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Power Quality Improvement of Hybrid Electric Vehicle Using Robust Feed Forward Neural Network Control Strategy
  • S. Dineshkumar,
  • * NSENTHILNATHAN
S. Dineshkumar
M Kumarasamy College of Engineering

Corresponding Author:[email protected]

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* NSENTHILNATHAN
Kongu Engineering College
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Abstract

Future development in vehicle design only becomes necessary if environmental concerns take priority and an electric powertrain is feasible. The Hybrid Vehicle is introduced in this work to meet the vehicle's never-ending fuel requirement. A hybrid car, in general, has both an internal combustion engine and an electric power system. The electrical system's accuracy and efficiency significantly impact the vehicle's performance. This researcher focused on the hybrid electric vehicle's powertrain electrical system, which included a fuel cell, a battery, and a solar panel. The Simulink model has been developed and simulated successfully. The Simulink model employs a permanent magnet synchronous motor drive mechanism. The simulation results are compared to state-of-the-art approaches in terms of rotor speed, electromagnetic torque, current, DC-DC converter current and voltage, state of charge, grid charger performance, solar panel performance, and mechanical torque. Furthermore, the performance of the energy storage system was compared to a standard commonly used in hybrid electric car electrical systems in this study.