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Modelling and optimisation of pure electric vehicle powertrains: a comparison of single and two speed transmissions

机译:纯电动汽车动力总成的建模和优化:单速和两种变速箱的比较

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The purpose of this paper is to investigate the integrated design and selection of transmission and electric machine for the development of multi-speed electric vehicle (EV) powertrains. Multi-variable optimisation, in the form of genetic algorithms, is applied to the systems design of single and two speed EVs powertrains. Simulation-in-the-loop-based optimisation for the determination of primary motor, transmission and driveline design variables is conducted through the application of alternative driving cycle scenarios. The results for two speed optimisation demonstrate the capability to meet vehicle performance demands at a reduced motor size without increasing losses in the motor. Whilst, comparison of result for both single and two speed powertrains has demonstrated that the two speed provides a more consistent average cycle loss across alternative driving cycles, and improved low speed acceleration. Additionally, the impact of driving cycle selection is demonstrated to strongly influence outcomes of the optimisation procedure.
机译:本文的目的是研究用于开发多速电动汽车(EV)动力总成的变速器和电机的集成设计和选择。遗传算法形式的多变量优化被应用于单速和两速电动汽车动力总成的系统设计。通过应用其他驾驶循环方案,可以进行基于回路的仿真优化,以确定主电动机,变速器和传动系统的设计变量。两次速度优化的结果证明了在减小电机尺寸的情况下能够满足车辆性能要求的能力,而不会增加电机的损耗。同时,单速和两种速度动力总成的结果比较表明,两种速度在替代行驶循环中提供了更一致的平均循环损失,并改善了低速加速。另外,证明了驾驶循环选择的影响强烈影响了优化程序的结果。

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