A Cell-Level Time-Series Data Management Structure for Cloud-Based Wireless Battery Management Systems

This paper presents a cell-level time-series data management structure for a cloud-based wireless battery management system. The background and necessity of continuous cell-level data collection in wireless battery monitoring environments are described. A data management framework for collecting and transmitting cell-level measurement data to the cloud is defined. The overall system architecture consisting of the battery module, wireless communication unit, and cloud-based data management layer is presented. Experimental results demonstrate the storage and visualization of cell-level battery data using the proposed system.

Authors

Publication Details

Journal
Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
Published
2026-02-28
DOI
https://doi.org/10.5207/jieie.2026.40.1.64
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

A Cell-Level Time-Series Data Management Structure for Cloud-Based Wireless Battery Management Systems

Kyo-Beum Lee, Da-Sol Kim
Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
Advanced Battery Technologies Research
article

A Cell-Level Time-Series Data Management Structure for Cloud-Based Wireless Battery Management Systems

Kyo-Beum Lee, Da-Sol Kim
article en

Abstract

This paper presents a cell-level time-series data management structure for a cloud-based wireless battery management system. The background and necessity of continuous cell-level data collection in wireless battery monitoring environments are described. A data management framework for collecting and transmitting cell-level measurement data to the cloud is defined. The overall system architecture consisting of the battery module, wireless communication unit, and cloud-based data management layer is presented. Experimental results demonstrate the storage and visualization of cell-level battery data using the proposed system.

Journal of the Korean Institute of Illuminating and Electrical Installation EngineersVol. 40(1)
Openalex Percentile: Top 26%
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.