scholarly journals User Satisfaction of Electric-Vehicles About Charging Stations (Home, Outdoor, and Workplace)

Author(s):  
Iqbal H. Jebril Et.al

This paper aims to investigate the user’s satisfaction with electric cars about charging stations (home, outdoor, and workplace). The descriptive approach was used. 403 questionnaires was distributed to the study population, 349 questionnaires are Usable. The Data were analyzed using Amos. The study found that there is an impact on the satisfaction of electric vehicle users in Jordan. we recommends to reducing the time spent charging electric vehicles at external charging stations, and increasing the quality of the mechanisms used in charging electric cars.

2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Oleksii Serhiiovych Yama ◽  
Yurii Serhiiovych Olishevskii

The electric vehicle (EV) market is actively developing by leading car manufacturers around the world. The main efforts of developers are aimed at creating an efficient energy storage device - a rechargeable battery, because its parameters largely characterize the EV: power reserve and acceleration, engine power and others. But for the comfortable existence of EV in urban conditions requires a certain infrastructure, which includes charging stations, containing all the necessary equipment to charge the battery. In the results use many different terms and definitions that often describe the same phenomenon. This paper substantiates the need for systematization and analysis of equipment for charging electric vehicles. The methods of charging electric cars are considered in the work, the information on the ways of charging EV is arranged, parallels between different standards are made. Chargers for electric vehicles can be classified as follows: AC charging and DC charging. Both methods of EV charging are regulated by different standards in different countries. The US and Japan use the SAE J1772 standard, it covers both types of charging methods mentioned above. Its European adaptation is IEC 61851. The standard describes the power level of charging stations and types of EV sockets. The charging mode describes the safety communication protocol between the electric vehicle and the charging station. To establish a serial connection between the electric vehicle and the EVSE, there is a function "PILOT", which refers to the protocol IEC 61851, provides the necessary functions related to the communication of EV and EVSE. The connection detection sequence is performed automatically when the EVSE power control cable is physically connected to the EV. Of the many variants of controlled AC chargers, according to the authors, the most promising is the option based on an open project. The advantages are open data on the applied circuit solutions and code, as well as low cost compared to industrial designs, the availability of a user-friendly interface, the ability to create your own mobile application and connect a payment system. The disadvantage of the IEC 61851 protocol is the limited exchange of EVSE data with EV. Because only data on initialization, process and charge stop is transmitted via the exchange channel. The charging station cannot estimate the type of electric car, its characteristics, capacity and battery condition, maximum charging speed, etc. Implementing the above could be useful for creating things like load balancing and the potential for a possible return of electricity to the grid.


2021 ◽  
Vol 63 (1) ◽  
pp. 34-37
Author(s):  
Katarzyna Kosakowska

Electric cars have appeared in Poland relatively recently. However, they quickly became an important part of the discussion as an ecological alternative to traditional combustion vehicles. In 2018, the law was introduced regulating the use of infrastructure used by electric vehicles, subsidies and benefits for drivers operating such vehicles. Dynamic development of the electric vehicle market in the world, only to some extent, has translated itself into their popularity in Poland. The article deals with issues related to the causes of such a state, evaluating the main elements determining the expansion and popularity of this segment. Its main objective is to present a methodology for evaluating the infrastructure conducive to the development of electromobility in Poland in terms of the number of electric vehicle charging stations.


Author(s):  
Martin Kalthaus ◽  
Jiatang Sun

AbstractWe analyze the effect of four determinants of electric vehicle diffusion in China for a panel of 31 regions for the period 2010–2016. We analyze diffusion of four different electric vehicle types, namely battery electric cars and buses as well as plug-in hybrid electric cars and buses. System GMM panel estimation results show that total monetary subsidies have a positive effect only on the diffusion of battery electric cars. A closer look reveals that subsidies provided by regional governments are decisive for all types of vehicles but the subsidy provided by the central government and its degression over time dilute the overall effect of subsidies and is partly detrimental. Non-monetary ownership policies, such as license-plate lotteries, show a positive effect only for battery electric cars. Availability of public charging infrastructure increases diffusion of all vehicle types. Charging points are relevant for cars, while charging stations are especially decisive for the diffusion of electric buses. Using local environmental conditions as a novel determinant for the diffusion of electric vehicles reveals that the local air pollution influences the diffusion of buses, but not of cars.


