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

Offered By

Algorithms for Battery Management Systems Specialization

University of Colorado System

About this Course

In this course, you will learn how to design balancing systems and to compute remaining energy and available power for a battery pack. By the end of the course, you will be able to:
- Evaluate different design choices for cell balancing and articulate their relative merits
- Design component values for a simple passive balancing circuit
- Use provided Octave/MATLAB simulation tools to evaluate how quickly a battery pack must be balanced
- Compute remaining energy and available power using a simple cell model
- Use provided Octave/MATLAB script to compute available power using a comprehensive equivalent-circuit cell model

Start instantly and learn at your own schedule.

Reset deadlines in accordance to your schedule.

Suggested: 5 hours/week...

Subtitles: English...

Start instantly and learn at your own schedule.

Reset deadlines in accordance to your schedule.

Suggested: 5 hours/week...

Subtitles: English...

Week

1In previous courses, you learned how to write algorithms to satisfy the estimation requirements of a battery management system. Now, you will learn how to write algorithms for two primary control tasks: balancing and power-limits computations. This week, you will learn why battery packs naturally become unbalanced, some balancing strategies, and how passive circuits can be used to balance battery packs....

11 readings, 6 quizzes

Notes for lesson 5.1.11m

Frequently Asked Questions5m

Course Resources5m

How to Use Discussion Forums5m

Earn A Certificate5m

Notes for lesson 5.1.21m

Notes for lesson 5.1.31m

Notes for lesson 5.1.41m

Notes for lesson 5.1.51m

Notes for lesson 5.1.61m

Notes for lesson 5.1.71m

Practice quiz for lesson 5.1.29m

Practice quiz for lesson 5.1.39m

Practice quiz for lesson 5.1.49m

Practice quiz for lesson 5.1.59m

Practice quiz for lesson 5.1.69m

Quiz for week 130m

Week

2Passive balancing can be effective, but wastes energy. Active balancing methods attempt to conserve energy and have other advantages as well. This week, you will learn about active-balancing circuitry and methods, and will learn how to write Octave code to determine how quickly a battery pack can become out of balance. This is useful for determining the dominant factors leading to imbalance, and for estimating how quickly the pack must be balanced to maintain it in proper operational condition....

6 readings, 6 quizzes

Notes for lesson 5.2.11m

Notes for lesson 5.2.21m

Notes for lesson 5.2.31m

Notes for lesson 5.2.41m

Notes for lesson 5.2.51m

Notes for lesson 5.2.61m

Practice quiz for lesson 5.2.19m

Practice quiz for lesson 5.2.29m

Practice quiz for lesson 5.2.39m

Practice quiz for lesson 5.2.49m

Practice quiz for lesson 5.2.515m

Quiz for week 230m

Week

3This week, we begin by reviewing the HPPC power-limit method from course 1. Then, you will learn how to extend the method to satisfy limits on SOC, load power, and electronics current. You will learn how to implement the power-limits computation methods in Octave code, and will see results for a representative scenario....

5 readings, 5 quizzes

Notes for lesson 5.3.11m

Notes for lesson 5.3.21m

Notes for lesson 5.3.31m

Notes for lesson 5.3.41m

Notes for lesson 5.3.51m

Practice quiz for lesson 5.3.19m

Practice quiz for lesson 5.3.29m

Practice quiz for lesson 5.3.39m

Practice quiz for lesson 5.3.415m

Quiz for week 330m

Week

4The HPPC method, even as extended last week, makes some simplifying assumptions that are not met in practice. This week, we explore a more accurate method that uses full state information from an xKF as its input, along with a full ESC cell model to find power limits. You will learn how to implement this method in Octave code and will compare its computations to those from the HPPC method you learned about last week....

6 readings, 6 quizzes

Notes for lesson 5.4.11m

Notes for lesson 5.4.21m

Notes for lesson 5.4.31m

Notes for lesson 5.4.41m

Notes for lesson 5.4.51m

Notes for lesson 5.4.61m

Practice quiz for lesson 5.4.19m

Practice quiz for lesson 5.4.215m

Practice quiz for lesson 5.4.315m

Practice quiz for lesson 5.4.420m

Practice quiz for lesson 5.4.520m

Quiz for week 440m

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....

In this specialization, you will learn the major functions that must be performed by a battery management system, how lithium-ion battery cells work and how to model their behaviors mathematically, and how to write algorithms (computer methods) to estimate state-of-charge, state-of-health, remaining energy, and available power, and how to balance cells in a battery pack....

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?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

What is the refund policy?

Is financial aid available?

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