LLC rezonans dönüştürücüsündeki hava aralıklı manyetik bileşenler için yeni bir optimizasyon yöntemi

The LLC resonant converter design is a very challenging design problem for electric vehicle charging applications, since Lm, Lr, Cr and the quality factor are complex functions of voltage gain and it is very hard to find a choice of switching frequency range that can provide Zero Voltage Switching (ZVS) serving the voltage gains depending on the application. This study presents a new nature-inspired mathematical method-based design methodology that can evaluate multiple design components and constraints together for air gap magnetic components. The proposed method selects the most convenient design among numerous cores in the created core database by using the Particle Swarm Algorithm. Unlike the traditional design algorithms, the proposed novel algorithm determines the optimal magnetic flux density by minimizing an objective function that includes the loss, cost, and volume of magnetic components. The presented method was tested for a 3700W, 48V LLC resonant converter installed in a lightweight EV charger. In the algorithm, a design study was carried out considering the multi-core structures in which serial and parallel multi-couplings are applied in the primary and secondary windings, respectively. The designed magnetic components were validated in the common simulation environment of Ansys Electronic Desktop and Simplorer, and the most convenient core structures were selected from the core database. It was shown that the proposed method can be used as part of a system-level optimization algorithm where multiple combinations can be evaluated together and rapidly to find the most suitable LLC resonant converter design.