scholarly journals MATHEMATICAL MODELS OF PROBLEMS OF OPTIMAL PLACEMENT OF ELECTRIC CAR CHARGING STATIONS AND DETERMINATION OF THEIR SERVICE AREAS

2021 ◽  
pp. 253-256
Author(s):  
Andrii Maliienko
Keyword(s):  
Mathematical Models ◽  
Simultaneous Determination ◽  
Electric Vehicles ◽  
Optimal Placement ◽  
Electric Transport ◽  
Electric Car ◽  
Service Areas ◽  
Multiple Coverage ◽  
Charging Stations

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.

scholarly journals On the Issue of Regulatory Support for Passenger Electric Vehicles Operation

2020 ◽  
Vol 18 (1) ◽  
pp. 196-211
Author(s):  
M. A. Kudryashov ◽  
A. V. Prokopenkov ◽  
R. S. Ayriev
Keyword(s):  
Electric Vehicles ◽  
Environmentally Friendly ◽  
Economic Assessment ◽  
Intermediate Stage ◽  
Transport Infrastructure ◽  
Rolling Stock ◽  
Electric Transport ◽  
Electric Bus ◽  
Environmental Goals ◽  
Charging Stations

The article provides the results of an intermediate stage of research on development of a project to create infrastructure for operation of highly environmentally friendly electric vehicles. The transition to electric transport is one of the promising methods to solve the problem of emissions and achieve environmental goals. An electric bus is a relatively new type of rolling stock, requiring a balanced and objective justification for selection of certain possible options for technical, technological, economic and other aspects of organisation of its operation. To achieve the goal of developing a project to create infrastructure for operation of environmentally friendly electric vehicles, an initial analysis of legal acts, technical characteristics of electric buses and the parking and on route infrastructure approaches to organizing transportation by electric buses with various charging concepts was performed. The analysis of the concepts of charging electric bus batteries allowed to divide them into 5 classes and group into 3 groups according to charging speed. An analysis of the required infrastructure for operation of electric buses showed that conceptually there are 2 types of charging stations. The calculations and evaluation of various options for organizing operation of electric buses on a fixed route with various concepts of charging were performed. A necessary direction for further research is economic assessment of operation of electric buses with various charging concepts and the necessary transport infrastructure. The methods used include analysis, evaluation of previously performed analytical studies, legal acts and a synthesis of domestic and foreign experience.

scholarly journals Deploying Electric Vehicle Charging Stations Considering Time Cost and Existing Infrastructure

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2436 ◽  
Author(s):  
Yuan Qiao ◽  
Kaisheng Huang ◽  
Johannes Jeub ◽  
Jianan Qian ◽  
Yizhou Song
Keyword(s):  
Electric Vehicles ◽  
Optimization Algorithm ◽  
Central Area ◽  
Time Cost ◽  
Battery Electric Vehicles ◽  
Electric Vehicle Charging ◽  
Service Areas ◽  
Harsh Criticism ◽  
The Right ◽  
Charging Stations

Under the challenge of climate change, fuel-based vehicles have been receiving increasingly harsh criticism. To promote the use of battery electric vehicles (BEVs) as an alternative, many researchers have studied the deployment of BEVs. This paper proposes a new method to choose locations for new BEV charging stations considering drivers’ perceived time cost and the existing infrastructure. We construct probability equations to estimate drivers’ demanding time for charging (and waiting to charge), use the Voronoi diagram to separate the study area (i.e., Shanghai) into service areas, and apply an optimization algorithm to deploy the charging stations in the right locations. The results show that (1) the probability of charging at public charging stations is 39.6%, indicating BEV drivers prefer to charge at home; (2) Shanghai’s central area and two airports have the busiest charging stations, but drivers’ time costs are relatively low; and (3) our optimization algorithm successfully located two new charging stations surrounding the central area, matching with our expectations. This study provides a time-efficient way to decide where to build new charging stations to improve the existing infrastructure.

The Evaluation of Opportunities for the Development of Access for Charging Electric Vehicles in the Territory of Apartment Buildings

2017 ◽  
Author(s):  
Vytautas Palevičius ◽  
Tomas Karpavičius ◽  
Mantas Kaušylas
Keyword(s):  
Electric Vehicles ◽  
Fossil Fuels ◽  
New Technologies ◽  
Developed Countries ◽  
Electric Transport ◽  
Manufacturing Companies ◽  
Electric Cars ◽  
Eu Member States ◽  
Apartment Buildings ◽  
Electric Car

