带可变遗忘因子递推最小二乘法的超级电容模组等效模型参数辨识方法

doi:10.19595/j.cnki.1000-6753.tces.200023

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Abstract In order to accurately identify the parameters of the equivalent model of supercapacitor cell module in the backup power supply of the pitch system of megawatt wind turbine and to solve the problem that the gain decreases too fast due to the data saturation phenomenon, the three-branch equivalent circuit model for the supercapacitor cell module was established, and a parameter identification method of the equivalent circuit model of supercapacitor cell module based on variable forgetting factor recursive least squares(RLS) was proposed in this paper. Then, the Simulink simulation model was also established for the multi-method parameter identification of supercapacitor cell module, and the simulation and analysis were performed. The comprehensive error in the static self-discharge phase of this new method is 0.19%, which is 6.92% and 0.09% lower than circuit analysis method and segmentation optimization method, respectively. Its comprehensive error in the whole process is 1.22%, which is reduced by 9.5% and 1.6% compared with circuit analysis method and segmentation optimization method, respectively. The results show that the new method has higher identification accuracy than circuit analysis method and segmentation optimization method.

Key words： Supercapacitor cell module equivalent circuit model parameter identification variable forgetting factor

Received: 04 January 2020

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TM53

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	Xie Wenchao
	Zhao Yanming
	Fang Ziwei
	Liu Shuli

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Xie Wenchao,Zhao Yanming,Fang Ziwei等. Variable Forgetting Factor Recursive Least Squales Based Parameter Identification Method for the Equivalent Circuit Model of the Supercapacitor Cell Module[J]. Transactions of China Electrotechnical Society, 2021, 36(5): 996-1005.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.200023 OR https://dgjsxb.ces-transaction.com/EN/Y2021/V36/I5/996

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