Invention Reference Number
This invention addresses the challenges in designing bidirectional resonant converter system architecture. By introducing a novel design theory that simplifies equations, it reduces complexity while ensuring soft switching at any output power conditions. This improvement streamlines the design process, reducing engineering time and resource investment. The proposed new theory can support artificial intelligence (AI) algorithm development and make the bidirectional resonant converter design much easier compared to the existing design approaches.
Description
This invention presents a simplified design for a bi-directional resonant converter optimized for electric vehicle (EV) charging and vehicle-to-grid (V2G) applications. By removing the need for complex voltage and current gain functions, it allows for easier bidirectional resonant converter development, enhances performance, and provides a more reliable solution. The design theory ensures soft switching at any output power, improving efficiency and durability. This results in lower operating costs and supports more scalable and sustainable EV charging solutions, facilitating smoother integration with the grid and enhancing energy resilience for integrating EVs as energy storage units in the electrical grid.
Benefits
- Simplified design process: A new design approach for a bi-directional resonant converter system streamlines the overall design.
- Reduction of complexity: Eliminates the need for complex system transfer functions and optimization.
- Reduction of engineering time and resources: This new theory reduces the dependency on extensive simulations and manual tuning, streamlining engineering workflows and saving time.
- Enhanced AI development: Facilitates the development of artificial intelligence (AI) algorithms for resonant converter design.
Applications/Industries
- AI (Artificial Intelligence) algorithm development
- EV charger
- Fuel-cell
- Resonant converter
- Wireless energy transfer
Contact:
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.
