Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
Online ISSN : 2188-4749
Print ISSN : 2188-4730
第50回ISCIE「確率システム理論と応用」国際シンポジウム(2018年11月, 京都)
SOC Estimation of Lithium-Ion Battery by Extended Kalman Fixed Lag Smoother
Yuma ImotoKiyotsugu TakabaL. LinM. Fukui
著者情報
ジャーナル フリー

2019 年 2019 巻 p. 83-87

詳細
抄録

This paper is concerned with the State-of-charge (SOC) estimation for lithium-ion batteries by the Extended Kalman Fixed Lag Smoother (EKFLS). The Extended Kalman Filter (EKF) has been often used as an SOC estimation method for lithium-ion batteries. We employ the EKFLS for the SOC estimation focusing on the fact that the EKFLS can utilize more information than the EKF for the estimation. The effectiveness of the proposed method is verified by a charge-discharge experiment on a 18650 type lithium-ion battery.

著者関連情報
© 2019 ISCIE Symposium on Stochastic Systems Theory and Its Applications
前の記事 次の記事
feedback
Top