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:

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

Offered By

## About this Course

#### Shareable Certificate

#### 100% online

#### Course 4 of 5 in the

#### Flexible deadlines

#### Intermediate Level

#### Approx. 23 hours to complete

#### English

#### Shareable Certificate

#### 100% online

#### Course 4 of 5 in the

#### Flexible deadlines

#### Intermediate Level

#### Approx. 23 hours to complete

#### English

### Offered by

#### University of Colorado System

The University of Colorado is a recognized leader in higher education on the national and global stage. We collaborate to meet the diverse needs of our students and communities. We promote innovation, encourage discovery and support the extension of knowledge in ways unique to the state of Colorado and beyond.

## Syllabus - What you will learn from this course

**4 hours to complete**

## How does lithium-ion cell health degrade?

As battery cells age, their total capacities generally decrease and their resistances generally increase. This week, you will learn WHY this happens. You will learn about the specific physical and chemical mechanisms that cause degradation to lithium-ion battery cells. You will also learn why it is relatively simple to estimate and track changes to resistance, but why it is difficult to track changes to total capacity accurately.

**4 hours to complete**

**8 videos**

**12 readings**

**7 practice exercises**

**4 hours to complete**

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

Total capacity is often estimated using ordinary-least-squares (OLS) methods. This week, you will learn that this is a fundamentally incorrect approach, and will learn that a total-least-squares (TLS) method should be used instead. You will learn how to derive a weighted OLS solution, to use as a benchmark, and how to derive a weighted TLS solution also.

**4 hours to complete**

**7 videos**

**7 readings**

**7 practice exercises**

**4 hours to complete**

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

Unfortunately, the weighted TLS solution you learned in week 2 is not well suited for efficient computation on an embedded system like a BMS. As an intermediate step toward finding an efficient weighted TLS method, you will first learn a proportionally weighted TLS method this week. You will then learn how to generalize this to an "approximate weighted TLS" (AWTLS) method, which gives good estimates, and is feasible to implement on a BMS.

**4 hours to complete**

**7 videos**

**7 readings**

**7 practice exercises**

**4 hours to complete**

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

So far this course, you have learned a number of methods for estimating total capacity. This week, you will learn how to implement those methods in Octave code. You will also explore different simulation scenarios to benchmark how well each method works, in comparison with the others. The scenarios are representative of hybrid-electric-vehicle (HEV) and battery-electric-vehicle (BEV) applications, but the principles learned can be extrapolated to other similar application domains.

**4 hours to complete**

**6 videos**

**6 readings**

**6 practice exercises**

## About the Algorithms for Battery Management Systems Specialization

## Frequently Asked Questions

When will I have access to the lectures and assignments?

Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

What will I get if I subscribe to this Specialization?

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Is financial aid available?

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Will I earn university credit for completing the Course?

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