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Experimental validation of a type-2 fuzzy logic controller for energy management in hybrid electrical vehicles |
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| Authors: | Javier Solano Martínez Jérôme Mulot Fabien Harel Daniel Hissel Marie-Cécile Péra Robert I. John Michel Amiet |
| Affiliation: | 1. University of Franche-Comté, FEMTO-ST Institute UMR CNRS 6174, Belfort, France;2. FCLAB, FR CNRS 3539, Belfort, France;3. De Montfort University, Centre for Computational Intelligence, Leicester, United Kingdom;4. Direction Générale de l''Armement (DGA), Bagneux, France |
| 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. |
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