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

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Smart Applications and Data Analysis (SADASC 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1677))

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Abstract

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.

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Author information

Authors and Affiliations

  1. Pluridisciplinary Laboratory of Research and Innovation (LPRI), EMSI, Casablanca, Morocco

    Meryem Abid & Mohammed Tabaa

  2. Systems Engineering Laboratory (LGS), FST Beni Mellal, Beni Mellal, Morocco

    Meryem Abid & Hanaa Hachimi

Authors
  1. Meryem Abid
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  2. Mohammed Tabaa
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  3. Hanaa Hachimi
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Corresponding author

Correspondence to Meryem Abid .

Editor information

Editors and Affiliations

  1. University of Hassan II Casablanca, Casablanca, Morocco

    Mohamed Hamlich

  2. ISAE-ENSMA, Poitiers, France

    Ladjel Bellatreche

  3. Arts et Metiers Institute of Technology, Paris, France

    Ali Siadat

  4. University of Cordoba, Cordoba, Spain

    Sebastian Ventura

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Abid, M., Tabaa, M., Hachimi, H. (2022). Study of Path Optimization of an Electric Vehicle: Case of Morocco. In: Hamlich, M., Bellatreche, L., Siadat, A., Ventura, S. (eds) Smart Applications and Data Analysis. SADASC 2022. Communications in Computer and Information Science, vol 1677. Springer, Cham. https://doi.org/10.1007/978-3-031-20490-6_13

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  • DOI: https://doi.org/10.1007/978-3-031-20490-6_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-20489-0

  • Online ISBN: 978-3-031-20490-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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