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- Title
A Design of Elecomb.
- Authors
Li Zhang; Yifan Ji; Bowen Zhao
- Abstract
We analyze the problem of designing a charging station network for electric cars. We first predict the development of Tesla's charging stations in the U.S.We find that Tesla will push the U.S. to all-electrification of vehicles. Considering the coverage of charging stations and other factors, we use a nonlinear programming model and the concepts of shortest path and minimum cost to arrive at a network of charging stations in the U.S. In total, 6.5 million charging stations are needed: 1.3 million in rural areas, 3.0 million in suburban areas, and 2.2 million in urban areas, of which 2.0 million should be fast charging stations. The country of Ireland would require 88,000 charging stations for full coverage of electric vehicles. We establish an index of degree-of-urgency for charging stations and find, based on a logistic growth model, that it would take Ireland 16 years to realize all-electric vehicles. For other countries, we first optimize the index of urgency in the light of the different cost of building charging stations in urban and in rural areas and the country's level of science and technology. The indexes that affect the urgency are described by the macroeconomic indicators of the country such as the Gini coefficient and the urban housing price. For low urgency, build all rural chargers first; for high urgency, build all urban chargers first; otherwise, build both at the same time. We also analyze the impact of new technologies, such as sharing cars, selfdriving cars, etc. In particular, an increase in rapid battery-swap stations in cities would reduce the overall number of urban charging stations needed. Finally, we attach a handout for leaders who are attending an international energy summit, pointing out key factors that they should consider so as to realize all-electric cars and set a date to ban petroleum-powered cars.
- Subjects
ELECTRIC vehicle charging stations; TESLA Inc.; TECHNOLOGICAL innovations; NONLINEAR programming; GINI coefficient
- Publication
UMAP Journal, 2018, Vol 39, Issue 2, p127
- ISSN
0197-3622
- Publication type
Article