Title :
Neural network-based efficiency optimization of EV drive
Author :
Chis, M. ; Jayaram, S. ; Rajashekara, K.
Author_Institution :
SAF Drive Syst., Kitchener, Ont., Canada
Abstract :
Simulation and modelling of an electric vehicle drive system using a vector controlled induction motor is discussed. An artificial neural network (ANN) based search algorithm is employed in an input-output efficiency optimization scheme for direct torque control (DTC). Comparison is made with the same method applied to a classical rotor flux-oriented (RFOC) drive
Keywords :
electric machine analysis computing; electric vehicles; induction motor drives; learning (artificial intelligence); machine control; neural nets; torque control; classical rotor flux-oriented drive; direct torque control; electric vehicle drive; input-output efficiency optimization; modelling; neural network; neural network based search algorithm; neural network training; simulation; vector controlled induction motor; Artificial neural networks; DC motors; Electric vehicles; Hysteresis motors; Induction motor drives; Induction motors; Neural networks; Sliding mode control; Stators; Torque control;
Conference_Titel :
Electrical and Computer Engineering, 1997. Engineering Innovation: Voyage of Discovery. IEEE 1997 Canadian Conference on
Conference_Location :
St. Johns, Nfld.
Print_ISBN :
0-7803-3716-6
DOI :
10.1109/CCECE.1997.608256
