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Development of a Magnetic Circuit Model-Based Integrated Design Methodology for Next-Generation High-Performance Multiple Integrated Motors

Research Project

Project/Area Number 21K20427
Research Category

Grant-in-Aid for Research Activity Start-up

Allocation TypeMulti-year Fund
Review Section 0302:Electrical and electronic engineering and related fields
Research InstitutionNagaoka University of Technology

Principal Investigator

Hidaka Yuki  長岡技術科学大学, 工学研究科, 准教授 (30908398)

Project Period (FY) 2021-08-30 – 2023-03-31
Project Status Completed (Fiscal Year 2022)
Budget Amount *help
¥3,120,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥720,000)
Fiscal Year 2022: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2021: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Keywords磁気回路 / 組合せ最適化 / 巻線界磁モータ / 永久磁石モータ / 複数統合型モータ / 統合設計法
Outline of Research at the Start

本研究では、例えば巻線界磁モータと永久磁石モータのように、性能・構造が異なる2つ以上のモータを、長所を生かしたまま1つのモータに統合する、磁気回路モデルベース統合設計手法を開発する。本研究により、例えば電気自動車用モータにおいて、市街地走行時の高い電費と、高速走行時の加速性能の両立など、これまでにない性能が実現できる。また、1つのモータで2つ以上のモータ特性を持つ、複数統合型モータの構造概念を確立することで、従来の範疇にない新たな設計知見獲得と、モータ性能の飛躍的向上を目指す。

Outline of Final Research Achievements

In this study, we proposed an optimal design method to realize a multi-integrated motor with the characteristics of two completely different motors, such as a wire-wound field motor and a permanent magnet motor, with the aim of dramatically improving the performance of motors for electric vehicles. In the conventional optimal design method, the obtained solution strongly depends on the initial structure. For example, when a permanent magnet motor is used as a base and the function of a wire-wound field motor is added, the characteristics of the wire-wound field motor are weak. Therefore, we proposed a magnetic circuit modeling method that describes magnetic characteristics based on mathematical equations, and showed its effectiveness. We also proposed a combinational optimization method for integrated design based on the modeling method. The performance improvement of the proposed optimal design method over the conventional design method was confirmed by numerical verification.

Academic Significance and Societal Importance of the Research Achievements

本研究成果により、初期構造に強く依存する従来の最適設計法では得られなかった、複数のモータ長所を備えたモータ構造を獲得できる。例えば、電気自動車では、巻線界磁モータの高い電費と、永久磁石モータの加速性能を両立でき、電気自動車用モータの世界標準化に貢献する。また、電気自動車に限らず、トレードオフ関係にある磁気特性を要求する、様々な電気機器器で、提案設計法を用いることで大幅な機器性能の改善が実電できる。

Report

(3 results)
  • 2022 Annual Research Report   Final Research Report ( PDF )
  • 2021 Research-status Report
  • Research Products

    (10 results)

All 2022 2021

All Journal Article (4 results) (of which Peer Reviewed: 4 results,  Open Access: 2 results) Presentation (6 results) (of which Int'l Joint Research: 3 results)

  • [Journal Article] Multimaterial Topology Optimization Method Based on Global Search by Combinatorial Optimization and Local Search by Variable Design Region Method2022

    • Author(s)
      Hidaka Yuki
    • Journal Title

      IEEE Access

      Volume: 10 Pages: 62450-62458

    • DOI

      10.1109/access.2022.3182502

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] A novel multi-material topology optimization method for permanent magnet assisted synchronous reluctance motors2022

    • Author(s)
      Hidaka Yuki
    • Journal Title

      COMPEL - The international journal for computation and mathematics in electrical and electronic engineering

      Volume: 41 Issue: 5 Pages: 1415-1427

    • DOI

      10.1108/compel-08-2021-0285

    • Related Report
      2022 Annual Research Report 2021 Research-status Report
    • Peer Reviewed
  • [Journal Article] Interactive Motor Design System using 2D Finite Element Analysis with Fast Mesh Modification Method2022

    • Author(s)
      R. Seno, T. Manabe, S. Matsutomo and Y. Hidaka
    • Journal Title

      IEEE Transactions on Magnetics

      Volume: - Issue: 9 Pages: 1-1

    • DOI

      10.1109/tmag.2022.3159993

    • Related Report
      2022 Annual Research Report 2021 Research-status Report
    • Peer Reviewed
  • [Journal Article] Prediction of IPM Machine Torque Characteristics Using Deep Learning Based on Magnetic Field Distribution2022

    • Author(s)
      Sasaki Hidenori、Hidaka Yuki、Igarashi Hajime
    • Journal Title

      IEEE Access

      Volume: 10 Pages: 60814-60822

    • DOI

      10.1109/access.2022.3179835

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Presentation] 組合せ型トポロジー最適化に関する基礎検討2022

    • Author(s)
      日高 勇気
    • Organizer
      電気学会研究会資料. RM-22-022, SA-22-022
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 単層ニューラルネットワークを用いた代替磁束モデル生成における d 軸磁束の推定精度向上に関する基礎検討2022

    • Author(s)
      日高勇気 , 趙 鉄陽 , 比留間真悟 , 貝森弘行 , 江川みち , 松下嘉子
    • Organizer
      電気学会 研究会資料
    • Related Report
      2022 Annual Research Report
  • [Presentation] High-Torque Density Magnet-Assisted Wound Field Motor using a Field-Unit-Type Rotor2022

    • Author(s)
      Y. Hidaka
    • Organizer
      2022 International Conference on Electrical Machines (ICEM)
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 組合せ型トポロジー最適化に関する基礎検討2022

    • Author(s)
      日高 勇気
    • Organizer
      2022年3月7日-2022年3月8日静止器/回転機合同研究会
    • Related Report
      2021 Research-status Report
  • [Presentation] Analytical Magnetic Model for Variable-Flux Interior Permanent Magnet Synchronous Motors2021

    • Author(s)
      Bingnan Wang, Kyung-Hun Shin, Yuki Hidaka, Shota Kondo, Hideaki Arita, Kazumasa Ito
    • Organizer
      2021 IEEE Energy Conversion Congress and Exposition (ECCE)
    • Related Report
      2021 Research-status Report
    • Int'l Joint Research
  • [Presentation] オンライン学習を用いた高速多目的形状最適化に関する基礎検討 : IPMモータの形状最適化問題への適用2021

    • Author(s)
      日高 勇気 , 江川 みち , 松下 嘉子 , 貝森 弘行
    • Organizer
      電気学会研究会資料. RM 2021(87-102), 31-34, 2021-09-10
    • Related Report
      2021 Research-status Report

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Published: 2021-10-22   Modified: 2024-01-30  

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