Published 2019
| Version v1
Publication
Optimal Charging and Routing of Electric Vehicles
Creators
Contributors
Description
At international level different new policies have been developed to reduce greenhouse
gas emissions in the atmosphere. The result is an increase of green technologies for energy
production and transportation. Electric vehicles (EVs) need to be charged in the fastest time
possible and smart grids should afford such a request. Moreover, new technologies of charging
stations and EVs give now the possibility to perform Smart Charging (i.e., the modulation
over time of EVs' charging) and Vehicle to Grid policies. In the present paper, attention is
focused on users' perspective, on the basis of an available infrastructure of charging stations of
known location, type, and electrical constraints. In particular, the problem is the one of optimal
routing and charging of EVs to satisfy a freight transportation service, and it corresponds to
a modification of the well known vehicle routing problem (VRP). Though the interest on EVs
has grown in the last decade, scientific articles are mainly focused on smart grids and on the
mitigation of a distributed demand of energy (Yagcitekin et al. (2016), Ferro et al. (2019)).
Few articles regarding the routing of EVs are present, and they are starting to appear in the
recent literature (Hiermann et al. (2016)). This is the reason why formalizations differ from
each other, several variants have been considered, and authors focused on specific objectives
and do not consider other ones. In the present contribution, the following new features are
considered: the characteristics of the charging stations have been detailed considering different
power levels for the recharging process; models for the electrical consumes take into account
the territory characteristics (slope of roads), the variable vehicle mass, different speeds, and
the electric drive efficiency; time windows, classical VRP constraints, partial recharges, and
time-variant energy prices have been included.
Additional details
Identifiers
- URL
- http://hdl.handle.net/11567/1066354
- URN
- urn:oai:iris.unige.it:11567/1066354
Origin repository
- Origin repository
- UNIGE