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Enhanced Flexible Algorithm for the Optimization of Slot Filling Factors in Electrical Machines

Author

Listed:
  • Armin Dietz

    (Technische Hochschule Nürnberg, Institut ELSYS, 90489 Nuremberg, Germany)

  • Antonino Oscar Di Tommaso

    (Dipartimento di Ingegneria, University of Palermo, viale delle Scienze, Parco d’Orleans, 90128 Palermo, Italy)

  • Fabrizio Marignetti

    (Department of electrical and Information Engineering (DIEI), University of Cassino and South Lazio, via. G. Di Biasio, 43, 03043 Cassino, Italy)

  • Rosario Miceli

    (Dipartimento di Ingegneria, University of Palermo, viale delle Scienze, Parco d’Orleans, 90128 Palermo, Italy)

  • Claudio Nevoloso

    (Dipartimento di Ingegneria, University of Palermo, viale delle Scienze, Parco d’Orleans, 90128 Palermo, Italy)

Abstract

The continuous development in the field of industrial automation and electric mobility has led to the need for more efficient electrical machines with a high power density. The improvement of electrical machines’ slot filling factors is one of the measures to satisfy these requirements. In recent years, this topic has aroused greater interest in the industrial sector, since the evolution of the winding technological manufacturing processes allows an economically sustainable realization of ordered winding arrangements, rather than random ones. Moreover, the manufacture of electrical machines’ windings must be preceded by an accurate design phase in which it is possible to evaluate the maximum slot filling factor obtainable for a given wire shape and for its dimensions. For this purpose, this paper presents an algorithmic approach for the evaluation of maximum slot filling factors in electrical machines under an ideal geometric premise. In particular, this algorithm has a greater degree of flexibility with respect to the algorithm approaches found in the literature, since the study has been extended to round, rectangular and hexagonal wire sections. Furthermore, the slot filling factor calculation was carried out both for standard and non-standard slots. The algorithmic approach proposed can be considered as an additional useful tool for the fast design of electrical machine windings.

Suggested Citation

  • Armin Dietz & Antonino Oscar Di Tommaso & Fabrizio Marignetti & Rosario Miceli & Claudio Nevoloso, 2020. "Enhanced Flexible Algorithm for the Optimization of Slot Filling Factors in Electrical Machines," Energies, MDPI, vol. 13(5), pages 1-21, February.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:5:p:1041-:d:325432
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    References listed on IDEAS

    as
    1. Yong-Min You, 2019. "Optimal Design of PMSM Based on Automated Finite Element Analysis and Metamodeling," Energies, MDPI, vol. 12(24), pages 1-18, December.
    2. Ambra Torreggiani & Claudio Bianchini & Matteo Davoli & Alberto Bellini, 2019. "Design for Reliability: The Case of Fractional-Slot Surface Permanent-Magnet Machines," Energies, MDPI, vol. 12(9), pages 1-18, May.
    3. Massimo Caruso & Antonino Oscar Di Tommaso & Fabrizio Marignetti & Rosario Miceli & Giuseppe Ricco Galluzzo, 2018. "A General Mathematical Formulation for Winding Layout Arrangement of Electrical Machines," Energies, MDPI, vol. 11(2), pages 1-24, February.
    4. Luming Cheng & Yi Sui & Ping Zheng & Zuosheng Yin & Chuanze Wang, 2018. "Influence of Stator MMF Harmonics on the Utilization of Reluctance Torque in Six-Phase PMA-SynRM with FSCW," Energies, MDPI, vol. 11(1), pages 1-17, January.
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