State estimation in power systems entails the reconstruction of voltage magnitudes and phase angles across a network from a combination of measurements. Traditionally founded upon supervisory control ...

In the rapidly evolving landscape of electric vehicles (EVs) and large-scale energy storage systems, accurate battery management remains a critical challenge. The state-of-charge (SOC) ...

This course introduces the Kalman filter as a method that can solve problems related to estimating the hidden internal state of a dynamic system. It develops the background theoretical topics in state ...

Electric vehicles (EVs) have emerged as a promising trend for future development. Serving as the core energy source for EVs, lithium-ion batteries offer advantages. Accurate SoC estimation is vital ...

Energy storage systems, particularly batteries, are essential in modern energy infrastructure. They power devices such as portable electronics, electric vehicles, and grid storage systems. A key ...

As a follow-on course to "Linear Kalman Filter Deep Dive", this course derives the steps of the extended Kalman filter and the sigma-point Kalman filter for estimating the state of nonlinear dynamic ...