factors that affect the accuracy of SOC estimation by amperometric method are modified, and a practical EMF prediction model suitable for general independent photovoltaic system is established, and the E-SOC relation curve of the battery is extracted. The electromotive force method based on electromotive force prediction model and the modified amperometric method are combined through a parallel weighted structure to realize complementary advantages and more accurate estimation of battery SOC. The experimental results show that the SOC prediction method is simple, real-time, high precision and good application prospect.
【作者单位】： 宁夏大学物理电气信息学院;宁夏大学资产管理处;
【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)
【分类号】：TM912.9
【参考文献】
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1 仝猛;邵静s，
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