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DC Field | Value | Language |
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dc.contributor.author | M. Mohammedi | - |
dc.contributor.author | O.Kraa | - |
dc.contributor.author | M.Becheri | - |
dc.contributor.author | A.Aboubou | - |
dc.contributor.author | M 'Y 'Ayad | - |
dc.contributor.author | M 'Bahri | - |
dc.date.accessioned | 2016-03-17T10:45:37Z | - |
dc.date.available | 2016-03-17T10:45:37Z | - |
dc.date.issued | 2016-03-17 | - |
dc.identifier.uri | http://archives.univ-biskra.dz/handle/123456789/7533 | - |
dc.description.abstract | Electric vehicles using Fuel cell (FC), as a substitute for internal-combustion-engine vehicles' have become a research hotspot for most automobile manufacturerc uil or", the world. Fuel cell systems have disadvantages, such as high cost, slow response and no regenerative energy recovery during braking; hybridization "un b. u solution to these drawbacks. This paper presents a modelling and control strategies of hybrid oC lint which is equipped with a fuel ce1l system as a main source and a supercapacitor (sC) as an auxiliary power sogrce as well. An energy management strategy based on passivity based contro1 using fuzzy logic estimation' which is employed to control the power source, is described. ftris tuzzy estimation is capable to determine the desired curent of sc according to rhe sc stare of charge (soc) and the FC remaining hydrogen quantity (QI12). Finally, the computer simulation results under Matlab verify the validity of the proposed controller and demonstrate that the proposed controller provides robust dynamic characteristics. | en_US |
dc.language.iso | en | en_US |
dc.subject | Fuet cell, srp.r.ü"i,Ëi.-Ëàî;;i;ÿ-b;;"à 4""r"r.-È""tgirt,l*agement' Fuzzv Logic Estimator' Hvbrid Vehicler | en_US |
dc.title | Fuzzy Logic and Passivity-Based controller applied to Electric Vehicle using Fuel Cell and Supercapacitors Hybrid Source | en_US |
dc.type | Article | en_US |
Appears in Collections: | Publications Internationales |
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