2nd course in the Algorithms for Battery Management Systems Specialization
Instructor: Gregory Plett, Ph.D., Professor
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.
Prior knowledge needed: ECEA 5730, a Bachelor’s degree in Electrical, Computer, or Mechanical Engineering, or a B.S. degree with undergraduate-level competency in the following areas: Math: Differential and integral calculus, operations with vectors and matrices (mechanics of linear algebra), and basic differential equations, Engineering: Linear circuits (modeling resistors, capacitors, and sources), Programming: MATLAB, Octave, or similar scientific program environment
Learning Outcomes
- 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.
Syllabus
Duration: 5 hours
In this module, you will learn how to derive the equations of an equivalent-circuit model of a lithium-ion battery cell.
Duration: 5 hours
In this module, you will learn how to determine the parameter values of the static part of an equivalent-circuit model.
Duration: 7 hours
In this module, you will learn how to determine the parameter values of the dynamic part of an equivalent-circuit model.
Duration: 6 hours
In this module, you will learn how to generalize the capability of simulating the voltage response of a single battery cell to a profile of input current versus time to being able to simulate constant-voltage and constant-power control of a battery cell, as well as different configurations of cells built into battery packs.
Duration: 4 hours
In this module, you will learn how to co-simulate a battery pack and an electric-vehicle load. This ability aids in sizing vehicle components and the battery-pack.
Duration: 2 hours
In this final module for the course, you will modify three sample Octave programs to create functions that can simulate temperature-dependent cells, battery packs built from PCMs, and battery packs built from SCMs.
Duration: 2 hours
Final exam for the course.
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Grading
Assignment
|
Percentage of Grade
|
|
Quiz for week 1
|
8%
|
|
Quiz for week 2
|
8%
|
|
Quiz for week 3
|
8%
|
|
Quiz for week 4
|
8%
|
|
Quiz for lesson 2.5.1
|
1.6%
|
|
Quiz for lesson 2.5.2
|
1.6%
|
|
Quiz for lesson 2.5.3
|
1.6%
|
|
Quiz for lesson 2.5.4
|
1.6%
|
| Quiz for lesson 2.5.5 & 2.5.6 |
1.6% |
| Capstone design, "Manually tuning an ESC cell model" |
10% |
| Final exam |
50% |
Letter Grade Rubric
Letter Grade
|
Minimum Percentage
|
|
A
|
93.3%
|
|
A-
|
90.0%
|
|
B+
|
86.6%
|
|
B
|
83.3%
|
|
B-
|
80.0%
|
|
C+
|
76.6%
|
|
C
|
73.3%
|
|
C-
|
70.0%
|
|
D+
|
66.6%
|
|
D
|
60.0%
|
|
F
|
0%
|
|
