scholarly journals Study on Influence Factors of Electric Vehicles Charging Station Location Based on ISM and FMICMAC

2017 ◽  
Vol 9 (4) ◽  
pp. 484 ◽  
Author(s):  
Han Wu ◽  
Dongxiao Niu
Systems ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 19
Author(s):  
Mahdi Boucetta ◽  
Niamat Ullah Ibne Hossain ◽  
Raed Jaradat ◽  
Charles Keating ◽  
Siham Tazzit ◽  
...  

Exponential technological-based growth in industrialization and urbanization, and the ease of mobility that modern motorization offers have significantly transformed social structures and living standards. As a result, electric vehicles (EVs) have gained widespread popularity as a mode of sustainable transport. The increasing demand for of electric vehicles (EVs) has reduced the some of the environmental issues and urban space requirements for parking and road usage. The current body of EV literature is replete with different optimization and empirical approaches pertaining to the design and analysis of the EV ecosystem; however, probing the EV ecosystem from a management perspective has not been analyzed. To address this gap, this paper develops a systems-based framework to offer rigorous design and analysis of the EV ecosystem, with a focus on charging station location problems. The study framework includes: (1) examination of the EV charging station location problem through the lens of a systems perspective; (2) a systems view of EV ecosystem structure; and (3) development of a reference model for EV charging stations by adopting the viable system model. The paper concludes with the methodological implications and utility of the reference model to offer managerial insights for practitioners and stakeholders.


Energy ◽  
2016 ◽  
Vol 114 ◽  
pp. 1033-1040 ◽  
Author(s):  
Patrick Fekete ◽  
Sirirat Lim ◽  
Steve Martin ◽  
Katja Kuhn ◽  
Nick Wright

2014 ◽  
Vol 953-954 ◽  
pp. 1338-1341 ◽  
Author(s):  
Zong Feng Li ◽  
Chun Lin Guo ◽  
Jun Chen ◽  
Zhe Ci Tang ◽  
Wen Chen ◽  
...  

As a promising transport in the future, electric vehicles plays an important role in people's lives and energy conservation. Planning of electric vehicle charging stations has a far-reaching significance for the popularity of electric vehicles. In this paper, we discuss the siting problem of electric vehicle charging station and propose a two-step method of optimization method. Firstly, we establish a charging station location model, then use Voronoi diagram to determine the preliminary zone, finally we get this problem optimally solved by immune algorithm.The example verifies feasibility of this model.


2021 ◽  
pp. 1-13
Author(s):  
Xiangke Cui ◽  
Zhenji Zhang ◽  
Fang Liu ◽  
Jingya Liu

This study aims to solve the problem of locating charging stations for public electric vehicles. We take into consideration the factors affecting charging station locations including mileage, electric vehicles distribution, and passenger distribution. A Non-deterministic Polynomial model aiming to minimize the total vehicle service distance is developed. We use an agent-based model to simulate the optimized charging station location based on Anylogic. Through a case study of Beijing, we test the model in five situations. The results of one situation show that the existing layout of the charging stations is unreasonable when charging frequency is sharply variant (basic model); this paper optimizes the existing location by improving the constraint for the smallest number of charging stations (improved model); compared with the basic model, the improved model has a shorter response time to passenger demand, shorter service time for passengers but more mileage for electric vehicles.


2020 ◽  
Vol 8 (6) ◽  
pp. 3764-3770

Sometimes, Solar Electric Vehicles (SEV) drain out of power and stops in the middle of the journey. To overcome this problem, SEV is upgraded with on-board and off-board charging facilities. This paper proposes a prediction algorithm that considers solar power and battery power to find out the distance the vehicle can travel, thus helping the vehicle driver to stop at a charging station to charge the vehicle. The proposed algorithm is simulated for various driving cycles and results are presented and discussed.


Author(s):  
Xiangyu Luo ◽  
Rui Qiu

Electric vehicles, a significant part of sustainable transport, are attracting increasing attention with the development of sustainable cities. However, as supporting facilities of electric vehicles, public charging stations are of great significance to the promotion of electric vehicles. This paper proposes an electric vehicle charging station location model to improve the resource utilization of electric vehicles for sustainable cities. In this model, reservation services, idle rates during off-peak periods, and waiting time during peak periods are considered. Finally, a case from Chengdu, China, is used to examine the effectiveness of the proposed model. Then, further analyses of reservation ratios and penetration rates are conducted. The results show that the introduction of a reservation service has a positive effect on reducing the total cost, which would provide further support for sustainable cities and have an even greater impact on healthier lives.


2016 ◽  
Vol 52 ◽  
pp. 11-22 ◽  
Author(s):  
Zhi-Hong Zhu ◽  
Zi-You Gao ◽  
Jian-Feng Zheng ◽  
Hao-Ming Du

Sign in / Sign up

Export Citation Format

Share Document