CU Boulder News & Events

ECEA 5732 Battery State-of-Charge (SOC) Estimation

In this course, you will learn how to implement different state-of-charge estimation methods and to evaluate their relative merits. Prior knowledge needed: ECEA 5730, ECEA 5731, a Bachelor’s degree in ...
IEEE

Variational Bayesian and Multi-Kernel Correntropy-Based Unscented Kalman Filter for Battery ...

Abstract: Accurately estimating the state of charge (SOC) is crucial for achieving optimal energy management and ensuring safety in Lithium-ion batteries. However, the precision of SOC estimation is ...
IEEE

Switching Kalman Filter for State-of-Charge Estimation of Li-ion Battery Balancing Systems

Abstract: State of charge (SOC) estimation of lithium-ion batteries has been extensively studied, and most of the existing research focuses on SOC estimation of individual lithium-ion battery. In ...
EurekAlert!

A novel SOC estimation model: combining machine learning and Kalman filtering

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 ...
EurekAlert!

A breakthrough in state-of-charge estimation for battery management of electric vehicles

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) ...