Study of Path Optimization of an Electric Vehicle: Case of Morocco

• Published in: Smart Applications and Data Analysis pp. 158 - 170
• Main Authors: Abid, Meryem, Tabaa, Mohammed, Hachimi, Hanaa
• Format: Book Chapter
• Language: English
• Published: Cham Springer International Publishing
• Series: Communications in Computer and Information Science
• Subjects: Dijkstra; Electric vehicle; Optimization; Routing; Shortest path
• ISBN: 9783031204890; 3031204891
• ISSN: 1865-0929; 1865-0937
• DOI: 10.1007/978-3-031-20490-6_13

The vehicle manufacturers are racing to develop the ideal electric vehicle. These electric vehicles are often evaluated based on one factor: their driving range. Several countries started decades ago preparing for the switch towards electric vehicle by installing more and more charging stations, amongst other preparations. However, in Morocco, the electric vehicle market is still fertile. The number of charging stations available requires the use of vehicles with a more than basic driving range. Until the infrastructure for electric vehicles in Morocco is strong enough, we must find an optimal way to plan trips around the kingdom without the risk of draining the vehicles batteries. To this end, we will study the case of a trip between Tangier and Agadir using a Renault’s ZOE. The path planning will be done using Dijkstra algorithm along with a cost analysis. Results prove that the trip between the two cities is feasible with the least costs possible. Our study will be a base for further studies aiming to improve the electric vehicles’ infrastructure in Morocco and help encourage the switch towards electric vehicles.