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Design and Analysis of Advanced Nonoverlapping Winding Induction Machines for EV/HEV Applications

Author

Listed:
  • Tayfun Gundogdu

    (Department of Electronic and Electrical Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, UK
    Department of Electrical and Electronic Engineering, Zeynelbey Campus, Hakkari University, Keklikpinar, Pinarlar Cd., Hakkari 30000, Turkey)

  • Zi-Qiang Zhu

    (Department of Electronic and Electrical Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, UK)

  • Jean-Claude Mipo

    (Valeo Powertrain Electric Systems, CEDEX, 94017 Créteil, France)

Abstract

This paper presents a detailed analysis and design guidelines for advanced nonoverlapping winding induction machines (AIMs) with coil-pitch of two slot-pitches by considering some vital empirical rules and flux-weakening characteristics. The aim of the study is to develop a type of new winding and stator topology for induction machines (IMs) that will lead to a decrease in total axial length without sacrificing torque, power, and efficiency. The key performance characteristics of the improved AIMs are investigated by 2D time-stepping finite element analysis (FEA) and compared with those of IMs having fractional and conventional overlapping and nonoverlapping windings. Compared with the conventional overlapping winding counterpart of the AIM, a ~25% shorter axial length without sacrificing torque, output power, and efficiency is achieved. In addition, the influences of major design parameters, such as stator slot, rotor slot and pole numbers, stack length, number of turns per phase, machine geometric parameters, etc., on the flux-weakening characteristics are investigated. It has been concluded that the major design parameters have a considerable effect on the electromagnetic performance. However, among those parameters, the influences of pole number and stack length together with the number of turns on flux-weakening characteristics are significant.

Suggested Citation

  • Tayfun Gundogdu & Zi-Qiang Zhu & Jean-Claude Mipo, 2021. "Design and Analysis of Advanced Nonoverlapping Winding Induction Machines for EV/HEV Applications," Energies, MDPI, vol. 14(20), pages 1-33, October.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:20:p:6849-:d:660085
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    References listed on IDEAS

    as
    1. Mbika Muteba, 2021. "Optimization of Air Gap Length and Capacitive Auxiliary Winding in Three-Phase Induction Motors Based on a Genetic Algorithm," Energies, MDPI, vol. 14(15), pages 1-18, July.
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