位置:成果数据库 > 期刊 > 期刊详情页
Fractional Modeling and SOC Estimation of Lithium-ion Battery
  • ISSN号:1671-5896
  • 期刊名称:《吉林大学学报:信息科学版》
  • 时间:0
  • 分类:TM912[电气工程—电力电子与电力传动]
  • 作者机构:State Key Laboratory of Automotive Simulation and Control, Jilin University, Department of ControlScience and Engineering, Jilin University (Campus Nanling), Jilin University, IEEE, Department of Control Science and Engineering, Jilin University (Campus Nanling)
  • 相关基金:supported by National Natural Science Foundation of China(61520106008,U1564207,61503149);High Technology Research and Development Program of Jilin(20130204021GX);Specialized Research Fund for Graduate Course Identification System Program(Jilin University)of China(450060523183);Graduate Innovation Fund of Jilin University(2015148)
中文摘要:

This paper proposes a state of charge(SOC) estimator of Lithium-ion battery based on a fractional order impedance spectra model. Firstly, a battery fractional order impedance model is derived on the grounds of the characteristics of Warburg element and constant phase element(CPE) over a wide range of frequency domain. Secondly, a frequency fitting method and parameter identification algorithm based on output error are presented to identify parameters of the fractional order model of Lithium-ion battery. Finally, the fractional order Kalman filter approach is introduced to estimate the SOC of the lithium-ion battery based on the fractional order model. The simulation results show that the fractional-order model can ensure an acceptable accuracy of the SOC estimation, and the error of estimation reaches maximally up to 0.5 % SOC.

英文摘要:

This paper proposes a state of charge (SOC) estimator of Lithium-ion battery based on a fractional order impedance spectra model. Firstly, a battery fractional order impedance model is derived on the grounds of the characteristics of Warburg element and constant phase element (CPE) over a wide range of frequency domain. Secondly, a frequency fitting method and parameter identification algorithm based on output error are presented to identify parameters of the fractional order model of Lithium-ion battery. Finally, the fractional order Kalman filter approach is introduced to estimate the SOC of the lithium-ion battery based on the fractional order model. The simulation results show that the fractional-order model can ensure an acceptable accuracy of the SOC estimation, and the error of estimation reaches maximally up to 0.5% SOC. ? 2014 Chinese Association of Automation.

同期刊论文项目
同项目期刊论文
期刊信息
  • 《吉林大学学报:信息科学版》
  • 中国科技核心期刊
  • 主管单位:教育部
  • 主办单位:吉林大学
  • 主编:刘大有
  • 地址:长春市南湖大路5372号
  • 邮编:130012
  • 邮箱:nhxb@jlu.edu.cn
  • 电话:0431-85152552
  • 国际标准刊号:ISSN:1671-5896
  • 国内统一刊号:ISSN:22-1344/TN
  • 邮发代号:12-276
  • 获奖情况:
  • 全国优秀高校自然科学学报,吉林省一级科技期刊
  • 国内外数据库收录:
  • 美国化学文摘(网络版),波兰哥白尼索引,美国剑桥科学文摘,中国中国科技核心期刊
  • 被引量:5169