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Optimization method for drive train topology design and control of electric vehicles

机译:电动汽车动力总成拓扑设计与控制的优化方法

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The present paper deals with an optimization problem of pure electric vehicles' power trains. The energy consumption is strongly influenced by the size of the components of the vehicle and is highly dependent on the chosen topology. Therefore a method defining possible topologies of the drive train in advance of the optimization is presented in this paper. The chosen reasonable topologies are optimized with respect to the energy efficiency and the additional needed copper for the electrical machines and lithium for the energy storages using a Genetic Algorithm. The method, the chosen optimization algorithm and the results are presented and discussed within this paper.
机译:本文研究了纯电动汽车动力总成的优化问题。能量消耗受到车辆部件尺寸的强烈影响,并且高度依赖于所选的拓扑。因此,本文提出了一种在优化之前定义传动系统可能拓扑的方法。使用遗传算法,针对能源效率以及电机所需的额外铜和能量存储所需的锂,对选定的合理拓扑进行了优化。本文介绍并讨论了该方法,选择的优化算法和结果。

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