Multi-objective optimization of parameters for magnetically coupled resonant wireless energy transmission systems

被引：2
|
作者：
Wen, Chunming [1 ,2 ]
Chen, Minbo [1 ,3 ]
Xu, Qing [1 ,3 ]
He, Qiuli [4 ]
Wu, Jiarong [1 ,3 ]
Zhao, Xiaohui [1 ,3 ]
Liang, Yuanxiong [5 ]
Liang, Kairong [6 ]
机构：
[1] Guangxi Univ Nationalities, Educ Dept Guangxi Zhuang Autonomous Reg, Key Lab Intelligent Unmanned Syst & Intelligent Eq, Nanning 530006, Peoples R China
[2] Guangxi Univ Nationalities, Guangxi Key Lab Hybrid Computat & IC Design Anal, Nanning 530006, Peoples R China
[3] Guangxi Univ Nationalities, Coll Elect Informat, Nanning 530006, Peoples R China
[4] Guangxi Univ, Sch Elect Engn, Nanning 530006, Peoples R China
[5] Guangxi Lanchuang New Energy Automot Equipment Co, Liuzhou 545000, Peoples R China
[6] Liuzhou Wuling Automobile Ind Co Ltd, Liuzhou 545000, Peoples R China
来源：
AIP ADVANCES | 2023年 / 13卷 / 02期
基金：
中国国家自然科学基金;
关键词：
DESIGN;
D O I：
10.1063/5.0131124
中图分类号：
TB3 [工程材料学];
学科分类号：
0805 ; 080502 ;
摘要：
To improve the transmission efficiency and output power of a magnetically coupled resonant wireless energy transmission system, this paper proposes a multi-objective optimization method based on the analytical expression and the improved NSGA-II algorithm. First, the analytical expressions of the electrical and performance parameters in the magnetically coupled resonant mechanism are derived. On this basis, the mathematical model of the multi-objective optimization of the magnetically coupled mechanism is established, with the size, many turns, and wire diameter of the transmitting and receiving coils in the magnetically coupled mechanism as design variables; the resonant frequency of the system, the distance between the coils, and the load size as constraints; and the transmission efficiency and transmission power as optimization objectives. Then the mathematical model is solved by the improved NSGA-II algorithm to obtain the Pareto optimal solution. Finally, the physical system is built to verify the correctness of the simulation experiment and the reliability of the experiment. This study is instructive for optimizing the transmission efficiency and output power of a magnetically coupled resonant wireless energy transmission system.
引用
收藏
页数：15
相关论文
共 50 条
  • [31] MULTI-OBJECTIVE OPTIMIZATION PROBLEM WITH BOUNDED PARAMETERS
    Bhurjee, Ajay Kumar
    Panda, Geetanjali
    RAIRO-OPERATIONS RESEARCH, 2014, 48 (04) : 545 - 558
  • [32] Multi-Objective Optimization of Wireless Information and Power Transfer in Multiuser OFDMA Systems
    Chou, Hsin-Jui
    Chang, Ronald Y.
    Wu, Jen-Ming
    2015 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2015,
  • [33] Multi-Objective optimization method for bus splitting problem in energy transmission system
    Dogan, Erdi
    PAMUKKALE UNIVERSITY JOURNAL OF ENGINEERING SCIENCES-PAMUKKALE UNIVERSITESI MUHENDISLIK BILIMLERI DERGISI, 2023, 29 (01): : 10 - 22
  • [34] Methods for multi-objective investment and operating optimization of complex energy systems
    Fazlollahi, Samira
    Mandel, Pierre
    Becker, Gwenaelle
    Marechal, Francois
    ENERGY, 2012, 45 (01) : 12 - 22
  • [35] Multi-objective optimization and comparison framework for the design of Distributed Energy Systems
    Karmellos, M.
    Mavrotas, G.
    ENERGY CONVERSION AND MANAGEMENT, 2019, 180 : 473 - 495
  • [36] Multi-objective optimization of integrated energy systems based on demand response
    Zhou, Jun
    Li, Shuaishuai
    Meng, Tian
    Liu, ShiTao
    Liang, Guangchuan
    ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS, 2023, 45 (01) : 1204 - 1225
  • [37] Multi-objective Optimization of Hydrogen Production in Hybrid Renewable Energy Systems
    Seyam, Shaimaa
    Al-Hamed, Khaled H. M.
    Qureshy, Ali M. M. I.
    Dincer, Ibrahim
    Agelin-Chaab, Martin
    Rahnamayan, Shahryar
    2019 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2019, : 850 - 857
  • [38] Multi-objective optimization of absorption refrigeration systems involving renewable energy
    Santibanez-Aguilar, Jose Ezequiel
    Gonzalez-Campos, J. Betzabe
    Ponce-Ortega, Jose Maria
    Serna-Gonzalez, Medardo
    El-Halwagi, Mahmoud M.
    22 EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, 2012, 30 : 282 - 286
  • [39] Multi-Objective Optimization of Renewable Energy-Driven Desalination Systems
    Onishi, Viviani C.
    Ruiz-Femenia, Ruben
    Salcedo-Diaz, Raquel
    Carrero-Parreno, Alba
    Reyes-Labarta, Juan A.
    Caballero, Jose A.
    27TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PT A, 2017, 40A : 499 - 504
  • [40] Multi-objective optimization of energy systems for pollution mitigation in Kavaratti Island
    Asliraf, Imtiaz
    Rahman, Md. Amanur
    Iqbal, Atif
    Chandra, A.
    PROCEEDINGS OF THE 41ST INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE, VOLS 1 AND 2, 2006, : 60 - +
12345