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

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Gregory Plett

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Offered By

University of Colorado Boulder

University of Colorado System

Part of the Master of Science in Electrical Engineering degree
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Algorithms for Battery Management Systems SpecializationUniversity of Colorado Boulder

About this Course

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This course can also be taken for academic credit as ECEA 5731, part of CU Boulder’s Master of Science in Electrical Engineering degree.
In this course, you will learn the purpose of each component in an equivalent-circuit model of a lithium-ion battery cell, how to determine their parameter values from lab-test data, and how to use them to simulate cell behaviors under different load profiles. By the end of the course, you will be able to:
-	State the purpose for each component in an equivalent-circuit model
-	Compute approximate parameter values for a circuit model using data from a simple lab test
-	Determine coulombic efficiency of a cell from lab-test data 
-	Use provided Octave/MATLAB script to compute open-circuit-voltage relationship for a cell from lab-test data
-	Use provided Octave/MATLAB script to compute optimized values for dynamic parameters in model
-	Simulate an electric vehicle to yield estimates of range and to specify drivetrain components
-	Simulate battery packs to understand and predict behaviors when there is cell-to-cell variation in parameter values

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Course 2 of 5 in the

Algorithms for Battery Management Systems Specialization

Intermediate Level

Approx. 27 hours to complete

English

What you will learn

How to design equivalent-circuit models for lithium-ion battery cells

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 2 of 5 in the

Algorithms for Battery Management Systems Specialization

Intermediate Level

Approx. 27 hours to complete

English

Instructor

Instructor rating

4.77/5 (155 Ratings)

Gregory Plett

Professor

Electrical and Computer Engineering

59,511 Learners

5 Courses

Offered by

University of Colorado Boulder

University of Colorado System

Start working towards your Master's degree

This course is part of the 100% online Master of Science in Electrical Engineering from University of Colorado Boulder. If you are admitted to the full program, your courses count towards your degree learning.

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Syllabus - What you will learn from this course

Content Rating95%(8,884 ratings)

Week1

Week 1

5 hours to complete

Defining an equivalent-circuit model of a Li-ion cell

5 hours to complete

9 videos (Total 138 min), 14 readings, 8 quizzes

9 videos

2.1.1: Welcome to the course!7m2.1.2: How do we model open-circuit voltage (OCV) and state-of-charge (SOC)?21m2.1.3: How do we model voltage polarization?14m2.1.4: What is a "Warburg impedance" and how is it implemented?14m2.1.5: How do I convert a continuous-time model to a discrete-time model?24m2.1.6: What is a quick way to get approximate model parameter values?18m2.1.7: What is hysteresis in a lithium-ion cell and how can I model it?22m2.1.8: Summarizing an equivalent-circuit model of a lithium-ion cell9m2.1.9: Summary of "Defining an ECM of a Li-ion cell" and next steps5m

14 readings

Notes for lesson 2.1.11mFrequently asked questions5mCourse resources5mHow to use discussion forums5mEarn a course certificate5mAre you interested in earning an MSEE degree?5mNotes for lesson 2.1.21mNotes for lesson 2.1.31mNotes for lesson 2.1.41mNotes for lesson 2.1.51mNotes for lesson 2.1.61mNotes for lesson 2.1.71mNotes for lesson 2.1.81mNotes for lesson 2.1.91m

8 practice exercises

Practice quiz for lesson 2.1.210mPractice quiz for lesson 2.1.310mPractice quiz for lesson 2.1.410mPractice quiz for lesson 2.1.510mPractice quiz for lesson 2.1.610mPractice quiz for lesson 2.1.710mPractice quiz for lesson 2.1.810mQuiz for week 130m

Week2

Week 2

5 hours to complete

Identifying parameters of static model

5 hours to complete

6 videos (Total 85 min), 7 readings, 6 quizzes

6 videos

2.2.1: Lab equipment for cell characterization10m2.2.2: What cell tests are needed to determine open-circuit voltage?14m2.2.3: How to determine a cell's coulombic efficiency and total capacity18m2.2.4: How do I determine a cell's temperature-dependent OCV?19m2.2.5: Introducing Octave code to determine static part of ECM20m2.2.6: Summary of "Identifying parameters of static model" and next steps2m

