A Cutting-Edge Deer Hunting Optimized Converter Control (DHOCC) Based Dynamic Wireless IPT System for EV Charging Applications

IF 2.1 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
N. Sivakumar;S. Charles Raja;Chelladurai Balasundar;M. Geethanjali
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引用次数: 0

Abstract

Coil alignment plays a vital role in wireless charging systems which affects the transmission power and resonance coupling efficiency in electric vehicle (EV) charging. Also, the cutting-edge controlling model is used to improve the converter operations in the wireless inductive power transfer (IPT) system for EV charging. This work proposes a deer hunting optimized converter control (DHOCC) algorithm for buck dc–dc converter to effectively step down the desired voltage and reduce the system complexity such as misalignments and air gap. The coil’s misalignment and air gaps are changed through the buck dc–dc converter output. This algorithm aligns the coil by changing the ranges of misalignment and air gap to improve coupling efficiency. The EV is placed on its surface to charge the battery. The proposed work is designed in the MATLAB/Simulink platform and the experimental setup validation has been carried out through the laboratory test setup. The simulation output shows the high effective coupling between two coils for an 8 cm air gap with 89.7% power transfer efficiency (PTE) and the experimental output shows an 8 cm air gap with 84.77% of PTE. The obtained result demonstrates the performance of the DHOCC based on a wireless IPT system under less complexity.
基于猎鹿优化转换器控制(DHOCC)的电动汽车充电动态无线IPT系统
线圈对准在无线充电系统中起着至关重要的作用,影响着电动汽车充电的传输功率和谐振耦合效率。此外,该控制模型还用于改善电动汽车充电无线感应功率传输(IPT)系统中的变换器运行。本文提出了一种针对降压dc-dc变换器的猎鹿优化变换器控制(DHOCC)算法,以有效降低期望电压,降低系统的复杂性,如失调和气隙。通过降压dc-dc变换器输出改变线圈的不对中和气隙。该算法通过改变线圈的不对中范围和气隙对线圈进行对中,提高了耦合效率。电动汽车被放置在其表面以给电池充电。所提出的工作在MATLAB/Simulink平台上进行了设计,并通过实验室测试装置对实验装置进行了验证。仿真结果表明,在8 cm气隙下,两线圈之间的有效耦合功率传输效率为89.7%,实验结果表明,在8 cm气隙下,两线圈之间的有效耦合功率传输效率为84.77%,验证了基于无线IPT系统的DHOCC在低复杂度下的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
3.70
自引率
0.00%
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