Title :
Efficiency optimization of EV drive using fuzzy logic
Author :
Chis, M. ; Jayaram, S. ; Ramshaw, R. ; Rajashekara, K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada
Abstract :
In this study, modeling and simulation of an efficiency optimization scheme for a real electric vehicle (EV) drive system was presented. Dynamic models were proposed for the motor, propulsion inverter, battery system and for all the components of the control system. Two vector control power drive configurations, namely rotor flux orientation and direct torque and flux control, were described and simulated. The mechanism of loss production in vector drives was analyzed in detail. The fuzzy set theory was briefly reviewed and used in the implementation of a minimum search system. This system was further used as an efficiency optimizer for the two drive systems
Keywords :
AC motor drives; DC-AC power convertors; control system analysis; control system synthesis; electric propulsion; electric vehicles; fuzzy control; invertors; machine control; machine theory; optimal control; rotors; secondary cells; torque control; traction motor drives; battery system; control design; control simulation; direct torque/flux control; efficiency optimization; electric vehicle drive system; fuzzy logic control scheme; fuzzy set theory; loss production mechanism; minimum search system; motor; propulsion inverter; rotor flux orientation; vector control system; Batteries; Control system synthesis; Electric vehicles; Fuzzy logic; Inverters; Machine vector control; Power system modeling; Propulsion; Rotors; Vehicle dynamics;
Conference_Titel :
Industry Applications Conference, 1997. Thirty-Second IAS Annual Meeting, IAS '97., Conference Record of the 1997 IEEE
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-4067-1
DOI :
10.1109/IAS.1997.628973