Energies ◽  
2019 ◽  
Vol 12 (10) ◽  
pp. 1915 ◽  
Author(s):  
Tao Yi ◽  
Xiao-bin Cheng ◽  
Hao Zheng ◽  
Jin-peng Liu

The development of electric vehicles has significant value for the sustainable utilization of energy resources. However, the unreasonable construction of charging stations causes problems such as low user satisfaction, waste of land resources, unstable power systems, and so on. Reasonable planning of the location and capacity of charging stations is of great significance to users, investors and power grids. This paper synthetically considers three indicators of user satisfaction: charging convenience, charging cost and charging time. Considering the load and charging requirements, the model of electric vehicle charging station location and volume is established, and the model based on artificial immune algorithm is used to optimize the solution. An empirical analysis was conducted based on a typical regional survey. The research results show that increasing the density of charging stations, lowering the charging price and shortening the charging time can effectively improve user satisfaction. The constructed site and capacity selection optimization solving model can scientifically guide charging station resource allocation under the constraints of the optimal user comprehensive satisfaction target, improve the capacity of scientific planning and resource allocation of regional electric vehicle charging stations, and support the large-scale promotion and application of electric vehicles.


2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Yongguang Liu ◽  
Wei Chen ◽  
Zhu Huang

The popularization of electric vehicles faces problems such as difficulty in charging, difficulty in selecting fast charging locations, and comprehensive consideration of multiple factors and vehicle interactions. With the increasingly mature application of navigation technology in vehicle-road coordination and other aspects, the proposal of an optimal dynamic charging method for electric fleets based on adaptive learning makes it possible for edge computing to process electric fleets to effectively execute the optimal route charging plan. We propose a method of electric vehicle charging service scheduling based on reinforcement learning. First, an intelligent transportation system is proposed, and on this basis a framework for the interaction between fast charging stations and electric vehicles is established. Subsequently, a dynamic travel time model for traffic sections was established. Based on the habits of electric vehicle owners, an electric vehicle charging navigation model and a reinforcement learning reward model were proposed. Finally, an electric vehicle charging navigation scheduling method is proposed to optimize the service resources of the fast charging stations in the area. The simulation results show that the method balances the charging load between stations, can effectively improve the charging efficiency of electric vehicles, and increases user satisfaction.


2021 ◽  
Vol 13 (11) ◽  
pp. 6163
Author(s):  
Yongyi Huang ◽  
Atsushi Yona ◽  
Hiroshi Takahashi ◽  
Ashraf Mohamed Hemeida ◽  
Paras Mandal ◽  
...  

Electric vehicle charging station have become an urgent need in many communities around the world, due to the increase of using electric vehicles over conventional vehicles. In addition, establishment of charging stations, and the grid impact of household photovoltaic power generation would reduce the feed-in tariff. These two factors are considered to propose setting up charging stations at convenience stores, which would enable the electric energy to be shared between locations. Charging stations could collect excess photovoltaic energy from homes and market it to electric vehicles. This article examines vehicle travel time, basic household energy demand, and the electricity consumption status of Okinawa city as a whole to model the operation of an electric vehicle charging station for a year. The entire program is optimized using MATLAB mixed integer linear programming (MILP) toolbox. The findings demonstrate that a profit could be achieved under the principle of ensuring the charging station’s stable service. Household photovoltaic power generation and electric vehicles are highly dependent on energy sharing between regions. The convenience store charging station service strategy suggested gives a solution to the future issues.


Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2820 ◽  
Author(s):  
Hui Sun ◽  
Peng Yuan ◽  
Zhuoning Sun ◽  
Shubo Hu ◽  
Feixiang Peng ◽  
...  

