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

doi:10.3390/en16135200

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

Parc Universitaire Laval-Changé

Research output: Contribution to journal › Article › peer-review

2 Citations (SciVal)

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 language	English
Article number	5200
Number of pages	27
Journal	Energies
Volume	16
Issue number	13
Early online date	6 Jul 2023
DOIs	https://doi.org/10.3390/en16135200
Publication status	Published - 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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3390/en16135200Licence: CC BY

Cite this

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AU - Leserf, Patrick

AU - Vagg, Christopher

AU - Burke, Richard

AU - Larouci, Cherif

N1 - Funding: This research received no external funding. Data Availability Statement: Not applicable.

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N2 - 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.

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KW - lithium-ion battery sizing

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

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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