Algorithms for Battery Management Systems Specialization

In this specialization, you will learn the major functions that must be performed by a battery management system, how lithium-ion battery cells work and how to model their behaviors mathematically, and how to write algorithms (computer methods) to estimate state-of-charge, state-of-health, remaining energy, and available power, and how to balance cells in a battery pack.

WHAT YOU WILL LEARN

How to d​esign equivalent-circuit models for lithium-ion battery cells

How to implement state-of-charge (SOC) estimators for lithium-ion battery cells

H​ow to implement state-of-health (SOH) estimators for lithium-ion battery cells

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

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Equivalent Circuit Cell Model Simulation (Coursera)

In this course, you will learn the purpose of each component in an equivalent-circuit model of a lithium-ion battery cell, how to determine their parameter values from lab-test data, and how to use them to simulate cell behaviors under different load profiles.
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Introduction to battery-management systems (Coursera)

This course will provide you with a firm foundation in lithium-ion cell terminology and function and in battery-management-system requirements as needed by the remainder of the specialization.
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Battery Pack Balancing and Power Estimation (Coursera)

In this course, you will learn how to design balancing systems and to compute remaining energy and available power for a battery pack. 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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