Improving Electric Vehicle Autonomy in the Smart City Concept

Authors

  • Ahmed Saad Eddine Souissi Department of Industrial Engineering, College of Engineering, Northern Border University, Saudi Arabia
  • Habib Kraiem Department of Electrical Engineering, College of Engineering, Northern Border University, Saudi Arabia | Processes, Energy, Environment and Electrical Systems (Code: LR18ES34), National Engineering School of Gabes, University of Gabes, Tunisia
  • Aymen Flah Processes, Energy, Environment, and Electrical Systems (code: LR18ES34), National Engineering School of Gabes, University of Gabes, Tunisia | MEU Research Unit, Middle East University, Amman, Jordan | College of Engineering, University of Business and Technology (UBT), Jeddah 21448, Saudi Arabia | Private Higher School of Applied Sciences and Technologies of Gabes, University of Gabes, Tunisia | Applied Science Research Center, Applied Science Private University, Amman, 11931, Jordan
  • Amjad El Madani Department of Industrial Engineering, College of Engineering, Northern Border University, Saudi Arabia
Volume: 14 | Issue: 2 | Pages: 13299-13304 | April 2024 | https://doi.org/10.48084/etasr.6941

Abstract

Organizing automobiles in a city is challenging due to the sensitive data that need to be disclosed. Information that can be utilized to identify a car and provide some useful characteristics about it is among the large amount of data that can be collected from an automobile. This operation will be easier if the vehicles are placed on a specific platform based on the smart city concept. Even if sensors and cameras are installed around the roads and the city, having the vehicle information will be more useful. The current study tries to demonstrate how it is feasible to improve vehicle autonomy by initially enhancing the vehicle's energetic performance, based on the smart city idea. Intelligent control topology serves as the foundation for the exposed energy management protocol. The suggested concept is created and the associated results are displayed using the Matlab Simulink platform.

Keywords:

electric vehicle, power managment, communication, smart city, optimization, neural networks, drive cycle mode

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How to Cite

[1]
A. S. E. Souissi, H. Kraiem, A. Flah, and A. El Madani, “Improving Electric Vehicle Autonomy in the Smart City Concept”, Eng. Technol. Appl. Sci. Res., vol. 14, no. 2, pp. 13299–13304, Apr. 2024.

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