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1

## The importance of a good SOC estimator

8 个视频 （总计 120 分钟）, 13 个阅读材料, 7 个测验
8 个视频
3.1.2: What is the importance of a good SOC estimator?8分钟
3.1.3: How do we define SOC carefully?16分钟
3.1.4: What are some approaches to estimating battery cell SOC?26分钟
3.1.5: Understanding uncertainty via mean and covariance17分钟
3.1.6: Understanding joint uncertainty of two unknown quantities15分钟
3.1.7: Understanding time-varying uncertain quantities22分钟
3.1.8: Summary of "The importance of a good SOC estimator" and next steps3分钟
13 个阅读材料
Notes for lesson 3.1.11分钟
Course resources5分钟
How to use discussion forums5分钟
Earn a course certificate5分钟
Notes for lesson 3.1.21分钟
Notes for lesson 3.1.31分钟
Notes for lesson 3.1.41分钟
Introducing a new element to the course!10分钟
Notes for lesson 3.1.51分钟
Notes for lesson 3.1.61分钟
Notes for lesson 3.1.71分钟
Notes for lesson 3.1.81分钟
7 个练习
Practice quiz for lesson 3.1.210分钟
Practice quiz for lesson 3.1.310分钟
Practice quiz for lesson 3.1.410分钟
Practice quiz for lesson 3.1.515分钟
Practice quiz for lesson 3.1.610分钟
Practice quiz for lesson 3.1.730分钟
Quiz for week 140分钟
2

## Introducing the linear Kalman filter as a state estimator

6 个视频 （总计 97 分钟）, 6 个阅读材料, 6 个测验
6 个视频
3.2.2: The Kalman-filter gain factor23分钟
3.2.3: Summarizing the six steps of generic probabilistic inference9分钟
3.2.4: Deriving the three Kalman-filter prediction steps21分钟
3.2.5: Deriving the three Kalman-filter correction steps16分钟
3.2.6: Summary of "Introducing the linear KF as a state estimator" and next steps2分钟
6 个阅读材料
Notes for lesson 3.2.11分钟
Notes for lesson 3.2.21分钟
Notes for lesson 3.2.31分钟
Notes for lesson 3.2.41分钟
Notes for lesson 3.2.51分钟
Notes for lesson 3.2.61分钟
6 个练习
Practice quiz for lesson 3.2.112分钟
Practice quiz for lesson 3.2.210分钟
Practice quiz for lesson 3.2.310分钟
Practice quiz for lesson 3.2.410分钟
Practice quiz for lesson 3.2.510分钟
Quiz for week 230分钟
3

## Coming to understand the linear Kalman filter

7 个视频 （总计 86 分钟）, 7 个阅读材料, 7 个测验
7 个视频
3.3.2: Introducing Octave code to generate correlated random numbers15分钟
3.3.3: Introducing Octave code to implement KF for linearized cell model10分钟
3.3.4: How do we improve numeric robustness of Kalman filter?10分钟
3.3.5: Can we automatically detect bad measurements with a Kalman filter?14分钟
3.3.6: How do I initialize and tune a Kalman filter?12分钟
3.3.7: Summary of "Coming to understand the linear KF" and next steps2分钟
7 个阅读材料
Notes for lesson 3.3.11分钟
Notes for lesson 3.3.21分钟
Notes for lesson 3.3.31分钟
Notes for lesson 3.3.41分钟
Notes for lesson 3.3.51分钟
Notes for lesson 3.3.61分钟
Notes for lesson 3.3.71分钟
7 个练习
Practice quiz for lesson 3.3.110分钟
Practice quiz for lesson 3.3.210分钟
Practice quiz for lesson 3.3.310分钟
Practice quiz for lesson 3.3.410分钟
Practice quiz for lesson 3.3.510分钟
Practice quiz for lesson 3.3.610分钟
Quiz for week 330分钟
4

## Cell SOC estimation using an extended Kalman filter

8 个视频 （总计 101 分钟）, 8 个阅读材料, 7 个测验
8 个视频
3.4.2: Deriving the three extended-Kalman-filter prediction steps15分钟
3.4.3: Deriving the three extended-Kalman-filter correction steps6分钟
3.4.4: Introducing a simple EKF example, with Octave code15分钟
3.4.5: Preparing to implement EKF on an ECM20分钟
3.4.6: Introducing Octave code to initialize and control EKF for SOC estimation13分钟
3.4.7: Introducing Octave code to update EKF for SOC estimation16分钟
3.4.8: Summary of "Cell SOC estimation using an EKF" and next steps2分钟
8 个阅读材料
Notes for lesson 3.4.11分钟
Notes for lesson 3.4.21分钟
Notes for lesson 3.4.31分钟
Notes for lesson 3.4.41分钟
Notes for lesson 3.4.51分钟
Notes for lesson 3.4.61分钟
Notes for lesson 3.4.71分钟
Notes for lesson 3.4.81分钟
7 个练习
Practice quiz for lesson 3.4.110分钟
Practice quiz for lesson 3.4.210分钟
Practice quiz for lesson 3.4.310分钟
Practice quiz for lesson 3.4.410分钟
Practice quiz for lesson 3.4.510分钟
Practice quiz for lesson 3.4.710分钟
Quiz for week 430分钟