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Battery Pack Balancing and Power Estimation

This course is part of Algorithms for Battery Management Systems.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Algorithms for Battery Management Systems Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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(98 ratings)

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Instructors:

English

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Battery Pack Balancing and Power Estimation

This course includes

22 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Design passive and active balancing circuits

  • Compute battery pack power limits

  • Implement balancing algorithms

  • Evaluate different balancing strategies

  • Develop power estimation methods

  • Optimize battery pack performance

Skills you'll gain

Battery Pack Design
Power Estimation
Cell Balancing
Circuit Design
Battery Management
Energy Systems
Power Electronics
System Modeling
Algorithm Implementation
Octave Programming

This course includes:

6.7 Hours PreRecorded video

1 quiz, 28 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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There are 6 modules in this course

This comprehensive course covers the design and implementation of battery pack balancing systems and power estimation algorithms. Students learn both passive and active balancing methods, component selection, and implementation using Octave/MATLAB. The curriculum includes power limit estimation using simplified and comprehensive cell models, with practical applications for electric vehicle systems. Future trends in battery management systems using physics-based models are also explored.

Passive balancing methods for battery packs

Module 1 · 3 Hours to complete

Active balancing methods for battery packs

Module 2 · 3 Hours to complete

How to find available battery power using a simplified cell model

Module 3 · 2 Hours to complete

How to find available battery power using a comprehensive cell model

Module 4 · 4 Hours to complete

Future Battery-Management-System Algorithms

Module 5 · 5 Hours to complete

Capstone project

Module 6 · 4 Hours to complete

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Algorithms for Battery Management Systems

Instructor

Gregory Plett
Gregory Plett

5 rating

22 Reviews

72,282 Students

9 Courses

Leading Expert in Battery Systems and Control Engineering

Gregory Plett serves as Professor of Electrical and Computer Engineering at the University of Colorado Colorado Springs, where he has established himself as a pioneering researcher in battery management systems since 1998. His academic credentials include a B.Eng. from Carleton University and M.S.E.E. and Ph.D. degrees from Stanford University. His research focuses on advanced control systems for high-capacity batteries used in hybrid and electric vehicles, encompassing physics-based modeling, system identification, and state estimation. He has authored three influential volumes on Battery Management Systems, covering battery modeling, equivalent-circuit methods, and physics-based methods. As Director of the UCCS High-Capacity Battery Research and Test Laboratory, he leads cutting-edge research in battery pack simulation and management systems. His teaching portfolio includes advanced courses in control systems, battery dynamics, and management algorithms. A senior member of IEEE and life member of the Electrochemical Society, his work has significantly influenced the field of electric vehicle battery technology. His research innovations include developing methods for state-of-charge estimation, degradation modeling, and fast-charging protocols for battery packs.

Battery Pack Balancing and Power Estimation

This course includes

22 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

Testimonials

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Frequently asked questions

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