Battery State-of-Health (SOH) Estimation

 

What you'll learn

How to implement state-of-health (SOH) estimators for lithium-ion battery cells

Join Free:Battery State-of-Health (SOH) Estimation

There are 6 modules in this course

This course can also be taken for academic credit as ECEA 5733, part of CU Boulder’s Master of Science in Electrical Engineering degree.

In this course, you will learn how to implement different state-of-health estimation methods and to evaluate their relative merits. By the end of the course, you will be able to:

- Identify the primary degradation mechanisms that occur in lithium-ion cells and understand how they work

- Execute provided Octave/MATLAB script to estimate total capacity using WLS, WTLS, and AWTLS methods and lab-test data, and to evaluate results

- Compute confidence intervals on total-capacity estimates 

- Compute estimates of a cell’s equivalent-series resistance using lab-test data

- Specify the tradeoffs between joint and dual estimation of state and parameters, and steps that must be taken to ensure robust estimates (honors)