优步化电动汽车充电生态系统

A. Krishna, A. Narayanan, S. Krishnakumar, P. Misra, Arunchandar Vasan, V. Sarangan, A. Sivasubramaniam
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引用次数: 3

摘要

在许多大城市,由于城市空间的缺乏,多单元住宅(MURB)比单户独立住宅变得越来越普遍。城市居民(在欧洲约占42%)是电动汽车(EV)的潜在用户,但缺乏供电动汽车充电的私人车库。他们需要完全依赖公共充电,目前只有5%的电动汽车使用公共充电。随着电动汽车变得越来越普遍,缺乏广泛的公共充电可能会在特定的城市社区造成短期的供需不匹配,并阻碍电动汽车采用的长期增长。我们认为,私人车库充电器的优步化可以缓解这一问题,这些充电器在白天通常没有得到充分利用。在这项工作中,我们研究了充电服务提供商如何在使用基于需求响应的定价模型的情况下将公共充电需求与私人供应商相匹配。我们通过增强卢森堡SUMO交通场景(LuST)模拟器,以卢森堡市的真实交通模式为基础进行研究。具体而言,以特斯拉Model-S为例,利用具有充放电动态的状态机对电动汽车的充电需求进行建模。我们的初步结果表明,提议的优步化策略有可能优雅地应对需求高峰,为收费服务提供商带来更高的收入,即使在处理不同类别的服务用户时也是如此。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Uberizing the Charging Ecosystem for Electric Vehicles
In many metropolitan cities, multi-unit residential buildings (MURB) are becoming more common than single-family independent homes due to lack of urban space. MURB residents (around 42% in Europe) are potential adopters of electric vehicles (EV), but lack a private garage for EV charging. They need to exclusively rely on public charging, which currently serves only 5% of EVs. As EVs become more prevalent, the lack of extensive public charging can create a short-term demand-supply mismatch in specific city neighbourhoods, as well as preclude long-term growth in EV adoption. We believe that uberization of private garage chargers that are typically under-utilized during day-time can alleviate this problem. In this work, we examine how a charging service provider can match public charging demand with private suppliers while using a demand-response based pricing model. We base our study on real-world traffic patterns for the city of Luxembourg by augmenting the Luxembourg SUMO traffic scenario (LuST) simulator. Specifically, an EV's charging demand is modeled by a state machine with charge/discharge dynamics based on Tesla Model-S. Our preliminary results suggest that the proposed uberization strategy has the potential to gracefully handle demand spikes with higher revenue yield for a charging service provider, even while handling different categories of service users.
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