Title :
Particle Swarm Optimization of Coupled Electromechanical Systems
Author :
Al-Aawar, N. ; Hijazi, T.M. ; Arkadan, A.A.
Author_Institution :
Hariri Canadian Univ., Mechref, Lebanon
fDate :
5/1/2011 12:00:00 AM
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;
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2010.2096802
