In recent years, electric vehicles (EVs) receive intensive attention due to their environment-friendly nature and outstanding energy efficiency. However, there are still obstacles in EVs' popularity. Battery related issues are most concerned from users' perspective. While the evolution in battery technology may help to address the aforementioned problems eventually, other solutions are in urgent demand for the time being. In this paper, we propose an innovative charge scheduling method that could significantly improve EV users' charging experience with the nowadays battery technology. Specifically, the proposed method takes into account the characteristics of the batteries to be charged as well as the constraints of the external power grid; thus, a plan can be devised for efficiently allocating the power of the charging station to the EVs through cyber-physical system. Our method prioritizes jobs based on their marginal utilities to maximize user satisfaction with limited power resource. The power allocation in our method is managed globally and constrained by specific rules to avoid waste or overload in the power grid. Lastly, we simulate several power scheduling methods in charging stations, which validates that the user satisfaction under our method is higher than that of other traditional method.

中文翻译：

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基于电池特性的面向充电站的电动汽车充电策略

近年来，电动汽车（EV）因其环保特性和出色的能源效率而受到广泛关注。然而，电动汽车的普及仍然存在障碍。电池相关问题是用户最关心的问题。虽然电池技术的发展最终可能有助于解决上述问题，但目前迫切需要其他解决方案。在本文中，我们提出了一种创新的充电调度方法，可以利用当今的电池技术显着改善电动汽车用户的充电体验。具体而言，该方法考虑了待充电电池的特性以及外部电网的约束；因此，可以设计一个计划，通过信息物理系统将充电站的电力有效地分配给电动汽车。我们的方法根据工作的边际效用对工作进行优先级排序，以最大限度地提高用户对有限电力资源的满意度。我们方法中的功率分配是全局管理的，并受特定规则的约束，以避免电网浪费或过载。最后，我们模拟了充电站中的几种电力调度方法，验证了我们方法下的用户满意度高于其他传统方法。