AC impedance based online state-of-charge estimation for Li-ion battery

Shing Lih Wu, Hung Cheng Chen, Ming Yang Tsai, Tong Chou Lin, Liang-Rui Chen

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

The accurate estimation of state-of-charge (SOC) is one of the most important core functions of a battery management system (BMS), which provides the essential information needed for battery management, monitoring, and status analysis. In this paper, an AC impedance based method is proposed for the accurate estimation of the SOC of a Li-ion battery. First, a 1kHz sinusoidal ripple was injected into a 18650 Li-ion battery and the AC impedance values were measured at 0% to 100% charging status at 10% increments. The correlation between SOC and AC impedance was then determined by linear regression. When it comes to practical application, a sinusoidal ripple is simply superposed into the charge/discharge source. The AC voltage and current of the battery is used to calculate the AC impedance, and this allows a fairly accurate estimation of the battery SOC. Final validation using a power analyzer and actual measurement showed the average error of SOC estimation to be within 4%. This encouraging result showed the proposed method can provide a simple and practical solution for online estimation of the SOC of Li-ion batteries.

原文English
主出版物標題Proceedings of the 2017 IEEE International Conference on Information, Communication and Engineering
主出版物子標題Information and Innovation for Modern Technology, ICICE 2017
編輯Artde Donald Kin-Tak Lam, Stephen D. Prior, Teen-Hang Meen
發行者Institute of Electrical and Electronics Engineers Inc.
頁面53-56
頁數4
ISBN(電子)9781538632024
DOIs
出版狀態Published - 2018 十月 1
事件2017 IEEE International Conference on Information, Communication and Engineering, ICICE 2017 - Xiamen, Fujian, China
持續時間: 2017 十一月 172017 十一月 20

出版系列

名字Proceedings of the 2017 IEEE International Conference on Information, Communication and Engineering: Information and Innovation for Modern Technology, ICICE 2017

Other

Other2017 IEEE International Conference on Information, Communication and Engineering, ICICE 2017
國家China
城市Xiamen, Fujian
期間17-11-1717-11-20

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems and Management

指紋 深入研究「AC impedance based online state-of-charge estimation for Li-ion battery」主題。共同形成了獨特的指紋。

  • 引用此

    Wu, S. L., Chen, H. C., Tsai, M. Y., Lin, T. C., & Chen, L-R. (2018). AC impedance based online state-of-charge estimation for Li-ion battery. 於 A. D. K-T. Lam, S. D. Prior, & T-H. Meen (編輯), Proceedings of the 2017 IEEE International Conference on Information, Communication and Engineering: Information and Innovation for Modern Technology, ICICE 2017 (頁 53-56). [8479183] (Proceedings of the 2017 IEEE International Conference on Information, Communication and Engineering: Information and Innovation for Modern Technology, ICICE 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICICE.2017.8479183