Motorization for an Electric Scooter by Using Permanent-Magnet Machines Optimized Based on a Hybrid Metaheuristic Algorithm

Author

Fodorean, D. ; Idoumghar, Lhassane ; Szabo, Lorand

Author_Institution

Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania

Volume

62

Issue

1

fYear

2013

fDate

Jan. 2013

Firstpage

39

Lastpage

49

Abstract

This paper deals with the proposition of a permanent-magnet (PM) machine used to motorize an electric scooter. Several electrical machine configurations are discussed, and the best solution is chosen. The power density and the energetic performances of the chosen machine (with a fractional-slot configuration) are improved using a hybrid optimization algorithm, which combines simulated annealing (SA) and particle swarm optimization (PSO) techniques. The obtained results are numerically and experimentally validated to prove that the proposed solution suites the scooter application.

Keywords

electric vehicles; motorcycles; particle swarm optimisation; permanent magnet machines; simulated annealing; PM machine; PSO technique; SA; electric scooter motorization; electrical machine configuration; fractional-slot configuration; hybrid metaheuristic algorithm; hybrid optimization algorithm; particle swarm optimization technique; permanent-magnet machine; power density; simulated annealing; Harmonic analysis; Iron; Motorcycles; Synchronous motors; Topology; Torque; Windings; Electric scooter; experimental validation; hybrid algorithm; particle swarm optimization (PSO); permanent magnet (PM); simulated annealing (SA);

fLanguage

English

Journal_Title

Vehicular Technology, IEEE Transactions on

Publisher

ieee

ISSN

0018-9545

Type

jour

DOI

10.1109/TVT.2012.2215970

Filename

6290433