by admin

Design and Evaluation of Charging Station Scheduling Strategies for Electric Vehicles

January 21, 2014 in Journals, Publications, TUB, year 3 by admin

Julian Timpner and Lars C. Wolf

IEEE Transactions on Intelligent Transportation Systems (Journal)

Electric vehicles (EVs) still have relatively long and frequent charging cycles. Moreover, charging resources are typically limited and must therefore be used efficiently. The V-Charge project has the vision to provide a solution by combining autonomous valet parking with e-mobility, introducing improved parking and charging comfort. V-Charge proposes a solution for charging autonomous EVs in parking places and efficiently using scarce charging resources, thus simplifying the life of the customer and increasing the feasibility of EVs. For the management of parking lots and charging resources, V-Charge provides a server back end and a communication infrastructure. In this paper, we present our design of scheduling concepts for a coordinated charging strategy that is implemented by this back end. Through intensive simulations, we show that the V-Charge server is able to efficiently handle realistic parking volume and performs well in fulfilling customer requirements, e.g., energy demand for the next driving tasks. Moreover, we evaluate the suitability of various scheduling strategies in different usage scenarios. For the simulation setup, real-world parking statistics obtained from Hamburg Airport and the City of Braunschweig, Germany, are used.


@article{Timpner:TITS:2013,
author = {Timpner, Julian and Wolf, Lars},
doi = {10.1109/TITS.2013.2283805},
journal = {IEEE Transactions on Intelligent Transportation Systems},
publisher = {IEEE},
title = {{Design and Evaluation of Charging Station Scheduling Strategies for Electric Vehicles}},
year = {2013},
month=nov,
volume=PP,
number=99,
issn={1524-9050},
URL={http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6651804},
}

by admin

Estimation of Vehicular Connectivity in Autonomous Parking Scenarios

January 21, 2014 in Journals, Publications, TUB, year 3 by admin

Tobias Pögel, Julian Timpner, Stephan Rottmann and Lars C. Wolf

PIK – Praxis der Informationsverarbeitung und Kommunikation (Journal)

In this paper different parking scenarios for autonomous vehicles are considered. For control and monitoring purposes reliable Wi–Fi-based communication between the vehicles and a back-end is needed. It must be ensured that potential QoS requirements of different applications are met and that vehicles do not hit so-called “white spots” without any network connectivity. The network properties are represented and estimated by a Connectivity Map. For this purpose, network and measurement data are continuously collected so that other vehicles can be provided with the newly gained knowledge, which allows the planning of the proposed scenarios. This paper shows potential QoS requirements and discusses the necessary steps for the realization of such a Connectivity Map.
In addition to the automated continuous collection of relevant network parameters as a byproduct of vehicular communications, the mapping of the scenarios in terms of floor plans with additional meta-information as well as the representation of connectivity properties are shown.
We outline our vision for using the developed Connectivity Map for advanced parking management decisions.


@ARTICLE{Poegel:PIK:2013,
AUTHOR={Tobias {P{\"o}gel} and Julian Timpner and Stephan Rottmann and Lars C Wolf},
TITLE="Estimation of Vehicular Connectivity in Autonomous Parking Scenarios",
JOURNAL="PIK - Praxis der Informationsverarbeitung und Kommunikation",
PAGES={243-248},
VOLUME=36,
NUMBER=4,
DAYS=1,
MONTH=dec,
YEAR=2013,
URL={http://www.degruyter.com/view/j/piko-2013-36-issue-4/pik-2013-0026/pik-2013-0026.xml},
}