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Battery State-of-Health (SOH) Estimation
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Battery State-of-Health (SOH) Estimation

This course is part of Algorithms for Battery Management Systems.

Course Cost

Free course

Intermediate

Skill Level

20 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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4.7

14,543 Enrolled

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English

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olive-leaves-logo

4.7

14,543 Enrolled

olive-leaves-logo

English

What you'll learn

  • Understand lithium-ion cell degradation mechanisms

  • Implement total capacity estimation methods

  • Calculate confidence intervals for estimates

  • Compute equivalent series resistance

  • Develop Kalman filter-based estimators

  • Evaluate different estimation approaches

Skills you'll gain

Battery Health Analysis
State Estimation
Degradation Mechanisms
Total Capacity Estimation
Resistance Estimation
Kalman Filtering
Statistical Methods
Battery Systems
Least Squares
Parameter Estimation

This course includes:

5.7 Hours PreRecorded video

31 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 6 modules in this course

This comprehensive course explores methods for estimating and tracking battery state-of-health, focusing on lithium-ion cell degradation mechanisms and estimation techniques. Students learn about capacity decrease and resistance increase phenomena, implementing various estimation methods including weighted least squares and Kalman filtering approaches. The curriculum covers both theoretical foundations and practical implementation using Octave/MATLAB, including confidence interval computation and parameter estimation techniques.

How does lithium-ion cell health degrade?

Module 1 · 4 Hours to complete

Total-least-squares battery-cell capacity estimation

Module 2 · 3 Hours to complete

Simplified total-least-squares battery-cell capacity estimates

Module 3 · 3 Hours to complete

How to write code for the different total-capacity estimators

Module 4 · 4 Hours to complete

A Kalman-filter approach to total capacity estimation

Module 5 · 3 Hours to complete

Capstone project

Module 6 · 3 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

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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 State-of-Health (SOH) Estimation

Intermediate

Skill Level

20 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.