Informações sobre o curso
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Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível intermediário

Aprox. 16 horas para completar

Sugerido: 13 hours/week...

Inglês

Legendas: Inglês

100% online

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível intermediário

Aprox. 16 horas para completar

Sugerido: 13 hours/week...

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
4 horas para concluir

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 vídeos (total de (Total 89 mín.) min), 12 leituras, 7 testes
8 videos
4.1.2: What changes as a cell ages?16min
4.1.3: Negative-electrode aging processes at particle surface16min
4.1.4: Negative-electrode aging processes in bulk and composite electrode9min
4.1.5: Positive-electrode aging processes10min
4.1.6: Sensitivity of cell voltage to changes in equivalent series resistance (ESR)17min
4.1.7: Sensitivity of cell voltage to changes in cell total capacity9min
4.1.8: Summary of "How does lithium-ion cell health degrade?"; what next?2min
12 leituras
Notes for lesson 4.1.11min
Frequently Asked Questions5min
Course Resources5min
How to Use Discussion Forums5min
Earn a Course Certificate5min
Notes for lesson 4.1.21min
Notes for lesson 4.1.31min
Notes for lesson 4.1.41min
Notes for lesson 4.1.51min
Notes for lesson 4.1.61min
Notes for lesson 4.1.71min
Notes for lesson 4.1.81min
7 exercícios práticos
Practice quiz for lesson 4.1.29min
Practice quiz for lesson 4.1.39min
Practice quiz for lesson 4.1.49min
Practice quiz for lesson 4.1.59min
Practice quiz for lesson 4.1.615min
Practice quiz for lesson 4.1.79min
Quiz for week 145min
Semana
2
4 horas para concluir

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 vídeos (total de (Total 68 mín.) min), 7 leituras, 7 testes
7 videos
4.2.2: How to find the ordinary-least-squares solution as a benchmark9min
4.2.3: Making the ordinary-least-squares solution computationally efficient12min
4.2.4: Setting up weighted total-least-squares solution11min
4.2.5: Finding the solution to a weighted total-least-squares problem10min
4.2.6: Confidence intervals on least-squares solutions11min
4.2.7: Summary of "Total-least-squares battery-cell capacity estimation"; what next?2min
7 leituras
Notes for lesson 4.2.11min
Notes for lesson 4.2.21min
Notes for lesson 4.2.31min
Notes for lesson 4.2.41min
Notes for lesson 4.2.51min
Notes for lesson 4.2.61min
Notes for lesson 4.2.71min
7 exercícios práticos
Practice quiz for lesson 4.2.19min
Practice quiz for lesson 4.2.215min
Practice quiz for lesson 4.2.315min
Practice quiz for lesson 4.2.49min
Practice quiz for lesson 4.2.515min
Practice quiz for lesson 4.2.615min
Quiz for week 245min
Semana
3
4 horas para concluir

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 vídeos (total de (Total 64 mín.) min), 7 leituras, 7 testes
7 videos
4.3.2: Making simplified solution computationally efficient6min
4.3.3: Defining geometry for approximate full solution to weighted total least squares12min
4.3.4: Finding appropriate cost function for approximate full solution to WTLS problem8min
4.3.5: Finding solution to the AWTLS problem10min
4.3.6: Adding fading memory8min
4.3.7: Summary of "Simplified total-least-squares battery-cell capacity estimates"; what next?4min
7 leituras
Notes for lesson 4.3.11min
Notes for lesson 4.3.21min
Notes for lesson 4.3.31min
Notes for lesson 4.3.41min
Notes for lesson 4.3.51min
Notes for lesson 4.3.61min
Notes for lesson 4.3.71min
7 exercícios práticos
Practice quiz for lesson 4.3.115min
Practice quiz for lesson 4.3.220min
Practice quiz for lesson 4.3.39min
Practice quiz for lesson 4.3.49min
Practice quiz for lesson 4.3.515min
Practice quiz for lesson 4.3.615min
Quiz for week 345min
Semana
4
4 horas para concluir

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 vídeos (total de (Total 70 mín.) min), 6 leituras, 6 testes
6 videos
4.4.2: Demonstrating Octave code for HEV: Scenario 121min
4.4.3: Demonstrating Octave code for HEV: Scenarios 2–37min
4.4.4: Demonstrating Octave code for BEV: Scenario 16min
4.4.5: Demonstrating Octave code for BEV: Scenarios 2–310min
4.4.6: Summary of "How to write code for the different total-capacity estimators"; what next?9min
6 leituras
Notes for lesson 4.4.11min
Notes for lesson 4.4.21min
Notes for lesson 4.4.31min
Notes for lesson 4.4.41min
Notes for lesson 4.4.51min
Notes for lesson 4.4.61min
6 exercícios práticos
Practice quiz for lesson 4.4.115min
Practice quiz for lesson 4.4.215min
Practice quiz for lesson 4.4.315min
Practice quiz for lesson 4.4.415min
Practice quiz for lesson 4.4.515min
Quiz for week 445min
Semana
5
3 horas para concluir

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 vídeos (total de (Total 54 mín.) min), 6 leituras, 4 testes
6 videos
4.5.2: Deriving EKF method for parameter estimation8min
4.5.3: How to estimate states and parameters at the same time9min
4.5.4: Defining the steps for EKF and SPFK joint and dual estimation4min
4.5.5: Addressing issues of robustness and speed12min
4.5.6: Summary of "A Kalman-filter approach to total capacity estimation"; what next?2min
6 leituras
Notes for lesson 4.5.11min
Notes for lesson 4.5.21min
Notes for lesson 4.5.31min
Notes for lesson 4.5.41min
Notes for lesson 4.5.51min
Notes for lesson 4.5.61min
4 exercícios práticos
Quiz for lesson 4.5.115min
Quiz for lesson 4.5.215min
Quiz for lessons 4.5.3 and 4.5.412min
Quiz for lesson 4.5.525min
Semana
6
4 horas para concluir

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 teste

Instrutores

Gregory Plett

Professor
Electrical and Computer Engineering

Sobre Sistema de Universidades do ColoradoUniversidade do Colorado

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....

Sobre o Programa de cursos integrados Algorithms for Battery Management Systems

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

Perguntas Frequentes – FAQ

  • Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.

  • Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.

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