Parameters Optimization of Electric Vehicles Dynamic Wireless Power Transfer System Based on LCC-S Compensation Topology

被引：0
|
作者：
Tian Y. [1 ,2 ]
Zhu Z. [1 ]
Tian J. [1 ]
Xiang L. [1 ]
机构：
[1] College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen
[2] School of Mechanical Engineering, Beijing Institute of Technology, Beijing
来源：
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering | 2021年 / 57卷 / 14期
关键词：
Dynamic wireless power transfer; Electric vehicles; LCC-S compensation topology; Parameters optimization; Weighted average efficiency;
D O I：
10.3901/JME.2021.14.150
中图分类号：
学科分类号：
摘要：
An optimal design procedure for LCC-S (series) compensation network based on weighted average efficiency is proposed aiming at the problem that the coupling coefficient of the electric vehicles (EVs) dynamic wireless power transfer (DWPT) system will change randomly with the lateral misalignment of the vehicles, which will cause the decrease in system output power and efficiency. Based on the statistic characteristics of vehicle lateral misalignment in motion, a weight distribution method referring to the normal distribution principle is proposed. This method considers the system efficiency under the conditions of high, medium and low coupling to achieve high efficiency, so that the optimized topology parameters can well adapt to the actual working characteristics of DWPT systems. A prototype is implemented based on the optimized parameters. Simulation and experimental results indicate that the proposed method can improve the system output power and efficiency compared with the TWAE (Time-weighted average efficiency) method. © 2021 Journal of Mechanical Engineering.
引用
收藏
页码：150 / 159
页数：9
相关论文
共 24 条
  • [11] HUI S Y R., Technical and safety challenges in emerging trends of near-field wireless power transfer industrial guidelines, IEEE Electromagnetic Compatibility Magazine, 7, 1, pp. 78-86, (2018)
  • [12] MOTOKI S, GAKU Y, DAISUKE G, Et al., Development of wireless in-wheel motor using magnetic resonance coupling, IEEE Transactions on Power Electronics, 31, 7, pp. 5270-5278, (2016)
  • [13] GUO Yanjie, WANG Lifang, LI Shufan, Et al., Dynamic modeling and characteristic analysis on dynamic wireless charging system of electric vehicle, Automation of Electric Power Systems, 41, 2, pp. 73-78, (2017)
  • [14] ZHANG Xian, WANG Jie, YANG Qingxin, Et al., The power coupling mechanism and switching control for dynamic wireless power supply system of electric vehicle, Transactions of China Electrotechnical Society, 34, 15, pp. 3093-3101, (2019)
  • [15] YAO Zhiyang, XIAO Jing, GAO Like, Et al., Electric vehicles during guide rail switching process, Automation of Electric Power Systems, 43, 21, pp. 155-162, (2019)
  • [16] OREKAN T, ZHANG Peng, SHIH C., Analysis, design, and maximum power-efficiency tracking for undersea wireless power transfer, IEEE Journal of Emerging and Selected Topics in Power Electronics, 6, 2, pp. 843-854, (2018)
  • [17] KAN Tianze, MAI Ruikun, PATRICK P, Et al., Design and analysis of a three-phase wireless charging system for light weight autonomous underwater vehicles, IEEE Transactions on Power Electronics, 33, 8, pp. 6622-6632, (2018)
  • [18] FANG Zhijian, CAI Tao, DUAN Shanxu, Et al., Optimal design methodology for LLC resonant converter in battery charging applications based on time-weighted average efficiency, IEEE Transactions on Power Electronics, 30, 10, pp. 5469-5483, (2015)
  • [19] ALI R, SHAHROKH F., Optimized LCC-series compensated resonant network for stationary wireless EV chargers, IEEE Transactions on Industrial Electronics, 66, 4, pp. 2756-2765, (2019)
  • [20] GUO Yugang, CUI Naxin, Research on optimal configuration and characteristics based on LCC-S ype wireless power transfer system, Transactions of China Electrotechnical Society, 34, 18, pp. 3723-3730, (2019)
123