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
Abstract :
Design optimization environment utilizing an Electromagnetic-Team Fuzzy Logic, EM-TFL, robust identifier for use with Particle Swarm Optimization, PSO, technique is presented. The developed environment is applied in a case study to optimize various components of a prototype Hybrid Electric Vehicle, HEV, powertrain.
Keywords :
fuzzy logic; hybrid electric vehicles; particle swarm optimisation; power transmission (mechanical); EM-TFL; HEV; PSO; coupled electromechanical system; design optimization; electromagnetic-team fuzzy logic; hybrid electric vehicle; particle swarm optimization; powertrain; robust identifier; Batteries; Design optimization; Electromechanical systems; Fuzzy logic; Hybrid electric vehicles; Ice; Internal combustion engines; Mechanical power transmission; Particle swarm optimization; Robustness;
Conference_Titel :
Electromagnetic Field Computation (CEFC), 2010 14th Biennial IEEE Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4244-7059-4
DOI :
10.1109/CEFC.2010.5481415