Please use this identifier to cite or link to this item: https://accedacris.ulpgc.es/jspui/handle/10553/154905
DC FieldValueLanguage
dc.contributor.authorRocha Henríquez, Francisco Javieren_US
dc.contributor.authorAguasca Colomo, Ricardoen_US
dc.contributor.authorMéndez Babey, Máximoen_US
dc.date.accessioned2026-01-13T07:31:04Z-
dc.date.available2026-01-13T07:31:04Z-
dc.date.issued2025en_US
dc.identifier.issn2352-3409en_US
dc.identifier.urihttps://accedacris.ulpgc.es/jspui/handle/10553/154905-
dc.description.abstractThis dataset was generated from experiments on a bank of six 1200 Ah OPzS stationary batteries connected in series to form a 12 V storage system. Each cell was monitored for voltage, temperature, and electrolyte density using a DataTaker DT85M recorder, complemented by Pt100, analog voltmeters, and Hall effect sensors. Charging was performed with a programmable DC power supply under conventional, photovoltaic, and wind profiles, while discharging used a programmable electronic load capable of reproducing C10 and C20 curves, real consumption patterns from Gran Canaria, and random pulse sequences. Data were collected at one-minute intervals between August 2024 and May 2025, covering 1375 h and 42 min. The dataset includes 14 charge–discharge cycles, with 1053 to 13,385 records per cell. Provided in CSV format, the dataset enables straightforward processing and supports applications in battery modeling, comparative performance analysis, and validation of energy management algorithms.en_US
dc.languageengen_US
dc.relation.ispartofData in Briefen_US
dc.subject33 Ciencias tecnológicasen_US
dc.subject.otherProbabilistic genetic algorithmsen_US
dc.subject.otherOPzS lead-acid batteriesen_US
dc.subject.otherState of charge estimationen_US
dc.subject.otherVoltage predictionen_US
dc.subject.otherRenewable energy storageen_US
dc.titleExperimental dataset of charge and discharge patterns in a 1200Ah OpzS battery banken_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.identifier.doi10.1016/j.dib.2025.112308en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.utils.revisionen_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-TELen_US
dc.description.sjr0,198
dc.description.jcr1,4
dc.description.sjrqQ3
dc.description.jcrqQ3
dc.description.esciESCI
dc.description.miaricds9,3
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.author.deptGIR SIANI: Computación Evolutiva y Aplicaciones-
crisitem.author.deptIU de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería-
crisitem.author.deptDepartamento de Ingeniería Electrónica y Automática-
crisitem.author.deptGIR SIANI: Computación Evolutiva y Aplicaciones-
crisitem.author.deptIU de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0003-2217-8005-
crisitem.author.orcid0000-0002-7133-7108-
crisitem.author.parentorgIU de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería-
crisitem.author.parentorgIU de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería-
crisitem.author.fullNameRocha Henríquez, Francisco Javier-
crisitem.author.fullNameAguasca Colomo, Ricardo-
crisitem.author.fullNameMéndez Babey, Máximo-
Appears in Collections:Artículos
Adobe PDF (1,24 MB)
Show simple item record

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.