[1]口 尧,李日康,王学远,等.基于电化学阻抗谱的锂离子电池等效电路模型参数辨识方法[J].机械与电子,2021,(04):33-38.
 KOU Yao,LI Rikang,WANG Xueyuan,et al.A Parameter Identification Method of Lithium-ion Battery Equivalent Circuit Model Based on Electrochemical Impedance Spectroscopy[J].Machinery & Electronics,2021,(04):33-38.
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基于电化学阻抗谱的锂离子电池等效电路模型参数辨识方法()
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机械与电子[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2021年04期
页码:
33-38
栏目:
设计与研究
出版日期:
2021-04-24

文章信息/Info

Title:
A Parameter Identification Method of Lithium-ion Battery Equivalent Circuit Model Based on Electrochemical Impedance Spectroscopy
文章编号:
1001-2257(2021)04-0033-06
作者:
口 尧1李日康1王学远2戴海峰1魏学哲1
1. 同济大学新能源汽车工程中心,上海 2018042;
2.同济大学电子与信息工程学院,上海 201804
Author(s):
KOU Yao1 LI Rikang1WANG Xueyuan2 DAI Haifeng1 WEI Xuezhe1
1. Clean Energy Automotive Engineering Center, Tongji University, Shanghai 201804, China;
2. School of Electronics and Information Engineering, Tongji University, Shanghai 201804, China
关键词:
锂离子电池电化学阻抗谱等效电路模型参数辨识
Keywords:
Lithium-ion battery electrochemical impedance spectroscopy equivalent impedance model parameter identification
分类号:
TM912.9
文献标志码:
A
摘要:
针对常用的等效电路模型参数辨识软件在使用时需用户多次手动调整初始参数,不利于阻抗谱车载应用的问题,提出了一种无干预的等效电路模型参数辨识方法。根据电化学阻抗谱各特征成分与等效电路模型不同电路环节相对应的规律,通过分段拟合的方法自适应地获取阻抗谱拟合的初值,进而实现了等效电路模型参数辨识。通过解析不同老化状态、荷电状态、温度下的阻抗谱,发现该方法与常用参数辨识软件的结果保持一致,从而为阻抗谱在线应用提供了基础。
Abstract:
Aiming at the disadvantage that the commonly used equivalent circuit model parameter identification software requires the user to manually adjust the initial parameters many times during use, which is not conducive to the on-board application of impedance spectroscopy, a non-interventional equivalent circuit model parameter identification method is proposed. According to the law that each characteristic component of electrochemical impedance spectroscopy corresponds to the different circuit links of the equivalent circuit model, the initial value of impedance spectroscopy fitting is adaptively obtained through the method of segmented fitting, and then the parameter identification of the equivalent circuit model is realized. By analyzing impedance spectra under different SOH, SOC, and temperatures, it is found that this method is consistent with the results of commonly used parameter identification software, which provides a basis for online impedance spectroscopy applications.

参考文献/References:

[1] HUANG W, QAHOUQ J A. An online battery impedance measurement method using DC–DC power converter control[J]. IEEE Transactions on industrial electronics, 2014, 61(11): 5987-5995.
[2]QAHOUQ J A. Online battery impedance spectrum measurement method[C]//2016 IEEE Applied Power Electronics Conference and Exposition (APEC), 2016: 3611-3615.
[3]LEE Y D, PARK S Y, HAN S B. Online embedded impedance measurement using high-power battery charger[J]. IEEE Transactions on industry applications, 2014, 51(1): 498-508.
[4] 刘大同,周建宝,郭力萌, 等.锂离子电池健康评估和寿命预测综述[J].仪器仪表学报,2015,36(1):1-16.
[5] YUAN H F, DUNG L R. Offline state-of-health estimation for high-power lithium-ion batteries using three-point impedance extraction method[J]. IEEE Transactions on vehicular technology, 2016, 66(3): 2019-2032.
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备注/Memo

备注/Memo:
收稿日期:2021-01-12
基金项目:中国汽车产业创新发展联合基金项目(U1764256)
作者简介口 尧(1995—),男,甘肃平凉人,硕士,主要研究方向为电化学阻抗谱测量及其应用;李日康(1994—),男,广西桂林人,硕士,主要研究方   向为锂离子电池管理以及电化学阻抗谱;王学远(1990—),男,安徽阜阳人,博士后,主要研究方向为锂离子电池管理、阻抗研究及机制建模;戴海峰(1981—),男,江苏南通人,博士,教授,主要研究方向为汽车电子、动力电池成组及管理、燃料电池建模与控制、车载充电机;魏学哲(1970—),男,河南洛阳人,博士,教授,主要研究方向为汽车电子以及新能源汽车储能电源系统。
更新日期/Last Update: 2021-04-15