Hybrid GEO-PO Algorithm for Dual-Input Wireless Power Transfer and Photovoltaic-Fed DC-DC Converter in Electric Vehicle Charging Applications

IF 1.3 4区工程技术 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Latin America Transactions Pub Date : 2025-09-03 DOI:10.1109/TLA.2025.11150632

Ganesh Babu Mattaparthi;Srinivasa Rao Nayak P

{"title":"Hybrid GEO-PO Algorithm for Dual-Input Wireless Power Transfer and Photovoltaic-Fed DC-DC Converter in Electric Vehicle Charging Applications","authors":"Ganesh Babu Mattaparthi;Srinivasa Rao Nayak P","doi":"10.1109/TLA.2025.11150632","DOIUrl":null,"url":null,"abstract":"The increasing demand for efficient and sustainable electric vehicle (EV) charging solutions has driven the development of advanced multi-input charger systems. This paper introduces a closed-loop EV charger powered by dual energy inputs, i.e., wireless power transfer (WPT) and photovoltaic (PV) sources. The dual-input charger integrates these energy sources to ensure stable and efficient constant voltage battery charging. The output voltage is continuously compared with the required EV battery charging voltage and regulated using a proportional-integral (PI) controller. To address the nonlinear and dynamic characteristics of the input sources, a novel Hybrid GEO-PO optimization algorithm, which combines the strengths of the Golden Eagle Optimizer (GEO) and the Puma Optimizer (PO), is proposed to determine the optimal PI controller parameters. MATLAB/Simulink simulations and experimental validation demonstrate that the Hybrid GEO-PO algorithm outperforms its parent algorithms in regulating EV battery charging voltage. The hybrid algorithm achieves faster response times, lower overshoot, and enhanced robustness compared to the standalone GEO and PO algorithms. Additionally, the successful implementation of the system using an FPGA controller highlights its practicality and suitability for real-world applications. This study establishes the Hybrid GEO-PO algorithm as a superior and promising approach for optimizing dual-input EV chargers, paving the way for next-generation intelligent charging infrastructure.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 10","pages":"888-900"},"PeriodicalIF":1.3000,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11150632","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Latin America Transactions","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/11150632/","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}

引用次数: 0

Abstract

The increasing demand for efficient and sustainable electric vehicle (EV) charging solutions has driven the development of advanced multi-input charger systems. This paper introduces a closed-loop EV charger powered by dual energy inputs, i.e., wireless power transfer (WPT) and photovoltaic (PV) sources. The dual-input charger integrates these energy sources to ensure stable and efficient constant voltage battery charging. The output voltage is continuously compared with the required EV battery charging voltage and regulated using a proportional-integral (PI) controller. To address the nonlinear and dynamic characteristics of the input sources, a novel Hybrid GEO-PO optimization algorithm, which combines the strengths of the Golden Eagle Optimizer (GEO) and the Puma Optimizer (PO), is proposed to determine the optimal PI controller parameters. MATLAB/Simulink simulations and experimental validation demonstrate that the Hybrid GEO-PO algorithm outperforms its parent algorithms in regulating EV battery charging voltage. The hybrid algorithm achieves faster response times, lower overshoot, and enhanced robustness compared to the standalone GEO and PO algorithms. Additionally, the successful implementation of the system using an FPGA controller highlights its practicality and suitability for real-world applications. This study establishes the Hybrid GEO-PO algorithm as a superior and promising approach for optimizing dual-input EV chargers, paving the way for next-generation intelligent charging infrastructure.

查看原文本刊更多论文

电动汽车充电中双输入无线电力传输和光伏-馈电DC-DC转换器的混合GEO-PO算法

对高效、可持续的电动汽车充电解决方案的需求日益增长，推动了先进的多输入充电系统的发展。本文介绍了一种采用无线电源和光伏电源双能量输入供电的闭环电动汽车充电器。双输入充电器集成了这些能量源，确保电池稳定高效的恒压充电。输出电压与所需的电动汽车电池充电电压连续比较，并使用比例积分（PI）控制器进行调节。针对输入源的非线性和动态特性，结合金鹰优化器（GEO）和美洲狮优化器（PO）的优点，提出了一种新的混合GEO-PO优化算法来确定最优PI控制器参数。MATLAB/Simulink仿真和实验验证表明，混合GEO-PO算法在调节电动汽车电池充电电压方面优于其母算法。与单独的GEO和PO算法相比，混合算法实现了更快的响应时间，更低的超调，并且增强了鲁棒性。此外，该系统在FPGA控制器上的成功实现突出了其在实际应用中的实用性和适用性。本研究确定了混合GEO-PO算法是优化双输入电动汽车充电器的一种优越且有前途的方法，为下一代智能充电基础设施铺平了道路。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

IEEE Latin America Transactions COMPUTER SCIENCE, INFORMATION SYSTEMS-ENGINEERING, ELECTRICAL & ELECTRONIC

CiteScore

3.50

自引率

7.70%

发文量

192

审稿时长

3-8 weeks

期刊介绍： IEEE Latin America Transactions (IEEE LATAM) is an interdisciplinary journal focused on the dissemination of original and quality research papers / review articles in Spanish and Portuguese of emerging topics in three main areas: Computing, Electric Energy and Electronics. Some of the sub-areas of the journal are, but not limited to: Automatic control, communications, instrumentation, artificial intelligence, power and industrial electronics, fault diagnosis and detection, transportation electrification, internet of things, electrical machines, circuits and systems, biomedicine and biomedical / haptic applications, secure communications, robotics, sensors and actuators, computer networks, smart grids, among others.