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

Learner Reviews & Feedback for Battery State-of-Health (SOH) Estimation by University of Colorado Boulder

4.7
stars
155 ratings

About the Course

This course can also be taken for academic credit as ECEA 5733, part of CU Boulder’s Master of Science in Electrical Engineering degree. In this course, you will learn how to implement different state-of-health estimation methods and to evaluate their relative merits. By the end of the course, you will be able to: - Identify the primary degradation mechanisms that occur in lithium-ion cells and understand how they work - Execute provided Octave/MATLAB script to estimate total capacity using WLS, WTLS, and AWTLS methods and lab-test data, and to evaluate results - Compute confidence intervals on total-capacity estimates - Compute estimates of a cell’s equivalent-series resistance using lab-test data - Specify the tradeoffs between joint and dual estimation of state and parameters, and steps that must be taken to ensure robust estimates (honors)...

Top reviews

MH

Sep 11, 2022

Very informative course that explain the causes of degradation happen on battey cells and how to estimate the main quantities that affect the battery health using different regression techniques.

AK

Sep 22, 2020

It was very new to me, and very interesting stuff. It became even better with the instructor's skill.

I would love recommending it to my friends

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26 - 43 of 43 Reviews for Battery State-of-Health (SOH) Estimation

By DHIVAKARAN R E 2

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Nov 22, 2022

good

By 5306 P R

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Nov 22, 2022

very

By Vetriselvan.P

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Nov 16, 2022

GOOD

By S S

•

Nov 11, 2022

good

By VIGNESH S

•

Nov 11, 2022

good

By Fernando S Á

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Feb 18, 2020

Personally, I believe that the capsone project is really impractical, as it is defined. You do not have to apply directly the knowledge you learned throughout the ourse, but instead try thousands of combinations of the pair (dz, gamma) to obtain a really precise value for the rms error. I have spent many hous (would say more than 10) trying to achieve so, and I think I'm not the only one, considering the discussion forums. Frankly, I was really disappointed. Appart from that, the course was great, but I hope that the fact mentioned above does not discourage many people.

By Cagatay C

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Mar 26, 2021

I think the content and the way Dr. Plett teaches is amazing. He has a great textbook and his quizzes that follow the lecture reinforces the learning. I only got 1 star off because of the programming assignments. I understand they were aimed for a wider audience but for those in research it wasn't as fruitful.

By Bernard R A

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May 23, 2020

Very good in-depth introduction to aging mechanisms of Li-Ion batteries, together with sound mathematical foundations.

In a future, revised version of this course, I'd like to have a few more details on the Dual- and Joint-Kalman filter approaches.

By Anton L

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Jul 18, 2021

The course is going very deep in to mathematical models. I like the offered code samples as they allow to understand the functions in more detail

By J S V S K

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Sep 26, 2020

Course is good but its taking time to understand

By pooma y

•

Nov 16, 2022

improve my knowledge

By Kesavan D

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Nov 20, 2022

good

By SANJAY . V

•

Nov 17, 2022

nice

By KAVIBALAN.R -

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Nov 15, 2022

good

By ABI S R

•

Nov 9, 2022

good

By Klaus H

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Jun 13, 2020

Jupyter Notebook kernel often crashes, it is slow and bad for debugging.

By Tochukwu N

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Dec 5, 2021

Though it is generally a nice course, felt overwhelming

By Sivakumar

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Nov 6, 2023

Nice