John Hopkins University - Battery Pack Balancing and Power Estimation
- Offered byCoursera
Battery Pack Balancing and Power Estimation at Coursera Overview
Duration | 23 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course |
Credential | Certificate |
Battery Pack Balancing and Power Estimation at Coursera Highlights
- This Course Plus the Full Specialization.
- Shareable Certificates.
- Graded Programming Assignments.
Battery Pack Balancing and Power Estimation at Coursera Course details
- This course can also be taken for academic credit as ECEA 5734, part of CU Boulder?s Master of Science in Electrical Engineering degree.
- In this course, you will learn how to design balancing systems and to compute remaining energy and available power for a battery pack. By the end of the course, you will be able to:
- - Evaluate different design choices for cell balancing and articulate their relative merits
- - Design component values for a simple passive balancing circut
- - Use provided Octave/MATLAB simulation tools to evaluate how quickly a battery pack must be balanced
- - Compute remaining energy and available power using a simple cell mode
- - Use provided Octave/MATLAB script to compute available power using a comprehensive equivalent-circuit cell model
Battery Pack Balancing and Power Estimation at Coursera Curriculum
Passive balancing methods for battery packs
5.1.1: Welcome to the course!
5.1.2: Introduction to battery-pack balancing
5.1.3: How do battery packs become imbalanced?
5.1.4: What are the criteria for specifying a balancing setpoint for a battery pack?
5.1.5: What are the criteria for specifying when to balance a battery pack?
5.1.6: What kinds of circuits can be used for passively balancing a battery pack?
5.1.7: Summary of "Passive balancing methods for battery packs"; what next?
Notes for lesson 5.1.1
Frequently asked questions
Course resources
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Notes for lesson 5.1.2
Notes for lesson 5.1.3
Notes for lesson 5.1.4
Notes for lesson 5.1.5
Notes for lesson 5.1.6
Notes for lesson 5.1.7
Practice quiz for lesson 5.1.2
Practice quiz for lesson 5.1.3
Practice quiz for lesson 5.1.4
Practice quiz for lesson 5.1.5
Practice quiz for lesson 5.1.6
Quiz for week 1
Active balancing methods for battery packs
5.2.1: How to balance actively using capacitor-based circuits
5.2.2: How to balance actively using transformer-based circuits
5.2.3: How to balance actively using a shared active bus
5.2.4: Using simulation to show how quickly we must balance a battery pack
5.2.5: Introducing Octave code to simulate balancing: The main program loop
5.2.6: Summary of "Active balancing methods for battery packs"; what next?
Notes for lesson 5.2.1
Notes for lesson 5.2.2
Notes for lesson 5.2.3
Notes for lesson 5.2.4
Notes for lesson 5.2.5
Notes for lesson 5.2.6
Practice quiz for lesson 5.2.1
Practice quiz for lesson 5.2.2
Practice quiz for lesson 5.2.3
Practice quiz for lesson 5.2.4
Practice quiz for lesson 5.2.5
Quiz for week 2
How to find available battery power using a simplified cell model
5.3.1: What factors must we consider when finding available battery power?
5.3.2: How to compute available battery power based on cell terminal voltage
5.3.3: How to consider other performance limits when computing available battery power
5.3.4: Introducing Octave code to compute power limits using simplified cell model
5.3.5: Summary of "How to find available battery power using a simplified cell model"; what next?
Notes for lesson 5.3.1
Notes for lesson 5.3.2
Notes for lesson 5.3.3
Notes for lesson 5.3.4
Notes for lesson 5.3.5
Practice quiz for lesson 5.3.1
Practice quiz for lesson 5.3.2
Practice quiz for lesson 5.3.3
Practice quiz for lesson 5.3.4
Quiz for week 3
How to find available battery power using a comprehensive cell model
5.4.1: What factors must we consider when finding available battery power?
5.4.2: How to solve for a future battery condition using the bisection algorithm
5.4.3: How to use bisection to estimate available power using comprehensive cell model
5.4.4: Introducing Octave code to compute power limits using comprehensive cell model
5.4.5: Using simulation to compare and contrast different power-estimation methods
5.4.6: Concluding remarks for the specialization
Notes for lesson 5.4.1
Notes for lesson 5.4.2
Notes for lesson 5.4.3
Notes for lesson 5.4.4
Notes for lesson 5.4.5
Notes for lesson 5.4.6
Practice quiz for lesson 5.4.1
Practice quiz for lesson 5.4.2
Practice quiz for lesson 5.4.3
Practice quiz for lesson 5.4.4
Practice quiz for lesson 5.4.5
Quiz for week 4
Future Battery-Management-System Algorithms
5.5.1: What BMS algorithm needs remain?
5.5.2: Physics-based ideal-cell models
5.5.3: Single-particle reduced-order models
5.5.4: 1-d physics-based reduced-order models
5.5.5: Models of degradation mechanisms
5.5.6: Optimized controls using physics-based models
Notes for lesson 5.5.1
Notes for lesson 5.5.2
Notes for lesson 5.5.3
Notes for lesson 5.5.4
Notes for lesson 5.5.5
Notes for lesson 5.5.6
Quiz for lesson 5.5.1
Quiz for lesson 5.5.2
Quiz for lesson 5.5.3
Quiz for lesson 5.5.4
Quiz for lesson 5.5.5
Quiz for lesson 5.5.6
Capstone project
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