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Journal ArticleDOI

The battery charging station location problem: Impact of users’ range anxiety and distance convenience

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TLDR
This study examines the battery charging station location problem, considering users’ range anxiety and distance deviations, two major barriers to the mass adoption of EV.
Abstract
Key to the mass adoption of electric vehicles (EV) is establishing a sufficient recharging infrastructure network, based on customer behavior and psychology. This study examines the battery charging station location problem, considering users’ range anxiety and distance deviations, two major barriers to the mass adoption of EV. The problem is formulated as a bi-level integer programming model based on a range anxiety function. Then, the problem is solved using an adaptive large-neighborhood search, combined with a k-shortest path algorithm and an iterative greedy heuristic. Finally, the effects of parameters are analyzed in the context of a real-world road network.

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Citations
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Journal ArticleDOI

Technology development of electric vehicles: A review

TL;DR: In this article, the authors provide a comprehensive review of the technical development of EVs and emerging technologies for their future application, including batteries, charging technology, electric motors and control, and charging infrastructure of EVs.
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Real-world study for the optimal charging of electric vehicles

TL;DR: In this article, the authors quantitatively analyzes the energy losses that take place during the charging of a battery electric vehicle (BEV), focusing especially in the previously unexplored 80% -100% State of Charge (SoC) area.
Journal ArticleDOI

Mitigate the range anxiety: Siting battery charging stations for electric vehicle drivers

TL;DR: A compact mixed-integer nonlinear programming model is first developed for the location problem of electric vehicle charging stations considering drivers’ range anxiety and path deviation and an efficient outer-approximation method is proposed to obtain the e-optimal solution.
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Optimal Siting of Electric Vehicle Charging Stations Using Pythagorean Fuzzy VIKOR Approach

TL;DR: A Pythagorean fuzzy VIKOR (PF-VIKOR) approach is developed for solving the EVCS site selection problems, in which the evaluations of alternatives are given as linguistic terms characterized by Pythagorian fuzzy values (PFVs).
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A four-step method for electric-vehicle charging facility deployment in a dense city: An empirical study in Singapore

TL;DR: A four-step method to deploy normal and fast charging stations that can satisfy the charging demand of private EVs, 1-shift and 2-shift EV taxis in a mature city is proposed.
References
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Journal ArticleDOI

A note on two problems in connexion with graphs

TL;DR: A tree is a graph with one and only one path between every two nodes, where at least one path exists between any two nodes and the length of each branch is given.
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Finding the K Shortest Loopless Paths in a Network

Jin Y. Yen
- 01 Jul 1971 - 
TL;DR: The significance of the new algorithm is that its computational upper bound increases only linearly with the value of K, so it is extremely efficient as compared with the algorithms proposed by Bock, Kantner, and Haynes and others.
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A simple and effective evolutionary algorithm for the vehicle routing problem

TL;DR: A GA without trip delimiters, hybridized with a local search procedure is proposed, which outperforms most published TS heuristics on the 14 classical Christofides instances and becomes the best solution method for the 20 large-scale instances generated by Golden et al.
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An efficient approach to solving the road network equilibrium traffic assignment problem

TL;DR: In this article, the authors present a solution technique for large scale road network equilibrium assignment and related flow problems with nonlinear costs, without explicitly considering any of the constraints, and without storing all of the individual decision variables.
Journal ArticleDOI

The flow-refueling location problem for alternative-fuel vehicles

TL;DR: A mixed-integer programming formulation for the nodes-only version of the problem, as well as an algorithm for determining all combinations of nodes that can refuel a given path, are presented.
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