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Author:

Yue, Weizhong (Yue, Weizhong.) | Xi, Rui (Xi, Rui.) | Song, Zeyuan (Song, Zeyuan.)

Indexed by:

Scopus

Abstract:

Charging infrastructure supports the rapid development of China's new energy vehicle industry. It not only plays a decisive role in providing accessible and convenient services for electric vehicle (EV) users but also, in one of the seven new infrastructure areas, plays an important role in stabilizing growth and unleashing economic potential during the new coronavirus (COVID-19) pandemic, impacting China's economy. In this study, the system dynamics model was used to predict the development of the EV industry and the demand for charging infrastructure, while considering the influence of policy, increase in EV mileage, and consumer purchase intention index. Furthermore, using the matching of EVs and charging infrastructure in Beijing and policy-oriented sensitivity analysis, a simulation of the construction of battery swap taxis and power stations under three policy scenarios was conducted. This research shows that with policies implemented to support charging infrastructure and swapping compatible taxis, Beijing can achieve its goal of replacing all EVs with fast-swap batteries and fast-charging functions within three years.

Keyword:

System Dynamics Electric Vehicle Charging Infrastructure Battery Swap Station System Simulation

Author Community:

  • [ 1 ] [Yue, Weizhong]Beijing Univ Technol, Sch Econ & Management, Beijing 100124, Peoples R China
  • [ 2 ] [Xi, Rui]Beijing Jiaotong Univ, Sch Econ & Management, Beijing 100044, Peoples R China
  • [ 3 ] [Song, Zeyuan]Beijing Jiaotong Univ, Sch Econ & Management, Beijing 100044, Peoples R China
  • [ 4 ] [Yue, Weizhong]Beijing Municipal Commiss Housing & Urban Rural D, Beijing 101160, Peoples R China

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Source :

CHINESE JOURNAL OF POPULATION RESOURCES AND ENVIRONMENT

ISSN: 1004-2857

Year: 2021

Issue: 1

Volume: 19

Page: 88-97

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 11

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