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

Volume

2

fYear

1997

fDate

5-9 Oct 1997

Firstpage

934

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Industry Applications Conference, 1997. Thirty-Second IAS Annual Meeting, IAS '97., Conference Record of the 1997 IEEE

Conference_Location

New Orleans, LA

ISSN

0197-2618

Print_ISBN

0-7803-4067-1

Type

conf

DOI

10.1109/IAS.1997.628973

Filename

628973