Parameter Identification of Lithium-ion Battery Based on Multi-innovation Least Squares Algorithm

被引：0
|
作者：
Wei Z. [1 ]
Yuan K. [1 ]
Cheng L. [2 ]
Wang C. [2 ]
Xu H. [2 ]
Sun G. [1 ]
Zang H. [1 ]
机构：
[1] College of Energy and Electrical Engineering, Hohai University, Nanjing
[2] Nanjing Power Supply Company of State Grid Jiangsu Electric Power Co. Ltd., Nanjing
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2019年 / 43卷 / 15期
基金：
中国国家自然科学基金;
关键词：
Least squares algorithm; Lithium-ion battery; Multi-innovation; Parameter identification;
D O I：
10.7500/AEPS20180814005
中图分类号：
学科分类号：
摘要：
In order to ensure the safe and reliable operation of battery management system, it is necessary to accurately identify the parameters of lithium-ion battery model. A RC equivalent circuit model for lithium iron phosphate battery is established, based on which the parameters of lithium-ion battery model are identified. The parameters of lithium-ion battery model are greatly influenced by external factors and the results of parameter identification are limited by online information acquisition. Multi-innovation least squares identification algorithm is used to identify the parameters of lithium-ion battery model online. Three different charging/discharging experiments are carried out to collect data, and the parameters are identified according to the experimental data with different initial values. The accuracy of the identification results is described by comparing the errors between the estimated port voltage based on the identification results and the actual value. The experimental results show that the multi-innovation least squares identification algorithm has fast convergence and high accuracy. © 2019 Automation of Electric Power Systems Press.
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页码：139 / 145
页数：6
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