DOE OSTI · 2516811
Electric Drive Technologies Research: ELT223 Component Modeling, Co-Optimization, and Trade-Space Evaluation Annual Report
Abstract
This project is intended to support the development of new traction drive systems that meet the targets of 100 kW/L for power electronics and 50 kW/L for electric machines with reliable operation to 300,000 miles. To meet these goals, new designs must be identified that make use of state-of-the-art and next-generation electronic materials and design methods. Designs must exploit synergies between components, for example converters designed for high-frequency switching using wide band gap (WBG) devices and ceramic capacitors. This project included: (1) a survey of available technologies; (2) investigating new technologies, that for example, reduce volume of thermal management or magnetic components; (3) the development of computer aided design tools that consider the converter volume, reliability, and electrical performance; (4) exercising the design software to evaluate performance gaps and predict the impact of certain technologies and design approaches, i.e. GaN semiconductors, ceramic capacitors, ceramic thermal management components, and select topologies; (5) building and testing hardware prototypes to validate models and concepts. The design tools enable co-optimization of the power module and passive elements and provide some design guidance. At the end of the project, new advanced computing methods, such as machine learning approaches, were considered.
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Neely, Jason Christopher [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)], Yates, Luke [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)], Gill, Lee [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)], Subramania, Ganapathi Subramanian [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)] (ORCID:0000000262880344). 2025-01-01. Electric Drive Technologies Research: ELT223 Component Modeling, Co-Optimization, and Trade-Space Evaluation Annual Report. https://doi.org/10.2172/2516811
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