Empirical Analysis of Electric Vehicles’ Charging Patterns: Case Study From Shanghai

23 Pages Posted: 30 Jun 2022

See all articles by Zhi Li

Zhi Li

NYU Shanghai

Zhengtian Xu

George Washington University - Department of Civil and Environmental Engineering

Zhibin Chen

Division of Engineering and Computer Science, NYU Shanghai; Center for Data Science and Artificial Intelligence, NYU Shanghai; Shanghai Key Laboratory of Urban Design and Urban Science

Chi Xie

Tongji University

Guodong Chen

New York University (NYU) - New York University (NYU), Shanghai

Minghui Zhong

Shanghai Electric Vehicle Public Data Collecting, Monitoring, and Research Center

Multiple version iconThere are 2 versions of this paper

Date Written: June 25, 2022

Abstract

Automotive electrification is a vital component of the carbon-neutrality agenda. To counter the influence of shrinking public incentives for purchasing electric vehicles (EVs), it is crucial to deepen the understanding of the existing users’ use cases and clear the barriers for potential EV owners in daily usage. To this end, our study analyzes an 11-month usage data from a large sample of EVs, including 3,777 battery EVs (BEVs) and 5,973 plug-in hybrid EVs (PHEVs) in Shanghai, China. Based on their daily travel intensity, the EVs are clustered into two groups used primarily for private and commercial purposes. Comprehensive analyses are then conducted for each group of EVs, with major findings retrieved as follows: 1) Similar to gasoline-car users, BEV users also tend to charge their vehicles when the SOC declines to a certain level; 2) Private BEVs use slow charging in 69% charging sessions, whereas commercial BEVs use fast charging dominantly for 89% occasions; 3) Replacing all the remaining gas-based passenger cars in Shanghai with BEVs will result in a 10-15% surge in charging load to the power grid; 4) In opposite to BEVs, PHEVs with small batteries are charged less often and rely more on gas power, whereas large-battery PHEVs are used like BEVs and charged more frequently; and 5) PHEVs' battery utilization can be significantly overestimated using the method proposed by the Society of Automotive Engineers, especially for the private sector. Potential EV-related policy implications are discussed based on the empirical findings.

Keywords: Electric vehicles, Charging activities, Charging facilities, Range anxiety, Energy consumption rate, Empirical analysis

Suggested Citation

Li, Zhi and Xu, Zhengtian and Chen, Zhibin and Xie, Chi and Chen, Guodong and Zhong, Minghui, Empirical Analysis of Electric Vehicles’ Charging Patterns: Case Study From Shanghai (June 25, 2022). Available at SSRN: https://ssrn.com/abstract=4146433 or http://dx.doi.org/10.2139/ssrn.4146433

Zhi Li

NYU Shanghai ( email )

1555 Century Ave
Shanghai, 200122
China

Zhengtian Xu

George Washington University - Department of Civil and Environmental Engineering ( email )

800 22nd Street NW
Washington, DC 200052
United States

Zhibin Chen (Contact Author)

Division of Engineering and Computer Science, NYU Shanghai ( email )

1555 Century Ave
Shanghai, Shanghai 200122
China

Center for Data Science and Artificial Intelligence, NYU Shanghai ( email )

1555 Century Ave
Shanghai, Shanghai 200122
China

Shanghai Key Laboratory of Urban Design and Urban Science ( email )

1555 Century Ave
Shanghai, 200122
China

Chi Xie

Tongji University

Guodong Chen

New York University (NYU) - New York University (NYU), Shanghai ( email )

1555 Century Ave
Shanghai, Shanghai 200122
China

Minghui Zhong

Shanghai Electric Vehicle Public Data Collecting, Monitoring, and Research Center ( email )

Shanghai
China

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
94
Abstract Views
286
rank
370,705
PlumX Metrics