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A management system for electric vehicles to optimize the allocation of charging processes on motorways

Ritter, Dorothee and Wesemeyer, Daniel and Ruppe, Sten (2021) A management system for electric vehicles to optimize the allocation of charging processes on motorways. International Journal of Energy Production and Management, 6 (2). WIT Press. doi: 10.2495/EQ-V6-N2-181-192. ISSN 2056-3272.

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Official URL: https://www.witpress.com/elibrary/eq-volumes/6/2/2794

Abstract

In the coming years the number of electric vehicles (EVs) is going to increase, while the charging network might not be adequately expanded at the required time. It is very likely that there will be feedback effects within the power grid in form of capacity bottlenecks. This might result in reduced charging power for a higher number of electric vehicles in order to counteract fluctuations. In this paper, the authors describe a management system for electric vehicles that optimizes the allocation of charging processes on motorways. The designed system aims to optimize travel and charging times while reducing waiting times for electric vehicles in intercity transport. By considering respective charging capacities, it may be able to reduce feedback effects with the energy system. The management system uses data from the charging stations, electric vehicles and their planned route. This allows the system to forward relevant information regarding expected energy demand to the power grid. Consequently, vehicles periodically communicate their position, battery level and their remaining way to destination to the management system, which returns charging advice for the optimal charging station. By using an optimization algorithm, the scarce resource of the charging stations is efficiently allocated to the vehicles. In order to examine its efficiency, a model of the management system with reduced features is transferred into a simulation. The simulation study follows an academic approach and takes different penetration rates of electric vehicles into account. A heuristic approach led to a solution with reasonable complexity, i.e. polynomial running time. In comparison, an analytical solution was outlined which describes the optimal case. This simulation study shows that the proposed system manages the waiting times efficiently by smartly assigning the vehicles to the corresponding charging stations.

Item URL in elib:https://elib.dlr.de/143331/
Document Type:Article
Title:A management system for electric vehicles to optimize the allocation of charging processes on motorways
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Ritter, Dorotheedorothee.ritter (at) dlr.deUNSPECIFIED
Wesemeyer, DanielDaniel.Wesemeyer (at) dlr.deUNSPECIFIED
Ruppe, StenSten.Ruppe (at) DLR.deUNSPECIFIED
Date:9 August 2021
Journal or Publication Title:International Journal of Energy Production and Management
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:No
Volume:6
DOI :10.2495/EQ-V6-N2-181-192
Editors:
EditorsEmailEditor's ORCID iD
WITpress, WITpresswitpress@witpress.comUNSPECIFIED
Publisher:WIT Press
Series Name:Energy Production and Management
ISSN:2056-3272
Status:Published
Keywords:Electric vehicles, Charging stations, Allocation, Motorway, Management System
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Transport System
DLR - Research area:Transport
DLR - Program:V VS - Verkehrssystem
DLR - Research theme (Project):V - Energie und Verkehr
Location: Berlin-Adlershof , Braunschweig
Institutes and Institutions:Institute of Transportation Systems > Cooperative Systems, BA
Institute of Transportation Systems > Cooperative Systems, BS
Deposited By: Ritter, Dorothee
Deposited On:18 Aug 2021 12:12
Last Modified:20 Aug 2021 09:19

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