Open AccessOptimal peak flux density model (OPFDM) for non‐iterative design of high‐frequency gapped transformer (HFGT) in LLC resonant converters
Author(s) -
Ahmed Daniyal,
Wang Li
Publication year - 2020
Publication title -
iet power electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.637
H-Index - 77
eISSN - 1755-4543
pISSN - 1755-4535
DOI - 10.1049/iet-pel.2019.0316
Subject(s) - duty cycle , transformer , converters , waveform , voltage , optimal design , frequency domain , electronic engineering , control theory (sociology) , computer science , engineering , electrical engineering , control (management) , machine learning , artificial intelligence , computer vision
In LLC resonant converters, litz‐wire high‐frequency gapped transformer (HFGT) is one of the most critical components, responsible for efficient operation. However, it is also a major contributor to overall weight and volume. Therefore, designers perform multi‐objective optimisation for minimising its losses and size, which is itself complex and cumbersome. This usually requires many iterations because the losses vary non‐linearly with the decrease in size. The selection of initial‐setup parameter (ISP) values, plays a vital role in overall performance improvement of the optimisation. The closer the ISPs to optimal values, the smaller are the iterations required for convergence. Therefore, this study proposes an optimal peak flux density model (OPFDM), considering the voltage excitation waveform, duty cycle, core material parameters, and the response of litz‐wire to high‐frequency. The aim is to obtain an optimised HFGT design through a non‐iterative approach by directly estimating optimal values of ISPs through OPFDM. The designed HFGT results in minimised losses and size, while keeping the thermal constraints within limits. Moreover, the impact of frequency and duty cycle on OPFDM is also presented. The proposed model is implemented to design HFGT for 380 VDC/12 VDC LLC converter. Comparison‐based analytical, finite‐elements method and experimental results validate the model.