Co-Optimization of Boost Converter Reliability and Volumetric Power Density [Brief]
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Optimized designs were achieved using a genetic algorithm to evaluate multi-objective trade space, including Mean-Time-Between-Failure (MTBF) and volumetric power density. This work provides a foundational platform that can be used to optimize additional power converters, such as an inverter for the EV traction drive system as well as trade-offs in thermal management due to the use of different device substrate materials.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Program (EE-2G)
- DOE Contract Number:
- AC04-94AL85000; NA0003525
- OSTI ID:
- 1712847
- Report Number(s):
- SAND--2020-12367R; 691860
- Country of Publication:
- United States
- Language:
- English
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