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dc.contributor.authorParedes Larroca, Fabricio Humberto
dc.contributor.authorSaettone Olschewski, Erich Arturo
dc.contributor.authorQuino Favero, Javier
dc.contributor.authorRosales Huamaní, Jimmy
dc.contributor.authorCastillo Sequera, José Luis
dc.contributor.otherParedes Larroca, Fabricio Humberto
dc.contributor.otherSaettone Olschewski, Erich Arturo
dc.contributor.otherQuino Favero, Javier
dc.date.accessioned2020-01-06T21:34:15Z
dc.date.available2020-01-06T21:34:15Z
dc.date.issued2020
dc.identifier.citationParedes Larroca F., Saettone Olschewski E., Quino Favero J., Rosales Huamaní J., & Castillo Sequera J.L. (2020) Development of a Fuzzy Logic-Based Solar Charge Controller for Charging Lead–Acid Batteries. In: Nummenmaa J., Pérez-González F., Domenech-Lega B., Vaunat J., Oscar Fernández-Peña F. (eds) Advances and Applications in Computer Science, Electronics and Industrial Engineering. CSEI 2019. Advances in Intelligent Systems and Computing, vol 1078. Springer, Cham. https://doi.org/10.1007/978-3-030-33614-1_12es_PE
dc.identifier.urihttps://hdl.handle.net/20.500.12724/9931
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.es_PE
dc.formatapplication/pdf
dc.language.isoeng
dc.publisherSpringeres_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccess*
dc.sourceRepositorio Institucional Ulimaes_PE
dc.sourceUniversidad de Limaes_PE
dc.subjectTratamiento de aguases_PE
dc.subjectPilas eléctricases_PE
dc.subjectCélulas solareses_PE
dc.subjectElectric batterieses_PE
dc.subjectWater treatmentes_PE
dc.subjectSolar cellses_PE
dc.titleDevelopment of a Fuzzy Logic-Based Solar Charge Controller for Charging Lead–Acid Batterieses_PE
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.type.otherArtículo de conferencia en Scopus
ulima.areas.lineasdeinvestigacionRecursos naturales y medio ambiente / Ecoeficiencia y tecnologías limpiases_PE
dc.publisher.countryCHes_PE
dc.subject.ocdehttp://purl.org/pe-repo/ocde/ford#2.02.03
dc.identifier.doihttps://doi.org/10.1007/978-3-030-33614-1_12
ulima.cat9
ulima.autor.afiliacionParedes Larroca, Fabricio Humberto (Universidad de Lima)es_PE
ulima.autor.afiliacionSaettone Olschewski, Erich Arturo (Universidad de Lima)es_PE
ulima.autor.afiliacionQuino Favero, Javier (Universidad de Lima)es_PE
ulima.autor.carreraParedes Larroca, Fabricio Humberto (Ingeniería Industrial)es_PE
ulima.autor.carreraSaettone Olschewski, Erich Arturo (Ingeniería Industrial)es_PE
ulima.autor.carreraQuino Favero, Javier (Ingeniería Industrial)es_PE
dc.identifier.scopusid2-s2.0-85076221480
dc.identifier.eventCSEI 2019: Advances and Applications in Computer Science, Electronics and Industrial Engineering


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