Identification of Metal Object Types by High and Low Frequencies Detection for Wireless EV Charger

被引:1
作者
Zhao, Shuze [1 ]
Xia, Chenyang [1 ]
Lu, Chenhao [1 ]
Yang, Ziyue [1 ]
Sun, Anran [1 ]
机构
[1] China Univ Min & Technol, Sch Elect Engn, Xuzhou 221116, Peoples R China
基金
中国国家自然科学基金;
关键词
Metals; Coils; Inductive charging; Sensors; Sensitivity; Magnetic fields; Ferrites; Equivalent circuits; Object recognition; Integrated circuit modeling; Detection blind zone; electric vehicle (EV) wireless charging; high and low frequencies detection; identification of metal object (MO) types; POWER TRANSFER;
D O I
10.1109/TPEL.2024.3472691
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
Metal object detection (MOD) is an important part of wireless charging system for electric vehicles. To focus on the problem of detection blind zone caused by material parameters and the method of foreign object-type identification, an identification method of metal object (MO) types using high and low frequencies detection is proposed. First, the effects of electrical and magnetic permeability on the excitation magnetic field of MOD are analyzed, and a detection sensitivity model for all types of MO is constructed. Second, a detection blind spot caused by the material parameters of ferromagnetic metals is found, the detection blind spot frequency is defined and the mechanism of the blind spot is explained. Third, the identification principle of MO types by high and low frequencies is analyzed. The relationship between the sensitivity and the material parameters of ferromagnetic metals is simulated, and the blind spot detection frequency is 19 kHz when an iron of size 40 x 40 mm(2) is placed at the center of a checkerboard grid. Finally, an experimental platform for MO-type identification by high and low frequency detection is built, and it successfully identifies ferromagnetic metals, nonferromagnetic metals and ferrites.
引用
收藏
页码:2581 / 2592
页数:12
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