対数化UKFを用いたリチウムイオン電池の状態とパラメータの同時推定

カテゴリ: 論文誌(論文単位)

グループ名: 【D】産業応用部門

発行日: 2013/12/02

タイトル(英語): Simultaneous State and Logarithmic Parameter Estimation of Lithium-Ion Batteries using UKF

著者名: 馬場　厚志（慶應義塾大学 理工学部 物理情報工学科／カルソニックカンセイ（株）パワエレ設計グループ），足立　修一（慶應義塾大学 理工学部 物理情報工学科）

著者名(英語): Atsushi Baba (Department of Applied Physics and Physico-Informatics, Faculty of Science and Technology, Keio University/Power Electronics Components Design Group, Calsonic Kansei Corporation), Shuichi Adachi (Department of Applied Physics and Physico-Informatics, Faculty of Science and Technology, Keio University)

キーワード: 二次電池，電気自動車，状態とパラメータの同時推定，UKF，ワールブルグインピーダンス，対数化　　battery，electric vehicle (EV)，simultaneous state and parameter estimation，unscented Kalman filter，Warburg impedance，lognormal distribution

要約(英語): A rechargeable battery is one of the key technologies in hybrid electric vehicles (HEVs) and electric vehicles (EVs). Although it is important to know the states and parameters of the battery to maximize its efficiency and safety, there are still some difficulties in estimating them. This paper focuses on the simultaneous state and parameter estimation of the battery. The estimation often suffers from poor numerical stability, and to address this issue, simultaneous state and “logarithmic” parameter estimation of batteries is proposed and implemented. This approach is verified by performing a series of simulations under an EV operating environment.

本誌: 電気学会論文誌D（産業応用部門誌） Vol.133 No.12 （2013）

本誌掲載ページ: 1139-1147 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejias/133/12/133_1139/_article/-char/ja/