… , based on extended Kalman filtering (EKF), that is able to accomplish these goals on a
lithium-ion polymer battery pack. We expect that it will also work well on other battery chemistries. …

… on extended Kalman filtering (EKF), that are able to accomplish these goals for a lithium
ion polymer battery pack. We expect that they will also work well on other battery chemistries. …

… an essential role in many battery-powered applications, such as electric vehicle (EV) and
hybrid electric vehicle (HEV). However, commonly used joint/dual extended Kalman filter (EKF) …

… the Kalman filter theory to estimate the SOC by modeling the battery system to include the
unknown quantities in its state description. From Figure 2, we can see that the Kalman filter …

… In addition, an improved Thevenin battery model is achieved by adding an extra RC branch
… using an extended Kalman filter algorithm (EKF). Further, an adaptive extended Kalman filter …

… To solve these problems, this paper proposes a reduced order EKF implemented by a simple
battery model with a measurement noise model and data rejection. Generally, the battery …

… of a Li-ion battery pack for an electrical vehicle using improved extended Kalman filter (IEKF) …
In order to assemble a battery pack, we find cells with similar electrochemical characteristics…

… The extended Kalman filter (EKF) is widely used in nonlinear system states … Extended
Kalman filter development in Lebesgue sampling framework with an application to Li-ion battery …

… Extended Kalman Filter (AEKF) to estimate battery SoC through the measurements of battery
… order electrochemical model to estimate internal battery potentials, concentration gradients, …

… Based on the FFNN model and the extended Kalman filter algorithm, a FFNN-based SoC …
of the extended Kalman filter (EKF) and its application based on the NN model of a battery. …