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dc.contributor.authorCastillo Sequera, José Luis 
dc.contributor.authorParedes Larroca, Fabricio
dc.contributor.authorSaettone Olschewski, Erich
dc.contributor.authorQuino Favero, Javier
dc.contributor.authorRosales Huamaní, Jimmy Aurelio
dc.date.accessioned2020-05-14T10:59:39Z
dc.date.issued2019-10-24
dc.identifier.bibliographicCitationParedes Larroca, F., Settone Olschewski, E., Quino Favero, J., Rosales Huamani, J. & Castillo Sequera, J.L. 2020, “Development of a fuzzy logic-based solar charge controller for charging lead-acid batteries”, in Proceedings of CSEI 2019, Advances and Applications in Computer Science, Electronics and Industrial Engineering, part of the AISC, vol. 1078, pp. 168-183
dc.identifier.issn2194-5357
dc.identifier.urihttp://hdl.handle.net/10017/42731
dc.descriptionEste documento se considera que es una ponencia de congresos en lugar de un artículo.es_ES
dc.descriptionInternational Conference on Computer Science, Electronics and Industrial Engineering (CSEI 2019), Oct. 28-31 2019, Ambato (Ecuador)en
dc.description.abstractThe design and implementation of a solar charge controller for lead-acid batteries is intended to supplement a component of the water purification module of the water treatment unit for natural disaster relief. This unit contains a solar panel system that supplies power to the module by charging batteries through a controller comprising an Atmega 328 processor. The solar panel feeds voltage to the batteries through fuzzy logic-based software, which allows up to 6 A DC to pass through the controller's power circuit. Consequently, the battery was charged in less time (an average of 7 h to reach maximum capacity), wherein battery lifespan is related to the charge wave frequency. Thus, our software may be adapted in different control algorithms without having to change hardware.en
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)*
dc.rights© 2020 Springer
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subjectFuzzy logicen
dc.subjectControlleren
dc.subjectBattery chargeren
dc.titleDevelopment of a fuzzy logic-based solar charge controller for charging lead-acid batteriesen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.subject.ecienciaInformáticaes_ES
dc.subject.ecienciaComputer scienceen
dc.contributor.affiliationUniversidad de Alcalá. Departamento de Ciencias de la Computaciónes_ES
dc.date.updated2020-05-14T10:57:36Z
dc.relation.publisherversionhttps://doi.org/10.1007/978-3-030-33614-1_12
dc.type.versioninfo:eu-repo/semantics/acceptedVersionen
dc.identifier.doi10.1007/978-3-030-33614-1_12
dc.date.embargoEndDate2020-10-24
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.identifier.uxxiAR/0000033400
dc.identifier.publicationtitleAdvances in Intelligent Systems and Computingen
dc.identifier.publicationvolume1078
dc.identifier.publicationlastpage183
dc.identifier.publicationfirstpage168


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