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Battery Pack Balancing and Power Estimation
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Battery Pack Balancing and Power Estimation

This course is part of Algorithms for Battery Management Systems.

Course Cost

Free course

Intermediate

Skill Level

21 Hours

Self-paced lessons

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Algorithms for Battery Management Systems Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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4.9

11,389 Enrolled

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English

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olive-leaves-logo

4.9

11,389 Enrolled

olive-leaves-logo

English

What you'll learn

  • Design passive and active balancing circuits

  • Compute battery pack power limits

  • Implement balancing algorithms

  • Evaluate different balancing strategies

  • Develop power estimation methods

  • Optimize battery pack performance

Skills you'll gain

Battery Pack Design
Power Estimation
Cell Balancing
Circuit Design
Battery Management
Energy Systems
Power Electronics
System Modeling
Algorithm Implementation
Octave Programming

This course includes:

6.7 Hours PreRecorded video

1 quiz, 28 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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There are 6 modules in this course

This comprehensive course covers the design and implementation of battery pack balancing systems and power estimation algorithms. Students learn both passive and active balancing methods, component selection, and implementation using Octave/MATLAB. The curriculum includes power limit estimation using simplified and comprehensive cell models, with practical applications for electric vehicle systems. Future trends in battery management systems using physics-based models are also explored.

Passive balancing methods for battery packs

Module 1 · 3 Hours to complete

Active balancing methods for battery packs

Module 2 · 3 Hours to complete

How to find available battery power using a simplified cell model

Module 3 · 2 Hours to complete

How to find available battery power using a comprehensive cell model

Module 4 · 4 Hours to complete

Future Battery-Management-System Algorithms

Module 5 · 5 Hours to complete

Capstone project

Module 6 · 4 Hours to complete

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Algorithms for Battery Management Systems

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Battery Pack Balancing and Power Estimation

Intermediate

Skill Level

21 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.