Particle Swarm Optimization of Coupled Electromechanical Systems

Author

Al-Aawar, N. ; Hijazi, T.M. ; Arkadan, A.A.

Author_Institution

Hariri Canadian Univ., Mechref, Lebanon

Volume

47

Issue

5

fYear

2011

fDate

5/1/2011 12:00:00 AM

Firstpage

1314

Lastpage

1317

Abstract

This work investigates the feasibility of utilizing an electromagnetic-team fuzzy logic (EM-TFL) robust identifier for use with the particle swarm optimization technique to increase the efficiency and fuel economy of a hybrid electric vehicle (HEV) powertrain system in series configuration. This optimization necessitates the characterization of the key electromechanical components of the hybrid electric powertrain system which includes a PM generator and an electric motor drive system. The basic objective of improving the fuel economy while maintaining the performance of the vehicle is met through the implementation of a particle swarm optimization algorithm.

Keywords

electromechanical effects; fuel economy; fuzzy logic; hybrid electric vehicles; motor drives; particle swarm optimisation; permanent magnet generators; power transmission (mechanical); PM generator; coupled electromechanical system; electric motor drive system; fuel economy; fuzzy logic; hybrid electric vehicle; particle swarm optimization; powertrain system; robust identifier; Batteries; Fuel economy; Hybrid electric vehicles; Ice; Mechanical power transmission; Optimization; Torque; Electric machines; fuel economy; hybrid electric vehicle; particle swarm optimization;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/TMAG.2010.2096802

Filename

5657258