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.
Algorithms for Battery Management Systems Specialization
Algorithms for Battery Management Systems Specialization
Get Started in Algorithms for Battery Management. Learn how to model lithium-ion battery cells, and how to use those models to manage battery packs
Instructor: Gregory Plett
Included with 
Get in-depth knowledge of a subject
(1,786 reviews)
Intermediate level
Recommended experience
3 months at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
(1,786 reviews)
Intermediate level
Recommended experience
3 months at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
What you'll learn
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
Overview
Skills you'll gain
- Failure Analysis
- Thermal Management
- Electronic Components
- Safety Standards
- Mathematical Modeling
- Electrical Safety
- Control Systems
- High Voltage
- Electronic Systems
- Basic Electrical Systems
- Electrical Power
- Simulations
- Applied Mathematics
- Power Electronics
- Laboratory Testing
- Estimation
- Electrical Systems
- Probability
- Electrical Engineering
Tools you'll learn
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in English
161 practice exercises
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from University of Colorado System
Specialization - 5 course series
What you'll learn
Understand how lithium-ion battery cells work
Understand the requirements of a battery-management system
Skills you'll gain
Manufacturing Processes, Materials science, Failure Analysis, Thermal Management, Safety Standards, Requirements Analysis, Electrical Systems, Electronic Components, High Voltage, Electrical Safety, Chemistry, Control Systems, Chemical Engineering, Energy and Utilities, Electrical Engineering, and Basic Electrical Systems
What you'll learn
How to design equivalent-circuit models for lithium-ion battery cells
Skills you'll gain
Simulations, Mathematical Modeling, Numerical Analysis, Electrical Engineering, Predictive Modeling, Electrical Systems, Power Electronics, Electronic Systems, Basic Electrical Systems, Analytical Testing, Scripting, Matlab, Engineering Calculations, Laboratory Testing, Scripting Languages, Engineering Analysis, and Applied Mathematics
What you'll learn
How to implement state-of-charge (SOC) estimators for lithium-ion battery cells
Skills you'll gain
Estimation, Performance Tuning, Mathematical Modeling, Probability, Applied Mathematics, Electrical Systems, Control Systems, Simulation and Simulation Software, and System Requirements
What you'll learn
How to implement state-of-health (SOH) estimators for lithium-ion battery cells
Skills you'll gain
Estimation, Applied Mathematics, Mathematical Modeling, Simulations, Numerical Analysis, Matlab, Statistical Methods, Electronic Components, Calculus, Electric Power Systems, Chemistry, Electrical Engineering, Scripting, Laboratory Testing, and Algorithms
What you'll learn
How to design balancers and power-limits estimators for lithium-ion battery packs
Skills you'll gain
Estimation, Electrical Engineering, Mathematical Modeling, Power Electronics, Control Systems, Simulations, Algorithms, Matlab, Electrical Power, and Electronic Components
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Build toward a degree
This Specialization is part of the following degree program(s) offered by University of Colorado Boulder. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹
Instructor
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Frequently asked questions
The standard version of this specialization is 20 weeks in duration. The honors track requires an additional 4 weeks of study.
This is a graduate-level specialization that assumes that learners already hold a technical undergraduate degree: a Bachelor's degree in Electrical Engineering, Computer Engineering, or Mechanical Engineering or a Bachelor's degree in a closely related engineering discipline plus undergraduate-level competency in the following areas: Math (differential and integral calculus, linear algebra, and differential equations), Science (calculus-based physics and general chemistry), and Engineering (linear circuits, electronics, and linear systems)
The courses are designed to be taken in order, from Course 1 through Course 5. Course 1 gives a broad overview, background concepts, and context for the others; Course 2 is a strong prerequisite for the remaining courses since it describes the mathematical and programming frameworks that will be used; Course 3 includes topics in random variables that are important for Course 4. Course 5 is the only exception, and may be taken any time after completing Course 2.
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Financial aid available,