Experimental dataset of charge and discharge patterns in a 1200Ah OpzS battery bank

This 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.

Authors

Institutions

Publication Details

Journal
Data in Brief
Published
2025-11-21
DOI
https://doi.org/10.1016/j.dib.2025.112308
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Experimental dataset of charge and discharge patterns in a 1200Ah OpzS battery bank

Ricardo Aguasca-Colomo, Máximo Méndez, José Fernando Moura Rocha
Data in Brief
Advanced Battery Technologies Research
article

Experimental dataset of charge and discharge patterns in a 1200Ah OpzS battery bank

Ricardo Aguasca-Colomo, Máximo Méndez, José Fernando Moura Rocha
article en

Abstract

This 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.

Data in BriefVol. 63
Universidad de Las Palmas de Gran Canaria (ES)
Openalex Percentile: Top 61%
Advanced Battery Technologies Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Experimental dataset of charge and discharge patterns in a 1200Ah OpzS battery bank — Ricardo Aguasca-Colomo, Máximo Méndez, et al. · Data in Brief (2025) | TGRS Research Map | TGRS