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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 3 of 3 1 Type-1 OWA operators in aggregating multiple sources of uncertain information : properties and real world applications Zhou, Shang-Ming; Chiclana, Francisco; John, Robert I.. - 2020 BASE Show details 2 A survey-based type-2 fuzzy logic system for energy management in hybrid electrical vehicles Solano Martínez, Javier; John, Robert I.; Hissel, Daniel... In: Information sciences. - New York, NY : Elsevier Science Inc. 190 (2012), 192-207 OLC Linguistik Show details 3 A survey-based type-2 fuzzy logic system for energy management in hybrid electrical vehicles Solano-Martinez, Javier; JOHN, Robert I; Hissel, Daniel; Péra, Marie-Cécile In: Information Sciences ; https://hal.archives-ouvertes.fr/hal-03223584 ; Information Sciences, 2012, 190, pp.192 - 207 (2012) Abstract: International audience ; Hybrid electrical vehicles combine two or more energy sources (at least one electrical) to benefit from their different characteristics regarding autonomy, reversibility and dynamic response. Energy management consists in discovering an energy distribution between thedifferent energy sources whilst meeting different design requirements such as comfort or energy consumption minimization. This paper aims to design a fuzzy logic controller to manage the energy in a hybrid electrical vehicle equipped with three different energysources: batteries, a supercapacitors system and a fuel cell system. We use human expertise to design the fuzzy logic controller. A survey using linguistic labels was conducted among experts in hybrid electrical vehicles. As each expert has defined different fuzzy setsand rules we use type-2 fuzzy sets, that permit to combine the knowledge from the experts handling the uncertainty associated with the meaning of the words. The proposed fuzzy logic controller is evaluated by computer simulation. Keyword: [PHYS.MECA.MEFL]Physics [physics]/Mechanics [physics]/Fluid mechanics [physics.class-ph]; [PHYS.MECA.THER]Physics [physics]/Mechanics [physics]/Thermics [physics.class-ph]; [SPI.AUTO]Engineering Sciences [physics]/Automatic; [SPI.NRJ]Engineering Sciences [physics]/Electric power URL: https://hal.archives-ouvertes.fr/hal-03223584 BASE Hide details

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