Simultaneous state of charge and parameter estimation of lithium-ion battery using log-normalized unscented Kalman Filter

Atsushi Baba, Shuichi Adachi

研究成果: Conference contribution

8 引用 (Scopus)

抜粋

This paper discusses the simultaneous state of charge (SOC) and parameter estimation of the battery for electric vehicles (EVs) and hybrid electric vehicles (HEVs). Although it is important to know the SOC and parameters of the battery to maximize its longevity, performance and reliability, there are still some difficulties in estimating them. The estimation often suffers from the battery model complexity, the poor numerical stability, and the constraints of the physical parameters of the battery. To address such issues, this paper proposes a simultaneous SOC and parameter estimation method using log-normalized UKF (LnUKF) cooperated with the battery model considering diffusion phenomena. This approach is verified by performing a series of simulations using experimental data with an EV.

元の言語English
ホスト出版物のタイトルProceedings of the American Control Conference
出版者Institute of Electrical and Electronics Engineers Inc.
ページ311-316
ページ数6
2015-July
ISBN(印刷物)9781479986842
DOI
出版物ステータスPublished - 2015 7 28
イベント2015 American Control Conference, ACC 2015 - Chicago, United States
継続期間: 2015 7 12015 7 3

Other

Other2015 American Control Conference, ACC 2015
United States
Chicago
期間15/7/115/7/3

    フィンガープリント

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

これを引用

Baba, A., & Adachi, S. (2015). Simultaneous state of charge and parameter estimation of lithium-ion battery using log-normalized unscented Kalman Filter. : Proceedings of the American Control Conference (巻 2015-July, pp. 311-316). [7170754] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACC.2015.7170754