Intelligent efficiency mapping of a hybrid electric vehicle starter/alternator using fuzzy logic

Author

Sepe, Raymond B., Jr. ; Miller, John M. ; Gale, Allan R.

Author_Institution

Electro Standards Labs., Cranston, RI, USA

Volume

2

fYear

1999

fDate

6/21/1905 12:00:00 AM

Abstract

This paper characterizes the optimum efficiency operating points of an 8 kW hybrid electric vehicle (HEV) starter/alternator, using a fuzzy logic controller for robust, automatic mapping. Hardware-in-the-simulation-loop techniques are presented to tune the fuzzy controller, and an algorithm to predict optimum starter/alternator operating points is developed. Experimental results show the effectiveness of the fuzzy controller, validate model predictions, and indicate the importance of saturation and temperature in assessing starter/alternator efficiency. Vehicular deployment of such a system could be used to maintain maximum starter/alternator efficiency in the HEV

Keywords

alternators; digital control; electric vehicles; fuzzy control; induction motors; intelligent control; machine control; optimisation; robust control; starting; 8 kW; effectiveness; fuzzy logic; fuzzy logic controller; hardware-in-the-simulation-loop; hybrid electric vehicle; intelligent efficiency mapping; model predictions; optimum efficiency operating points; robust automatic mapping; saturation; starter/alternator; Alternators; Automatic control; Fuzzy control; Fuzzy logic; Hybrid electric vehicles; Intelligent vehicles; Prediction algorithms; Predictive models; Robust control; Temperature control;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Avionics Systems Conference, 1999. Proceedings. 18th

Conference_Location

St Louis, MO

Print_ISBN

0-7803-5749-3

Type

conf

DOI

10.1109/DASC.1999.822007

Filename

822007