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Published February 28, 2022 | Version CC BY-NC-ND 4.0
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Torque Ripple Minimization of SRM for Electric Vehicle Applications

Creators

  • 1. Ph.D. Scholar, Department of Electrical Engineering, College of Engineering & Management, Amravati (Maharashtra), India.
  • 2. Professor, Department of Electrical Engineering, College of Engineering & Management, Amravati (Maharashtra), India.

Contributors

Contact person:

  • 1. Ph.D. Scholar, Department of Electrical Engineering, College of Engineering & Management, Amravati (Maharashtra), India.

Description

Abstract: The shortage of energy and environmental pollution are considered as relevant problems due to the high amount of automotive vehicles with internal combustion engines. Electric vehicles (EV) are one of the solutions to localize the energy source and best choice for saving energy and provide zero emission vehicles. The key component of the Electric vehicles is the electric motor and, therefore, its choice is important. Many types of electric motors have been analyzed during last decades and evaluated for EVs. Switched reluctance motors (SRM) have a number of advantages in contrast with other electric motors due to their simple construction, flexibility of control, high efficiency, lower cost and robustness to run under failure conditions. The SRM rotor does not have any windings or permanent magnets, being suitable for very high speed drive application. The switched reluctance motors drives (SRDs) necessitate more advanced control technology than DC and AC motors drives. High torque ripple, acoustic noise and vibrations are the major drawbacks of the SRM. So to decrease the torque ripple and improve the electric efficiency is the main objective and can be achieved by optimization policy.

Notes

Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) © Copyright: All rights reserved.

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Journal article: 2249-8958 (ISSN)

References

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Subjects

ISSN: 2249-8958 (Online)
https://portal.issn.org/resource/ISSN/2249-8958#
Retrieval Number: 100.1/ijeat.C33640211322
https://www.ijeat.org/portfolio-item/C33640211322/
Journal Website: www.ijeat.org
https://www.ijeat.org
Publisher: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP)
https://www.blueeyesintelligence.org