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The electric vehicle routing problem with nonlinear charging function

机译:具有非线性充电功能的电动汽车路径问题

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摘要

Electric vehicle routing problems (E-VRPs) extend classical routing problems to consider the limited driving range of electric vehicles. In general, this limitation is overcome by introducing planned detours to battery charging stations. Most existing E-VRP models assume that the battery-charge level is a linear function of the charging time, but in reality the function is nonlinear. In this paper we extend current E-VRP models to consider nonlinear charging functions. We propose a hybrid metaheuristic that combines simple components from the literature and components specifically designed for this problem. To assess the importance of nonlinear charging functions, we present a computational study comparing our assumptions with those commonly made in the literature. Our results suggest that neglecting nonlinear charging may lead to infeasible or overly expensive solutions. Furthermore, to test our hybrid metaheuristic we propose a new 120-instance testbed. The results show that our method performs well on these instances.
机译:电动汽车路线问题(E-VRP)扩展了经典路线问题,以考虑电动汽车有限的行驶范围。通常,通过将计划的弯路引入电池充电站来克服此限制。现有的大多数E-VRP模型都假设电池电量是充电时间的线性函数,但实际上该函数是非线性的。在本文中,我们扩展了当前的E-VRP模型,以考虑非线性充电功能。我们提出了一种混合元启发法,该方法结合了文献中的简单组件和专门为此问题设计的组件。为了评估非线性充电函数的重要性,我们提出了一项计算研究,将我们的假设与文献中的那些假设进行了比较。我们的结果表明,忽略非线性充电可能会导致不可行或过高的解决方案。此外,为了测试我们的混合元启发式方法,我们提出了一个新的120实例测试台。结果表明,我们的方法在这些实例上表现良好。

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