7 readings

Notes for lesson 2.2.11mNotes for lesson 2.2.21mNotes for lesson 2.2.31mNotes for lesson 2.2.41mNotes for lesson 2.2.51mIntroducing a new element to the course!10mNotes for lesson 2.2.61m

6 practice exercises

Practice quiz for lesson 2.2.110mPractice quiz for lesson 2.2.230mPractice quiz for lesson 2.2.310mPractice quiz for lesson 2.2.410mPractice quiz for lesson 2.2.510mQuiz for week 230m

Week3

Week 3

7 hours to complete

Identifying parameters of dynamic model

7 hours to complete

9 videos (Total 158 min), 9 readings, 7 quizzes

9 videos

2.3.1: What cell tests are needed to determine dynamic-model parameters?19m2.3.2: How are cell data used to find dynamic-model parameter values?34m2.3.3: Introducing Octave code to determine dynamic part of an ECM33m2.3.4: Introducing Octave toolbox to use ECM16m2.3.5: Understanding Octave code to simulate an ECM9m2.3.6: Understanding Octave code to look up model parameter value7m2.3.7: Understanding Octave code to compute OCV19m2.3.8: Some example results from using the Octave ESC toolbox14m2.3.9: Summary of "Identifying parameters of dynamic model" and next steps4m

9 readings

Notes for lesson 2.3.11mNotes for lesson 2.3.21mNotes for lesson 2.3.31mNotes for lesson 2.3.41mNotes for lesson 2.3.51mNotes for lesson 2.3.61mNotes for lesson 2.3.71mNotes for lesson 2.3.81mNotes for lesson 2.3.91m

7 practice exercises

Practice quiz for lesson 2.3.16mPractice quiz for lesson 2.3.26mPractice quiz for lesson 2.3.330mPractice quiz for lesson 2.3.530mPractice quiz for lesson 2.3.630mPractice quiz for lesson 2.3.730mQuiz for week 330m

Week4

Week 4

6 hours to complete

Simulating battery packs in different configurations

6 hours to complete

6 videos (Total 85 min), 6 readings, 6 quizzes

6 videos

2.4.1: How do I use the ECM to simulate constant voltage?17m2.4.2: How do I use the ECM to simulate constant power?13m2.4.3: How do I simulate battery packs?17m2.4.4: Introducing Octave code to simulate PCMs20m2.4.5: Introducing Octave code to simulate SCMs11m2.4.6: Summary of "Simulating battery packs in different configurations" and next steps3m

6 readings

Notes for lesson 2.4.11mNotes for lesson 2.4.21mNotes for lesson 2.4.31mNotes for lesson 2.4.41mNotes for lesson 2.4.51mNotes for lesson 2.4.61m

6 practice exercises

Practice quiz for lesson 2.4.110mPractice quiz for lesson 2.4.210mPractice quiz for lesson 2.4.315mPractice quiz for lesson 2.4.430mPractice quiz for lesson 2.4.530mQuiz for week 430m

Reviews

4.7

133 reviews

5 stars
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TOP REVIEWS FROM EQUIVALENT CIRCUIT CELL MODEL SIMULATION

by PAMay 12, 2020

Great description of Cell Model. Someone with basic electrical knowledge can easily learn the concepts.

by WCFeb 26, 2021

I thought that the professor put a lot of thought into this course. It is an excellent course. I am glad that I took it.

by TNOct 27, 2021

Interesting course for someone knowlegeable in battery chemistry but not the engineering part of batteries.

by JDSep 26, 2021

Highly recommend the instructor use LaTeX or a similar program to write out their equations to clarify them

View all reviews

About the Algorithms for Battery Management Systems Specialization

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What will I get if I subscribe to this Specialization?
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Equivalent Circuit Cell Model Simulation

About this Course

What you will learn