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Title:

A Location Model for Evaluating the Demand-Fulfillment Effect of Public and Home Charging Networks: A Case Study of Beijing

Accession Number:

01658674

Record Type:

Component

Abstract:

Deploying public charging stations is viewed as a feasible way for electric vehicle (EV) drivers to mitigate the range anxiety and accomplish daily trips, especially for crowded cities in which each EV driver may not have a home charger. In this paper, a location model is proposed to site public charging stations by considering the demand-fulfillment effect of both public and home charging. First, a deterministic process of charging behavior is established by considering the combination of trip destinations and range anxiety. Second, a location model of public charging station considering the ownership rate of home chargers (ORH) is presented to minimize the missed trips. Finally, by using the travel survey data, preliminary statistics of EV drivers’ trips are obtained, and the location model is applied to the center area of Beijing, China. Results show that on weekdays each EV driver makes 11.7 trips, travels 148.0 km, and has 97 hours for parking, which could be the potential charging time. 46% of the EV drivers cost more than EV battery energy on weekdays. Based on the authors' case, the optimal solution shows that both home and public charging could be considerably positive to maintain EV drivers’ trips. Public charging frequency declines significantly with the increase of ORH, but private charging frequency is not much sensitive to the number of public charging stations. Moreover, the temporal distribution patterns of home and public charging frequency are different, and the planning public charging stations cover the main high-tech and financial areas with a higher charging frequency.

Supplemental Notes:

This paper was sponsored by TRB committee ADB40 Standing Committee on Transportation Demand Forecasting.

Report/Paper Numbers:

18-00292

Language:

English

Authors:

Pan, Long
Yao, Enjian
Zhang, Rui

Pagination:

5p

Publication Date:

2018

Conference:

Transportation Research Board 97th Annual Meeting

Location: Washington DC, United States
Date: 2018-1-7 to 2018-1-11
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; 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 2018 Paper #18-00292

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 10:05AM