Experimental validation of a type-2 fuzzy logic controller for energy management in hybrid electrical vehicles
SOLANO MARTINEZ ; MULOT ; HAREL ; HISSEL ; PERA ; JOHN ; AMIET
Type de document
ARTICLE A COMITE DE LECTURE REPERTORIE DANS BDI (ACL)
Langue
anglais
Auteur
SOLANO MARTINEZ ; MULOT ; HAREL ; HISSEL ; PERA ; JOHN ; AMIET
Résumé / Abstract
The aim of this paper is to present experimental validation results of an energy management system for hybrid electrical vehicles based on type-2 fuzzy logic. The energy management system (EMS) is designed by extracting knowledge from several experts using surveys. The consideration of interval type-2 fuzzy sets enables modeling the uncertainty in the answers of the experts. The validation of the EMS is performed on a real-scale heavy duty vehicle equipped with different energy sources such as batteries, fuel cell system and ultracapacitors. Experimental results are strong evidence that type-2 fuzzy logic is wide adapted for performing the energy management in hybrid electrical vehicles.
Source
Engineering Applications of Artificial Intelligence, num. 7, pp. 1772–1779 p.
Editeur
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