Uberizing the Charging Ecosystem for Electric Vehicles

Aakash Krishna, Ajay Narayanan, Sunil Krishnakumar, Prasant Misra, Arunchandar Vasan, Venkatesh Sarangan, Anand Sivasubramaniam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publicatione-Energy 2020 - Proceedings of the 11th ACM International Conference on Future Energy Systems
PublisherAssociation for Computing Machinery, Inc
Pages156-160
Number of pages5
ISBN (Electronic)9781450380096
DOIs
StatePublished - Jun 12 2020
Event11th ACM International Conference on Future Energy Systems, e-Energy 2020 - Virtual, Australia
Duration: Jun 22 2020Jun 26 2020

Publication series

Namee-Energy 2020 - Proceedings of the 11th ACM International Conference on Future Energy Systems

Conference

Conference11th ACM International Conference on Future Energy Systems, e-Energy 2020
Country/TerritoryAustralia
CityVirtual
Period6/22/206/26/20

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Energy Engineering and Power Technology

Fingerprint

Dive into the research topics of 'Uberizing the Charging Ecosystem for Electric Vehicles'. Together they form a unique fingerprint.

Cite this