scholarly journals Neural Network Facial Authentication for Public Electric Vehicle Charging Station

2021 ◽  
Vol 3 (1) ◽  
pp. 17-21
Author(s):  
Muhamad Amin Husni Abdul Haris ◽  
Sin Liang Lim
Keyword(s):  
Electric Vehicle ◽  
Facial Recognition ◽  
Asian Ethnicity ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Knn Classifier ◽  
Fair Comparison ◽  
Authentication System ◽  
Ev Charging ◽  
Accuracy Performance

This study is to investigate and compare the facial recognition accuracy performance of Dlib ResNet against a K-Nearest Neighbour (KNN) classifier. Particularly when used against a dataset from an Asian ethnicity as Dlib ResNet was reported to have an accuracy deficiency when it comes to Asian faces. The comparisons are both implemented on the facial vectors extracted using the Histogram of Oriented Gradients (HOG) method and use the same dataset for a fair comparison. Authentication of a user by facial recognition in an electric vehicle (EV) charging station demonstrates a practical use case for such an authentication system.

scholarly journals Self-Sustainable off grid Electric Vehicle (EV) Charging Station with Integration of Renewable Sources

2020 ◽  
Vol 9 (3) ◽  
pp. 2669-2674
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Large Scale ◽  
Transport Systems ◽  
Diesel Generator ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Power Generation Technology ◽  
Charging Stations ◽  
Ev Charging

Electric Vehicles (EV) are the world’s future transport systems. With the rise in pollutions and its effects on the environment, there has been a large scale movetowards electrical vehicles. But the plug point availability for charging is the serious problem faced by the mostof Electric Vehicle consumers. Therefore, there is a definite need to move from the GRID based/connected charging stations to standalone off-grid stations for charging the Electric Vehicles. The objective of this paper is to arrive at the best configuration or mix of the renewable resources and energy storage systems along with conventional Diesel Generator set which together works in offgrid for Electric Vehicle charging. As aconclusion, by utilizing self-sustainable off-grid power generation technology, the availability of EV charging stations in remote localities at affordable price can be made and mainly it reduces burden on the existing electrical infrastructure.

scholarly journals Development of Electric Vehicle Charging Infrastructure Based on Population

2020 ◽  
Vol 6 (6) ◽  
pp. 14-16
Author(s):  
S Mani ◽  
R Raguraj ◽  
R Harikaran ◽  
S Hariramselvakanth ◽  
K.S. Gowthaman
Keyword(s):  
Electric Vehicle ◽  
Nearest Neighbor ◽  
Learning Algorithm ◽  
Population Data ◽  
Initial Time ◽  
K Nearest Neighbor ◽  
Charging Infrastructure ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Ev Charging

This research investigates electric vehicle(EV) charging behavior and aims to find the best method for its prediction in order to optimize the EV charging station(CS). This paper discusses several commonly used machine learning algorithm or k-Nearest Neighbor(k-NN) to predict charging station based on population data records. According to the objective of the charging station planning, use the concept of group to do clustering evolution search. Hence the results of k-NN algorithm achieved through MATLAB software. Based on the population, the initial time location of the charging station will be randomly considered in Manapparai, Lalgudi, Vaiyampatti, Thiruverumbur in Trichy based on population.

scholarly journals THE IMPORTANCE OF PUBLIC-FUNDED CHARGING STATIONS TO INCREASE THE RATE OF ELECTRIC VEHICLE (EV) OWNERSHIP IN INDONESIA

2021 ◽  
Vol 22 (1) ◽  
pp. 78-91
Author(s):  
Faiz Rafiza Ahmadani ◽  
Rafi Aquary
Keyword(s):  
Electric Vehicle ◽  
Hand Position ◽  
Publicly Funded ◽  
The Public ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Range Anxiety ◽  
The Government ◽  
Charging Stations ◽  
Ev Charging

The current surplus of electricity across Indonesia has further underlined many opportunities to optimize the usage of electricity in many sectors; including on the issue of Electric Vehicle (EV) ownership within the country. According to the government’s projection, the state-owned enterprise (SOE) of PLN would construct 254.181 units of charging stations by 2030. However, there exists the problem of ‘chicken and egg’; in which more EV charging stations would be required to spur EV sales and vice versa. In addition to that, the lack of charging stations has also led to the disinterest from the public to purchase EVs due to fear of range anxiety. Hence, this paper is written to address the importance of publicly funded charging stations in Indonesia to help cultivate EV development within the country. Not only that, since Indonesia is the largest member country of ASEAN, it could be the ‘trendsetter’ of this issue in the region and would have the upper hand position as an early adopter. Our hypotheses suggest that not only publicly funded the development of charging stations would be beneficial to the future-buyer of EV, but also for the government itself.     Keywords: Electric Vehicle, Charging Station, Public-Funded, Range Anxiety   

