Next Article in Journal
Multi-Objective Optimisation-Based Tuning of Two Second-Order Sliding-Mode Controller Variants for DFIGs Connected to Non-Ideal Grid Voltage
Previous Article in Journal
Development of an Integrated Power Distribution System Laboratory Platform Using Modular Miniature Physical Elements: A Case Study of Fault Location
Open AccessArticle

An Electric Taxi Charging Station Planning Scheme Based on an Improved Destination Choice Method

1
School of Control & Computer Engineering, North China Electric Power University, Beijing 102206, China
2
China Institute of Energy and Transportation Integrated Development, Beijing 102206, China
3
Guangdong Power Grid Co., Ltd. Zhanjiang Power Supply Bureau, Zhanjiang 524002, China
4
School of Information Resource Management, Renmin University of China, Beijing 100872, China
5
Department of Electrical and Electronics Engineering, Kırıkkale University, Kirikkale 71451, Turkey
6
School of Economics & Management, China University of Petroleum, Qingdao 266580, China
*
Author to whom correspondence should be addressed.
Energies 2019, 12(19), 3781; https://doi.org/10.3390/en12193781
Received: 25 August 2019 / Revised: 25 September 2019 / Accepted: 29 September 2019 / Published: 5 October 2019
(This article belongs to the Section Electric Vehicles)
The environmental crisis has prompted the development of electric vehicles as a green and environmentally friendly mode of travel. Since a reasonable layout of electric vehicle (EV) charging stations is the prerequisite for developing the EV industry, obtaining an optimal and efficient EV charging station planning scheme is a key issue. Although the Chinese government has carried out a plan to build EV charging piles in residential and working places, it cannot properly fulfill the task of matching the charging needs for public transportation vehicles such as electric taxis (ETs). How to evaluate the performance of fast charging stations (FCSs) and how to help find the optimal ET charging station planning scheme are new challenges. In this paper, an improved destination selection model is proposed to simulate the ET operation system and to help find the optimal ET charging station size with statistical analysis based on the charging need prediction. A numerical case study shows that the proposed method can address ET charging behavior well and can help to statistically determine the size of each ET charging station, which should satisfy the constraints on the preset proportion of the ET charging service requests. View Full-Text
Keywords: electric taxis; destination selection model; statistical analysis; charging station deployment plan electric taxis; destination selection model; statistical analysis; charging station deployment plan
Show Figures

Figure 1

MDPI and ACS Style

Shi, R.; Liu, J.; Liao, Z.; Niu, L.; Ibrahim, E.; Fu, F. An Electric Taxi Charging Station Planning Scheme Based on an Improved Destination Choice Method. Energies 2019, 12, 3781.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop