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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What you'll learn
Design equivalent-circuit models for lithium-ion cells
Compute model parameters from lab test data
Determine battery cell coulombic efficiency
Simulate electric vehicle performance and range
Analyze battery pack behavior with cell variation
Use Octave/MATLAB for battery simulation
Skills you'll gain
This course includes:
8.8 Hours PreRecorded video
1 quiz, 31 assignments
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FullTime access
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There are 6 modules in this course
This comprehensive course teaches the design and simulation of equivalent-circuit models for lithium-ion battery cells. Students learn to determine component parameters from lab data and simulate cell behavior under various load profiles. The curriculum covers model component purposes, parameter computation, coulombic efficiency calculation, and advanced simulation techniques for electric vehicle applications and battery pack behavior prediction. Practical implementation using Octave/MATLAB enables hands-on learning.
Defining an equivalent-circuit model of a Li-ion cell
Module 1 · 4 Hours to complete
Identifying parameters of static model
Module 2 · 4 Hours to complete
Identifying parameters of dynamic model
Module 3 · 6 Hours to complete
Simulating battery packs in different configurations
Module 4 · 5 Hours to complete
Co-simulating battery and electric-vehicle load
Module 5 · 3 Hours to complete
Capstone project
Module 6 · 2 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
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.
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