Learning objectives
Apply model-based techniques to the design of complex electronics-based power systems;
Master advanced techniques for modeling and implementing control systems applied to energy management;
Forecast reliability of electronic power systems and make choices to maximize lifetime by design;
Devise diagnostic and prognostic algorithms for power electronics;
Know and design gate drivers and sensors for power electronics devices.
Prerequisites
Suggested prerequisites are: programming fundamentals, embedded architectures, electronic devices, control theory, basic power converters.
Course unit content
Model-based design of power converters and systems;
Numerical analysis and programming tools;
V-model and MIL, SIL, PIL and HIL validation;
Version control systems;
Design-for-reliability in power electronics;
Gate drivers for electronic power devices;
Faults in power electronics, diagnosis, prognostics;
Advanced sensors for power system control and reliability.
Full programme
1. Model-based design of power converters and systems (2 h)
2. System partitioning and abstraction levels (2 h)
3. V-model, automatic test-benches and documentation (2 h)
4. Mil, sil, pil and hil validation and tools (2 h)
5. The building and programming system (2 h)
6 version control systems: basic principles and comparative analysis (2 h)
7. Numerical analysis: real-time computation (2 h)
8. Numerical analysis: solvers (2 h)
9 numerical analysis: optimizers (2 h)
10. Numerical analysis: system modeling and identification [tutorial] (2 h)
11. High-level modeling of power converters (2 h)
12. Control modeling for power converters [tutorial] (2 h)
13. Design-for-reliability in power electronics (2 h)
14. Lifetime models for power system components (2 h)
15. Simulation workflow for reliability prediction [tutorial] (2 h)
16. Gate drivers for power electronics devices (2 h)
17. Active gate drivers for wide bandgap devices (2 h)
18. Active thermal control of power electronics (2 h)
19. Faults in power electronics (2 h)
20. Power electronics diagnostics (2 h)
21. Prognostics algorithms (2 h)
22. Advanced sensors for power system control and reliability (2 h)
23. Logging and counting techniques (2 h)
24. Design of advanced sensing and driving circuits for power electronics [tutorial] (2 h)
Bibliography
Orłowska-Kowalska Et Al., "Advanced And Intelligent Control In Power Electronics And Drives", Springer, 2014.
Lee Et Al., "Reliability Improvement Technology For Power Converters", Springer, 2017.
Iannuzzo F (ed.), Modern Power Electronic Devices: Physics, Applications, and Reliability. Stevenage, UK: IET;
2020.
Chung Et Al., "Reliability Of Power Electronic Converter Systems", Iet, 2015.
Teaching methods
Class lectures and tutorials using relevant software tools.
Assessment methods and criteria
Oral exam (mandatory) and course project (optional) on a relevant topic connected to the proposed contents.
Other information
In the eventuality of restrictions to gatherings, classes will be given online, recorded via Teams and published via Elly.
