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Improvement of the amplification gain for a propulsion drives of an electric vehicle with sensor voltage and mechanical speed control

  • Negadi, Karim (L2GEGI Laboratory, Department of Electrical Engineering, Faculty of Applied Science, University of Tiaret) ;
  • Boudiaf, Mohamed (Department of Electrical Engineering, Ziane Achour University of Djelfa) ;
  • Araria, Rabah (L2GEGI Laboratory, Department of Electrical Engineering, Faculty of Applied Science, University of Tiaret) ;
  • Hadji, Lazreg (Department of Mechanical Engineering, University of Tiaret)
  • Received : 2021.03.16
  • Accepted : 2022.01.27
  • Published : 2022.05.25

Abstract

In this paper, an electric vehicle drives with efficient control and low cost hardware using four quadrant DC converter with Permanent Magnet Direct Current (PMDC) motor fed by DC boost converter is presented. The main idea of this work is to improve the energy efficiency of the conversion chain of an electric vehicle by inserting a boost converter between the battery and the four quadrant-DC motor chopper assembly. Consequently, this method makes it possible to maintain the amplification gain of the 4 quadrant chopper constant regardless of the battery voltage drop and even in the presence of a fault in the battery. One of the most important control problems is control under heavy uncertainty conditions. The higher order sliding mode control technique is introduced for the adjustment of DC bus voltage and mechanical motor speed. To implement the proposed approach in the automotive field, experimental tests were carried out. The performances obtained show the usefulness of this system for a better energy management of an electric vehicle and an ideal control under different operating conditions and constraints, mostly at nominal operation, in the presence of a load torque, when reversing the direction of rotation of the motor speed and even in case of battery chamber failure. The whole system has been tested experimentally and its performance has been analyzed.

Keywords

Acknowledgement

The authors would like to acknowledge the financial support of the Algeria's Ministry of Higher Education and Scientific Research. This work was supported by L2GEGI laboratory at the University of Tiaret (Algeria) in collaboration with Department of automation and information, University of Cassino, Italy.

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