Algorithms for Battery Management Systems
Master lithium-ion battery management systems through hands-on learning. Design models, implement estimators, and optimize battery pack performance.
Master lithium-ion battery management systems through hands-on learning. Design models, implement estimators, and optimize battery pack performance.
This comprehensive specialization teaches the core functions of battery management systems for lithium-ion batteries. Students learn mathematical modeling of battery cell behavior, implementing algorithms for state estimation, and managing battery packs. Through hands-on projects using Octave/MATLAB, learners develop practical skills in simulating battery systems and estimating crucial parameters like state-of-charge and state-of-health. The program combines theoretical knowledge with applied learning, preparing professionals to work with modern battery management systems.
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What you'll learn
Design equivalent-circuit models for lithium-ion battery cells, Implement state-of-charge (SOC) estimators for battery systems, Develop state-of-health (SOH) estimation algorithms, Create battery pack balancing systems, Implement power-limits estimators for battery packs, Understand fundamental lithium-ion cell operation, Master battery management system requirements.
Skills you'll gain
This course includes:
122 Hours PreRecorded video
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There are 5 courses in this program
Introduction to battery-management systems
Course 1 · 24 Hours to complete · 5 modules
Equivalent Circuit Cell Model Simulation
Course 2 · 27 Hours to complete · 6 modules
Battery State-of-Charge (SOC) Estimation
Course 3 · 27 Hours to complete · 7 modules
Battery State-of-Health (SOH) Estimation
Course 4 · 22 Hours to complete · 6 modules
Battery Pack Balancing and Power Estimation
Course 5 · 22 Hours to complete · 6 modules
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