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基于LCC-S补偿的电动汽车动态无线充电系统拓扑参数优化 被引量:10

Parameters Optimization of Electric Vehicles Dynamic Wireless Power Transfer System Based on LCC-S Compensation Topology
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摘要 针对电动汽车动态无线充电过程中耦合系数会随着车辆横向位置偏移而发生随机变化,进而导致系统输出功率和效率降低的问题,提出一种基于加权平均效率的LCC-S拓扑结构参数优化设计方法。根据车辆行驶过程中横向偏移的统计特性,提出基于正态分布3σ原则的效率权重分配方法。该方法综合考虑了高、中、低三种不同耦合水平下的系统效率优化,使优化后的拓扑参数能够更好地适应动态无线充电系统实际工作特点,提高系统在不同偏移情况下的综合效率。采用优化参数搭建动态无线充电试验系统,并将提出的方法与TWAE(Time-weightedaverageefficiency)方法进行对比分析,仿真和试验结果验证了该方法的有效性。 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.
作者 田勇 朱泽 田劲东 向利娟 TIAN Yong;ZHU Ze;TIAN Jindong;XIANG Lijuan(College of Physics and Optoelectronic Engineering,Shenzhen University,Shenzhen 518060;School of Mechanical Engineering,Beijing Institute of Technology,Beijing 100081)
出处 《机械工程学报》 EI CAS CSCD 北大核心 2021年第14期150-159,共10页 Journal of Mechanical Engineering
基金 国家自然科学基金(61803268) 广东省自然科学基金(2017A030310011) 深圳市基础研究(JCYJ20170412110241478) 广东省重点领域研发计划(2020B0404030004)资助项目。
关键词 动态无线充电 参数优化 LCC-S型补偿拓扑 加权平均效率 电动汽车 dynamic wireless power transfer parameters optimization LCC-S compensation topology weighted average efficiency electric vehicles
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