A RFID-Based Security Authentication System Model for Electric Vehicle Charging Station

2015 ◽  
Vol 741 ◽  
pp. 623-628
Author(s):  
Lei Fang ◽  
Xue Rao ◽  
Ling Li ◽  
Huan Li
Keyword(s):  
Electric Vehicle ◽  
Encryption Algorithm ◽  
System Model ◽  
Algorithm Analysis ◽  
Hybrid Encryption ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Security Authentication ◽  
Authentication System ◽  
Vehicle Charging

Improving the efficiency of RFID data storage and ensuring communication security is an effective way to improve the efficiency and safety of the identifying and authenticating process between charging stations and electric vehicles. Considering structure of electric vehicle charging station (EVCS) and the components of RFID system, this paper presents a charging station security authentication system model based on lightweight RFID security protocol using hybrid encryption technology. This protocol participates in the computation and storage through a reader-writer, so that it can store more data than other protocols using the same storage, meanwhile keeping lightweight. To enhance security, a hybrid encryption for RFID is proposed, which is based on public key signature encryption algorithm, hash function and symmetric key algorithm. Analysis demonstrates that this system has great calculating storage performance and security. In addition, it has the ability to resist several typical attacks. Moreover, gate circuits needed to achieve such encryption algorithm is far less than the one used in conventional SHA-256 algorithm.

scholarly journals Energy Management System Optimization of Drug Store Electric Vehicles Charging Station Operation

2021 ◽  
Vol 13 (11) ◽  
pp. 6163
Author(s):  
Yongyi Huang ◽  
Atsushi Yona ◽  
Hiroshi Takahashi ◽  
Ashraf Mohamed Hemeida ◽  
Paras Mandal ◽  
...  
Keyword(s):  
Power Generation ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
System Optimization ◽  
Mixed Integer ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Photovoltaic Power ◽  
Vehicle Charging ◽  
Charging Stations

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.

scholarly journals An Optimal Control Algorithm with Reduced DC-Bus Current Fluctuation for Multiple Charging Modes of Electric Vehicle Charging Station

2021 ◽  
Vol 12 (3) ◽  
pp. 107
Author(s):  
Tao Chen ◽  
Peng Fu ◽  
Xiaojiao Chen ◽  
Sheng Dou ◽  
Liansheng Huang ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Control Algorithm ◽  
Current Fluctuation ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Three Phase ◽  
Optimization Control ◽  
Dc Bus ◽  
Vehicle Charging

This paper presents a systematic structure and a control strategy for the electric vehicle charging station. The system uses a three-phase three-level neutral point clamped (NPC) rectifier to drive multiple three-phase three-level NPC converters to provide electric energy for electric vehicles. This topology can realize the single-phase AC mode, three-phase AC mode, and DC mode by adding some switches to meet different charging requirements. In the case of multiple electric vehicles charging simultaneously, a system optimization control algorithm is adopted to minimize DC-bus current fluctuation by analyzing and reconstructing the DC-bus current in various charging modes. This algorithm uses the genetic algorithm (ga) as the core of computing and reduces the number of change parameter variables within a limited range. The DC-bus current fluctuation is still minimal. The charging station system structure and the proposed system-level optimization control algorithm can improve the DC-side current stability through model calculation and simulation verification.

Optimized Electric Vehicle Charging Pricing Method Using Game Theory

2014 ◽  
Vol 986-987 ◽  
pp. 400-403 ◽  
Author(s):  
Kuan Lu ◽  
Wen Shan Gao ◽  
Jing Li ◽  
Wan Lei Xue ◽  
Wen Xue Sun
Keyword(s):  
Game Theory ◽  
Decision Making ◽  
Cost Analysis ◽  
Benefit Cost Analysis ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Main Factors ◽  
Benefit Cost ◽  
Behavior Models ◽  
Ev Charging

First, behavior models of the station operator and consumer are established considering all the main factors. Second, an optimized EV charging pricing method using Game Theory is introduced based on benefit-cost analysis. The calculation of government subsidies is also proposed in order to reach an equilibrium charging price. Finally, actual data of Hebei is used and results are shown to give supports to local government and charging station operator’s decision making.

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