Engineering
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Algorithms for Battery Management Systems Specialization

Course Cover

5

(3)

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Course Features

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Duration

8 months

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Effort

4 hours per week

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Teaching Type

Self Paced

Course Description

This specialization will help you understand the core functions of a battery management program. Learn how lithium-ion batteries function and how they behave mathematically. You will also learn how to make algorithms (computer programs) that calculate state-of-charge, state-of-health, remaining energy, and power, and balance the cells within a pack.

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Highlights

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Rating & Reviews

Top 30 Percentile

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Hands on training

Top 5 Percentile

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Parameters

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Hands on training

This course stands out as one of the top 5 percentile options in Electromagnetic Engineering, offering unparalleled hands-on training. Learners gain practical experience and skills through immersive learning, preparing them for real-world challenges. It ensures a well-rounded skill set, catering to a range of learning preferences. With a focus on Hands on training as well as essential Case Based Learning and Virtual Labs, this course is tailored to meet diverse educational needs.

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Rating & Reviews

This highly acclaimed course is among the top-rated in Electromagnetic Engineering, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in Electromagnetic Engineering.

Course Overview

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Virtual Labs

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

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

Course Instructors

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Gregory Plett

Professor

I received my B.Eng. degree in Computer Systems Engineering from Carleton University (Ottawa, Canada) in 1990, and my M.S.E.E. and Ph.D. degrees in Electrical Engineering from Stanford University (St...

Course Reviews

Average Rating Based on 3 reviews

5.0

100%

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