Creator: University of Colorado Boulder & University of Colorado System
Category: Software > Computer Software > Educational Software
Topic: Electrical Engineering, Physical Science and Engineering
Tag: credit, Data, Matlab, results, test
Availability: In stock
Price: USD 99.00
This course can also be taken for academic credit as ECEA 5732, part of CU Boulder's Master of Science in Electrical Engineering degree.
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In this course, you will learn how to implement different state-of-charge estimation methods and to evaluate their relative merits. By the end of the course, you will be able to: – Implement simple voltage-based and current-based state-of-charge estimators and understand their limitations – Explain the purpose of each step in the sequential-probabilistic-inference solution – Execute provided Octave/MATLAB script for a linear Kalman filter and evaluate results – Execute provided Octave/MATLAB script for state-of-charge estimation using an extended Kalman filter on lab-test data and evaluate results – Execute provided Octave/MATLAB script for state-of-charge estimation using a sigma-point Kalman filter on lab-test data and evaluate results – Implement method to detect and discard faulty voltage-sensor measurements