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英語

字幕:英語

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

中級レベル

約16時間で修了

推奨:13 hours/week...

英語

字幕:英語

シラバス - 本コースの学習内容

1
4時間で修了

How does lithium-ion cell health degrade?

As 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件のビデオ (合計89分), 12 readings, 7 quizzes
8件のビデオ
4.1.2: What changes as a cell ages?16 分
4.1.3: Negative-electrode aging processes at particle surface16 分
4.1.4: Negative-electrode aging processes in bulk and composite electrode9 分
4.1.5: Positive-electrode aging processes10 分
4.1.6: Sensitivity of cell voltage to changes in equivalent series resistance (ESR)17 分
4.1.7: Sensitivity of cell voltage to changes in cell total capacity9 分
4.1.8: Summary of "How does lithium-ion cell health degrade?"; what next?2 分
12件の学習用教材
Notes for lesson 4.1.11 分
Frequently Asked Questions5 分
Course Resources5 分
How to Use Discussion Forums5 分
Earn a Course Certificate5 分
Notes for lesson 4.1.21 分
Notes for lesson 4.1.31 分
Notes for lesson 4.1.41 分
Notes for lesson 4.1.51 分
Notes for lesson 4.1.61 分
Notes for lesson 4.1.71 分
Notes for lesson 4.1.81 分
7の練習問題
Practice quiz for lesson 4.1.29 分
Practice quiz for lesson 4.1.39 分
Practice quiz for lesson 4.1.49 分
Practice quiz for lesson 4.1.59 分
Practice quiz for lesson 4.1.615 分
Practice quiz for lesson 4.1.79 分
Quiz for week 145 分
2
4時間で修了

Total-least-squares battery-cell capacity estimation

Total 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件のビデオ (合計68分), 7 readings, 7 quizzes
7件のビデオ
4.2.2: How to find the ordinary-least-squares solution as a benchmark9 分
4.2.3: Making the ordinary-least-squares solution computationally efficient12 分
4.2.4: Setting up weighted total-least-squares solution11 分
4.2.5: Finding the solution to a weighted total-least-squares problem10 分
4.2.6: Confidence intervals on least-squares solutions11 分
4.2.7: Summary of "Total-least-squares battery-cell capacity estimation"; what next?2 分
7件の学習用教材
Notes for lesson 4.2.11 分
Notes for lesson 4.2.21 分
Notes for lesson 4.2.31 分
Notes for lesson 4.2.41 分
Notes for lesson 4.2.51 分
Notes for lesson 4.2.61 分
Notes for lesson 4.2.71 分
7の練習問題
Practice quiz for lesson 4.2.19 分
Practice quiz for lesson 4.2.215 分
Practice quiz for lesson 4.2.315 分
Practice quiz for lesson 4.2.49 分
Practice quiz for lesson 4.2.515 分
Practice quiz for lesson 4.2.615 分
Quiz for week 245 分
3
4時間で修了

Simplified total-least-squares battery-cell capacity estimates

Unfortunately, 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件のビデオ (合計64分), 7 readings, 7 quizzes
7件のビデオ
4.3.2: Making simplified solution computationally efficient6 分
4.3.3: Defining geometry for approximate full solution to weighted total least squares12 分
4.3.4: Finding appropriate cost function for approximate full solution to WTLS problem8 分
4.3.5: Finding solution to the AWTLS problem10 分
4.3.6: Adding fading memory8 分
4.3.7: Summary of "Simplified total-least-squares battery-cell capacity estimates"; what next?4 分
7件の学習用教材
Notes for lesson 4.3.11 分
Notes for lesson 4.3.21 分
Notes for lesson 4.3.31 分
Notes for lesson 4.3.41 分
Notes for lesson 4.3.51 分
Notes for lesson 4.3.61 分
Notes for lesson 4.3.71 分
7の練習問題
Practice quiz for lesson 4.3.115 分
Practice quiz for lesson 4.3.220 分
Practice quiz for lesson 4.3.39 分
Practice quiz for lesson 4.3.49 分
Practice quiz for lesson 4.3.515 分
Practice quiz for lesson 4.3.615 分
Quiz for week 345 分
4
4時間で修了

How to write code for the different total-capacity estimators

So 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件のビデオ (合計70分), 6 readings, 6 quizzes
6件のビデオ
4.4.2: Demonstrating Octave code for HEV: Scenario 121 分
4.4.3: Demonstrating Octave code for HEV: Scenarios 2–37 分
4.4.4: Demonstrating Octave code for BEV: Scenario 16 分
4.4.5: Demonstrating Octave code for BEV: Scenarios 2–310 分
4.4.6: Summary of "How to write code for the different total-capacity estimators"; what next?9 分
6件の学習用教材
Notes for lesson 4.4.11 分
Notes for lesson 4.4.21 分
Notes for lesson 4.4.31 分
Notes for lesson 4.4.41 分
Notes for lesson 4.4.51 分
Notes for lesson 4.4.61 分
6の練習問題
Practice quiz for lesson 4.4.115 分
Practice quiz for lesson 4.4.215 分
Practice quiz for lesson 4.4.315 分
Practice quiz for lesson 4.4.415 分
Practice quiz for lesson 4.4.515 分
Quiz for week 445 分
5
3時間で修了

A Kalman-filter approach to total capacity estimation

In the third course of the specialization, you learned how to use extended Kalman filters (EKFs) and sigma-point Kalman filters (SPKFs) to estimate the state of a battery cell. In this honors week, you will learn how to extend those concepts to apply EKF and SPKF to estimating the parameters of a battery-cell model if the state is known, and also how to simultaneously estimate both the state and parameters of a cell model....
6件のビデオ (合計54分), 6 readings, 4 quizzes
6件のビデオ
4.5.2: Deriving EKF method for parameter estimation8 分
4.5.3: How to estimate states and parameters at the same time9 分
4.5.4: Defining the steps for EKF and SPFK joint and dual estimation4 分
4.5.5: Addressing issues of robustness and speed12 分
4.5.6: Summary of "A Kalman-filter approach to total capacity estimation"; what next?2 分
6件の学習用教材
Notes for lesson 4.5.11 分
Notes for lesson 4.5.21 分
Notes for lesson 4.5.31 分
Notes for lesson 4.5.41 分
Notes for lesson 4.5.51 分
Notes for lesson 4.5.61 分
4の練習問題
Quiz for lesson 4.5.115 分
Quiz for lesson 4.5.215 分
Quiz for lessons 4.5.3 and 4.5.412 分
Quiz for lesson 4.5.525 分
6
4時間で修了

Capstone project

You have learned several different total-capacity estimation methods. Some of these methods work better than others in general, but any method is only as good as the data you give it. In this project, you will explore a different way to determine the "x" and "y" data you use as input to the total-capacity estimation methods....
1 quiz

講師

Gregory Plett

Professor
Electrical and Computer Engineering

University of Colorado Systemについて

The University of Colorado is a recognized leader in higher education on the national and global stage. We collaborate to meet the diverse needs of our students and communities. We promote innovation, encourage discovery and support the extension of knowledge in ways unique to the state of Colorado and beyond....

Algorithms for Battery Management Systemsの専門講座について

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....
Algorithms for Battery Management Systems

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