CU Boulder News & Events

ECEA 5850 Kalman-Filter Boot Camp and State-Estimation Application

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 ...
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 ...
Nature

Joint estimation of SOC and SOH for lithium-ion batteries based on FOAMIUHF-UKF model

Accurate and rapid estimation of power battery state of charge (SOC) and state of health (SOH) is crucial for ensuring the safe and reliable operation of electric vehicles. A joint SOC and SOH ...
CU Boulder News & Events

ECEA 5852 Nonlinear Kalman Filters, Parameter-Estimation Application

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 ...
Nature

A case study to compare the methods of SOC estimation for lithium-ion batteries using second-order RC circuit model

Accurate modeling and state-of-charge (SOC) estimation of power batteries are key issues in battery management systems (BMSs). In this study, a 24 Ah lithium-ion power battery is taken as the research ...