超级电容动态参数等效电路模型及实时辨识方法
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TM53

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国家电网有限公司科技项目(SGJBZJ00FZJS2250089);国家自然科学基金(52206109)


Equivalent circuit model with dynamic parameters and real-time identification for supercapacitors
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    摘要:

    针对超级电容传统静态参数等效电路模型不能有效反映其动态工作特性问题,提出一种包含动态充放电内阻和电容参数的二阶梯形等效电路模型,利用递推最小二乘法对二阶梯形等效电路模型参数进行初步离线辨识.进一步,考虑超级电容参数的动态变化,将离线辨识模型参数作为初值,引入带遗忘因子的递推最小二乘法对动态参数进行实时辨识.搭建超级电容仿真模型和实验测试平台,通过仿真和实验结果对比验证动态参数二阶梯形等效电路模型和实时辨识方法的有效性和准确性.结果表明:动态参数二阶梯形等效电路模型可以有效反映超级电容的动态充放电工作特性,与传统静态参数的三分支等效电路模型和二阶梯形等效电路模型相比,模型的精度分别提高2.08和3.56个百分点.

    Abstract:

    In view of the problem that traditional static parameter equivalent circuit model of a supercapacitor cannot effectively reflect its dynamic operating characteristics, a second-order ladder equivalent circuit model including dynamic charge/discharge resistance and capacitance parameters is proposed.The recursive least square method is used for preliminary offline parameter identification of the second-order ladder equivalent circuit model.Then the offline identified model parameters are used as initial values considering the dynamic change of the supercapacitor parameters, and the recursive least square method with forgetting factor is introduced to identify the dynamic parameters of supercapacitor in real-time.Simulation model and experimental test platform of the supercapacitor are established to verify the effectiveness and accuracy of the proposed equivalent circuit model and real-time identification method through comparison of simulation and experimental results.The results show that the second-order ladder equivalent circuit model with dynamic parameters can effectively reflect the dynamic charge/discharge operating characteristics of the supercapacitor.Compared with traditional three branch and second-order ladder equivalent circuit models with static parameters, the proposed model is improved in accuracy by over 2.08% and 3.56%, respectively.

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引用本文

高全成,王帅,周国威,王斌,李丽霞.超级电容动态参数等效电路模型及实时辨识方法[J].南京信息工程大学学报(自然科学版),2023,15(5):612-620
GAO Quancheng, WANG Shuai, ZHOU Guowei, WANG Bin, LI Lixia. Equivalent circuit model with dynamic parameters and real-time identification for supercapacitors[J]. Journal of Nanjing University of Information Science & Technology, 2023,15(5):612-620

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  • 收稿日期:2022-12-05
  • 在线发布日期: 2023-10-24

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