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非接触式供电列车松耦合变压器的仿真研究

1522    2020-09-17

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作者:裴春兴, 李娜, 王远霏

作者单位:中车唐山机车车辆有限公司技术研究中心,河北 唐山 063035


关键词:非接触;列车供电;电磁模型;等效参数


摘要:

针对非接触式供电列车松耦合变压器原副边耦合系数低的问题,研究不同的线圈类型、导磁材料等对其自身电感、互感、耦合系数等参数的影响。采用有限元仿真工具分析非接触供电系统松耦合变压器参数,分别搭建副边线圈矩形结构和8字形结构的模型、副边线圈位置有横向和纵向偏移的模型、不同磁导率的模型以及具有屏蔽层的模型,通过仿真计算得到松耦合变压器的具体参数。仿真结果表明:8字形的线圈耦合系数更高;收发线圈相对位置越偏离中心,其负载功率与耦合系数越低;收发线圈的间隙和偏移量对系统性能的影响近乎线性叠加;导磁材料磁导率的提升对系统的能量传输效率有一定程度的提升,但是并不能无限制提升;屏蔽层的引入会降低耦合性能。


Simulation study on loose coupling transformer of non-contact power supply train
PEI Chunxing, LI Na, WANG Yuanfei
Technology Research Center, CRRC Tangshan Co., Ltd., Tangshan 063035, China
Abstract: According to the low coupling coefficient of the loose-coupling transformer, the influence of different coil arrangement, magnetic material on the inductance, mutual inductance and coupling coefficient was studied. Using the finite element simulation tool to analysis the parameters of the loosely coupled transformer. Respectively, the rectangular coil model, the 8 structure model, the different horizontal and vertical position model, the different magnetic permeability model, as well as the coil with shield model has been built, the concrete parameters of the loosely coupled transformer is obtained by the simulation. The result of the simulation shows that the coil coupling coefficient of figure 8 is higher. The more off-center the relative position of the transceiver coil is, the lower its load power and coupling coefficient are. The effect of clearance and offset on system performance is almost linear superposition. The improvement of the permeability of the magnetic material can improve the energy transmission efficiency of the system to a certain extent, but it cannot be improved indefinitely. The introduction of a shielding layer can degrade coupling performance.
Keywords: non-contact;train power supply;electromagnetic model;equivalent parameters
2020, 46(8):74-81  收稿日期: 2019-11-27;收到修改稿日期: 2020-03-23
基金项目: 国家重点研发计划资助项目(2017YFB1201002)
作者简介: 裴春兴(1982-),男,河北唐山市人,高级工程师,研究方向为轨道交通车辆前瞻、共性等新技术,以及车辆关键系统故障智能诊断、健康管理及寿命评估
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