Location-Allocation of Electric Vehicle Fast Chargers—Research and Practice

Motoaki, Yutaka

doi:10.3390/wevj10010012

Cited by 28 publications

(11 citation statements)

References 32 publications

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“…It is generally accepted that a vast infrastructure of fast charging stations is needed to facilitate a full transition to electric mobility. As Motoaki [12] states, the question that remains is: "Where should we put charging stations?". So far, most studies used travel patterns from gasoline-driven vehicles and have assumed that charging stations should fulfil the same needs [13][14][15].…”

Section: Previous Workmentioning

confidence: 99%

Electric Vehicle Fast Charging Needs in Cities and along Corridors

Wolbertus

Hoed

2019

WEVJ

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Fast charging is seen as a means to facilitate long-distance driving for electric vehicles (EVs). As a result, roll-out planning generally takes a corridor approach. However, with higher penetration of electric vehicles in urban areas, cities contemplate whether inner-city fast chargers can be an alternative for the growing amount of slow public chargers. For this purpose, more knowledge is required in motives and preferences of users and actual usage patterns of fast chargers. Similarly, with increasing charging speeds of fast chargers and different modes (taxi, car sharing) also switching to electric vehicles, the effect of charging speed should be evaluated as well as preferences amongst different user groups. This research investigates the different intentions and motivations of EV drivers at fast charging stations to see how charging behaviour at such stations differs using both data analysis from charging stations as a survey among EV drivers. Additionally, it estimates the willingness of EV drivers to use fast charging as a substitute for on-street home charging given higher charging speeds. The paper concludes that limited charging speeds imply that EV drivers prefer parking and charging over fast charging but this could change if battery developments allow higher charging speeds.

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Section: Previous Workmentioning

confidence: 99%

Electric Vehicle Fast Charging Needs in Cities and along Corridors

Wolbertus

Hoed

2019

WEVJ

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“…A body of research has also emerged around modeling the density requirements for charging infrastructure [56,57] and analyzing users' behavior at fast charging stations in cities [58] to inform planners. The findings highlight the gap between planned infrastructure rollout and future user needs [59], as well as the importance of appropriate planning. Specifically, more data and knowledge is needed to assess the long-term costs and benefits associated with infrastructure build-out such as location, installation, operation, and long-term maintenance, as well as a discussion of successful models for charging infrastructure ownership and the regulatory changes needed to realize them.…”

Section: Grid-friendly Charging Infrastructure Is Key To Minimising Cmentioning

confidence: 95%

Smart EV Charging: A Global Review of Promising Practices

Hildermeier¹,

Kolokathis²,

Rosenow³

et al. 2019

WEVJ

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The electrification of transport in Europe is in the early stages of a market transformation that has the potential to significantly cut emissions in both the transportation and energy sectors, while generating wider benefits for society. The research underpinning this study finds that the greatest value from integrating electric vehicles (EVs) into the power grid can be generated by charging them when and where it is most beneficial for the power system, while ensuring consumers’ mobility needs are met at an affordable cost. An emerging body of research on electric vehicle grid integration focuses on modeling the cost of integration under various scenarios, but few studies look at the existing promising practices that are based on policy tools in use today. The authors of this study conducted a qualitative review of policies for EV grid integration in the EU and U.S. markets. We found that, in order to unlock the environmental and economic opportunities associated with market uptake, three policy strategies are most effective: costreflective pricing, intelligent technology, and integrated infrastructure planning. The study also explores the implications of these practices for policymakers and regulators in the EU.

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“…However, the availability of public charging station is one of the important hesitations to adopt EV. Therefore, the fast charging station is the greatest solution for the public charging infrastructure (Sadeghi-Barzani et al 2014;Motoaki 2019), which needs to be allocated optimally. The PFCS creates enormous load to the power system network which leads to huge power loss and makes the voltage profile weaken.…”

Section: Introductionmentioning

confidence: 99%

Allocation of EV Public Charging Station in Renewable based Distribution Network using HHO Considering Uncertainties and Traffic Congestion

Pal¹,

Bhattacharya²,

Chakraborty³

2021

Preprint

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Electric vehicle (EV) is the growing vehicular technology for sustainable development to reduce carbon emission and to save fossil fuel. The charging station (CS) is necessary at appropriate locations to facilitate the EV owners to charge their vehicle as well as to keep the distribution system parameters within permissible limits. Besides that, the selection of a charging station is also a significant task for the EV user to reduce battery energy wastage while reaching the EV charging station. This paper presents a realistic solution for the allocation of public fast-charging stations (PFCS) along with solar distributed generation (SDG). A 33 node radial distribution network is superimposed with the corresponding traffic network to allocate PFCSs and SDGs. Two interconnected stages of optimization are used in this work. The first part deals with the optimization of PFCS’s locations and SDG’s locations with sizes, to minimize the energy loss and to improve voltage profile using harris hawk optimization (HHO) and few other soft computing techniques. The second part handles the proper assignment of EVs to the PFCSs with less consumption of the EV’s energy considering the road distances with traffic congestion using linear programming (LP), where the shortest paths are decided by Dijkstra's algorithm. The 2m point estimation method (2m PEM) is employed to handle the uncertainties associated with EVs and SDGs. The robustness of solutions are tested using wilcoxon signed rank test and quade test.

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Location-Allocation of Electric Vehicle Fast Chargers—Research and Practice

Cited by 28 publications

References 32 publications

Electric Vehicle Fast Charging Needs in Cities and along Corridors

Electric Vehicle Fast Charging Needs in Cities and along Corridors

Smart EV Charging: A Global Review of Promising Practices

Allocation of EV Public Charging Station in Renewable based Distribution Network using HHO Considering Uncertainties and Traffic Congestion

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