返回到 Battery State-of-Health (SOH) Estimation
University of Colorado Boulder

Battery State-of-Health (SOH) Estimation

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)

状态:Model Evaluation
状态:Algorithms
中级课程小时

精选评论

MH

5.0评论日期: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.

SS

5.0评论日期:Mar 29, 2024

Perfect course if you want to learn a to z of battery management system from scratch.

AK

5.0评论日期: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

SK

5.0评论日期:Aug 23, 2020

Gave brief overview of SOH and helps in understanding the basic concepts.

HJ

5.0评论日期:Nov 13, 2022

tThank to give an best opportunityto learn moreasily

JJ

5.0评论日期:May 23, 2022

Great course with a an emphasis on using the previous courses to create useful programs

DM

5.0评论日期:Apr 17, 2023

Challenging and sufficient enough to impart the skills necessary to develop reliable battery management systems algorithms.

AS

5.0评论日期:Apr 8, 2020

A detailed course on battery capacity estimation, which covers overall perspectives, and complications in the SOH estimation of the battery.

ML

5.0评论日期:Aug 27, 2024

A great place to start understanding battery aging

VK

5.0评论日期:May 29, 2020

Good course. Nice insight on optimization techniques. Problems and cases studies are really good

所有审阅

显示:20/43

Davide Cavaliere
5.0
评论日期:May 9, 2020
Albert Skegro
5.0
评论日期:Mar 2, 2020
John Wang
5.0
评论日期:May 31, 2019
suresh kumar
5.0
评论日期:Mar 11, 2020
Roman Fedoryshyn
5.0
评论日期:Mar 29, 2023
Mahmoud Hassan
5.0
评论日期:Sep 12, 2022
Anant kumar
5.0
评论日期:Sep 23, 2020
Apurv Singh
5.0
评论日期:Apr 9, 2020
derick mwangi
5.0
评论日期:Apr 18, 2023
5.0
评论日期:Sep 3, 2023
Varun Kalkur
5.0
评论日期:May 30, 2020
JustinSmith
5.0
评论日期:May 24, 2022
Sajad Saberi
5.0
评论日期:Mar 30, 2024
Suryakant Arvind Kuvalekar
5.0
评论日期:Aug 23, 2020
Harish Jayaraj
5.0
评论日期:Nov 14, 2022
Mateus Lorenzoni
5.0
评论日期:Aug 28, 2024
Shovan Raj Shrestha
5.0
评论日期:Oct 1, 2020
Vinayak Kulkarni
5.0
评论日期:Aug 15, 2019
SURAJ D
5.0
评论日期:Nov 15, 2022
HIMANSHU MAITHANI
5.0
评论日期:Jun 26, 2023