Luca Argiolas
Cluster-based approach for route planning optimization of electric vehicles.
Rel. Angelo Bonfitto. Politecnico di Torino, Corso di laurea magistrale in Automotive Engineering (Ingegneria Dell'Autoveicolo), 2023
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Abstract
This Master's Thesis presents a comprehensive exploration of a project aimed at enhancing minimum travel time path research algorithms for electric vehicles. The algorithm used for defining the minimum travel time path is Dijkstra's algorithm, which is implemented on a cost matrix constructed by assigning a specific recharging station within a map to each column and row. The value contained in each cell is the sum of the travel time taken from the station connected to the column to the station connected to the row, to which is added the recharging time required to restore the battery to its initial charge level.
The first part of this project focuses on constructing a vehicle and battery recharging model to ensure compliance with the vehicle's range limits, as well as accurately modeling the battery recharging profile for better evaluation of recharging time
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