Upgrade a Commercial Scooter with Direct In-Wheel Drive System Based on Design and Optimization

Rifki Dwi Putranto, Harus Laksana Guntur, Ida Bagus Putu Putra Mahartana

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

Abstract

The introduction of the in-wheel hub motor (WHM) has revolutionized electric drive-trains used in several applications especially for two-wheeled vehicles. In this study, the 40-pole and 42-slot SPMSM was designed and optimized to replace the 0.65 kW WHM drive unit of the existing e-scooter. Design experiments have been carried out to evaluate a number of variations of shaft motor designs. The feed-forward neural network is trained to predict the relationship between the corresponding input and output parameters. Genetic algorithm is used as a search method for multi-objective functions to obtain optimal geometry. The optimal design of the proposed machine is presented according to the electromagnetic performance. Finally, a work cycle analysis was investigated to access the performance of the e-scooter with the proposed new engine in a typical urban driving scenario.

Original languageEnglish
Title of host publicationProceedings - 2022 2nd International Conference on Electronic and Electrical Engineering and Intelligent System, ICE3IS 2022
EditorsYessi Jussman
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages40-45
Number of pages6
ISBN (Electronic)9781665465410
DOIs
Publication statusPublished - 2022
Event2nd International Conference on Electronic and Electrical Engineering and Intelligent System, ICE3IS 2022 - Virtual, Online, Indonesia
Duration: 4 Nov 20225 Nov 2022

Publication series

NameProceedings - 2022 2nd International Conference on Electronic and Electrical Engineering and Intelligent System, ICE3IS 2022

Conference

Conference2nd International Conference on Electronic and Electrical Engineering and Intelligent System, ICE3IS 2022
Country/TerritoryIndonesia
CityVirtual, Online
Period4/11/225/11/22

Keywords

  • Duty cycle
  • FEA
  • Genetic Algorithm
  • In-Wheel Motor
  • MOP ANN
  • Optimal Design

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