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Article Dans Une Revue Engineering Applications of Artificial Intelligence Année : 2013

Experimental validation of a type-2 fuzzy logic controller for energy management in hybrid electrical vehicles

Résumé

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.

Dates et versions

hal-00923969 , version 1 (06-01-2014)

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Citer

Javier Solano Martinez, Jérôme Mulot, Fabien Harel, Daniel Hissel, Marie-Cécile Pera, et al.. Experimental validation of a type-2 fuzzy logic controller for energy management in hybrid electrical vehicles. Engineering Applications of Artificial Intelligence, 2013, 26 (7), pp.1772-1779. ⟨10.1016/j.engappai.2012.12.008⟩. ⟨hal-00923969⟩
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