Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
380720 | Engineering Applications of Artificial Intelligence | 2013 | 8 Pages |
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.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Javier Solano Martínez, Jérôme Mulot, Fabien Harel, Daniel Hissel, Marie-Cécile Péra, Robert I. John, Michel Amiet,