Overall Interleaved Boost Converter Multiple-Objective Optimization Design

Abstract

How to improve power converter efficiency and power density always being a hot research topic, multiple optimization has been applied to obtain better converter performance. This paper combines interleaved boost converter design and external inductor design to build a mathematical model of an overall system. The optimization variables are the inductor value, inductor dimension parameters, and switching frequency. The optimization objectives are to increase the overall system efficiency, to decrease the inductor volume, and to lower the current ripple. A multiple-objective optimization non-dominated sorting genetic algorithm (NSGA-II) has been applied to solve the proposed model problem. An experiment test bench has also been set up to verify the calculation results.