课程信息
专项课程

第 4 门课程(共 5 门),位于

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中级

中级

完成时间(小时)

完成时间大约为19 小时

建议:5 hours/week...
可选语言

英语(English)

字幕:英语(English)...
专项课程

第 4 门课程(共 5 门),位于

100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
中级

中级

完成时间(小时)

完成时间大约为19 小时

建议:5 hours/week...
可选语言

英语(English)

字幕:英语(English)...

教学大纲 - 您将从这门课程中学到什么

1
完成时间(小时)
完成时间为 4 小时

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....
Reading
8 个视频(共 89 分钟), 12 个阅读材料, 7 个测验
Video8 个视频
4.1.2: What changes as a cell ages?16分钟
4.1.3: Negative-electrode aging processes at particle surface16分钟
4.1.4: Negative-electrode aging processes in bulk and composite electrode9分钟
4.1.5: Positive-electrode aging processes10分钟
4.1.6: Sensitivity of cell voltage to changes in equivalent series resistance (ESR)17分钟
4.1.7: Sensitivity of cell voltage to changes in cell total capacity9分钟
4.1.8: Summary of "How does lithium-ion cell health degrade?"; what next?2分钟
Reading12 个阅读材料
Notes for lesson 4.1.11分钟
Frequently Asked Questions5分钟
Course Resources5分钟
How to Use Discussion Forums5分钟
Earn a Course Certificate5分钟
Notes for lesson 4.1.21分钟
Notes for lesson 4.1.31分钟
Notes for lesson 4.1.41分钟
Notes for lesson 4.1.51分钟
Notes for lesson 4.1.61分钟
Notes for lesson 4.1.71分钟
Notes for lesson 4.1.81分钟
Quiz7 个练习
Practice quiz for lesson 4.1.29分钟
Practice quiz for lesson 4.1.39分钟
Practice quiz for lesson 4.1.49分钟
Practice quiz for lesson 4.1.59分钟
Practice quiz for lesson 4.1.615分钟
Practice quiz for lesson 4.1.79分钟
Quiz for week 145分钟
2
完成时间(小时)
完成时间为 4 小时

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....
Reading
7 个视频(共 68 分钟), 7 个阅读材料, 7 个测验
Video7 个视频
4.2.2: How to find the ordinary-least-squares solution as a benchmark9分钟
4.2.3: Making the ordinary-least-squares solution computationally efficient12分钟
4.2.4: Setting up weighted total-least-squares solution11分钟
4.2.5: Finding the solution to a weighted total-least-squares problem10分钟
4.2.6: Confidence intervals on least-squares solutions11分钟
4.2.7: Summary of "Total-least-squares battery-cell capacity estimation"; what next?2分钟
Reading7 个阅读材料
Notes for lesson 4.2.11分钟
Notes for lesson 4.2.21分钟
Notes for lesson 4.2.31分钟
Notes for lesson 4.2.41分钟
Notes for lesson 4.2.51分钟
Notes for lesson 4.2.61分钟
Notes for lesson 4.2.71分钟
Quiz7 个练习
Practice quiz for lesson 4.2.19分钟
Practice quiz for lesson 4.2.215分钟
Practice quiz for lesson 4.2.315分钟
Practice quiz for lesson 4.2.49分钟
Practice quiz for lesson 4.2.515分钟
Practice quiz for lesson 4.2.615分钟
Quiz for week 245分钟
3
完成时间(小时)
完成时间为 4 小时

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....
Reading
7 个视频(共 64 分钟), 7 个阅读材料, 7 个测验
Video7 个视频
4.3.2: Making simplified solution computationally efficient6分钟
4.3.3: Defining geometry for approximate full solution to weighted total least squares12分钟
4.3.4: Finding appropriate cost function for approximate full solution to WTLS problem8分钟
4.3.5: Finding solution to the AWTLS problem10分钟
4.3.6: Adding fading memory8分钟
4.3.7: Summary of "Simplified total-least-squares battery-cell capacity estimates"; what next?4分钟
Reading7 个阅读材料
Notes for lesson 4.3.11分钟
Notes for lesson 4.3.21分钟
Notes for lesson 4.3.31分钟
Notes for lesson 4.3.41分钟
Notes for lesson 4.3.51分钟
Notes for lesson 4.3.61分钟
Notes for lesson 4.3.71分钟
Quiz7 个练习
Practice quiz for lesson 4.3.115分钟
Practice quiz for lesson 4.3.220分钟
Practice quiz for lesson 4.3.39分钟
Practice quiz for lesson 4.3.49分钟
Practice quiz for lesson 4.3.515分钟
Practice quiz for lesson 4.3.615分钟
Quiz for week 345分钟
4
完成时间(小时)
完成时间为 4 小时

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....
Reading
6 个视频(共 70 分钟), 6 个阅读材料, 6 个测验
Video6 个视频
4.4.2: Demonstrating Octave code for HEV: Scenario 121分钟
4.4.3: Demonstrating Octave code for HEV: Scenarios 2–37分钟
4.4.4: Demonstrating Octave code for BEV: Scenario 16分钟
4.4.5: Demonstrating Octave code for BEV: Scenarios 2–310分钟
4.4.6: Summary of "How to write code for the different total-capacity estimators"; what next?9分钟
Reading6 个阅读材料
Notes for lesson 4.4.11分钟
Notes for lesson 4.4.21分钟
Notes for lesson 4.4.31分钟
Notes for lesson 4.4.41分钟
Notes for lesson 4.4.51分钟
Notes for lesson 4.4.61分钟
Quiz6 个练习
Practice quiz for lesson 4.4.115分钟
Practice quiz for lesson 4.4.215分钟
Practice quiz for lesson 4.4.315分钟
Practice quiz for lesson 4.4.415分钟
Practice quiz for lesson 4.4.515分钟
Quiz for week 445分钟

讲师

Gregory Plett

Professor
Electrical and Computer Engineering

关于 University of Colorado System

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....

关于 Algorithms for Battery Management Systems 专项课程

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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