Optimal design of high efficiency wireless charging system for electric vehicle: AHO–GBDT technique

Author:

Kalaiselvan K.1ORCID,Venkatesan M.2,Rachananjali K.3,Bhuvaneswari G.4

Affiliation:

1. Department of Electronics and Communication Engineering, Roever Engineering College, Perambalur, Tamil Nadu, India

2. Department of Electronics and Communication Engineering, Dhanalakshmi Srinivasan College of Engineering, Coimbatore, Tamil Nadu, India

3. Vignans Foundation for Science, Technology and Research, Vadlamudi, Guntur, India

4. Department of Computer Science and Engineering, Saveetha Engineering College, Tamil Nadu, India

Abstract

This paper proposed a hybrid technique that optimizes the design of wireless charging systems (WCSs) for electric vehicles (EVs). The proposed technique combines the Archerfish hunting optimizer (AHO) and the gradient boosting decision tree (GBDT) algorithms, hence named the AHO–GBDT technique. The proposed strategy's goal is to enhance the efficiency, minimize cost, and increase coupling coefficient. The AHO algorithm optimizes the design parameters of WCS for EVs. The GBDT dynamically adjusts and optimizes the hyper-parameters, fine-tuning the algorithm for optimal performance. The outcome displays that the proposed strategy can greatly enhances the wireless charging system's efficiency. The proposed strategy is done in MATLAB software and assessed for performance with different existing strategies. The AHO–GBDT algorithm outperforms particle swarm optimizer (PSO), color harmony algorithm (CHA), and owl search algorithm (OSA) in terms of efficiency, which achieves 98.5%, while compared to 97.2%, 96.8%, and 96.4%, respectively. The proposed method shows the highest efficiency, power, and coupling coefficient compared to other existing the PSO, CHA, and OSA methods.

Publisher

SAGE Publications

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3