Electric vehicle (EV) limited range is a serious concern for its wide scale commercialization. Dynamic battery charging is being developed as a promising technology for increasing the range, vehicles are charged through inductive points placed in the net. The choice of a proper navigation route becomes essential, and algorithms must be identified for a run time identification of the better path. In this paper, we propose and explore the application of the particle swarm optimization (PSO) algorithm to solve the problem of energy efficient routing problem for inductive dynamic charging EVs. The paper presents the results obtained in a simple simulation of a road network with 11 dynamic charging inductive lanes.

Exploring particle swarm optimization to build a dynamic charging electric vehicle routing algorithm

Smiai, Oussama;Bellotti, Francesco;Berta, Riccardo;De Gloria, Alessandro
2019

Abstract

Electric vehicle (EV) limited range is a serious concern for its wide scale commercialization. Dynamic battery charging is being developed as a promising technology for increasing the range, vehicles are charged through inductive points placed in the net. The choice of a proper navigation route becomes essential, and algorithms must be identified for a run time identification of the better path. In this paper, we propose and explore the application of the particle swarm optimization (PSO) algorithm to solve the problem of energy efficient routing problem for inductive dynamic charging EVs. The paper presents the results obtained in a simple simulation of a road network with 11 dynamic charging inductive lanes.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/924010
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