Multi-criteria electric vehicle routing planning
Hongrun Zhu
Multi-criteria electric vehicle routing planning.
Rel. Angelo Bonfitto. Politecnico di Torino, Corso di laurea magistrale in Automotive Engineering (Ingegneria Dell'Autoveicolo), 2023
|
Preview |
PDF (Tesi_di_laurea)
- Tesi
Licenza: Creative Commons Attribution Non-commercial No Derivatives. Download (5MB) | Preview |
|
|
Archive (ZIP) (Documenti_allegati)
- Altro
Licenza: Creative Commons Attribution Non-commercial No Derivatives. Download (134MB) |
Abstract
EV route planning are widely studied recent days, the key problem is always how to deal with the different criteria. Drivers may choose the shortest travel time or prefer to charge at a cheaper charging station, or even worse (for the planner), at first half of the journey choosing the shortest travel time and at the other half, when almost run out of battery, when to the cheapest charging stations nearby. This requires the planner to not only fully consider each criterion, but also be able to quickly make plans. A common approach is to use a Dijkstra's algorithm with a Pareto set.
Obviously, as the size of the map increases and the criteria considered increase, the resulting Pareto set will become unmanageable
Tipo di pubblicazione
URI
![]() |
Modifica (riservato agli operatori) |
