Location Privacy for Vehicle-to-Grid Interaction through Battery Management

Mark Stegelmann, D. Kesdogan
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引用次数: 19

Abstract

Vehicle-to-grid research explores the possibility of centrally coordinating the charging behaviour of electric-drive vehicles and of employing such vehicles as a distributed grid resource. As such, they could be used both to improve the power grid's reliability and to store excess renewable energy. The information observable by the central coordination instance, however, can be a threat to the privacy of vehicle owners. In this work, we investigate when the observed information allows for vehicles to be distinguished and traced between stops and when not so that vehicles will mix with each other. Specifically, we analyse the role of battery information and reveal how it can influence vehicle mixing. Furthermore, we consider information minimisation, suppression, and generalisation and discuss their effects both on vehicle mixing and on service functionality. Lastly, we show that parking lots and garages naturally provide the conditions necessary for vehicle mixing and give an evaluation of mixing for this context.
通过电池管理实现车辆与电网交互的位置隐私
车辆到电网的研究探索了集中协调电动汽车充电行为的可能性,并将此类车辆用作分布式电网资源。因此,它们既可以用来提高电网的可靠性,也可以用来储存多余的可再生能源。然而,中央协调实例可观察到的信息可能对车主的隐私构成威胁。在这项工作中,我们研究了观察到的信息何时允许车辆在停站之间进行区分和跟踪,何时不允许车辆相互混合。具体来说,我们分析了电池信息的作用,并揭示了它如何影响车辆混合。此外,我们考虑了信息最小化、抑制和泛化,并讨论了它们对车辆混合和服务功能的影响。最后,我们证明了停车场和车库自然地为车辆混合提供了必要的条件,并对这种情况下的混合进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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