This course can also be taken for academic credit as ECEA 5734, 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 design balancers and power-limits estimators for lithium-ion battery packs

## Start working towards your Master's degree

## Syllabus - What you will learn from this course

**3 hours to complete**

### Passive balancing methods for battery packs

**3 hours to complete**

**3 hours to complete**

### Active balancing methods for battery packs

**3 hours to complete**

**2 hours to complete**

### How to find available battery power using a simplified cell model

**2 hours to complete**

**4 hours to complete**

### How to find available battery power using a comprehensive cell model

**4 hours to complete**

## Reviews

- 5 stars93.02%
- 4 stars4.65%
- 3 stars1.16%
- 1 star1.16%

### TOP REVIEWS FROM BATTERY PACK BALANCING AND POWER ESTIMATION

great to having this course help me out through such vast and eternal experines as in simple and effective way.

This is one of the best and most useful specialization in my eyes. I would encourage every person interested in EV domain to learn it. Thank you Dr Gregory Plett for this course

Especially the last Week 6 (Honors Course) was extremely useful, to better understand the advanced physical/chemical models for lithium batteries.

This is a superb course and specialization. A big thanks to Prof Gregory and the rest of the team that made it happen.

## About the Algorithms for Battery Management Systems Specialization

## Frequently Asked Questions

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