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Power sources sizing for hybrid vehicles based on a stochastic modeling of driving missions

机译:基于驾驶任务随机模型的混合动力汽车电源尺寸

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In the wake of growing concerns over petroleum supplies and air pollution, hybrid electric vehicles are being developed as safe alternatives to conventional engine vehicles. While the representativeness of standard driving cycles may be questioned, the vehicle electrification brings up new design issues in terms of power rating for energy savings purposes. The present paper aims at proposing a methodological approach for assessing a suitable power rating of the requisite energy sources for the vehicle propelling. Based on a Markov matrix formulation, a vehicle mission modeling technique is proposed, stochastic mission profiles are generated and the dominant one is identified. Then a sizing algorithm is implemented in order to minimize the fuel consumption on that most constraining mission. The application on several kinds of vehicle mission natures will then be proposed and discussed so as to show their impact on the traction chain sizing.
机译:随着对石油供应和空气污染的日益关注,混合动力电动汽车正在被开发为常规发动机汽车的安全替代品。尽管可能会质疑标准驾驶循环的代表性,但出于节约能源的目的,车辆电气化在功率额定值方面提出了新的设计问题。本文旨在提出一种方法学方法,以评估用于车辆推进的必要能源的合适额定功率。基于马尔可夫矩阵公式,提出了一种车辆任务建模技术,生成了随机任务轮廓,并确定了主导任务。然后,实施尺寸调整算法,以最大程度地减少该最大约束任务的燃油消耗。然后将提出并讨论在几种车辆任务性质上的应用,以显示它们对牵引链尺寸的影响。

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