DocumentCode
2609060
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
fYear
2010
fDate
9-12 May 2010
Firstpage
1
Lastpage
1
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Electromagnetic Field Computation (CEFC), 2010 14th Biennial IEEE Conference on
Conference_Location
Chicago, IL
Print_ISBN
978-1-4244-7059-4
Type
conf
DOI
10.1109/CEFC.2010.5481415
Filename
5481415
Link To Document