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Modeling of Electrical Vehicle for State of Charge evaluation in smart mobility scenario

机译:智能行动情景中电力汽车电力汽车建模

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The impact of electrical vehicles spread on electricity networks and on mobility from a general point of view, is one of the most topical questions during these years. The key point is to predict autonomies in order to understand what will be the new requirements. This means to tie driver's driving habits and styles, with the actual driving cycles, in order to assess the behavior of the battery and its autonomy. The starting point is to have a vehicle model that can provide an accurate battery charge status, coupled with a realistic simulation of the path. The model presented in this work, starts from well known model in literature and focuses on modeling the variable electric powertrain transfer function, i.e. the efficiency map. To do this an approach based on yield maps is proposed and integrated with the driving cycles synthesized.
机译:电气车辆对电网和一般性观点的影响,是几年中最局部问题之一。关键点是预测自主,以了解什么是新要求。这意味着将驾驶员的驾驶习惯和风格系在实际的驾驶周期,以评估电池的行为及其自主权。起点是具有可以提供精确的电池充电状态的车辆模型,与路径的真实模拟相结合。在这项工作中呈现的模型从文献中的众所周知的模型开始,专注于建模可变电动动力传递函数,即效率图。为此,提出了一种基于产量图的方法,并与合成的驱动循环结合在一起。

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