Magnetics Design Optimization for LLC Converter employing Machine Learning
- Resource Type
- Conference
- Authors
- Tung, Nguyen Tan; Pong, Man-Hay; Chiu, Huang-Jen
- Source
- 2023 11th International Conference on Power Electronics and ECCE Asia (ICPE 2023 - ECCE Asia) Power Electronics and ECCE Asia (ICPE 2023 - ECCE Asia), 2023 11th International Conference on. :1219-1224 May, 2023
- Subject
- Components, Circuits, Devices and Systems
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Power, Energy and Industry Applications
Robotics and Control Systems
Transportation
Windings
Asia
Prototypes
Estimation
Machine learning
Transformer cores
Transformers
Bayesian optimization
LLC converter
magnetics design
multiphysics simulations
- Language
- ISSN
- 2150-6086
This paper proposes an intelligent and machine-learning based optimization method that targets to optimal windings layer setup for LLC converter transformer with small number of optimizing iterations. The research utilizes Bayesian optimization (BO) to guide designers toward winding layers setup that achieves the maximum efficiency at nominal operating point of LLC converters. Furthermore, a new multiphysics simulation platform is proposed for feeding efficiencies to optimizing iterations. This simulation platform is able to provide entire losses estimation, high simulation accuracy is verified by measurement. An LLC converter prototype with 33V input and 400V/250W output is implemented to demonstrate effectiveness of proposed optimization method.