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Modeling and $eta $ - $alpha $ -Pareto Optimization of Inductive Power Transfer Coils for Electric Vehicles

机译:建模和 $ eta $ - $ alpha $ -电动汽车感应功率传递线圈的帕累托优化

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This paper details the optimization of inductive power transfer (IPT) coil systems with respect to efficiency and area-related power density as required in electric vehicle applications. Based on analytical calculations and finite-element models, which are discussed and experimentally verified in detail, generally valid design guidelines for high-power IPT systems are derived, and the --Pareto optimization of a scaled 5kW prototype system is presented. Experiments demonstrate a dc-to-dc conversion efficiency of more than 96.5% at a power density of 1.47kW/dm with coils of 210mm diameter/52mm air gap, including the losses in the resonant capacitors and the power converter. Field measurements validate the predicted stray field with a calculation error of less than 10%.
机译:本文详细介绍了感应功率传输(IPT)线圈系统的优化,涉及电动汽车应用中要求的效率和与面积相关的功率密度。基于详细讨论和实验验证的分析计算和有限元模型,得出了大功率IPT系统的一般有效设计指南,并提出了规模化5kW原型系统的--Pareto优化。实验表明,功率密度为1.47kW / dm且线圈直径为210mm /气隙为52mm时,DC / DC转换效率高达96.5%,其中包括谐振电容器和功率转换器中的损耗。现场测量验证了预测的杂散场,其计算误差小于10%。

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