The beginning of 21th century is extremely important for developed countries because of the reduction of their dependence on fossil fuels. The biggest vehicle manufacturing companies are planning to start selling at least one model of electric vehicle and it is expected that by 2025 approximately 10% of the new cars sold worldwide will be electric. In order to reach this goal, some countries are successfully executing an effective electric transport development policy: to create a publicly accessible network for charging electric vehicles, pay incentives for purchasing an electric car, create free of charge parking places and implement other encouraging measures. While analysing world trends it has been noted that the majority of electric cars owners live in private houses. This is due to the fact that people who are living in apartment buildings and planning on purchasing an electric car come across multiple issues when it comes to charging the car at their living area at night. Therefore, the aim of this article is to evaluate the opportunities of developing access points for charging electric cars around the territory of apartment buildings. To achieve this we have raised these main objectives: have the EU member states already foreseen the necessary measures ensuring comfortable charging of electric cars in the territory of apartment buildings?; have the plans for the development of charging facilities in the territory of apartment buildings already been prepared?; which new technologies will be used for the safe charging of electric cars?

scholarly journals Study of design features of mobile charging units for electric transport for development of sketch design documentation

2022 ◽  
Vol 23 (5) ◽  
pp. 100-114
Author(s):  
A. R. Safin ◽  
I. V. Ivshin ◽  
A. N. Tsvetkov ◽  
T. I. Petrov ◽  
V. R. Basenko ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Small Range ◽  
Electric Transport ◽  
Design Features ◽  
Power Sources ◽  
Charging Infrastructure ◽  
Factors Influencing ◽  
The World ◽  
Design Documentation ◽  
Charging Stations

THE PURPOSE. Charging infrastructure is one of the factors influencing the transition to electric vehicles, as the electric vehicles in operation are characterized by a small range and a long battery charge period. Today, the development of the charging infrastructure depends only on the networks of stationary charging stations, which also have disadvantages (high cost, lack of mobility, etc.). Therefore, the purpose of this work is to study the design features of mobile electric vehicle charge units (MCSEU) for the development of draft design documentation for the creation of a new MCSEU project. This issue includes the study of the world market of manufacturers of modern mobile chargers, the study of technical and operational features that are today presented to modern energy storage and storage systems.MATERIALS. The authors of the article processed and analyzed data on the current state of the charging infrastructure in Russia and the world, based on materials from Russian and foreign authors, as well as information on the development strategy of the electric transport industry in Russia and the world, in particular, data from Madison Gas and Electric.RESULTS. The obtained analytical results are one of the aspects that will be taken into account when developing mobile charging devices for electric vehicles. This mobile charger technology significantly expands the possibilities of using electric vehicles, in particular electric vehicles, and also solves various problems of the fuel and energy complex associated with autonomous power sources and distributed generation systems.CONCLUSION. The charging infrastructure is one of the factors influencing the transition to electric vehicles, as the electric vehicles in operation are characterized by a small range and a long period of charging the traction battery. However, this process will be long and in the near future networks of charging stations will be created, including mobile charging units for electric vehicles.

scholarly journals Location of Charging Stations in Electric Car Sharing Systems

2020 ◽  
Vol 54 (5) ◽  
pp. 1408-1438
Author(s):  
Georg Brandstätter ◽  
Markus Leitner ◽  
Ivana Ljubić
Keyword(s):  
Electric Vehicles ◽  
Optimization Problem ◽  
Computational Study ◽  
Exact Algorithm ◽  
Grid Graph ◽  
Car Sharing ◽  
Sequential Approach ◽  
Electric Car ◽  
Benchmark Instances ◽  
Charging Stations

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.

Hesitant fuzzy linguistic TOPSIS method for the electric vehicles’ charging stations location selection problem and an application for Istanbul

2020 ◽  
Vol 39 (5) ◽  
pp. 6391-6406
Author(s):  
Zeynep Tugce Kalender ◽  
Huseyin Selcuk Kilic ◽  
Gulfem Tuzkaya ◽  
Busra Gulnihan Dascioglu
Keyword(s):  
Decision Making ◽  
Electric Vehicles ◽  
Critical Role ◽  
Environmentally Benign ◽  
Location Selection ◽  
Vehicle Type ◽  
Decision Making Problem ◽  
Charging Stations ◽  
Fuzzy Linguistic

The prevalence of environmental studies in the academy has increased in recent years, depending on the adverse effects of global warming on natural resources. Besides various environmentally benign applications, one of the most important instruments on eliminating the negative environmental effects of an increasing population is electric vehicles. There are various topics within the concept of electric vehicles, including the determination of electric vehicle type, routing, network design, and so on. However, in this study, determining the locations of electric charging stations is the main focus. The problem is handled as a multi-criteria decision-making problem with the consideration of the uncertainties in the decision-making environment. Specifically, the judgments of decision-makers play a critical role in the success of decisions, but for a decision-maker, it is usually difficult to express his/her preferences by using only one linguistic term due to the structure of some criteria type. Hence, with the proposed methodology, in this study, criteria are firstly classified as fuzzy and crisp according to their objective or subjective characteristics. Afterwards, besides the utilization of classic techniques for crisp type criteria, probabilistic linguistic terms sets are utilized for fuzzy type criteria with an extended version of TOPSIS. The proposed methodology is used for the comparison of 39 alternative electric charging locations in Istanbul, which is one of the most crowded cities in Europe.

Sign in / Sign up

Export Citation Format

Share Document