- Level Professional
- المدة 23 ساعات hours
- الطبع بواسطة University of Colorado Boulder
-
Offered by
عن
This course can also be taken for academic credit as ECEA 5733, part of CU Boulder’s Master of Science in Electrical Engineering degree. 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)الوحدات
4.1.1: Welcome to the course!
1
Discussions
- Introduce Yourself
1
Videos
- 4.1.1: Welcome to the course!
6
Readings
- Notes for lesson 4.1.1
- Frequently asked questions
- Course resources
- How to use discussion forums
- Earn a course certificate
- Are you interested in earning an MSEE degree?
4.1.2: What changes as a cell ages?
1
Assignment
- Practice quiz for lesson 4.1.2
1
Videos
- 4.1.2: What changes as a cell ages?
1
Readings
- Notes for lesson 4.1.2
4.1.3: Negative-electrode aging processes at particle surface
1
Assignment
- Practice quiz for lesson 4.1.3
1
Videos
- 4.1.3: Negative-electrode aging processes at particle surface
1
Readings
- Notes for lesson 4.1.3
4.1.4: Negative-electrode aging processes in bulk and composite electrode
1
Assignment
- Practice quiz for lesson 4.1.4
1
Videos
- 4.1.4: Negative-electrode aging processes in bulk and composite electrode
1
Readings
- Notes for lesson 4.1.4
4.1.5: Positive-electrode aging processes
1
Assignment
- Practice quiz for lesson 4.1.5
1
Videos
- 4.1.5: Positive-electrode aging processes
1
Readings
- Notes for lesson 4.1.5
4.1.6: Sensitivity of cell voltage to changes in equivalent series resistance (ESR)
1
Assignment
- Practice quiz for lesson 4.1.6
1
Labs
- Notebook to run before attempting practice quiz
1
Videos
- 4.1.6: Sensitivity of cell voltage to changes in equivalent series resistance (ESR)
1
Readings
- Notes for lesson 4.1.6
4.1.7: Sensitivity of cell voltage to changes in cell total capacity
1
Assignment
- Practice quiz for lesson 4.1.7
1
Videos
- 4.1.7: Sensitivity of cell voltage to changes in cell total capacity
1
Readings
- Notes for lesson 4.1.7
4.1.8: Summary of "How does lithium-ion cell health degrade?"; what next?
1
Assignment
- Quiz for week 1
1
Videos
- 4.1.8: Summary of "How does lithium-ion cell health degrade?"; what next?
1
Readings
- Notes for lesson 4.1.8
4.2.1: What’s wrong with using ordinary least squares to estimate total capacity?
1
Assignment
- Practice quiz for lesson 4.2.1
1
Videos
- 4.2.1: What’s wrong with using ordinary least squares to estimate total capacity?
1
Readings
- Notes for lesson 4.2.1
4.2.2: How to find the ordinary-least-squares solution as a benchmark
1
Assignment
- Practice quiz for lesson 4.2.2
1
Labs
- Notebook to run before attempting practice quiz
1
Videos
- 4.2.2: How to find the ordinary-least-squares solution as a benchmark
1
Readings
- Notes for lesson 4.2.2
4.2.3: Making the ordinary-least-squares solution computationally efficient
1
Assignment
- Practice quiz for lesson 4.2.3
1
Labs
- Notebook to run before attempting practice quiz
1
Videos
- 4.2.3: Making the ordinary-least-squares solution computationally efficient
1
Readings
- Notes for lesson 4.2.3
4.2.4: Setting up weighted total-least-squares solution
1
Assignment
- Practice quiz for lesson 4.2.4
1
Videos
- 4.2.4: Setting up weighted total-least-squares solution
1
Readings
- Notes for lesson 4.2.4
4.2.5: Finding the solution to a weighted total-least-squares problem
1
Assignment
- Practice quiz for lesson 4.2.5
1
Labs
- Notebook to run before attempting practice quiz
1
Videos
- 4.2.5: Finding the solution to a weighted total-least-squares problem
1
Readings
- Notes for lesson 4.2.5
4.2.6: Confidence intervals on least-squares solutions
1
Assignment
- Practice quiz for lesson 4.2.6
1
Labs
- Notebook to run before attempting practice quiz
1
Videos
- 4.2.6: Confidence intervals on least-squares solutions
1
Readings
- Notes for lesson 4.2.6
4.2.7: Summary of "Total-least-squares battery-cell capacity estimation"; what next?
1
Assignment
- Quiz for week 2
1
Videos
- 4.2.7: Summary of "Total-least-squares battery-cell capacity estimation"; what next?
