RLS算法在碳基超级电容器参数辨识中的应用
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  • 英文篇名:Application of RLS algorithm to parameter identification of Carbon-supercapacitor
  • 作者:郭瑞 ; 刘敬力 ; 李宝华
  • 英文作者:GUO Rui;LIU Jingli;LI Baohua;Faculty of Electrical and Control Engineering, Liaoning Technical University;
  • 关键词:碳基超级电容器 ; 最小二乘法 ; 参数辨识 ; 遗忘因子 ; 数据饱和
  • 英文关键词:carbon-supercapacitor;;least-squares algorithm;;parameter identification;;forgetting factor;;data saturation
  • 中文刊名:FXKY
  • 英文刊名:Journal of Liaoning Technical University(Natural Science)
  • 机构:辽宁工程技术大学电气与控制工程学院;
  • 出版日期:2014-12-15
  • 出版单位:辽宁工程技术大学学报(自然科学版)
  • 年:2014
  • 期:v.33;No.196
  • 基金:国家自然科学基金资助项目(51177067)
  • 语种:中文;
  • 页:FXKY201412017
  • 页数:5
  • CN:12
  • ISSN:21-1379/N
  • 分类号:78-82
摘要
为改善传统碳基超级电容器模型不能同时兼顾简易性和精确性的缺点,提出一种解决碳基超级电容器模型参数辨识问题的新方法.构建一种能充分描述超级电容工作特性的参数辨识电路模型,采用带遗忘因子的最小二乘法(RLS)对电路参数进行辨识,并通过恒流充电实验方法及仿真研究对充电过程的电压和电流进行测量和比较.研究结果表明:该电路模型能克服传统最小二乘法易出现数据饱和的缺点,得到更为精确的模型辨识参数.
        In order to improve the disadvantage that traditional carbon-supercapacitor can not obtain simplification and accuracy simultaneously, a new method is put forward to solve the problems of parameter identification in the circuit model of carbon-supercapacitor. A kind of circuit model which can adequatelydescribe the work characteristic of the supercapacitor is established, and recursive least squares algorithm with forgetting factor is used in identifying the circuit parameters to finish the process of parameter identification. The actual current and voltage in the charging process are measured and compared through constant current charging experiments and simulating methods. The results of experiments and simulation show that this circuit can overcome the defect of data saturation in traditional Recursive Least-squares algorithm and obtain more accurate model identification parameters.
引文
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