OPTIMIZATION MODELS FOR ELECTROMOBILITY IN FREIGHT TRANSPORT

1 HUSINEC Michal
Co-authors:
1 ŠUBRT Tomáš 1 FEJFAR Jiří
Institution:
1 Czech University of Life Sciences in Prague, Department of Systems Engineering, Kamýcká 129, Prague, Czech Republic, e-mail: husinecm@pef.czu.cz
Conference:
CLC 2018 - Carpathian Logistics Congress, Wellness Hotel Step, Prague, Czech Republic, EU, December 3 - 5, 2018
Proceedings:
Proceedings CLC 2018 - Carpathian Logistics Congress
Pages:
236-242
ISBN:
978-80-87294-88-8
ISSN:
2694-9318
Published:
18th April 2019
Proceedings of the conference were published in Web of Science.
Metrics:
408 views / 217 downloads
Abstract

Our contribution is focused on the problem of the use of electric vehicles in freight transport. The area of potential use of electric cars is affected by a high level of uncertainty in terms of efficiency and operating costs. The analysed problems are related to the limited charging station infrastructure and the planning of driving performance with respect to the capacity of the batteries and the total time spent on the route. Current charging stations for passenger cars cannot be used in case of freight transport, so there is a need to create an overall infrastructure for such type of electric vehicles. The subject of the article is the application of a multi-criteria analysis method ANP and PROMETHEE method for the purpose of locating charging stations, in terms of availability of energy network sources and efficiency of use during charging. Our paper presents some optimization mathematical methods in connection with the application for the purpose of charging station definition, charging station location, etc. The main effect of the application of mathematical models is the efficient use of resources and the mitigation of environmental impacts in the field of construction of new charging stations and their location within existing logistic and production parks.

Keywords: Multiple attribute decision making, charging stations, electric vehicle, freight transport, analytic network process, PROMETHEE

© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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