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Title:

A Location Model of EV Public Charging Station Considering Drivers’ Daily Activities and Range Anxiety: Case Study of Beijing
Cover of A Location Model of EV Public Charging Station Considering Drivers’ Daily Activities and Range Anxiety: Case Study of Beijing

Accession Number:

01626643

Record Type:

Component

Abstract:

Deploying more public charging stations reasonably is viewed as an important and feasible way by Chinese government to ensure electric vehicle (EV) consumers to accomplish daily activities without changing their activity schedules, and then to promote the widespread adoption of EVs which is hindered by range anxiety. In this paper, a location model of EV public charging station is proposed by considering daily activities and range anxiety. First, the charging behavior is analyzed and an approach to determine potential charging spot is proposed by considering drivers’ demand to accomplish daily activities and the effect of range anxiety. Second, a location model of EV public charging station is presented to minimize the missed trips based on the analysis of the charging behavior. Finally, by using the travel survey data, the characteristics of drivers’ daily trips is obtained, and the location model is applied to one of the most prosperous districts in Beijing, China. The result shows that each driver per day makes 2.4 trips, travels 30.1 km, and parks 518 min on average, and only 2.7% of the EV drivers cost more than 50% of the battery capacity. The planning public charging stations cover the areas with commercial, high-tech industry, and universities. Moreover, siting more charging stations could effectively decrease the missed trips, but the effect of the decrease is weakened when the number of charging stations reaches a certain amount, and the regions sited charging stations has a trend to match the top parking regions with the increase of charging stations.

Supplemental Notes:

This paper was sponsored by TRB committee ADC80 Standing Committee on Alternative Transportation Fuels and Technologies.

Monograph Accession #:

01618707

Report/Paper Numbers:

17-00064

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Pan, Long
Yao, Enjian
Zhang, Rui

Pagination:

16p

Publication Date:

2017

Conference:

Transportation Research Board 96th Annual Meeting

Location: Washington DC, United States
Date: 2017-1-8 to 2017-1-12
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Maps; References

Geographic Terms:

Beijing (China)

Subject Areas:

Energy; Highways; Planning and Forecasting; Terminals and Facilities; Vehicles and Equipment

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-00064

Files:

PRP, TRIS, TRB, ATRI

Created Date:

Dec 8 2016 9:56AM