scholarly journals Smart database concept for Power Management in an electrical vehicle

Author(s):  
Chokri Mahmoudi ◽  
Flah Aymen ◽  
Sbita Lassaad

<p>As world population continues to grow and the limited amount of fossil fuels begin to diminish, it may not be possible to afford the needed amount of energy demanded by the world by only using fossil fuels. Meanwhile, the abundant nature of renewable energy sources brings new beginning for next generations. Greater penetration of electric vehicles will play an important role in building green and healthy world. The main remaining issue to make the switch from conventional to electric vehicle is performance cost; Efficient EVs that can drive for long distances, on single charge, are still expensive for ordinary consumer. To address this range problem, many attempts have been made during last decade. The goal was to conceive a power efficient electric vehicle, capable of managing its energy and reach longer distances. It depends on the electrical architectures and used algorithms.</p><p>This paper adds new perspective for power Management in EVs; The proposed methodology introduces a new power management architecture based on communication and car learning. The conventional software level in EV has been replaced with self readjustable software. EVs are connected through a database, and can upload or download adjustment parameters while software is running.</p><p>To take advantage of the new architecture, a new learning technique concept is introduced too, based on Cloud experience exchange between Electric Vehicles. This enhancement aims to build a better EV experience in power management through Cloud sharing and definitely cut with conventional architecture that may have reached its boundaries.</p>

Author(s):  
P. M. Tripathi

Electric vehicles are an important option for reducing greenhouse gas emissions. Electric vehicles not only reduce dependence on fossil fuels, but also reduce the impact of ozone-depleting substances and promote widespread adoption of renewable energies. Despite extensive research into the properties and characteristics of electric vehicles as well as the nature of their charging infrastructure, electric vehicle construction and grid modeling continue to evolve and become limited. regime. This paper presents market penetration surveys for electric vehicles, hybrid electric vehicles, plug-in hybrid electric vehicles and battery electric vehicles, and describes optimal engineering and modeling approaches. their differences. Research on critical barriers and inadequate charging equipment targets developing countries like India, which makes the study unique. The development of the new Vehicle to Grid concept has created additional energy sources when renewable energy sources are not available. We conclude that considering the specific characteristics of an electric vehicle is important in the mobility of the electric vehicle.


Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 3188 ◽  
Author(s):  
Jean-Michel Clairand ◽  
Javier Rodríguez-García ◽  
Carlos Álvarez-Bel

Inhabited islands depend primarily on fossil fuels for electricity generation and they also present frequently a vehicle fleet, which result in a significant environmental problem. To address this, several governments are investing in the integration of Renewable Energy Sources (RESs) and Electric Vehicles (EVs), but the combined integration of them creates challenges to the operation of these isolated grid systems. Thus, the aim of this paper is to propose an Electric Vehicle charging strategy considering high penetration of RES. The methodology proposes taxing CO2 emissions based on high pricing when the electricity is mostly generated by fossil fuels, and low pricing when there is a RES power excess. The Smart charging methodology for EV optimizes the total costs. Nine scenarios with different installed capacity of solar and wind power generation are evaluated and compared to cases of uncoordinated charging. The methodology was simulated in the Galapagos Islands, which is an archipelago of Ecuador, and recognized by the United Nations Educational, Scientific and Cultural Organization (UNESCO) as both aWorld Heritage site and a biosphere reserve. Simulations results demonstrate that the EV aggregator could reduce costs: 7.9% for a case of 5 MW installed capacity (wind and PV each), and 7% for a case of 10 MW installed (wind and PV each). Moreover, the use of excess of RES power for EV charging will considerably reduce CO2 emissions


Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7591
Author(s):  
Wojciech Cieslik ◽  
Filip Szwajca ◽  
Jedrzej Zawartowski ◽  
Katarzyna Pietrzak ◽  
Slawomir Rosolski ◽  
...  

