Battery State-of-Charge (SOC) Estimation

Description

In this course, you will learn how to implement different state-of-charge estimation methods and to evaluate their relative merits. By the end of the course, you will be able to:
– Implement simple voltage-based and current-based state-of-charge estimators and understand their limitations
– Explain the purpose of each step in the sequential-probabilistic-inference solution
– Execute provided Octave/MATLAB script for a linear Kalman filter and evaluate results
– Execute provided Octave/MATLAB script for state-of-charge estimation using an extended Kalman filter on lab-test data and evaluate results
– Execute provided Octave/MATLAB script for state-of-charge estimation using an sigma-point Kalman filter on lab-test data and evaluate results
– Implement method to detect and discard faulty voltage-sensor measurements