Publication:
Analysis of shielding effectiveness by optimizing aperture dimensions of a rectangular enclosure with genetic algorithm

Thumbnail Image

Date

2021-01-01

Authors

Güler, Sunay

Authors

Güler, Sunay
Yenikaya, Sibel

Journal Title

Journal ISSN

Volume Title

Publisher

Tübitak Bilimsel ve Teknolojik Araştırma Kurumu

Research Projects

Organizational Units

Journal Issue

Abstract

Electromagnetic compatibility (EMC) has now become a substantial challenge more than any other time since the number of electric vehicles (EV) increased rapidly. The electric driving system in an EV consists of power electronic components supplied by high voltage battery source. They are both source and victim of potential electromagnetic interference (EMI) since fast switching process occurs inside them. Electromagnetic shielding provides a significant protection against EMI for any electrical and electronic components inside the vehicle. In this paper, analysis of shielding effectiveness (SE) by optimizing aperture dimensions of a rectangular enclosure is investigated. Realistic dimensions of the shielding enclosure of an inverter component are employed. An optimization methodology based on genetic algorithm (GA) is carried out and applied to an SE analytical model. It is aimed to keep the total aperture area as large as possible inside a particular dimension range while improving SE of the enclosure compared with the reference level. Obtained optimization results are presented by indicating optimum aperture length and width which satisfy both EMC and dimension requirements. Finally, it is concluded that through the optimization methodology designed in this study, the SE of the enclosure is raised from a poor level to an average one while providing larger aperture area.

Description

Keywords

Electric vehicle, Inverter, Shielding effectiveness, Genetic algorithm, Science & technology, Technology, Computer science, artificial intelligence, Engineering, electrical & electronic, Computer science, Engineering

Citation

2

Views

17

Downloads

Search on Google Scholar