A general corridor model for designing plug-in electric vehicle charging infrastructure to support intercity travel

Ghamami, Mehrnaz; Zockaie, Ali; Nie, Yu

doi:10.1016/j.trc.2016.04.016

Cited by 105 publications

(51 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In addition, the availability of alternative fuel refuelling stations is very limited. However, as pointed out by Zockaie et al (2016), the model is also applicable to the location of conventional refuelling stations in developing countries where infrastructure is as yet lacking. Likewise, it can be applicable to territories with sparse population (and hence sparse refuelling infrastructure).…”

Section: The Flow-refuelling Location Modelmentioning

confidence: 99%

An efficient heuristic algorithm for the alternative-fuel station location problem

Tran

Nagy

Nguyen

et al. 2018

European Journal of Operational Research

View full text Add to dashboard Cite

We have developed an efficient heuristic algorithm for location of alternative-fuel stations. The algorithm is constructed based on solving the sequence of subproblems restricted on a set of promising station candidates, and fixing a number of the best promising station locations. The set of candidates is initially determined by solving a relaxation model, and then modified by exchanging some stations between the promising candidate set and the remaining station set. A number of the best station candidates in the promising candidate set can be fixed to improve computation time. In addition, a parallel computing strategy is integrated into solving simultaneously the set of subproblems to speed up computation time. Experimental results carried out on the benchmark instances show that our algorithm outperforms genetic algorithm and greedy algorithm. As compared with CPLEX solver, our algorithm can obtain all the optimal solutions on the tested instances with less computation time.

show abstract

Section: The Flow-refuelling Location Modelmentioning

confidence: 99%

An efficient heuristic algorithm for the alternative-fuel station location problem

Tran

Nagy

Nguyen

et al. 2018

European Journal of Operational Research

View full text Add to dashboard Cite

show abstract

“…To analyse its effectiveness, the paper applied this strategy to quick CSs where there are multiple types of EVs and high traffic inflow. In fact, the size of EV traffic inflow is relative to the size of total CS capacity [3,4]. When the traffic inflow is known, EV traffic inflow is greater and increases as the total CS capacity decreases.…”

Section: Parameter Settings Of Csmentioning

confidence: 99%

“…Currently, electric vehicles (EV), as a kind of low-carbon and environmentally friendly mode of transport, have become a research focus [1,2] of concern to many national governments, vehicle manufacturers, and energy enterprises. With large-scale popularisation of EVs, charging stations (CS) constructed on highways will provide favourable conditions for long-distance driving of EVs [3,4]. Limitations in charging time for EVs, which can affect the convenience of EV charging, are mainly caused by the constraints of the power level of charging facilities [5] and acceptable charging profile of EV batteries [6,7].…”

Section: Introductionmentioning

confidence: 99%

Study of a New Quick-Charging Strategy for Electric Vehicles in Highway Charging Stations

et al. 2016

View full text Add to dashboard Cite

Abstract:To solve the problem, because of which conventional quick-charging strategies (CQCS) cannot meet the requirements of quick-charging for multiple types of electric vehicles (EV) on highways where vehicle inflow is excessive, this paper proposed a new quick-charging strategy (NQCS) for EVs: on the premise of not affecting those EVs being charged, the remaining power of the quick-charging pile with multiple power output interfaces is used to provide a synchronous charging service for EVs waiting in the queue. To verify the effectiveness of this strategy, a power distribution model of charging pile and a queuing model of charging station (CS) were constructed. In addition, based on an actual highway service area where vehicle inflow is excessive during the simulation period (0:00-24:00), charging situations of CQCS and NQCS were respectively simulated in a charging station (CS), with different number of chargers, by basic queuing algorithm and an improved queuing algorithm. The simulation results showed that when the relative EV inflow is excessive, compared to CQCS, NQCS not only can reduce user waiting time, charging time, and stay time, but also can improve the utilisation rate of charging infrastructure and service capacity of CS and reduce the queue length of CS. At the same time, NQCS can reduce the impact on the power grid. In addition, in NQCS, the on-demand power distribution method is more efficient than the average power distribution method. Therefore, NQCS is more suitable for quick-charging for multiple types of EVs on highways where vehicle inflow is excessive.

show abstract

“…The aim is to minimise the total cost of battery manufacturing and of charging facility construction. Later works by the authors also take into account charging delays [21]. In another article, charging lanes and stations were compared using a traffic corridor based approach [22].…”

Section: Introductionmentioning

confidence: 99%

A Corridor-Based Approach to Estimating the Costs of Electric Vehicle Charging Infrastructure on Highways

Suomalainen

Colet

2019

WEVJ

View full text Add to dashboard Cite

One of the barriers holding back the large-scale development of electric vehicles is underdeveloped charging infrastructure. The optimal location of charging stations has received much attention, whereas the development of charging infrastructure over time and its economic implications remain a less explored topic, especially in the context of dynamic inductive charging. This work compares the infrastructure costs for two electric vehicle charging solutions deployed on highways: fast-charging stations and a dynamic charging lane based on wireless inductive charging technology. The deployment costs are estimated using a simplified infrastructure model for a highway corridor. The model first defines the required charging capacity based on projected future demand, sizes the charging infrastructure, and then determines the related costs, revenues, and net present value. A numerical example based on the French highway context is also presented. The results show that the payback period is much longer for dynamic charging lanes that for charging stations. In addition, the charging lane infrastructure cannot be installed gradually over time but requires a major investment from the start while bringing in little revenue early on.

show abstract

A general corridor model for designing plug-in electric vehicle charging infrastructure to support intercity travel

Cited by 105 publications

References 33 publications

An efficient heuristic algorithm for the alternative-fuel station location problem

An efficient heuristic algorithm for the alternative-fuel station location problem

Study of a New Quick-Charging Strategy for Electric Vehicles in Highway Charging Stations

A Corridor-Based Approach to Estimating the Costs of Electric Vehicle Charging Infrastructure on Highways

Contact Info

Product

Resources

About