Secure Optimal Itinerary Planning for Electric Vehicles in the Smart Grid - Archive ouverte HAL Access content directly
Journal Articles IEEE Transactions on Industrial Informatics Year : 2017

Secure Optimal Itinerary Planning for Electric Vehicles in the Smart Grid

(1) , (1) , (2)
1
2
Soumaya Cherkaoui
  • Function : Author
  • PersonId : 831946
Lyes Khoukhi

Abstract

Although the number of electric vehicles (EVs) on the road has been steadily increasing in the last few years, the problems of autonomy and limited driving range of EVs still represent a big challenge for automotive industry. In this paper, we first propose a secure architecture where EVs and the smart grid exchange information for itinerary planning and charging time-slots' reservations at charging stations. The architecture ensures privacy, and includes authentication and authorization in order to secure EVs sensitive information. Second, we introduce a new scheme for EV itinerary planning, which takes into account the state-of-charge of the EV, its destination, and available charging stations on the road. The scheme minimizes the waiting time of the EV and its overall energy consumption to attain destination. MATLAB and CPLEX simulations were performed to show the performance of our proposed scheme. Simulation proved that our model is able to optimize paths in terms of energy consumption and waiting time.
Not file

Dates and versions

hal-02274712 , version 1 (30-08-2019)

Identifiers

Cite

Achraf Bourass, Soumaya Cherkaoui, Lyes Khoukhi. Secure Optimal Itinerary Planning for Electric Vehicles in the Smart Grid. IEEE Transactions on Industrial Informatics, 2017, 13 (6), pp.3236-3245. ⟨10.1109/TII.2017.2741347⟩. ⟨hal-02274712⟩
22 View
0 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More