Scalability and Key Tradeoffs of Variable Flux PM Machines for EV Traction Motor Systems

Apoorva Athavale, David Reigosa, Kan Akatsu, Kazuto Sakai, Robert D. Lorenz

研究成果: Conference contribution

16 被引用数 (Scopus)

抄録

Methodologies for the design and control of variable flux permanent magnet synchronous machines (VF-PMSMs) to meet electric vehicle traction requirements with significantly reduced driving cycle losses have been proposed recently. The effectiveness of the proposed methods was demonstrated by a systematic design based on finite element analysis (FEA) and experimental driving cycle loss evaluation of a full scale VF-PMSM prototype. In this paper, simplified analytical models are developed to estimate the properties and key performance metrics of VF-PMSMs across a range of power and are verified using FEA. Fundamental tradeoffs between the normalized high-speed power capability and the range of magnetization state (boldsymbol M boldsymbol S ) variation are identified. The relationship between boldsymbol M boldsymbol S variation range and driving cycle loss reduction is evaluated quantitatively across the design space. A detailed analysis of the scalability of VF-PMSMs including loss reduction capability and system cost (including active materials in the machine, inverter power electronics, and battery cost) is presented.

本文言語English
ホスト出版物のタイトル2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ページ2292-2299
ページ数8
ISBN(電子版)9781479973118
DOI
出版ステータスPublished - 2018 12月 3
イベント10th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2018 - Portland, United States
継続期間: 2018 9月 232018 9月 27

出版物シリーズ

名前2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018

Other

Other10th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2018
国/地域United States
CityPortland
Period18/9/2318/9/27

ASJC Scopus subject areas

  • エネルギー工学および電力技術
  • 再生可能エネルギー、持続可能性、環境
  • 制御と最適化
  • コンピュータ ネットワークおよび通信
  • ハードウェアとアーキテクチャ
  • 情報システムおよび情報管理

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