Trip Optimization methods for Electric Vehicles Supported by Wireless

TL;DR

This paper explores advanced route optimization methods for electric vehicles, incorporating wireless recharging technology to enhance efficiency and address unique vehicle constraints.

Contribution

It introduces a novel model that integrates wireless recharging capabilities into electric vehicle routing optimization, improving upon existing models.

Findings

The proposed model outperforms traditional routing models in efficiency.

An algorithm is developed that effectively solves large-scale instances.

Computational experiments demonstrate the model's practical applicability.

Abstract

The ecological transition and the reduction of pollution are reasons for the use of green logistic and non-polluting vehicles. In this sense, electric vehicles are an alternative and in recent years many technological advances have been developed by the automotive industry in order to overcome the inherent difficulties in this type of vehicles. In parallel, the classic models and methods for optimizin vehicle routes have been adapted to obtain routings of electric vehicles considering their particular characteristics such as battery autonomy, shortage or recharging stations and elevated time of charge. In this paper, it is studied the optimization of routes taking into account the technological advance due to the possibility of attaching mobile energy diffusers to electric vehicles for recharging them. In this sense, it is developed a model that improves other existing models and, finally, it is also exposed an algorithm to efficiently solve large instances as our computational experience indicates.