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

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...

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Bibliographic Details
Published in:Engineering applications of artificial intelligence 2013-08, Vol.26 (7), p.1772-1779
Main Authors: Solano Martínez, Javier, Mulot, Jérôme, Harel, Fabien, Hissel, Daniel, Péra, Marie-Cécile, John, Robert I., Amiet, Michel
Format: Article
Language:English
Subjects:
Automatic
Electric power
EMS
Energy management
Energy management systems
Engineering Sciences
Experimental validation
Expert systems
Fluid mechanics
Fuel cell system
Fuzzy logic
Fuzzy set theory
Hybrid electrical vehicles
Hybrid vehicles
Mechanics
Other
Physics
Thermics
Type-2 fuzzy logic systems
Ultracapacitors
Vehicles
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Summary: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.
ISSN:0952-1976
1873-6769
DOI:10.1016/j.engappai.2012.12.008