采用权值配比优化的超级电容等效电路模型参数辨识

张乐; 续丹; 王斌; 马光亮; 李其玉; 周欢

doi:10.7652/xjtuxb201802015

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采用权值配比优化的超级电容等效电路模型参数辨识

更新时间：2025-07-09

- 采用权值配比优化的超级电容等效电路模型参数辨识
- Parameter Identification of the Equivalent Circuit Model of Supercapacitor using Weight Distribution Optimization
- 西安交通大学学报 2018年52卷第2期页码：96-102
- 作者机构：
  
  西安交通大学机械电子工程研究所,西安,710049
- 作者简介：
- 基金信息：
  
  : 2017-04-26。作者简介: 张乐(1991—),女,硕士生;王斌(通信作者),男,博士后。基金项目: 国家自然科学基金资助项目(51275379)
- DOI：10.7652/xjtuxb201802015
  中图分类号： TM53
- 网络首发：2018-02-10，
  
  纸质出版：2018
- 稿件说明：
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张乐, 续丹, 王斌, 等. 采用权值配比优化的超级电容等效电路模型参数辨识[J]. 西安交通大学学报, 2018,52(2):96-102.

Parameter Identification of the Equivalent Circuit Model of Supercapacitor using Weight Distribution Optimization[J]. 2018, 52(2): 96-102.
张乐, 续丹, 王斌, 等. 采用权值配比优化的超级电容等效电路模型参数辨识[J]. 西安交通大学学报, 2018,52(2):96-102. DOI： 10.7652/xjtuxb201802015.

Parameter Identification of the Equivalent Circuit Model of Supercapacitor using Weight Distribution Optimization[J]. 2018, 52(2): 96-102. DOI： 10.7652/xjtuxb201802015.

摘要

为提高超级电容模型的精度

提出了一种基于权值配比优化的超级电容等效电路模型参数辨识方法。在新威尔测试平台上对超级电容进行多种工步条件测试。基于超级电容三分支等效电路模型

分别采用递推最小二乘法和双线性变换方法辨识模型中各分支的相关参数。结合不同工步条件下2种参数辨识方法的优缺点

引入权值配比优化方法对超级电容等效电路模型的各分支参数进行修正。搭建超级电容等效电路模型

将模型计算结果与实验测试结果进行比较

验证了权值配比优化方法的有效性。与递推最小二乘法和双线性变换方法相比

采用权值配比优化方法可以更加准确地反映超级电容的特性

模型的精度分别提高了1.45%和1.78%。

Abstract

The accuracy of the model is very important for the control and performance optimization of the energy storage system of supercapacitor(SC). A parameter identification method of SC equivalent circuit model based on weight distribution optimization is proposed to improve the accuracy of models. The SC are tested with various operating conditions on a Neware test platform. On this basis

the recursive least square method and the bilinear transformation method are used to identify the related parameters of each branch of the three-branch equivalent circuit model of the SC. Furthermore

the weight distribution optimization method is introduced to modify the parameters of the SC equivalent circuit model by combining the advantages and disadvantages of the two parameter identification methods under different working steps. An equivalent circuit model of the SC is established to verify the effectiveness of the weight distribution optimization by comparing and analyzing the results calculated from the model and the experimental results. Comparisons with the recursive least squares method and the bilinear transformation method show that the weight distribution optimization method more accurately reflects the characteristics of SC

the accuracy of the proposed model is improved by 1.45% and 1.78%

respectively.

关键词

Keywords

references

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