Analysis of Interleaved DC-DC Converter using ANFIS Control for EV Charging Applications

Robust and intelligent control algorithm design is very essential in the development of power electronics converter to maintain constant output voltage regardless of the variations in input voltage and load. In this article, simulation and analysis of interleaved DC-DC converter for electric vehicle charging applications using adaptive neuro-fuzzy inference system (ANFIS) are presented. The ANFIS based control algorithm for the DC-DC converter is designed to stabilize output voltage and enhance the performance of the system during transient operations. To verify the design, two-phase interleaved synchronous DC-DC buck converter is simulated in MATLAB-Simulink based environment and simulation results on resistive load are presented.