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
  • [21] Optimization of renewable hybrid energy systems - A multi-objective approach
    Eriksson, E. L. V.
    Gray, E. MacA.
    RENEWABLE ENERGY, 2019, 133 : 971 - 999
  • [22] Multi-objective optimization of district energy systems with demand response
    Capone, Martina
    Guelpa, Elisa
    Verda, Vittorio
    ENERGY, 2021, 227
  • [23] Design method of characteristic parameters of automatic transmission based on multi-objective optimization
    Gong, Chen
    Ding, Huafeng
    Ke, Tao
    Deng, Bihai
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2025,
  • [24] Multi-objective ant lion optimization for parameter optimization of wireless power transfer systems
    Wen, Chunming
    Li, Jianheng
    Hou, Bingxu
    Liao, Yikui
    Fan, Yaqiong
    Guo, Huanyu
    Wu, Jiarong
    Zhao, Xiaohui
    Liang, Yuanxiong
    Liang, Kairong
    AIP ADVANCES, 2023, 13 (11)
  • [25] Multi-objective optimization of SOFC systems
    Wu, Xiaojuan
    He, Ling
    Gao, Danhui
    Zhu, Yuanyuan
    2019 9TH INTERNATIONAL CONFERENCE ON FUTURE ENVIRONMENT AND ENERGY, 2019, 257
  • [26] Influence of transmission distance on magnetically coupled resonant radio energy transmission system
    Tong Jun
    Yang Xingchen
    Li Facheng
    Li Xiang
    2019 THE 5TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING, CONTROL AND ROBOTICS (EECR 2019), 2019, 533
  • [27] Playing in the objective space: Coupled approximators for multi-objective optimization
    Soh, Harold
    Soon, Ong Yew
    Salahuddin, Mohamed
    Hung, Terence
    Sung, Lee Bu
    2007 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN MULTI-CRITERIA DECISION MAKING, 2007, : 325 - +
  • [28] A multi-objective optimization model for the operation of decentralized multi-energy systems
    Adihou, Yolaine
    Mabrouk, Mohamed Tahar
    Haurant, Pierrick
    Lacarriere, Bruno
    CLIMATE RESILIENT CITIES - ENERGY EFFICIENCY & RENEWABLES IN THE DIGITAL ERA (CISBAT 2019), 2019, 1343
  • [29] Multi-Objective Deployment Optimization of UAVs for Energy-Efficient Wireless Coverage
    Zhu, Xiumin
    Zhai, Linbo
    Li, Nianxin
    Li, Yumei
    Yang, Feng
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2024, 72 (06) : 3587 - 3601
  • [30] Multi-objective scheduling and optimization for smart energy systems with energy hubs and microgrids
    Wang, Yanliang
    Wang, Bo
    Farjam, Hashem
    ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH, 2024, 51
12345