Retour à Battery State-of-Health (SOH) Estimation
Avis et commentaires pour d'étudiants pour Battery State-of-Health (SOH) Estimation par University of Colorado System
4.9
stars
14 évaluations
À propos du cours
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)
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1 - 2 sur 2 Avis pour Battery State-of-Health (SOH) Estimation
par John W
•Jun 01, 2019
excellent course in different statistical methods (different least squares methods) of estimating capacity. So much to learn in such a condense course. Aside from many coding examples, the main purpose is to teach statistical methods for optimizing capacity estimation and evaluate the performance of different methods. Its really up to the learner how much time they like to spend, either observing every little coding detail, or to just learning the main ideas.
par Vinayak S K
•Aug 15, 2019
Exceptional Professor!!
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