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 implement different state-of-health estimation methods and to evaluate their relative merits. By the end of the course, you will be able to:
- Identify the primary degradation mechanisms that occur in lithium-ion cells and understand how they work
- Execute provided Octave/MATLAB script to estimate total capacity using WLS, WTLS, and AWTLS methods and lab-test data, and to evaluate results
- Compute confidence intervals on total-capacity estimates
- Compute estimates of a cell’s equivalent-series resistance using lab-test data
- Specify the tradeoffs between joint and dual estimation of state and parameters, and steps that must be taken to ensure robust estimates (honors)

Start instantly and learn at your own schedule.

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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

1As 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....

8 videos (Total 89 min), 12 readings, 7 quizzes

4.1.2: What changes as a cell ages?16m

4.1.3: Negative-electrode aging processes at particle surface16m

4.1.4: Negative-electrode aging processes in bulk and composite electrode9m

4.1.5: Positive-electrode aging processes10m

4.1.6: Sensitivity of cell voltage to changes in equivalent series resistance (ESR)17m

4.1.7: Sensitivity of cell voltage to changes in cell total capacity9m

4.1.8: Summary of "How does lithium-ion cell health degrade?"; what next?2m

Notes for lesson 4.1.11m

Frequently Asked Questions5m

Course Resources5m

How to Use Discussion Forums5m

Earn a Course Certificate5m

Notes for lesson 4.1.21m

Notes for lesson 4.1.31m

Notes for lesson 4.1.41m

Notes for lesson 4.1.51m

Notes for lesson 4.1.61m

Notes for lesson 4.1.71m

Notes for lesson 4.1.81m

Practice quiz for lesson 4.1.29m

Practice quiz for lesson 4.1.39m

Practice quiz for lesson 4.1.49m

Practice quiz for lesson 4.1.59m

Practice quiz for lesson 4.1.615m

Practice quiz for lesson 4.1.79m

Quiz for week 145m

Week

2Total 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....

7 videos (Total 68 min), 7 readings, 7 quizzes

4.2.2: How to find the ordinary-least-squares solution as a benchmark9m

4.2.3: Making the ordinary-least-squares solution computationally efficient12m

4.2.4: Setting up weighted total-least-squares solution11m

4.2.5: Finding the solution to a weighted total-least-squares problem10m

4.2.6: Confidence intervals on least-squares solutions11m

4.2.7: Summary of "Total-least-squares battery-cell capacity estimation"; what next?2m

Notes for lesson 4.2.11m

Notes for lesson 4.2.21m

Notes for lesson 4.2.31m

Notes for lesson 4.2.41m

Notes for lesson 4.2.51m

Notes for lesson 4.2.61m

Notes for lesson 4.2.71m

Practice quiz for lesson 4.2.19m

Practice quiz for lesson 4.2.215m

Practice quiz for lesson 4.2.315m

Practice quiz for lesson 4.2.49m

Practice quiz for lesson 4.2.515m

Practice quiz for lesson 4.2.615m

Quiz for week 245m

Week

3Unfortunately, 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....

7 videos (Total 64 min), 7 readings, 7 quizzes

4.3.2: Making simplified solution computationally efficient6m

4.3.3: Defining geometry for approximate full solution to weighted total least squares12m

4.3.4: Finding appropriate cost function for approximate full solution to WTLS problem8m

4.3.5: Finding solution to the AWTLS problem10m

4.3.6: Adding fading memory8m

4.3.7: Summary of "Simplified total-least-squares battery-cell capacity estimates"; what next?4m

Notes for lesson 4.3.11m

Notes for lesson 4.3.21m

Notes for lesson 4.3.31m

Notes for lesson 4.3.41m

Notes for lesson 4.3.51m

Notes for lesson 4.3.61m

Notes for lesson 4.3.71m

Practice quiz for lesson 4.3.115m

Practice quiz for lesson 4.3.220m

Practice quiz for lesson 4.3.39m

Practice quiz for lesson 4.3.49m

Practice quiz for lesson 4.3.515m

Practice quiz for lesson 4.3.615m

Quiz for week 345m

Week

4So 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....

6 videos (Total 70 min), 6 readings, 6 quizzes

4.4.2: Demonstrating Octave code for HEV: Scenario 121m

4.4.3: Demonstrating Octave code for HEV: Scenarios 2–37m

4.4.4: Demonstrating Octave code for BEV: Scenario 16m

4.4.5: Demonstrating Octave code for BEV: Scenarios 2–310m

4.4.6: Summary of "How to write code for the different total-capacity estimators"; what next?9m

Notes for lesson 4.4.11m

Notes for lesson 4.4.21m

Notes for lesson 4.4.31m

Notes for lesson 4.4.41m

Notes for lesson 4.4.51m

Notes for lesson 4.4.61m

Practice quiz for lesson 4.4.115m

Practice quiz for lesson 4.4.215m

Practice quiz for lesson 4.4.315m

Practice quiz for lesson 4.4.415m

Practice quiz for lesson 4.4.515m

Quiz for week 445m

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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.

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