Robust battery state-of-charge estimation with improved convergence rate based on applying Busse's adaptive rule to extended Kalman filters.

• 主要な著者: Low, Wen Yao, Abdul Aziz, Mohd. Junaidi, Nik Idris, Nik Rumzi, Rai, Nor Akmal
• フォーマット: 論文
• 出版事項: Springer 2023
• 主題: TK Electrical engineering. Electronics Nuclear engineering
• オンライン･アクセス: http://eprints.utm.my/107076/; http://dx.doi.org/10.1007/s43236-023-00652-w

The extended Kalman filter (EKF) has been widely used to estimate the state-of-charge (SoC) of batteries over the past decade. Battery SoC estimation with the EKF is initialized without knowing the true value of the SoC. Thus, it requires a fast convergence rate to provide users with an accurate SoC...