1
Readings
- Notes for lesson 4.2.7
4.3.1: Simplifying the total-least-squares solution for cases having proportional uncertainties
1
Assignment
- Practice quiz for lesson 4.3.1
1
Labs
- Notebook to run before attempting practice quiz
1
Videos
- 4.3.1: Simplifying the total-least-squares solution for cases having proportional uncertainties
1
Readings
- Notes for lesson 4.3.1
4.3.2: Making simplified solution computationally efficient
1
Assignment
- Practice quiz for lesson 4.3.2
1
Labs
- Notebook to run before attempting practice quiz
1
Videos
- 4.3.2: Making simplified solution computationally efficient
1
Readings
- Notes for lesson 4.3.2
4.3.3: Defining geometry for approximate full solution to weighted total least squares
1
Assignment
- Practice quiz for lesson 4.3.3
1
Videos
- 4.3.3: Defining geometry for approximate full solution to weighted total least squares
1
Readings
- Notes for lesson 4.3.3
4.3.4: Finding appropriate cost function for approximate full solution to WTLS problem
1
Assignment
- Practice quiz for lesson 4.3.4
1
Videos
- 4.3.4: Finding appropriate cost function for approximate full solution to WTLS problem
1
Readings
- Notes for lesson 4.3.4
4.3.5: Finding solution to the AWTLS problem
1
Assignment
- Practice quiz for lesson 4.3.5
1
Labs
- Notebook to run before attempting practice quiz
1
Videos
- 4.3.5: Finding solution to the AWTLS problem
1
Readings
- Notes for lesson 4.3.5
4.3.6: Adding fading memory
1
Assignment
- Practice quiz for lesson 4.3.6
1
Labs
- Notebook to run before attempting practice quiz
1
Videos
- 4.3.6: Adding fading memory
1
Readings
- Notes for lesson 4.3.6
4.3.7: Summary of "Simplified total-least-squares battery-cell capacity estimates"; what next?
1
Assignment
- Quiz for week 3
1
Videos
- 4.3.7: Summary of "Simplified total-least-squares battery-cell capacity estimates"; what next?
1
Readings
- Notes for lesson 4.3.7
4.4.1: Introducing Octave code to estimate cell total capacity
1
Assignment
- Practice quiz for lesson 4.4.1
1
Labs
- Notebook to run before attempting practice quiz
1
Videos
- 4.4.1: Introducing Octave code to estimate cell total capacity
1
Readings
- Notes for lesson 4.4.1
4.4.2: Demonstrating Octave code for HEV: Scenario 1
1
Assignment
- Practice quiz for lesson 4.4.2
1
Labs
- Notebook to run before attempting practice quiz
1
Videos
- 4.4.2: Demonstrating Octave code for HEV: Scenario 1
1
Readings
- Notes for lesson 4.4.2
4.4.3: Demonstrating Octave code for HEV: Scenarios 2–3
1
Assignment
- Practice quiz for lesson 4.4.3
1
Labs
- Notebook to run before attempting practice quiz
1
Videos
- 4.4.3: Demonstrating Octave code for HEV: Scenarios 2–3
1
Readings
- Notes for lesson 4.4.3
4.4.4: Demonstrating Octave code for BEV: Scenario 1
1
Assignment
- Practice quiz for lesson 4.4.4
1
Labs
- Notebook to run before attempting practice quiz
1
Videos
- 4.4.4: Demonstrating Octave code for BEV: Scenario 1
1
Readings
- Notes for lesson 4.4.4
4.4.5: Demonstrating Octave code for BEV: Scenarios 2–3
1
Assignment
- Practice quiz for lesson 4.4.5
1
Labs
- Notebook to run before attempting practice quiz
1
Videos
- 4.4.5: Demonstrating Octave code for BEV: Scenarios 2–3
1
Readings
- Notes for lesson 4.4.5
4.4.6: Summary of "How to write code for the different total-capacity estimators"; what next?
1
Assignment
- Quiz for week 4
1
Videos
- 4.4.6: Summary of "How to write code for the different total-capacity estimators"; what next?
1
Readings
- Notes for lesson 4.4.6
4.5.1: Deriving SPKF method for parameter estimation
1
Assignment
- Quiz for lesson 4.5.1
1
Videos
- 4.5.1: Deriving SPKF method for parameter estimation
1
Readings
- Notes for lesson 4.5.1
4.5.2: Deriving EKF method for parameter estimation
1
Assignment
- Quiz for lesson 4.5.2
1
Videos
- 4.5.2: Deriving EKF method for parameter estimation
1
Readings
- Notes for lesson 4.5.2
4.5.3-4.5.4: How to estimate states and parameters at the same time; steps to do so
1
Assignment
- Quiz for lessons 4.5.3 and 4.5.4
2
Videos
- 4.5.3: How to estimate states and parameters at the same time
- 4.5.4: Defining the steps for EKF and SPFK joint and dual estimation
2
Readings
- Notes for lesson 4.5.3
- Notes for lesson 4.5.4
4.5.5-4.5.6: Addressing issues of robustness and speed; summary
1
Assignment
- Quiz for lesson 4.5.5
2
Labs
- Robustness and speed
- Notebook to run before attempting quiz
2
Videos
- 4.5.5: Addressing issues of robustness and speed
- 4.5.6: Summary of "A Kalman-filter approach to total capacity estimation"; what next?
2
Readings
- Notes for lesson 4.5.5
- Notes for lesson 4.5.6
4.6 Capstone project
- Tuning xLS algorithms for total-capacity estimation
1
Labs
- Jupyter notebook for capstone project
Auto Summary
Discover the intricacies of Battery State-of-Health (SOH) Estimation in this advanced course. Perfect for professionals in Science & Engineering, this Coursera offering is taught by experts and is part of CU Boulder’s Master of Science in Electrical Engineering degree. Learn to identify lithium-ion cell degradation mechanisms, execute MATLAB scripts for capacity estimation, compute confidence intervals, and evaluate resistance using lab data. The course spans 1380 minutes and is available through Starter and Professional subscriptions, ideal for those seeking to deepen their expertise in battery health assessment.

Gregory Plett