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

13 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルACC 2015 - 2015 American Control Conference
出版社Institute of Electrical and Electronics Engineers Inc.
ページ311-316
ページ数6
ISBN(電子版)9781479986842
DOI
出版ステータスPublished - 2015 7月 28
イベント2015 American Control Conference, ACC 2015 - Chicago, United States
継続期間: 2015 7月 12015 7月 3

出版物シリーズ

名前Proceedings of the American Control Conference
2015-July
ISSN(印刷版)0743-1619

Other

Other2015 American Control Conference, ACC 2015
国/地域United States
CityChicago
Period15/7/115/7/3

ASJC Scopus subject areas

  • 電子工学および電気工学

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