Continuously-Variable-Pole Induction Machine Drive for Electric Vehicles

Soumil Chaubal, Elie Libbos, Debranjan Mukherjee, Anuj Maheshwari, Arijit Banerjee, Philip T. Krein

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents an operational methodology for continuous pole sharing in variable pole induction motors (VPIMs) to minimize machine and drive power loss. An optimization problem is formulated to determine torque sharing among poles, revealing that combining two-pole and six-pole components yields minimum losses and enhances magnetic material utilization for a typical machine, particularly at intermediate torque-speed operating points. A modulation method that incorporates common-mode voltage injection is introduced to maximize dc bus utilization. A proposed control architecture enables one pole to operate under vector control and the other under scalar control, thereby reducing parameter dependence for synchronization and reference generation. The proposed approach supports dynamic loss minimization using the dc bus current and by varying the scalar-controlled pole magnitude. Experimental results conducted on a toroidally wound 36-slot machine validate the effectiveness of the proposed approach.

Original languageEnglish (US)
Title of host publication2024 IEEE Transportation Electrification Conference and Expo, ITEC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350317664
DOIs
StatePublished - 2024
Externally publishedYes
Event2024 IEEE Transportation Electrification Conference and Expo, ITEC 2024 - Chicago, United States
Duration: Jun 19 2024Jun 21 2024

Publication series

Name2024 IEEE Transportation Electrification Conference and Expo, ITEC 2024

Conference

Conference2024 IEEE Transportation Electrification Conference and Expo, ITEC 2024
Country/TerritoryUnited States
CityChicago
Period6/19/246/21/24

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Automotive Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Control and Optimization
  • Modeling and Simulation
  • Transportation

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