Description:

The course provides an introduction to batteries and battery systems management. Students will learn how to test, model, parameterize battery models or build algorithms for estimating battery states (e.g. state of charge and lifetime). The course combines theoretical knowledge with practical experience to give students the skills needed to solve real-world problems in the rapidly developing field of battery technology.

Contents:

1) Introduction to Batteries
2) Battery Management Systems for Batteries
3) Electrical Circuit Models and Their Discretization
4) Characterization, Parametrization, and Validation of Battery Models
5) State Estimation using Kalman Filters and Least Square Methods
6) Non-linear Kalman Filters and Parameter Estimation Techniques
7) State-of-Charge Estimation
8) Online Parameter Identification and Other Functionalities
9) Online State-of-Health Estimation
10) Offline State-of-Health Estimation and Diagnostics
11) Data-Driven Methods, Machine Learning, and Artificial Intelligence
12) Integration of Algorithms, Battery Pack Management, and System Management
13) Control Systems and Optimization in Applications
14) Reserve

Seminar contents:

1) Introduction and Safety in the Laboratory
2) Battery Management Systems
3) MATLAB
4) Battery Testing
5) Implementation of Mathematical Models
6) Parametrization and Validation of Battery Models
7) State-of-Charge Estimation
8) State-of-Charge Estimation
9) Online State-of-Health Estimation
10) Online Parameter Identification and Other Functionalities
11) Data-Driven Methods, Machine Learning, and Artificial Intelligence
12) Integration of Algorithms, Battery Pack Management, and System Management
13) Offline State-of-Health Estimation and Diagnostics
14) Reserve

Recommended literature:

https://moodle.fel.cvut.cz/courses/BEVM13TMO

? Plett, G.L., Battery Management Systems: Battery Modeling, vol. 1, Artech House, 2015, ISBN: 978-1-63081-023-8.
? Plett, G.L., Battery Management Systems: Equivalent-Circuit Methods, vol. 2, Artech House, 2016, ISBN: 978-1-63081-027-6.
? Simon, D.: Optimal State Estimation: Kalman, H Infinity, and Nonlinear Approaches. Wiley, 2006, ISBN: 978-0-471-70858-2
? Lewis, F. L., L. Xie, D. Popa: Optimal and Robust Estimation: With an Introduction to Stochastic Control Theory, CRC Press, 2005. ISBN 978-1-4200-0829-6

Abbreviations used:

Semester:

• W ... winter semester (usually October - February)
• S ... spring semester (usually March - June)
• W,S ... both semesters

Mode of completion of the course:

• A ... Assessment (no grade is given to this course but credits are awarded. You will receive only P (Passed) of F (Failed) and number of credits)
• GA ... Graded Assessment (a grade is awarded for this course)
• EX ... Examination (a grade is awarded for this course)
• A, EX ... Examination (the award of Assessment is a precondition for taking the Examination in the given subject, a grade is awarded for this course)

Weekly load (hours per week):

• P ... lecture
• C ... seminar
• L ... laboratory
• R ... proseminar
• S ... seminar