Neural network-based efficiency optimization of EV drive

Author

Chis, M. ; Jayaram, S. ; Rajashekara, K.

Author_Institution

SAF Drive Syst., Kitchener, Ont., Canada

Volume

2

fYear

1997

fDate

25-28 May 1997

Firstpage

454

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 1997. Engineering Innovation: Voyage of Discovery. IEEE 1997 Canadian Conference on

Conference_Location

St. Johns, Nfld.

ISSN

0840-7789

Print_ISBN

0-7803-3716-6

Type

conf

DOI

10.1109/CCECE.1997.608256

Filename

608256