dc.contributor.author | Castillo Sequera, José Luis | |
dc.contributor.author | Paredes Larroca, Fabricio | |
dc.contributor.author | Saettone Olschewski, Erich | |
dc.contributor.author | Quino Favero, Javier | |
dc.contributor.author | Rosales Huamaní, Jimmy Aurelio | |
dc.date.accessioned | 2020-05-14T10:59:39Z | |
dc.date.issued | 2019-10-24 | |
dc.identifier.bibliographicCitation | Paredes 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.issn | 2194-5357 | |
dc.identifier.uri | http://hdl.handle.net/10017/42731 | |
dc.description | Este documento se considera que es una ponencia de congresos en lugar de un artículo. | es_ES |
dc.description | International Conference on Computer Science, Electronics and Industrial Engineering (CSEI 2019), Oct. 28-31 2019, Ambato (Ecuador) | en |
dc.description.abstract | The 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.mimetype | application/pdf | en |
dc.language.iso | eng | en |
dc.rights | Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) | * |
dc.rights | © 2020 Springer | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
dc.subject | Fuzzy logic | en |
dc.subject | Controller | en |
dc.subject | Battery charger | en |
dc.title | Development of a fuzzy logic-based solar charge controller for charging lead-acid batteries | en |
dc.type | info:eu-repo/semantics/conferenceObject | en |
dc.subject.eciencia | Informática | es_ES |
dc.subject.eciencia | Computer science | en |
dc.contributor.affiliation | Universidad de Alcalá. Departamento de Ciencias de la Computación | es_ES |
dc.date.updated | 2020-05-14T10:57:36Z | |
dc.relation.publisherversion | https://doi.org/10.1007/978-3-030-33614-1_12 | |
dc.type.version | info:eu-repo/semantics/acceptedVersion | en |
dc.identifier.doi | 10.1007/978-3-030-33614-1_12 | |
dc.date.embargoEndDate | 2020-10-24 | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | en |
dc.identifier.uxxi | AR/0000033400 | |
dc.identifier.publicationtitle | Advances in Intelligent Systems and Computing | en |
dc.identifier.publicationvolume | 1078 | |
dc.identifier.publicationlastpage | 183 | |
dc.identifier.publicationfirstpage | 168 | |