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<p> Energy consumption and driving efficiency are directly impacted by the traction motor’s properties and the total mass of the vehicle, which have a significant impact on the performance of electric vehicles. In this study, the functioning of an optimization algorithms of the proposed IFOC of IM was simulated using the MATLAB/Simulink environment, and its effects on the performance of electric vehicles and the subsequent energy usage were examined. MATLAB/Simulink was chosen because of its robust dynamic system modeling capabilities, adaptability in integrating various vehicle subsystems, and effectiveness in producing precise simulation results. The electric motor, powertrain, and vehicle dynamics were all included in the development of a complete electric vehicle model. Three distinct vehicle weights 700&#xa0;kg, 1000&#xa0;kg, and 1200&#xa0;kg, were simulated in order to assess the impact of vehicle mass on performance and energy consumption. Under the same driving circumstances, key performance metrics like vehicle speed response, motor torque, power demand, and energy consumption were examined and contrasted. The findings illustrate the significance of vehicle weight minimization in electric vehicle design by showing that an increase in vehicle mass results in increased energy consumption and decreased overall performance. The created simulation model can be used to facilitate the design and improvement of energy-efficient electric propulsion systems and offers a useful tool for evaluating the performance of electric vehicles.</p>

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Optimization algorithms of the proposed IFOC of induction motor for electric vehicles

  • 期刊论文

  • 发表日期：

    2026年4月20日

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  • Mohamed A. Mosbah,
  • Sayed Saad Mohamed Saleh,
  • Hamdy Abo El Daheb

摘要

Energy consumption and driving efficiency are directly impacted by the traction motor’s properties and the total mass of the vehicle, which have a significant impact on the performance of electric vehicles. In this study, the functioning of an optimization algorithms of the proposed IFOC of IM was simulated using the MATLAB/Simulink environment, and its effects on the performance of electric vehicles and the subsequent energy usage were examined. MATLAB/Simulink was chosen because of its robust dynamic system modeling capabilities, adaptability in integrating various vehicle subsystems, and effectiveness in producing precise simulation results. The electric motor, powertrain, and vehicle dynamics were all included in the development of a complete electric vehicle model. Three distinct vehicle weights 700 kg, 1000 kg, and 1200 kg, were simulated in order to assess the impact of vehicle mass on performance and energy consumption. Under the same driving circumstances, key performance metrics like vehicle speed response, motor torque, power demand, and energy consumption were examined and contrasted. The findings illustrate the significance of vehicle weight minimization in electric vehicle design by showing that an increase in vehicle mass results in increased energy consumption and decreased overall performance. The created simulation model can be used to facilitate the design and improvement of energy-efficient electric propulsion systems and offers a useful tool for evaluating the performance of electric vehicles.