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.
Suggested prerequisites are: programming fundamentals, embedded architectures, electronic devices, control theory, basic power converters.
Course contents summary
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.
1. Model-based design of power converters and systems (2 h)
2. System partitioning and abstraction levels (2 h)
3. The building system (2 h)
4. Programming tools: from dongles to bootloaders (2 h)
5. Numerical analysis: recurrent execution, real-time computation and benchmarking (2 h)
6. Numerical analysis: solvers and optimizers (2 h)
7. Numerical analysis examples [tutorial] (2 h)
8. V-model, automatic test-benches and documentation (2 h)
9. Tools for test automation and unit testing: static and dynamic test (2 h)
10. MIL, SIL, PIL and HIL validation and tools [tutorial] (2 h)
11. Version Control Systems: basic principles and comparative analysis (2 h)
12. Version Control Systems: use cases and team operations [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)
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.
Chung Et Al., "Reliability Of Power Electronic Converter Systems", Iet, 2015.
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.
In the eventuality of restrictions to gatherings, classes will be given online, recorded via Teams and published via Elly.