Optimal Allocation of Electric Vehicle Investment Based on Coupling Decision of Investment Return and User Utility

2022 ◽  
pp. 585-590
Author(s):  
Haiyan Zeng ◽  
Yan Chen ◽  
Wei Li ◽  
Yu Wang ◽  
Qiang Fu
Keyword(s):  
Electric Vehicle ◽  
Optimal Allocation ◽  
Investment Return

Optimal allocation of electric vehicle charging stations in a highway network: Part 2. The Italian case study

2019 ◽  
Vol 26 ◽  
pp. 101015 ◽  
Author(s):  
Giuseppe Napoli ◽  
Antonio Polimeni ◽  
Salvatore Micari ◽  
Giorgio Dispenza ◽  
Vincenzo Antonucci
Keyword(s):  
Electric Vehicle ◽  
Optimal Allocation ◽  
Electric Vehicle Charging ◽  
Italian Case ◽  
Highway Network ◽  
Vehicle Charging ◽  
Charging Stations

scholarly journals Optimal Allocation of Changing Station for Electric Vehicle Based on Queuing Theory

2016 ◽  
Vol 28 (5) ◽  
pp. 497-505 ◽  
Author(s):  
Yagang Zhang ◽  
Dingli Qi ◽  
Wei Jiang ◽  
Shuang Lei
Keyword(s):  
Electric Vehicle ◽  
Queuing Theory ◽  
Optimal Allocation ◽  
Electricity Consumption ◽  
Optimal Number ◽  
Power Station ◽  
Charging Station ◽  
New Construction ◽  
Optimum Plan ◽  
Planning And Construction

Electric vehicle as the main development direction of the future automotive industry, has gained attention worldwide. The rationality of the planning and construction of the power station, as the foundation of energy supply, is an important premise for the development of electric vehicles. In full consideration of the electric demand and electricity consumption, this paper proposes a new construction mode in which charging station and centralized charging station are appropriately combined and presents a location optimization model. Not only can this model be applied to determine the appropriate location for the power station, but it can use the queuing theory to determine the optimal number of power equipment, with which we can achieve the minimum costs. Finally, taking a certain city as an example, the optimum plan for power station is calculated by using this model, which provides an important reference for the study of electric vehicle infrastructure planning.

Research on optimal allocation of off-grid electric vehicle charging station

2021 ◽  
Author(s):  
Weiqi Zhang ◽  
Qian Wang ◽  
Yanxia Ma ◽  
Zhao Yang ◽  
Tao Shi
Keyword(s):  
Electric Vehicle ◽  
Optimal Allocation ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Vehicle Charging

Optimal Plug-in Hybrid Electric Vehicle Design and Allocation for Diverse Charging Patterns

2009 ◽  
Author(s):  
Nikhil Kaushal ◽  
Ching-Shin Norman Shiau ◽  
Jeremy J. Michalek
Keyword(s):  
Greenhouse Gas ◽  
Fuel Consumption ◽  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Optimal Allocation ◽  
Operating Cost ◽  
Ghg Emissions ◽  
The United States ◽  
Large Capacity ◽  
Hybrid Electric

Plug-in hybrid electric vehicle (PHEVs) technology has the potential to address economic, environmental, and national security concerns in the United States by reducing operating cost, greenhouse gas (GHG) emissions and petroleum consumption. However, the net implications of PHEVs depend critically on the distances they are driven between charges: Urban drivers with short commutes who can charge frequently may benefit economically from PHEVs while also reducing fuel consumption and GHG emissions, but drivers who cannot charge frequently are unlikely to make up the cost of large PHEV battery packs with future fuel cost savings. We construct an optimization model to determine the optimal PHEV design and optimal allocation of PHEVs, hybrid-electric vehicles (HEVs) and conventional vehicles (CVs) to drivers in order to minimize net cost, fuel consumption, and GHG emissions. We use data from the 2001 National Household Transportation Survey to estimate the distribution of distance driven per day across vehicles. We find that (1) minimum fuel consumption is achieved by assigning large capacity PHEVs to all drivers; (2) minimum cost is achieved by assigning small capacity PHEVs to all drivers; and (3) minimum greenhouse gas emissions is achieved by assigning medium-capacity PHEVs to drivers who can charge frequently and large-capacity PHEVs to drivers who charge less frequently.

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