With the popularization of electric vehicles, free charging behaviors of electric vehicle owners can lead to uncertainty about charging in both time and space. A time-spatial dispatching strategy for the distribution network guided by electric vehicle charging fees is proposed in this paper, which aims to solve the network congestion problem caused by the unrestrained and free charging behaviors of large numbers of electric vehicles. In this strategy, congestion severity of different lines is analyzed and the relationship between the congested lines and the charging stations is clarified. A price elastic matrix is introduced to reflect the degree of owners’ response to the charging prices. A pricing scheme for optimal real-time charging fees for multiple charging stations is designed according to the congestion severity of the lines and the charging power of the related charging stations. Charging price at different charging station at different time is different, it can influence the charging behaviors of vehicle owners. The simulation results confirmed that the proposed congestion dispatching strategy considers the earnings of the operators, charging cost to the owners and the satisfaction of the owners. Moreover, the strategy can influence owners to make judicious charging plans that help to solve congestion problems in the network and improve the safety and economy of the power grid.


Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2479 ◽  
Author(s):  
Yue Wang ◽  
Zhong Liu ◽  
Jianmai Shi ◽  
Guohua Wu ◽  
Rui Wang

The promotion of the battery electric vehicle has become a worldwide problem for governments due to its short endurance range and slow charging rate. Besides an appropriate network of charging facilities, a subsidy has proved to be an effective way to increase the market share of battery electric vehicles. In this paper, we investigate the joint optimal policy for a subsidy on electric vehicles and infrastructure construction in a highway network, where the impact of siting and sizing of fast charging stations and the impact of subsidy on the potential electric vehicle flows is considered. A new specified local search (LS)-based algorithm is developed to maximize the overall number of available battery electric vehicles in the network, which can get provide better solutions in most situations when compared with existed algorithms. Moreover, we firstly combined the existing algorithms to establish a multi-stage optimization method, which can obtain better solutions than all existed algorithms. A practical case from the highway network in Hunan, China, is studied to analyze the factors that impact the choice of subsidy and the deployment of charging stations. The results prove that the joint policy for subsidy and infrastructure construction can be effectively improved with the optimization model and the algorithms we developed. The managerial analysis indicates that the improvement on the capacity of charging facility can increase the proportion of construction fees in the total budget, while the improvement in the endurance range of battery electric vehicles is more efficient in expanding battery electric vehicle adoption in the highway network. A more detailed formulation of the battery electric vehicle flow demand and equilibrium situation will be studied in the future.


2020 ◽  
Vol 20 (1) ◽  
pp. 258
Author(s):  
Annisa Firdausi ◽  
Arlina Dewi ◽  
Susanto Susanto

Death and complication due to surgeries or surgical actions is a global health problem. The WHO estimates that at least half a million deaths that are caused by surgeries can be prevented. On 2008, the WHO released a campaign about safe surgery and the surgical safety checklist to improve the quality of our surgery cases and decrease the number of complication and deaths caused by surgeries. Hospital accreditation is used to improve the quality of hospital management, including in reducing numbers of death and complication due to surgeries.  This is a quantitative descriptive approach study. The study population used were all surgical safety checklist. Sample number of 75 surgical safety checklist, 15 surgical safety checklist each from June 2017, August 2017, January 2018, June 2018, and January 2019. Data analysis shown by statistic table and percentage. There was a change of number in completing compliance of the surgical safety checklist before and after hospital accreditation. It showed that nearing hospital accreditation, the compliance rate was almost 100% on all the items. This continued a month after, but some of the items had a lower rate of compliance further after the hospital accreditation. The number of completing compliance of the surgical safety checklist nearing hospital accreditation is higher than after hospital accreditation. The sign in item have the highest rate of completing compliance whereas the sign out item had the lowest number of compliance.


2021 ◽  
Vol 2129 (1) ◽  
pp. 012011
Author(s):  
V.K Bupesh Raja ◽  
Ignatius Raja ◽  
Rahul Kavvampally

Abstract The Automotive Industry has undergone a huge revolution – Electric Vehicles! Electric cars are growing fast and the demand for them is increasing all around the world, thanks to the more and improved choice, reduced prices, and enhancing battery technology. Introduced more than 100 years ago, electric vehicles have gone through a tremendous amount of advancement. This paper reviews the current major challenges faced by the Electric Vehicle Industry along with possible solutions to overcome them. Although electric vehicles have come a long way, the battery used in the vehicles needs to be further explored to harness maximum energy with a compact design. Electric vehicles should soon be able to compete with combustion engine vehicles in every aspect. Also, this paper reviews alternative materials for electrodes and batteries to make charging faster and reliable than ever. This paper envisages few concepts that could revolutionize Automobile Industry further in the future.


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