Abstract In this paper, we study the charging and relocating problem for an electrical vehicle car-sharing (EVCS) system, aiming to dynamically match the user request, electrical load and vehicle supply at the lowest total cost of charging and lost sales. The scheduling problem is first formulated as a stochastic sequential decision program. To solve the strategy for an EVCS system with multiple city regions, we deploy the distributional event-based dynamic optimization approach that can coordinate the serving, charging and relocating decisions of shared electrical vehicles (SEV). To maximize the daily income of system, a gradient-based strategy iterative algorithm is applied to solve the scheduling problem. Finally, a computational experiment is performed, and the results show that the proposed optimization framework is applicable to the EVCS system scheduling problem by its efficiency as well as the capability to handle the fluctuating user requests and electrical load.

中文翻译：

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电动汽车共享的充电迁移优化：一种基于事件的策略改进方法

摘要 在本文中，我们研究了电动汽车共享汽车 (EVCS) 系统的充电和迁移问题，旨在以最低的总充电成本和销售损失动态匹配用户请求、电力负载和车辆供应。调度问题首先被表述为一个随机顺序决策程序。为了解决具有多个城市区域的 EVCS 系统的策略，我们部署了基于分布式事件的动态优化方法，可以协调共享电动汽车 (SEV) 的服务、充电和搬迁决策。为了最大化系统的日收益，采用基于梯度的策略迭代算法解决调度问题。最后，进行了计算实验，