Title :
Fuzzy Logic Control of Air Supply System in PEMFC for Electric Vehicles
Author :
Guoai, Wei ; Shuhai, Quan ; Yingchuan, Qi
Author_Institution :
Sch. of Autom., Wuhan Univ. of Technol., Wuhan
Abstract :
It puts forward a fuzzy logic control of air supply system for electric vehicles which are driven by proton exchange membrane fuel cell (PEMFC). By analyzing and counting air consumed in PEMFC according to electric vehiclespsila output power basing dynamic air supply system model, it adjusts motor rotate speed to make air flux change with load so that PEMFC works in high efficient and economic state. And fuzzy logic control is applied for air compressor motor adopts brushless DC motor (BLDCM) which runs in nonlinearity. The result of simulation shows that fuzzy logic control can adjust motor speed smoothly and rapidly.
Keywords :
angular velocity control; brushless DC motors; compressors; control nonlinearities; electric vehicles; fuzzy control; machine control; proton exchange membrane fuel cells; PEMFC; air compressor motor; air supply system; brushless DC motor; electric vehicles; fuzzy logic control; motor speed; proton exchange membrane fuel cell; Biomembranes; Brushless DC motors; Control systems; DC motors; Electric vehicles; Fuel cells; Fuzzy logic; Nonlinear dynamical systems; Power generation; Protons; Proton exchange membrane fuel cell (PEMFC); air supply system; compressor motor; electric vehicles; fuzzy logic control;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.967
