Component design procedure for LCC-S wireless power transfer systems based on genetic algorithms and sensitivity analysis

被引:1
|
作者
Corti, Fabio [1 ]
Intravaia, Matteo [1 ]
Reatti, Alberto [1 ]
Grasso, Francesco [1 ]
Grasso, Emanuele [2 ]
Cabrera, Alicia Trivino [3 ]
机构
[1] Univ Florence, DINFO, Florence, Italy
[2] Univ Saarland, Lehrstuhl Antriebstech, Saarbrucken, Saarland, Germany
[3] Univ Malaga, Dept Elect Engn, Malaga, Spain
关键词
DC-DC power convertors; power convertors; CONVERTERS;
D O I
10.1049/pel2.12648
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper introduces a novel approach for designing a Wireless Power Transfer (WPT) system with LCC-S compensation. Since WPT systems operate under resonant conditions, even small deviations of the components from the nominal values can result in a significant reduction of the power transferred to the load, and in an increment of the circulating currents, reducing the system efficiency. The design techniques available today in the literature provide a unique combination of passive components capable of transferring a certain power to the load. This is a limitation, because, in practice, there are several combinations that allow reaching the desired output power, but they are usually neglected because they are extremely difficult to compute analytically. For this reason, in this paper, the authors present an innovative design procedure that enables, through a Genetic Algorithm, the identification of multiple feasible combinations of the LCC-S components capable of achieving the desired output power. Moreover, the authors evaluate the effects of the component tolerances on the output power to determine which combinations are more robust to component variations. This task is performed by calculating the probability that a particular combination yields the desired output power, once the tolerances have been considered, following a Monte Carlo approach. This information is utilized to decide whether it is possible to reduce the component quality (worsening the tolerance) without affecting the performance. Finally, an optimal solution granting both low-cost and robustness against component tolerances can be individuated. The proposed design procedure is applied to a case study and validated experimentally. This paper introduces an innovative design procedure using genetic algorithms to identify various feasible combinations of components for an LCC-S wireless power transfer system (WPT). The procedure addresses the challenge of achieving desired performance in WPT systems due to small deviations in component values, which can result in reduced power transfer and decreased converter efficiency. The proposed method evaluates component tolerances and identifies optimal combinations from the generated set, considering the probability of achieving the desired output power. The effectiveness of the design procedure is demonstrated through a case study and experimental evaluation. image
引用
收藏
页码:906 / 918
页数:13
相关论文
共 50 条
  • [41] Genetic Algorithm based UAV Trajectory Design in Wireless Power Transfer Systems
    Yang, Tianyu
    Hu, Yulin
    Yuan, Xiaopeng
    Mathar, Rudolf
    2019 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2019,
  • [42] An Improved Pulse Density Modulation Control for Secondary Side Controlled Wireless Power Transfer System Using LCC-S Compensation
    Yenil, Veli
    Cetin, Sevilay
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2022, 69 (12) : 12762 - 12772
  • [43] Design of Digital PID Control Systems Based on Sensitivity Analysis and Genetic Algorithms
    Perng, Jau-Woei
    Hsieh, Shan-Chang
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2019, 17 (07) : 1838 - 1846
  • [44] Design of robust PI control systems based on sensitivity analysis and genetic algorithms
    Perng, Jau-Woei
    Hsieh, Shan-Chang
    Ma, Li-Shan
    Chen, Guan-Yan
    NEURAL COMPUTING & APPLICATIONS, 2018, 29 (04): : 913 - 923
  • [45] Design of Digital PID Control Systems Based on Sensitivity Analysis and Genetic Algorithms
    Jau-Woei Perng
    Shan-Chang Hsieh
    International Journal of Control, Automation and Systems, 2019, 17 : 1838 - 1846
  • [46] Design of robust PI control systems based on sensitivity analysis and genetic algorithms
    Jau-Woei Perng
    Shan-Chang Hsieh
    Li-Shan Ma
    Guan-Yan Chen
    Neural Computing and Applications, 2018, 29 : 913 - 923
  • [47] Optimization and Design Sensitivity of SISO and MISO Wireless Power Transfer Systems
    Lang, Hans-Dieter
    Ludwig, Alon
    Sarris, Costas D.
    2015 IEEE INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION & USNC/URSI NATIONAL RADIO SCIENCE MEETING, 2015, : 406 - 407
  • [48] Modelling and analysis of the distortion of strongly-coupled wireless power transfer systems with SS and LCC-LCC compensations
    Zhang, Yiming
    Yan, Zhengchao
    Kan, Tianze
    Liu, Yanding
    Mi, Chunting Chris
    IET POWER ELECTRONICS, 2019, 12 (06) : 1321 - 1328
  • [49] Power Control Strategy for Wireless Electric Vehicles Charging System Based on LCC-S Compensation Topology; [基于LCC-S拓扑的电动汽车无线充电系统控制策略]
    Wei X.
    Wu Z.
    Xiong M.
    Tongji Daxue Xuebao/Journal of Tongji University, 2019, 47 : 133 - 140
  • [50] Analysis of output characteristics of wireless power transfer system based on LCC/S-S hybrid compensation structure
    Wang, Dangshu
    Deng, Xuan
    Guan, Zhimin
    Liu, Shulin
    Yang, Yaqiang
    Wang, Xinxia
    CIRCUIT WORLD, 2024, 50 (01) : 172 - 183