Design and Experimental Validation of Wireless Electric Vehicle Charger Control Using Genetic Algorithms and Feedforward Artificial Neural Network

被引:0
作者
El Ancary, Marouane [1 ]
Lassioui, Abdellah [1 ]
El Fadil, Hassan [1 ]
El Asri, Yassine [1 ]
Hasni, Anwar [1 ]
Nady, Soukaina [1 ]
机构
[1] Ibn Tofail Univ, Natl Sch Appl Sci ENSA, Ingenierie Syst Avances ISA Lab, Kenitra 14000, Morocco
来源
ENG | 2025年 / 6卷 / 03期
关键词
genetic algorithms; feedforward ANN; electric vehicles; battery charging; wireless power transfer; SYSTEM;
D O I
10.3390/eng6030043
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Integrating electric vehicles (EVs) into the transportation ecosystem is crucial for environmental protection. With the increasing demand for sustainable mobility solutions, wireless power transfer (WPT) systems present a promising method to facilitate the adoption of EVs while reducing carbon footprints. This paper presents a control strategy for the primary side of a WPT charger utilizing a genetic algorithm (GA) combined with a feedforward artificial neural network (ANN). The aim is to optimize charging in constant current (CC) mode and enhance energy transmission efficiency. The proposed approach employs a GA to control the WPT charger, enabling real-time adaptation of charging parameters. The ANN estimates the system's efficiency, ensuring optimal performance during the charging process. The developed control strategy significantly improved energy transfer efficiency and system stability. Simulation results demonstrate the effectiveness of this new approach, achieving an efficiency of 89.32% in challenging situations of loss of communication with the vehicle. To validate the design procedure, an experimental prototype was constructed, operating at an operational frequency of 85 kHz. Experimental results confirm the proposed design methodology.
引用
收藏
页数:24
相关论文
共 46 条
  • [1] Observer-Based Control of Inductive Wireless Power Transfer System Using Genetic Algorithm
    Abdelrahim, Mahmoud
    Almakhles, Dhafer
    [J]. PROCESSES, 2023, 11 (06)
  • [2] Electrifying the Road to Net-Zero: Implications of Electric Vehicles and Carbon Emission Coefficient Factors in European Power Systems
    Ali, Qais
    Di Silvestre, Maria Luisa
    Lombardi, Pio Alessandro
    Sanseverino, Eleonora Riva
    Zizzo, Gaetano
    [J]. SUSTAINABILITY, 2024, 16 (12)
  • [3] [Anonymous], 2024, J2954 (WIP) Wireless Power Transfer for Light and Medium Duty Vehicles-SAE International
  • [4] A Systematic Methodology for Optimal Design of Wireless Power Transfer System Using Genetic Algorithm
    Bagheri, Anahita
    Erfanian, Abbas
    Abrishamifar, Adib
    [J]. ENERGIES, 2020, 13 (02)
  • [5] Analysis, Design and Realization of a Wireless Power Transfer Charger for Electric Vehicles: Theoretical Approach and Experimental Results
    Bentalhik, Issam
    Lassioui, Abdellah
    El Fadil, Hassan
    Bouanou, Tasnime
    Rachid, Aziz
    El Idrissi, Zakariae
    Hamed, Ahmed Mohamed
    [J]. WORLD ELECTRIC VEHICLE JOURNAL, 2022, 13 (07):
  • [6] A Deep Learning Approach to Improve the Control of Dynamic Wireless Power Transfer Systems
    Bertoluzzo, Manuele
    Di Barba, Paolo
    Forzan, Michele
    Mognaschi, Maria Evelina
    Sieni, Elisabetta
    [J]. ENERGIES, 2023, 16 (23)
  • [7] Design of a Bidirectional Wireless Power Transfer System for Vehicle-to-Home Applications
    Bertoluzzo, Manuele
    Giacomuzzi, Stefano
    Kumar, Abhay
    [J]. VEHICLES, 2021, 3 (03): : 406 - 425
  • [8] Transport Sector Emissions and Environmental Sustainability: Empirical Evidence from GCC Economies
    Binsuwadan, Jawaher
    [J]. SUSTAINABILITY, 2024, 16 (23)
  • [9] Assessment of Mortality Attributable to Air Pollution in the Urban Area of Pisa (Central Italy) Characterized by Multi-Source Exposures
    Bustaffa, Elisa
    Redini, Marco
    Minichilli, Fabrizio
    [J]. ATMOSPHERE, 2024, 15 (11)
  • [10] Primary Control Method of Wireless Charging System Based on Load Characteristics
    Chen, Guodong
    Rao, Chao
    Sun, Yue
    Chen, Zhenxin
    Tang, Chunsen
    Zhang, Zhenpeng
    [J]. ENERGIES, 2019, 12 (07)