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• How to implement state-of-charge (SOC) estimators for lithium-ion battery cells

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1

## The importance of a good SOC estimator

8 個視頻 （總計 120 分鐘）, 14 個閱讀材料, 7 個測驗
8 個視頻
3.1.2: What is the importance of a good SOC estimator?8分鐘
3.1.3: How do we define SOC carefully?16分鐘
3.1.4: What are some approaches to estimating battery cell SOC?26分鐘
3.1.5: Understanding uncertainty via mean and covariance17分鐘
3.1.6: Understanding joint uncertainty of two unknown quantities15分鐘
3.1.7: Understanding time-varying uncertain quantities22分鐘
3.1.8: Summary of "The importance of a good SOC estimator" and next steps3分鐘
14 個閱讀材料
Notes for lesson 3.1.11分鐘
Course resources5分鐘
How to use discussion forums5分鐘
Earn a course certificate5分鐘
Are you interested in earning an MSEE degree?5分鐘
Notes for lesson 3.1.21分鐘
Notes for lesson 3.1.31分鐘
Notes for lesson 3.1.41分鐘
Introducing a new element to the course!10分鐘
Notes for lesson 3.1.51分鐘
Notes for lesson 3.1.61分鐘
Notes for lesson 3.1.71分鐘
Notes for lesson 3.1.81分鐘
7 個練習
Practice quiz for lesson 3.1.210分鐘
Practice quiz for lesson 3.1.310分鐘
Practice quiz for lesson 3.1.410分鐘
Practice quiz for lesson 3.1.515分鐘
Practice quiz for lesson 3.1.610分鐘
Practice quiz for lesson 3.1.730分鐘
Quiz for week 140分鐘
2

## Introducing the linear Kalman filter as a state estimator

6 個視頻 （總計 97 分鐘）, 6 個閱讀材料, 6 個測驗
6 個視頻
3.2.2: The Kalman-filter gain factor23分鐘
3.2.3: Summarizing the six steps of generic probabilistic inference9分鐘
3.2.4: Deriving the three Kalman-filter prediction steps21分鐘
3.2.5: Deriving the three Kalman-filter correction steps16分鐘
3.2.6: Summary of "Introducing the linear KF as a state estimator" and next steps2分鐘
6 個閱讀材料
Notes for lesson 3.2.11分鐘
Notes for lesson 3.2.21分鐘
Notes for lesson 3.2.31分鐘
Notes for lesson 3.2.41分鐘
Notes for lesson 3.2.51分鐘
Notes for lesson 3.2.61分鐘
6 個練習
Practice quiz for lesson 3.2.112分鐘
Practice quiz for lesson 3.2.210分鐘
Practice quiz for lesson 3.2.310分鐘
Practice quiz for lesson 3.2.410分鐘
Practice quiz for lesson 3.2.510分鐘
Quiz for week 230分鐘
3

## Coming to understand the linear Kalman filter

7 個視頻 （總計 86 分鐘）, 7 個閱讀材料, 7 個測驗
7 個視頻
3.3.2: Introducing Octave code to generate correlated random numbers15分鐘
3.3.3: Introducing Octave code to implement KF for linearized cell model10分鐘
3.3.4: How do we improve numeric robustness of Kalman filter?10分鐘
3.3.5: Can we automatically detect bad measurements with a Kalman filter?14分鐘
3.3.6: How do I initialize and tune a Kalman filter?12分鐘
3.3.7: Summary of "Coming to understand the linear KF" and next steps2分鐘
7 個閱讀材料
Notes for lesson 3.3.11分鐘
Notes for lesson 3.3.21分鐘
Notes for lesson 3.3.31分鐘
Notes for lesson 3.3.41分鐘
Notes for lesson 3.3.51分鐘
Notes for lesson 3.3.61分鐘
Notes for lesson 3.3.71分鐘
7 個練習
Practice quiz for lesson 3.3.110分鐘
Practice quiz for lesson 3.3.210分鐘
Practice quiz for lesson 3.3.310分鐘
Practice quiz for lesson 3.3.410分鐘
Practice quiz for lesson 3.3.510分鐘
Practice quiz for lesson 3.3.610分鐘
Quiz for week 330分鐘
4

## Cell SOC estimation using an extended Kalman filter

8 個視頻 （總計 101 分鐘）, 8 個閱讀材料, 7 個測驗
8 個視頻
3.4.2: Deriving the three extended-Kalman-filter prediction steps15分鐘
3.4.3: Deriving the three extended-Kalman-filter correction steps6分鐘
3.4.4: Introducing a simple EKF example, with Octave code15分鐘
3.4.5: Preparing to implement EKF on an ECM20分鐘
3.4.6: Introducing Octave code to initialize and control EKF for SOC estimation13分鐘
3.4.7: Introducing Octave code to update EKF for SOC estimation16分鐘
3.4.8: Summary of "Cell SOC estimation using an EKF" and next steps2分鐘
8 個閱讀材料
Notes for lesson 3.4.11分鐘
Notes for lesson 3.4.21分鐘
Notes for lesson 3.4.31分鐘
Notes for lesson 3.4.41分鐘
Notes for lesson 3.4.51分鐘
Notes for lesson 3.4.61分鐘
Notes for lesson 3.4.71分鐘
Notes for lesson 3.4.81分鐘
7 個練習
Practice quiz for lesson 3.4.110分鐘
Practice quiz for lesson 3.4.210分鐘
Practice quiz for lesson 3.4.310分鐘
Practice quiz for lesson 3.4.410分鐘
Practice quiz for lesson 3.4.510分鐘
Practice quiz for lesson 3.4.710分鐘
Quiz for week 430分鐘