| Issue |
EPJ Web Conf.
Volume 371, 2026
9th International Congress on Thermal Sciences (AMT’2026)
|
|
|---|---|---|
| Article Number | 03008 | |
| Number of page(s) | 15 | |
| Section | Renewable Energy and Clean Technologies | |
| DOI | https://doi.org/10.1051/epjconf/202637103008 | |
| Published online | 22 May 2026 | |
https://doi.org/10.1051/epjconf/202637103008
Dynamic Modeling and Performance Analysis of Electric Vehicles under Variable Driving Scenarios
1 Engineering Sciences and Applications Laboratory (LSIA), National School of Applied Sciences of Al Hoceima (ENSAH), Abdelmalek Essaadi University, Tetouan, Morocco.
2 Engineering Sciences and Applications Laboratory (LSIA), Higher School of Technology of Nador (EST Nador), Mohammed First University, Oujda, Morocco.
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 22 May 2026
Abstract
This study presents a dynamic modeling and performance analysis of three electric vehicles (Renault ZOE, Volkswagen ID.3, and Peugeot e-208) developed and simulated using MATLAB/Simulink. Three driving scenarios are investigated: constant-speed operation on flat and inclined roads, tracking of the FTP-75 driving cycle, and a multi-segment trajectory involving successive road slope and direction variations. The resulting analysis provides a rigorous comparative assessment of vehicle speed-tracking accuracy, dynamic behavior, and energy consumption, offering valuable insights into the influence of driving conditions on overall vehicle performance and energy efficiency.
Key words: Electric Vehicle / Vehicle Dynamics / Constant Speed Tracking / Driving cycles / MATLAB Simulink
© The Authors, published by EDP Sciences, 2026
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