Master lithium-ion battery fundamentals and BMS design for modern energy applications.Introduction to battery-management systems
Master lithium-ion battery fundamentals and BMS design for modern energy applications.Introduction to 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.
4.8
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English
Tiếng Việt
What you'll learn
Understand lithium-ion cell operation and components
Master BMS sensing and control functions
Learn battery protection and safety systems
Analyze battery performance and diagnostics
Comprehend cell manufacturing and failure modes
Skills you'll gain
This course includes:
9.8 Hours PreRecorded video
34 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This comprehensive course provides a solid foundation in lithium-ion battery technology and battery management systems (BMS). Students learn about cell components, operation principles, and manufacturing processes of lithium-ion batteries. The curriculum covers essential BMS functions including voltage sensing, temperature control, current monitoring, and protection systems. Special emphasis is placed on understanding battery state-of-charge estimation, power management, and diagnostic capabilities.
Battery Boot Camp
Module 1 · 5 Hours to complete
How lithium-ion cells work
Module 2 · 5 Hours to complete
BMS sensing and high-voltage control
Module 3 · 6 Hours to complete
BMS design requirements 2-5
Module 4 · 5 Hours to complete
How are cells made? How can they fail?
Module 5 · 2 Hours to complete
Fee Structure
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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4.8 course rating
2,098 ratings
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