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道路交通系统无线充电车辆的动态抗偏移典型特征识别

Typical feature recognition of dynamic anti-migration for wireless charging vehicles in road traffic systems

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针对无线充电车辆的动态特征识别和车辆分型问题,设计了基于车-路协同的混合电磁感应单元和地磁场感应单元的复合感应装置;在混合电磁感应单元中,为实现动态条件下的感应识别,提出了以谐振电流有效值为无线充电车辆特征的检测方法,并通过在电路拓扑中引入电场耦合与磁场耦合2种形式,同时加入高阶的双边电容电感补偿结构;为实现半开域耦合程度的量化分析,定义了线圈传输与极板传输的功率比参数,进而实现了偏移情况下的感应识别;以地磁传感器捕获不同车辆通过时的地磁场扰动信号为例,为改善非线性非平稳信号的提取效果,提出了地磁信号的集合经验模态分解(EEMD)法;引入曲线的特征向量提取法,以小型三厢轿车、中型两厢轿车、中型厢式货车和大型客车等4种车型作为典型试验样本,将不同车辆的地磁曲线信号转化为特征向量图谱,以实现车辆形状类型的判断.研究结果表明:混合电磁感应单元在测试条件下,沿线圈偏移方向的识别长度约为220 mm,垂直于线圈向外偏移方向的识别长度约为170 mm,其识别范围比单一的磁场耦合增大约62.8%;地磁场感应单元可实现长度为3.7~12.0 m、速度为2.78~16.67 m·s-1的车辆类型特征检测,通过地磁场感应单元与混合电磁感应单元相互配合,可有效提高无线充电车辆动态分型识别的可靠性,从而促进无线充电技术在道路交通电气化设施中的应用和发展.
In view of the dynamic feature recognition and classification problem of wireless charging vehicles,a composite induction device based on vehicle-road cooperation with a hybrid electromagnetic induction unit and a geomagnetic field induction unit was designed.In the hybrid electromagnetic induction unit,to realize the induction recognition under dynamic conditions,a detection method with the effective value of resonant current as the feature of wireless charging vehicles was put forward.Two forms of electric field coupling and magnetic field coupling were introduced into the circuit topology,alongside a high-order bilateral capacitor-inductor compensation structure.Additionally,to quantify the coupling degree in semi-open field scenarios,the power ratio parameters between coil transmission and plate transmission were defined,thus realizing the induction recognition under migration conditions.Geomagnetic field disturbance signals captured by geomagnetic sensors during different vehicles passage were taken as an example,and an ensemble empirical mode decomposition(EEMD)method for geomagnetic signals was applied to enhance the extraction effect of nonlinear and non-stationary signals.Furthermore,by introducing a feature vector extraction method for curves and taking small three-box sedans,medium two-box sedans,medium van trucks,and large carriages as typical test samples,the geomagnetic curve signals of various vehicles were transformed into feature vector spectra to determine the vehicle shape types.Research results show that under test conditions,the recognition length of the hybrid electromagnetic induction unit in the direction of coil migration is about 220 mm,the recognition length perpendicular to the direction of outward coil migration is about 170 mm,and the recognition range increases by approximately 62.8%compared to the single magnetic field coupling.Meanwhile,the geomagnetic field induction unit can detect the characteristics of vehicles with lengths ranging from 3.7 to 12.0 m and speeds ranging from 2.78 to 16.67 m·s-1.The reliability of dynamic classification and recognition for wireless charging vehicles can be effectively enhanced by the synergistic cooperation between the geomagnetic field induction unit and the hybrid electromagnetic induction unit,thus promoting the application and development of wireless charging technology in road traffic electrification facilities.2 tabs,22 figs,30 refs.

road trafficwireless charging vehicleelectromagnetic fieldgeomagnetic fieldmigrationclassification

周熙炜、石文帅、王会峰、代亮、武奇生、白叶红

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长安大学电子与控制工程学院,陕西西安 710064

道路交通 无线充电车辆 电磁场 地磁场 偏移 分型

国家重点研发计划陕西省重点研发计划

2021YFB26014012022GY-308

2024

交通运输工程学报
长安大学

交通运输工程学报

CSTPCD北大核心
影响因子:1.306
ISSN:1671-1637
年,卷(期):2024.24(4)