Frequency response-based initial parameter estimation for SOC of lithium-ion battery

Kohei Natori, Keisuke Mizuno, Toru Namerikawa, Sabrina Sartori, Frank Eliassen

研究成果: Conference article査読

抄録

In this paper, we propose a novel parameter initial value estimation method of Lithium-ion battery for state of charge (SOC) estimation by using Local Regression Modeling (LRM) and Vector Fitting (VF). To estimate SOC accurately using nonlinear Extended Kalman Filter(EKF), an adequate set of initial parameters of the battery model are required. Therefore, we apply LRM and VF method to derive the initial parameters and the battery model from a constructed database of frequency response data. In addition, we demonstrate the SOC estimation method using EKF by the determined initial value and model. Finally, the effectiveness of the proposed method is shown via several experimental results.

本文言語English
ページ(範囲)12695-12700
ページ数6
ジャーナルIFAC-PapersOnLine
53
2
DOI
出版ステータスPublished - 2020
イベント21st IFAC World Congress 2020 - Berlin, Germany
継続期間: 2020 7 122020 7 17

ASJC Scopus subject areas

  • 制御およびシステム工学

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