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Affiliation of Author(s):自动化学院

Title of Paper:Parameter Optimization of a S/P Compensated Contactless Converter Based on Improved Genetic Algorithm FHMODE

Journal:2018 IEEE PELS WORKSHOP ON EMERGING TECHNOLOGIES: WIRELESS POWER TRANSFER (WOW)

Key Words:contactless power transfer coil misalignment multi-objective optimization genetic algorithm nonlinear constraint

Abstract:The characteristics of the contactless power converters are affected by a number of parameters, and there are several design considerations for a contactless converter, which brings great difficulties for the design optimization. Based on the constraints of multiple conditions in practical converter design, a fast hybrid multi-objective algorithm with merit of differential and non-domination algorithm is proposed to optimize efficiency, input phase angle and power density for multiple objectives. Finally, this algorithm optimization is used to design a S/P compensated contactless converter compared with traditional design method to demonstrate the superiority of the proposed approach. Experimental results verify the effectiveness of the algorithm method.

Translation or Not:no

Date of Publication:2018-01-01

Co-author:赵敏琦,REN Xiaoyong

Correspondence Author:Jane Chen