… This filter assumes an a priori knowledge of the process and measurement … Kalman filter,
which adaptively modifies the covariance. In this study, an adaptive extended Kalman filter (…

… algorithm is employed which can greatly better the dependence of the traditional filter … an
extended Kalman filter algorithm (EKF). Further, an adaptive extended Kalman filter algorithm (…

… based on Extended Kalman Filter (EKF). The different methods of battery SOC estimation
are comprehensively discussed. Then, the enhanced closed loop EKF estimator is proposed. …

… The extended Kalman filter (EKF) is a method for system state estimation in real time. In
our application, to estimate the SOC during charging and discharging, the EKF can be …

A more accurate battery state of charge (SOC) estimation method for electric drive vehicles
is developed based on a nonlinear battery model and an extended Kalman filter (EKF) …

… with the Kalman filters, which improves the estimation accuracy in some extent. To improve
the performance of Kalman filters in SoC estimation, the adaptive extended Kalman filter (…

… This paper tries to estimate the SOC of a Li-ion battery pack for an electrical vehicle using
improved extended Kalman filter (IEKF) which benefits from considering aging phenomenon in …

… the state of charge (SoC) of multiple types of lithium ion battery (LiB) cells with adaptive
extended Kalman filter (… battery model is employed for the state estimation. Based on the battery …

… network, fuzzy logic and Kalman filter have been investigated for … on neural network and
Extended Kalman Filter (EKF) based … give a brief introduction to extended Kalman filtering (EKF) …

… model and the extended Kalman filter algorithm, a … Extended Kalman filtering algorithm
for SoC estimation This section will introduce the basic procedure of the extended Kalman filter …