Optimization of the Lifetime and Cost of a PMSM in an Electric Vehicle Drive Train

Aissam Riad Meddour, Nassim Rizoug, Patrick Leserf, Christopher Vagg, Richard Burke, Cherif Larouci

Research output: Contribution to journalArticlepeer-review

Abstract

This study focuses on optimizing the lifetime and cost of an electric vehicle powertrain by optimizing the motor’s geometrical parameters and the bus voltage while considering the battery’s sizing. We employ the WLTP driving cycle to evaluate the powertrain’s performance and use finite element and analytical modeling to consider electromagnetic, thermal, and aging behaviors. Our research investigates the interplay between the battery and motor, exploring how varying the motor geometry and parameters affects the powertrain’s overall lifetime and cost. Our findings will contribute to developing more efficient and cost-effective electric powertrains.
Original languageEnglish
Article number 5200
Number of pages27
JournalEnergies
Volume16
Issue number13
Early online date6 Jul 2023
DOIs
Publication statusPublished - 31 Jul 2023

Bibliographical note

Funding: This research received no external funding.

Data Availability Statement: Not applicable.

Keywords

  • electric motor modeling
  • electric powertrain optimization
  • lithium-ion battery sizing

ASJC Scopus subject areas

  • Control and Optimization
  • Energy (miscellaneous)
  • Engineering (miscellaneous)
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Fuel Technology
  • Renewable Energy, Sustainability and the Environment

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