混合动力汽车能量管理控制器随机优化驱动循环生成

V. Schwarzer, R. Ghorbani, R. Rocheleau
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引用次数: 23

摘要

本文提出了一种基于概率驱动曲线的驱动循环生成方法。该方法可用于混合动力汽车能量管理控制器(EMC)的随机优化。它可以针对概率驾驶组合进行优化设计,例如车辆操作员的个人驾驶特征、位置、交通状况、地形和环境。因此,可以实现个人驾驶员的最大燃油效率。所介绍的方法在驱动循环生成工具中实现。该方法使用燃料电池驱动的并联混合动力汽车模型进行了验证。仿真结果证明了该方法相对于传统方法的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Drive cycle generation for stochastic optimization of energy management controller for hybrid vehicles
A methodology to generate drive cycles based on probabilistic driving profiles is presented in this paper. The described approach can be utilized for the stochastic optimization of an energy management controller (EMC) for hybrid electric vehicles (HEVs). It enables for an optimal design towards a probabilistic driving portfolio such as individual driving characteristics of the vehicle operator, location, traffic conditions, topography and environment. Hence, maximum fuel efficiency for the individual driver can be achieved. The introduced method is implemented in a drive cycle generation tool. The approach is validated using a model of a parallel HEV powered by fuel cells. Simulation results are presented and the advantage of the proposed method over conventional approaches is proven.
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