Optimal energy/time routing in battery-powered vehicles

Mahmoud Faraj, O. Basir
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引用次数: 16

Abstract

The limited battery capacity of Electric vehicles (EVs), and consequently limited cruising range, hinders their widespread adoption. This paper proposes a solution to the problem of optimal energy/time routing under battery constraints. A multi-criteria path-finding algorithm, A*, is proposed to function in two modes. The first is an energy mode to solve the problem of energy-optimal routing under battery constraints. This mode computes the most energy-efficient route from a source to a destination, thus extending the cruising range of the battery. The second is a travel-time mode to compute the time-optimal route under the battery constraints. The multi-criteria model aims to use the modes to strike a balance between energy consumption and travel time, so as to satisfy the user constraints and needs. This research reports simulation work conducted to test and validate the proposed model under various driving conditions.
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电池驱动车辆的最佳能量/时间路径
电动汽车(ev)的电池容量有限,因此有限的续航里程,阻碍了它们的广泛采用。针对电池约束下的最优能量/时间路由问题,提出了一种解决方案。提出了一种多准则寻路算法A*,该算法可在两种模式下工作。首先是解决电池约束下的能量最优路由问题的能量模式。该模式计算从源头到目的地的最节能路线,从而延长电池的续航里程。第二种是计算电池约束下的时间最优路径的旅行时间模式。多准则模型旨在利用模式在能耗和出行时间之间取得平衡,从而满足用户的约束和需求。本研究报告了在各种驾驶条件下进行的仿真工作,以测试和验证所提出的模型。
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