The Effect on Logistics Pure Electric Vehicle Performance of Transmission Application Based on Simulation Analysis

2018 International Computers, Signals and Systems Conference (ICOMSSC) Pub Date : 2018-09-01 DOI:10.1109/icomssc45026.2018.8941780

Xiaoxu Wei, Yong Chen

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Abstract

To study the effect on logistics pure electric vehicle (PEV) performance caused by transmission application, a non-transmission logistics PEV is selected as the target vehicle with a two-gear transmission into its powertrain. After adopting the transmission, parameters of the components in powertrain need to be reached according to the design specification of the target vehicle. Based on the results from the reference matching calculation, a mathematical optimization model for the powertrain system in the two-gear logistics PEV is established, and the optimized variables of the optimization model are obtained by the annealing genetic algorithm (SAGA). Finally, the simulation analysis software Cruise is used to build a simulation model for the two-gear logistics PEV, and the performance of the two-gear logistics PEV has been compared and analyzed with the target vehicle, including dynamic task and specific operating condition task. Simulation results show that the application of transmission can reduce the requirements of logistics PEVs for driving motor and power battery, which is beneficial to prolong the drive range and reduce the energy consumption of vehicle.

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基于仿真分析的变速器应用对物流纯电动汽车性能的影响

为了研究变速器对物流纯电动汽车(PEV)性能的影响，选择一款无变速器的物流纯电动汽车作为目标车辆，动力系统采用两挡变速器。采用变速器后，动力总成中各部件的参数需要根据目标车辆的设计规范来确定。在参考匹配计算结果的基础上，建立了两档物流PEV动力总成系统的数学优化模型，并利用退火遗传算法(SAGA)获得了优化模型的优化变量。最后，利用仿真分析软件Cruise建立了两档物流PEV的仿真模型，并将两档物流PEV的性能与目标车辆进行了对比分析，包括动态任务和特定工况任务。仿真结果表明，采用变速器可以降低物流pev对驱动电机和动力电池的要求，有利于延长行驶里程，降低车辆能耗。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2018 International Computers, Signals and Systems Conference (ICOMSSC)

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