… In this work, the capabilities of a novel unscented Kalman filter are examined. The unknown
input is estimated in two stages within each time step. Firstly, the predicted dynamic states …

… a SOC estimation method with the adaptive unscented Kalman filter (AUKF) based on an …
based on the extended Kalman filter (EKF) algorithm and unscented Kalman filter (UKF) …

… unscented Kalman filter (EAUKF) is proposed to solve vehicle estimation under unknown
noise conditions. The general exponential attenuation adaptive Kalman filter … Kalman filtering …

Precise state of charge (SOC) estimation is crucial to assure safe and reliable operation of
lithium-ion battery in electric vehicles. Adaptive unscented Kalman filter (AUKF) has been …

… The unscented Kalman filter (UKF) has proved to be a promising methodology to integrate
… The proposed method extends the concept of ML estimation from the linear Kalman filter to …

… Over the past fifty years, the Kalman filter has been a pervasive tool … Kalman Filter (EKF), or
to the more recent Unscented … of the extended or the unscented Kalman filter on a manifold, …

… -based Gaussian filter, named the unscented Kalman filter (UKF), was introduced in the
nineties, which offered several advantages over the derivativebased Gaussian filters. Since the …

… relaxation for the unscented transformation (UT) that … Kalman filter is referred to as unscented
Kalman filter (UKF) [2]. The methods are applied in distributed filtering [6], consensus filter [7…

… -dimensional filters run faster than one high-dimensional filter. The unscented Kalman filter
(… the Lagrange multiplier technique and the Sigma Point Kalman filter (SPKF) is presented [30]…

… dynamic adaptive square-root unscented Kalman filtering (DSAR-UKF) … unscented Kalman
filtering (SR-UKF) method, a noise covariance matching method based on an adaptive filter is …