Equivalent Circuit Cell Model Simulation
Algorithms for Battery Management Systems,
This course can also be taken for academic credit as ECEA 5731, part of CU Boulder’s Master of Science in Electrical Engineering degree. In this course, you will learn the purpose of each component in an equivalent-circuit model of a lithium-ion battery cell, how to determine their parameter values from lab-test data, and how to use them to simulate cell behaviors under different load profiles. By the end of the course, you will be able to: - State the purpose for each component in an equivalent-circuit model - Compute approximate parameter values for a circuit model using data from a simple lab test - Determine coulombic efficiency of a cell from lab-test data - Use provided Octave/MATLAB script to compute open-circuit-voltage relationship for a cell from lab-test data - Use provided Octave/MATLAB script to compute optimized values for dynamic parameters in model - Simulate an electric vehicle to yield estimates of range and to specify drivetrain components - Simulate battery packs to understand and predict behaviors when there is cell-to-cell variation in parameter values
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| Rating | 4.1★ based on 9 ratings |
|---|---|
| Length | 7 weeks |
| Starts | Jul 3 (45 weeks ago) |
| Cost | $99 |
| From | University of Colorado System, University of Colorado Boulder via Coursera |
| Instructor | Gregory Plett |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming Engineering |
| Tags | Computer Science Algorithms Physical Science And Engineering Electrical Engineering |
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What people are saying
threads are years old
Threads are years old and no mentor available.
requires significant matlab knowledge
Useful information, but definitely disappointing that you can easily get 100% throughout the course and then be caught by surprise on a capstone project that requires significant Matlab knowledge beyond the scope of the rest of the course material.
engineer interested in battery
A fundamental course for any engineer interested in battery control algorithms.
dr.gregory l plett
Thanks to Dr.Gregory L Plett and Coursera team for providing me a wonderful opportunity to learn.Thank YouRegardsSuresh Kumar Would have been a lot better if the final programming assignment had any support for questions.
battery control algorithms
caught by surprise
learn.thank youregardssuresh kumar
programming assignment had
coursera team
for example
For example, some testing data to validate before submission.
good class
Good class for the fundamentals.
not easy
Not easy but possible.
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Partner, Values-Based Leadership, TPSD and Alumni Affairs $193k
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| Rating | 4.1★ based on 9 ratings |
|---|---|
| Length | 7 weeks |
| Starts | Jul 3 (45 weeks ago) |
| Cost | $99 |
| From | University of Colorado System, University of Colorado Boulder via Coursera |
| Instructor | Gregory Plett |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming Engineering |
| Tags | Computer Science Algorithms Physical Science And Engineering Electrical Engineering |
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