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Algorithms for Battery Management Systems

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.

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What's inside

Five courses

Introduction to battery-management systems

This course provides a foundation in lithium-ion cell terminology and function, and battery-management-system requirements. Upon completion, you will be able to:

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Equivalent Circuit Cell Model Simulation

In this course, you will learn about equivalent-circuit models of lithium-ion battery cells. You will learn how to determine parameter values from lab-test data and use them to simulate cell behaviors under different load profiles.

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Battery State-of-Charge (SOC) Estimation

This course, also offered for academic credit as ECEA 5732, teaches state-of-charge estimation methods for batteries. Students will learn to implement voltage-based and current-based estimators, understand sequential-probabilistic-inference solutions, and execute scripts for Kalman filters and sigma-point Kalman filters. Additionally, they will learn to detect and discard faulty voltage-sensor measurements.

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Battery State-of-Health (SOH) Estimation

This course teaches how to estimate battery state-of-health (SOH) using different methods, including WLS, WTLS, and AWTLS. Students will learn to identify degradation mechanisms in lithium-ion cells and evaluate the merits of different SOH estimation methods.

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Battery Pack Balancing and Power Estimation

This course teaches how to design balancing systems and compute remaining energy and available power for a battery pack. By the end, you will be able to evaluate design choices for cell balancing, design component values for a simple passive balancing circuit, use simulation tools to evaluate balancing speed, compute remaining energy and available power using a simple cell model, and use a script to compute available power using a comprehensive equivalent-circuit cell model.

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Learning objectives

How to design equivalent-circuit models for lithium-ion battery cells
How to implement state-of-charge (soc) estimators for lithium-ion battery cells

How to implement state-of-health (soh) estimators for lithium-ion battery cells
How to design balancers and power-limits estimators for lithium-ion battery packs

How to design equivalent-circuit models for lithium-ion battery cells
How to implement state-of-charge (soc) estimators for lithium-ion battery cells
How to implement state-of-health (soh) estimators for lithium-ion battery cells
How to design balancers and power-limits estimators for lithium-ion battery packs

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Time

0 hours

Level

Intermediate

Via

Coursera

Institutions

University of Colorado Boulder

University of Colorado System

Instructors

Gregory Plett

Abigail Rose

Level

Intermediate

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