A Fast Multi-Objective Trip Management Strategy for Electric Vehicles - Université d'Orléans Accéder directement au contenu
Communication Dans Un Congrès Année : 2023

A Fast Multi-Objective Trip Management Strategy for Electric Vehicles

Résumé

In this paper, an economic multi-objective trip management strategy for Electric Vehicles (EV) is presented. An appropriate traveling guide could improve the acceptance of electrified mobility since the decisions made during a long trip have a large impact on the performance of EVs. With this in mind, the definition of a user-oriented traveling strategy is formulated as an optimal control problem aiming at finding optimal trip plans based on a tunable criteria that captures the users' needs. Moreover, an improved Dynamic Programming algorithm with a computation time below 10 seconds is developed and the performance of the resulting strategy is evaluated in a case study. The results show an intuitive trade-off between the traveling time and the charging cost (or energy usage) objectives, where for example, 47 % of the charging expenses could be saved by taking 13 % more time to complete the trip.
Fichier non déposé

Dates et versions

hal-04485361 , version 1 (01-03-2024)

Identifiants

Citer

Luis Alfredo Wulf Ribelles, Guillaume Colin, A. Simon, Dominique Nelson Gruel, V. Jairazbhoy, et al.. A Fast Multi-Objective Trip Management Strategy for Electric Vehicles. 2023 IEEE Vehicle Power and Propulsion Conference (VPPC), Oct 2023, Milan, Italy. pp.1-6, ⟨10.1109/VPPC60535.2023.10403191⟩. ⟨hal-04485361⟩
3 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More