Torque Analysis of V-type Interior PMSM for Electric Vehicle Based on FEA Simulation

Alfian Idris*, I. Made Yulistya Negara, Dimas Anton Asfani, Yoga Uta Nugraha

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Automotive technology, especially electric vehicles (EV), in the industrial era 4.0 is developing very quickly. Researchers continue to strive to improve performance on every component of electric vehicles including electric motors, batteries, and controllers. Permanent Magnet Synchronous Motor (PMSM) is a type of electric motor that is currently a concern because the rotor uses permanent magnets, and has a high power density. In this paper, the design and simulation of V-type Interior Permanent Magnet Synchronous Motor (IPMSM) is carried out, which is widely implemented in electric vehicles because it has a simple design and large power density value. In designing the motor, the V-angle shape of the magnet is arranged in such a way that it can produce optimal torque performance. The method used to adjust the V-angle magnet in order to obtain an optimal design is the trial and error method. This method is very easy to use in determining the optimal design, because it does not require a mathematical equation to solve it. Design modeling and performance simulation of IPMSM using finite element analysis (FEA) based software. IPMSM has 12 slots and 10 poles. FEA simulation results show that the optimal torque is at a V-angle of 95 mechanical degrees, which is 8.48 Nm. This motor can be a good consideration to be implemented, especially on electric vehicle.

Original languageEnglish
Title of host publicationProceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering
Subtitle of host publicationApplying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages606-611
Number of pages6
ISBN (Electronic)9798350399615
DOIs
Publication statusPublished - 2022
Event6th International Conference on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2022 - Virtual, Online, Indonesia
Duration: 13 Dec 202214 Dec 2022

Publication series

NameProceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022

Conference

Conference6th International Conference on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2022
Country/TerritoryIndonesia
CityVirtual, Online
Period13/12/2214/12/22

Keywords

  • Electric Vehicle
  • Finite Element Analysis
  • Interior PMSM
  • PMSM

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