TY - JOUR
T1 - Optimizing Single-Inverter Electric Differential System for Electric Vehicle Propulsion Applications
AU - Moumni, Rachad
AU - Laroussi, Kouider
AU - Benlaloui, Idriss
AU - Mahmoud, Mohamed Metwally
AU - Elnaggar, Mohamed F.
N1 - Publisher Copyright:
© 2024, Association for Scientific Computing Electronics and Engineering (ASCEE). All rights reserved.
PY - 2024
Y1 - 2024
N2 - The increasing demand for electric vehicles (EVs) is driven by the urgent need for environmentally friendly transportation. This paper addresses the challenge of optimizing EV drivetrain efficiency by proposing a novel single-inverter electronic differential system for distributed EV drivetrains. The research focuses on reducing system cost and complexity while maintaining high performance. The methodology involves a detailed simulation using MATLAB/Simulink to validate the theoretical soundness of the proposed connection method. The results demonstrate that the proposed system achieves a minimum accuracy rate of 97.5%, marking a significant improvement over traditional dual-inverter systems. This approach not only enhances drivetrain efficiency but also contributes to more compact and cost-effective vehicle designs. Additionally, the findings underscore the potential for further refinement and exploration, suggesting that continued advancements in ED systems could lead to even greater performance gains in the future. This research lays the groundwork for future innovations in EV technology, particularly in the areas of cost reduction and system efficiency.
AB - The increasing demand for electric vehicles (EVs) is driven by the urgent need for environmentally friendly transportation. This paper addresses the challenge of optimizing EV drivetrain efficiency by proposing a novel single-inverter electronic differential system for distributed EV drivetrains. The research focuses on reducing system cost and complexity while maintaining high performance. The methodology involves a detailed simulation using MATLAB/Simulink to validate the theoretical soundness of the proposed connection method. The results demonstrate that the proposed system achieves a minimum accuracy rate of 97.5%, marking a significant improvement over traditional dual-inverter systems. This approach not only enhances drivetrain efficiency but also contributes to more compact and cost-effective vehicle designs. Additionally, the findings underscore the potential for further refinement and exploration, suggesting that continued advancements in ED systems could lead to even greater performance gains in the future. This research lays the groundwork for future innovations in EV technology, particularly in the areas of cost reduction and system efficiency.
KW - Clean Energy
KW - Distributed EV Drivetrain
KW - Electric Differential
KW - Electrical Vehicle
KW - Mechanical Differential
KW - Single Inverter
KW - Traction Control
UR - http://www.scopus.com/inward/record.url?scp=85210848928&partnerID=8YFLogxK
U2 - 10.31763/ijrcs.v4i4.1542
DO - 10.31763/ijrcs.v4i4.1542
M3 - Article
AN - SCOPUS:85210848928
SN - 2775-2658
VL - 4
SP - 1772
EP - 1793
JO - International Journal of Robotics and Control Systems
JF - International Journal of Robotics and Control Systems
IS - 4
ER -