John Hopkins University - Battery State-of-Health (SOH) Estimation 

4.1.1: Welcome to the course!

4.1.2: What changes as a cell ages?

4.1.3: Negative-electrode aging processes at particle surface

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

4.1.5: Positive-electrode aging processes

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

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

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

Notes for lesson 4.1.1

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Notes for lesson 4.1.2

Notes for lesson 4.1.3

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Notes for lesson 4.1.6

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Notes for lesson 4.1.8

Practice quiz for lesson 4.1.2

Practice quiz for lesson 4.1.3

Practice quiz for lesson 4.1.4

Practice quiz for lesson 4.1.5

Practice quiz for lesson 4.1.6

Practice quiz for lesson 4.1.7

Quiz for week 1

Total-least-squares battery-cell capacity estimation

4.2.1: What?s wrong with using ordinary least squares to estimate total capacity?

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

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

4.2.4: Setting up weighted total-least-squares solution

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

4.2.6: Confidence intervals on least-squares solutions

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

Notes for lesson 4.2.1

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Notes for lesson 4.2.7

Practice quiz for lesson 4.2.1

Practice quiz for lesson 4.2.2

Practice quiz for lesson 4.2.3

Practice quiz for lesson 4.2.4

Practice quiz for lesson 4.2.5

Practice quiz for lesson 4.2.6

Quiz for week 2

Simplified total-least-squares battery-cell capacity estimates

4.3.1: Simplifying the total-least-squares solution for cases having proportional uncertainties

4.3.2: Making simplified solution computationally efficient

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

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

4.3.5: Finding solution to the AWTLS problem

4.3.6: Adding fading memory

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

Notes for lesson 4.3.1

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Practice quiz for lesson 4.3.1

Practice quiz for lesson 4.3.2

Practice quiz for lesson 4.3.3

Practice quiz for lesson 4.3.4

Practice quiz for lesson 4.3.5

Practice quiz for lesson 4.3.6

Quiz for week 3

How to write code for the different total-capacity estimators

4.4.1: Introducing Octave code to estimate cell total capacity

4.4.2: Demonstrating Octave code for HEV: Scenario 1

4.4.3: Demonstrating Octave code for HEV: Scenarios 2?3

4.4.4: Demonstrating Octave code for BEV: Scenario 1

4.4.5: Demonstrating Octave code for BEV: Scenarios 2?3

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

Notes for lesson 4.4.1

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Practice quiz for lesson 4.4.1

Practice quiz for lesson 4.4.2

Practice quiz for lesson 4.4.3

Practice quiz for lesson 4.4.4

Practice quiz for lesson 4.4.5

Quiz for week 4

A Kalman-filter approach to total capacity estimation

4.5.1: Deriving SPKF method for parameter estimation

4.5.2: Deriving EKF method for parameter estimation

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

4.5.5: Addressing issues of robustness and speed

4.5.6: Summary of "A Kalman-filter approach to total capacity estimation"; what next?

Notes for lesson 4.5.1

Notes for lesson 4.5.2

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Quiz for lesson 4.5.1

Quiz for lesson 4.5.2

Quiz for lessons 4.5.3 and 4.5.4

Quiz for lesson 4.5.5

Capstone project