The growing number of electric vehicles in recent years is observable in almost all countries. The country’s energy transition should accompany this rise in electromobility if it is currently generated from non-renewable sources. Only electric vehicles powered by renewable energy sources can be considered zero-emission. Therefore, it is essential to conduct interdisciplinary research on the feasibility of combining energy recovery/generation structures and testing the energy consumption of electric vehicles under real driving conditions. This work presents a comprehensive approach for evaluating the energy consumption of a modern public building–electric vehicle system within a specific location. The original methodology developed includes surveys that demonstrate the required mobility range to be provided to occupants of the building under consideration. In the next step, an energy balance was performed for a novel near-zero energy building equipped with a 199.8 kWp photovoltaic installation, the energy from which can be used to charge an electric vehicle. The analysis considered the variation in vehicle energy consumption by season (winter/summer), the actual charging profile of the vehicle, and the parking periods required to achieve the target range for the user.


2021 ◽  
Vol 17 (5) ◽  
pp. 913-939
Author(s):  
Tat'yana S. REMIZOVA ◽  
Dmitrii B. KOSHELEV

Subject. The article reviews various transport electrification scenarios, which would help reduce the CO2 emissions and environmental threats. The environmental and economic security can also be affected if the State insufficiently understands the importance of electric vehicle development, their popularization. It is also crucial to encourage the consumption, develop the infrastructure, innovative projects, which reshape the power engineering structure. Objectives. We determine how global trends influence the production and integration of electric vehicles in Russia. We also evaluate the environmental and cost effectiveness of morot vehicle electrification, opportunities and trajectories for the electric vehicle development nationwide. Methods. The study involves methods used to summarize regulatory, empirical and theoretical data, and general and partial scientific methods and techniques, such as abstraction, analysis, analogy, etc. Results. The article shows the extent of electric transport development worldwide, and focuses on environmental issues and opportunities to reduce the carbon footprint by using electric vehicles and renewable energy sources. We point out opportunities, threats, prospects and disadvantages of the electric vehicle use in Russia. The article indicates how the use of electric cars can be developed in Russia, considering changes in the production structure and the generation of positive effects as much as possible. Conclusions. Currently, Russia evidently lags behind the global production and use of electric cars, without having a priority of the carbon footprint reduction. The strategy for the car segment advancement is underdeveloped. Suggested herein, the ideas for the electric car segment development are aimed to encourage the consumption, production, advancement of infrastructure and innovative projects, and ensure the environmental security of the country.


2020 ◽  
Vol 12 (14) ◽  
pp. 5571
Author(s):  
Anastasia Gorbunova ◽  
Ilya Anisimov ◽  
Elena Magaril

The energy industry is a leader of introduction and development of energy supply technologies from renewable energy sources. However, there are some disadvantages of these energy systems, namely, the low density and inconsistent nature of the energy input, which leads to an increase in the cost of the produced electric energy in comparison to the traditional energy complexes using hydrocarbon fuel resources. Therefore, the smart grid technology based on preliminary calculation parameters of the energy system develops in cities. This area should also be used to organize the charging infrastructure of electric vehicles, as the electrification of road transport is one of the global trends. As a result, a current task of the transport and energy field is the development of scientifically based approaches to the formation of the urban charging infrastructure for electric vehicles. The purpose of the article is to identify the features of the application flow formation for the charge of the electric vehicle battery. The results obtained provide a basis for building a simulation model for determining the required number of charging stations in the city, taking into account the criteria of minimizing operating costs for electric vehicle owners and energy companies.


Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2855 ◽  
Author(s):  
Saumya Bansal ◽  
Yi Zong ◽  
Shi You ◽  
Lucian Mihet-Popa ◽  
Jinsheng Xiao

Currently, most of the vehicles make use of fossil fuels for operations, resulting in one of the largest sources of carbon dioxide emissions. The need to cut our dependency on these fossil fuels has led to an increased use of renewable energy sources (RESs) for mobility purposes. A technical and economic analysis of a one-stop charging station for battery electric vehicles (BEV) and fuel cell electric vehicles (FCEV) is investigated in this paper. The hybrid optimization model for electric renewables (HOMER) software and the heavy-duty refueling station analysis model (HDRSAM) are used to conduct the case study for a one-stop charging station at Technical University of Denmark (DTU)-Risø campus. Using HOMER, a total of 42 charging station scenarios are analyzed by considering two systems (a grid-connected system and an off-grid connected system). For each system three different charging station designs (design A-hydrogen load; design B-an electrical load, and design C-an integrated system consisting of both hydrogen and electrical load) are set up for analysis. Furthermore, seven potential wind turbines with different capacity are selected from HOMER database for each system. Using HDRSAM, a total 18 scenarios are analyzed with variation in hydrogen delivery option, production volume, hydrogen dispensing option and hydrogen dispensing option. The optimal solution from HOMER for a lifespan of twenty-five years is integrated into design C with the grid-connected system whose cost was $986,065. For HDRSAM, the optimal solution design consists of tube trailer as hydrogen delivery with cascade dispensing option at 350 bar together with high production volume and the cost of the system was $452,148. The results from the two simulation tools are integrated and the overall cost of the one-stop charging station is achieved which was $2,833,465. The analysis demonstrated that the one-stop charging station with a grid connection is able to fulfil the charging demand cost-effectively and environmentally friendly for an integrated energy system with RESs in the investigated locations.


