@inproceedings{fe8eee483e3a4c1f8e29da2c371fc647,
title = "Upgrade a Commercial Scooter with Direct In-Wheel Drive System Based on Design and Optimization",
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.",
keywords = "Duty cycle, FEA, Genetic Algorithm, In-Wheel Motor, MOP ANN, Optimal Design",
author = "Putranto, {Rifki Dwi} and Guntur, {Harus Laksana} and Mahartana, {Ida Bagus Putu Putra}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2nd International Conference on Electronic and Electrical Engineering and Intelligent System, ICE3IS 2022 ; Conference date: 04-11-2022 Through 05-11-2022",
year = "2022",
doi = "10.1109/ICE3IS56585.2022.10010274",
language = "English",
series = "Proceedings - 2022 2nd International Conference on Electronic and Electrical Engineering and Intelligent System, ICE3IS 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "40--45",
editor = "Yessi Jussman",
booktitle = "Proceedings - 2022 2nd International Conference on Electronic and Electrical Engineering and Intelligent System, ICE3IS 2022",
address = "United States",
}