Carbon impression and the growing reliance on fossil fuels are two unique concerns for
world emission regulatory agencies. These issues have placed electric vehicles (EVs) …

The state of charge (SoC) is the most commonly used performance indicator of battery used
in various applications. A chronic erroneous estimation of battery SoC may result in constant …

Now in its second edition, this accessible text presents a unified Bayesian treatment of state-
of-the-art filtering, smoothing, and parameter estimation algorithms for non-linear state …

Due to its widespread application in the robotics field, the Kalman filter has received
increased attention from researchers. This work reviews some of the modifications …

The Kalman filter (KF) has received a huge interest from the industrial electronics community
and has played a key role in many engineering fields since the 1970s, ranging, without …

In this paper, we present a new nonlinear filter for high-dimensional state estimation, which
we have named the cubature Kalman filter (CKF). The heart of the CKF is a spherical-radial …

The extended Kalman filter (EKF) is probably the most widely used estimation algorithm for
nonlinear systems. However, more than 35 years of experience in the estimation community …

Space agencies are now realizing that much of what has previously been achieved using
hugely complex and costly single platform projects—large unmanned and manned satellites …

In this paper, we present incremental smoothing and mapping (iSAM), which is a novel
approach to the simultaneous localization and mapping problem that is based on fast …

With the increasing demand for electric vehicles, the interest in battery systems is growing. In
order to enable safe operation of these complex energy storage systems, methods of fault …