Digital Library on Green Mobility

prewiew

An Interoperable Reservation System for Public Electric Vehicle Charging Stations: A Case Study in Germany

Publication Year: 2019

Author(s): Basmadjian R, Kirpes B, Mrkos J, Cuchý M, Rastegar S

Abstract:

The number of electric vehicles on the roads increases, so as modern innovations and ideas such as fast/super-fast charging and dynamic pricing are developed and implemented respectively. With those advancements on the rise, reservation of charging stations for electric vehicles will play a vital role in seamlessly integrating them into the transportation and mobility system. In this paper the authors derive basic requirements for building interoperable reservation systems and identify four generic approaches to reservation. For designing the system model and engineering the charging station reservation system, the authors utilize the E-Mobility Systems Architecture framework. For one of the reservation types, they implement a proof-of-concept and demonstrate its usefulness by conducting a showcase in Bavaria, Germany. Further, they set up and conduct a simulation-based evaluation to compare the four different reservation types regarding their benefit to users and providers as well as overall system efficiency. The results presented in this paper provide insights regarding the feasibility of the different reservation types under varying conditions. 

Source of Publication: TESCA 2019 - Proceedings of the 2019 1st ACM International Workshop on Technology Enablers and Innovative Applications for Smart Cities and Communities, co-located with the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities

Vol/Issue: 22-29p.

DOI No.: 10.1145/3364544.3364825

Country: Germany

Publisher/Organisation: Association for Computing Machinery, Inc

Rights: Association for Computing Machinery, Inc

URL:
https://dl.acm.org/doi/10.1145/3364544.3364825

Theme: Charging Infrastructure | Subtheme: Captive charging

Related Documents

Research Papers/Articles

Abstract:

This work investigated several ways to forecast with the available charging rate data from the... Read More

Research Papers/Articles

Abstract:

As part of the collaborative project “Cities in Charge”, Fraunhofer Institute for... Read More