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

学生对 University of Colorado Boulder 提供的 Battery State-of-Health (SOH) Estimation 的评价和反馈

4.7
158 个评分

课程概述

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)...

热门审阅

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

筛选依据:

26 - Battery State-of-Health (SOH) Estimation 的 43 个评论(共 43 个)

创建者 DHIVAKARAN R E 2

Nov 22, 2022

good

创建者 Rohith P

Nov 22, 2022

very

创建者 Vetriselvan.P

Nov 15, 2022

GOOD

创建者 S S

Nov 11, 2022

good

创建者 VIGNESH S

Nov 11, 2022

good

创建者 Fernando S Á

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.

创建者 Cagatay C

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.

创建者 Bernard R A

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.

创建者 Anton L

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

创建者 J S V S K

Sep 25, 2020

Course is good but its taking time to understand

创建者 pooma y

Nov 16, 2022

improve my knowledge

创建者 Kesavan D

Nov 20, 2022

good

创建者 SANJAY . V

Nov 17, 2022

nice

创建者 KAVIBALAN.R -

Nov 15, 2022

good

创建者 ABI S R

Nov 9, 2022

good

创建者 Klaus H

Jun 13, 2020

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

创建者 Tochukwu N

Dec 5, 2021

Though it is generally a nice course, felt overwhelming

创建者 Sivakumar

Nov 6, 2023

Nice