Battery Pack Balancing and Power Estimation

  • 4.9
Approx. 23 hours to complete
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Course Summary

This course covers the basics of battery pack balancing and power estimation, including the different types of battery systems, battery management systems, and power estimation techniques.

Key Learning Points

  • Learn about different types of battery systems and their applications
  • Understand battery management systems and their role in balancing battery packs
  • Learn various power estimation techniques

Job Positions & Salaries of people who have taken this course might have

  • Battery Systems Engineer
    • USA: $96,000
    • India: ₹1,200,000
    • Spain: €46,000
  • Battery Management System Engineer
    • USA: $102,000
    • India: ₹1,400,000
    • Spain: €53,000
  • Power Electronics Engineer
    • USA: $96,000
    • India: ₹1,200,000
    • Spain: €46,000

Related Topics for further study


Learning Outcomes

  • Understand battery pack balancing and its importance
  • Learn about different types of battery management systems
  • Gain knowledge of various power estimation techniques

Prerequisites or good to have knowledge before taking this course

  • Basic knowledge of electrical engineering
  • Familiarity with battery systems

Course Difficulty Level

Intermediate

Course Format

  • Online
  • Self-paced

Similar Courses

  • Introduction to Battery Management Systems
  • Battery Storage Systems for Grid Applications

Related Education Paths


Related Books

Description

This course can also be taken for academic credit as ECEA 5734, part of CU Boulder’s Master of Science in Electrical Engineering degree.

Knowledge

  • H​ow to design balancers and power-limits estimators for lithium-ion battery packs

Outline

  • 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
  • How to use discussion forums
  • Earn a certificate
  • Are you interested in earning an MSEE degree?
  • 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

Summary of User Reviews

Battery Pack Balancing and Power Estimation is a highly rated course on Coursera that teaches students about the fundamentals of battery pack balancing and power estimation. Many users appreciated the practical approach of the course and found it to be very informative.

Pros from User Reviews

  • The course provides a lot of practical knowledge that can be applied in real-life scenarios.
  • The instructors are knowledgeable and engaging.
  • The course is well-structured and easy to follow.
  • The assignments and quizzes are challenging but rewarding.
  • The course covers a wide range of topics related to battery pack balancing and power estimation.

Cons from User Reviews

  • Some users found the course to be too technical and difficult to follow.
  • The course could benefit from more hands-on exercises or projects.
  • The course may not be suitable for beginners or those without a technical background.
  • The course could be more interactive and engaging.
  • Some users found the course to be too focused on theory and not enough on practical applications.

Keywords

English
Available now
Approx. 23 hours to complete
Gregory Plett
University of Colorado Boulder, University of Colorado System
Coursera

Instructor

Gregory Plett

  • 4.9 Raiting

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Battery Pack Balancing and Power Estimation

  • 4.9

This course can also be taken for academic credit as ECEA 5734, part of CU Boulder’s Master of Science in Electrical Engineering degree....

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