Overall Interleaved Boost Converter Multiple-Objective Optimization Design

被引：0
|
作者：
Liu, Guanliang
Zhou, Weiyang
Wu, Qunfang
Wang, Mengqi
机构：
来源：
2020 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE) | 2020年
关键词：
PFC;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
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.
引用
收藏
页码：6293 / 6297
页数：5
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