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

This course is part of the Algorithms for Battery Management Systems Specialization

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## About this Course

## What you will learn

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

## Start working towards your Master's degree

## Syllabus - What you will learn from this course

**4 hours to complete**

### How does lithium-ion cell health degrade?

**4 hours to complete**

**4 hours to complete**

### Total-least-squares battery-cell capacity estimation

**4 hours to complete**

**4 hours to complete**

### Simplified total-least-squares battery-cell capacity estimates

**4 hours to complete**

**4 hours to complete**

### How to write code for the different total-capacity estimators

**4 hours to complete**

## Reviews

- 5 stars77.53%
- 4 stars17.39%
- 3 stars2.89%
- 2 stars1.44%
- 1 star0.72%

### TOP REVIEWS FROM BATTERY STATE-OF-HEALTH (SOH) ESTIMATION

It was very new to me, and very interesting stuff. It became even better with the instructor's skill.

I would love recommending it to my friends

Great course with a an emphasis on using the previous courses to create useful programs

Good course. Nice insight on optimization techniques. Problems and cases studies are really good

Gave brief overview of SOH and helps in understanding the basic concepts.

## About the Algorithms for Battery Management Systems Specialization

## Frequently Asked Questions

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