2020 ◽  
Vol 1 ◽  
pp. 1-23
Author(s):  
Dominik Bucher ◽  
Henry Martin ◽  
Jannik Hamper ◽  
Atefeh Jaleh ◽  
Henrik Becker ◽  
...  

Abstract. The adoption of electric vehicles has the potential to help decarbonizing the transport sector if they are powered by renewable energy sources. Limitations commonly associated with e-cars are their comparatively short ranges and long recharging cycles, leading to anxiety when having to travel long distances. Other factors such as temperature, destination or weekday may influence people in choosing an e-car for a certain trip. Using a unique dataset of 129 people who own both an electric vehicle (EV) as well as one powered by an internal combustion engine (ICE), we analyze tracking data over a year in order to have an empirically verified choice model. Based on a wide range of predictors, this model tells us for an individual journey if the person would rather choose the EV or the ICE car. Our findings show that there are only weak relations between the predictor and target variables, indicating that for many people the switch to an e-car would not affect their lifestyle and the related range anxiety diminishes when actually owning an electric vehicle. In addition, we find that choice behavior does not generalize well over different users.


Author(s):  
Azhar Ul-Haq ◽  
Marium Azhar

This chapter presents a detailed study of renewable energy integrated charging infrastructure for electric vehicles (EVs) and discusses its various aspects such as siting requirements, standards of charging stations, integration of renewable energy sources for powering up charging stations and interfacing devices between charging facilities and smart grid. A smart charging station for EVs is explained along with its essential components and different charging methodologies are explained. It has been recognized that the amalgamation of electric vehicles in the transportation sector will trigger power issues due to the mobility of vehicles beyond the stretch of home area network. In this regard an information and communication technology (ICT) based architecture may support EVs management with an aim to enhance the electric vehicle charging and energy storage capabilities with the relevant considerations. An ICT based solution is capable of monitoring the state of charge (SOC) of EV batteries, health and accessible amount of energy along with the mobility of EVs.


2014 ◽  
Author(s):  
Olumide Bello ◽  
Landon Onyebueke

This paper presents an approach to modeling of renewable energy integration into Smart Grid for Electric Vehicle charging applications. Integration of renewable energy sources to smart grid is not only the key to smart Electric Vehicle charging but also the most efficient way to manage the distributed energy resources. It enables the ability to control, ease the peak load impacts, and protect distribution network components from being overloaded by Electric Vehicles. Thus, the electricity generation and consumption is managed in more cost effective way. The developed model is a grid connected solar-assisted Electric Vehicle charging station, with battery bank. It generates electricity using solar photovoltaic (PV) arrays to augment the electricity used to charge the electric vehicles. The battery bank stores electricity from the grid and discharges the stored energy during periods of peak charging demand. Optimization of the model was done by developing a program written in Visual Basic 2012. The computational results show the economic advantages of this model as well as the anticipated benefits of the smart grid for reduced peak loads, and increased efficiency.


2018 ◽  
Vol 7 (4.38) ◽  
pp. 871
Author(s):  
Gussan Maaz Mufti ◽  
Mobeen Ur Rehman ◽  
Dr. Abdul Basit

Modelling of the Electric Vehicle is analyzed in this paper to evaluate the performance and range of the EV. The indigenous platform of MATLAB has been used to model and simulate the different scenarios of range covered by the EV by varying the accessory power associated with them. The mathematical system was further verified by simulating the standard drive cycles for different regions of the world including the standard drive cycle of U.S.A. and E.U. These results show that the power of the accessories associated with the Electric Vehicles plays a major role in deciding the distances covered by it. A suitable selection can help to increase the range of the Electric Vehicles.       


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