The Perspective of Electric Network Load by Electric Car Charging Stations

Author(s):  
Lukas Hubka ◽  
Jiri Kubin ◽  
Petr Skolnik ◽  
Pavel Vedel
2020 ◽  
Vol 170 ◽  
pp. 03001 ◽  
Author(s):  
A. Hamroun ◽  
K. Labadi ◽  
M. Lazri

Car sharing systems emerged as a new answer to mobility challenges in smart and sustainable cities. Despite their apparent success, design and exploitation of such systems raise crucial strategic and operational challenges. To help planners and decision makers, simulation, analysis and optimization models are unavoidable. Based on the formal modelling and analysis power of stochastic Petri nets, this paper proposes a discrete event simulation model for electric car sharing systems for performance and analysis purposes, taking into account their complex dynamic behaviour, organization and parameters including capacities of the stations, battery and energy availability, locations of charging stations and also their car maintenance activities, not negligible compared to the case of bike-sharing systems.


Author(s):  
Andrii Maliienko

Modern requirements of transport communication require the use of more environmentally friendly transport, and electric transport requires a more thorough analysis of the locations of its service points, including charging stations for electric vehicles. In this paper, it is proposed to use the theory and methods of multiple coverage of sets for modeling and solving problems of optimal placement of charging stations of electric vehicles with simultaneous determination of their service areas, taking into account the possibility of overlap.


2020 ◽  
Vol 54 (5) ◽  
pp. 1408-1438
Author(s):  
Georg Brandstätter ◽  
Markus Leitner ◽  
Ivana Ljubić

Electric vehicles are prime candidates for use within urban car sharing systems, both from economic and environmental perspectives. However, their relatively short range necessitates frequent and rather time-consuming recharging throughout the day. Thus, charging stations must be built throughout the system’s operational area where cars can be charged between uses. In this work, we introduce and study an optimization problem that models the task of finding optimal locations and sizes for charging stations, using the number of expected trips that can be accepted (or their resulting revenue) as a gauge of quality. Integer linear programming formulations and construction heuristics are introduced, and the resulting algorithms are tested on grid-graph-based instances, as well as on real-world instances from Vienna. The results of our computational study show that the best-performing exact algorithm solves most of the benchmark instances to optimality and usually provides small optimality gaps for the remaining ones, whereas our heuristics provide high-quality solutions very quickly. Our algorithms also provide better solutions than a sequential approach that considers strategic and operational decisions separately. A cross-validation study analyzes the algorithms’ performance in cases where demand is uncertain and shows the advantage of combining individual solutions into a single consensus solution, and a simulation study investigates their behavior in car sharing systems that provide their customers with more flexibility regarding vehicle selection.


Author(s):  
František Synák ◽  
Matej Kučera ◽  
Tomáš Skrúcaný

Electric car does not supply all the electric energy, obtained from the electric network, to the wheels in the form of mechanical energy. During such a transformation, a part of this energy is lost. The article endeavours to determine the energy efficiency of selected electric car. The electric car used for measurements is not from the batch production since that is a vehicle designed at University of Zilina. The efficiency has been observed while driving under the conditions of amended methodology of New European Driving Cycle (NEDC). The measured value of electric car's efficiency is being analyzed from the energy consumption, as well as emission production, points of view.


2021 ◽  
Vol 145 (1) ◽  
pp. 50-66

In the context of this research, two aspects, namely coverage and linear availability, have been examined for the possibility of quick charging of battery-powered electric vehicles in Hungary, focusing on national connectivity. It has been shown that the density of quick chargers is uneven; that is, they are present in the inner cities at a higher rate than along motorways for long-distance transport. The study carried out comparative analyses based on two previously published concepts (E.ON–MOL and BME KKT) and a dedicated methodology (ELTE KTF) using the potential charging sites outlined therein. Modelling has shown that the electric car charging possibilities available along the highways are limited. The investigation suggests that the strategic objective should not be to establish a charging network for national connectivity, since only 5%of the charging stations are currently located in the immediate vicinity of motorways and only half of which are quick chargers.


Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6120
Author(s):  
Wael Alosaimi ◽  
Md Tarique Jamal Ansari ◽  
Abdullah Alharbi ◽  
Hashem Alyami ◽  
Saquib Ali ◽  
...  

Considering rising pollution as well as fuel expenses, it has now become critical to transition to a sustainable method of transportation. As a result, automakers have begun to spend on research and development in the electric vehicle (EV) industry. The amount of EVs has expanded rapidly in recent years. This is owing to new improved technology, particularly in electric motor engineering, as well as government initiatives to limit the level of environmental impact produced by combustion engines. Because EVs are powered by electricity, implementing their charging stations presents certain complications. In this paper, we have discussed the different types of EVs, such as BEVs, FCEVs, HEVs, PHEVs, and REHEVs. Even though the capacity of many of these electric car models has been substantially enhanced within the past few years, some challenges remain as a selection barrier for several customers. Considering these challenges, we have also implemented a fuzzy AHP-TOPSIS-based unified model to evaluate the different types of EVs. The study’s technical importance is the identification of various evaluation factors, implementation of a unified model for measuring performance, and computation using the fuzzy MCDM technique. The outcomes of the unified model approach also were validated. We concluded that FCEVs are excellent for long journeys, and have the resources to cause minimal disruption.


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