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ORIGINAL RESEARCH article

Front. Energy Res.
Sec. Sustainable Energy Systems
Volume 12 - 2024 | doi: 10.3389/fenrg.2024.1454398
This article is part of the Research Topic Advances in Renewable Energy System Monitoring, Situational Awareness, and Control View all 11 articles

Design and Implementation of Online Battery Monitoring and Management System Based on the Internet of Things

Provisionally accepted
Kena Chen Kena Chen 1,2Lei Luo Lei Luo 1,2Wei Lei Wei Lei 3Pinlei Lv Pinlei Lv 1,2Liang Zhang Liang Zhang 3*
  • 1 State Grid Sichuan Electric Power Research Institute, Chengdu, Sichuan Province, China
  • 2 Power Internet of Things Key Laboratory of Sichuan Province, Chengdu, Sichuan Province, China
  • 3 Southwest Petroleum University, Chengdu, China

The final, formatted version of the article will be published soon.

    Battery pack provides the backup power supply for DC systems of power substations. In the event of an AC power outage or other accidents, it is an important guarantee for the reliable operation of power substation. To prevent possible failures, batteries usually require careful maintenance. Common methods are online monitoring, condition assessments, and health management. Among these, model-based techniques are widely used for battery monitoring and prognostics optimization. Data-driven methods are a good alternative solution when no mathematical models are available. As substations develop towards intelligent and unmanned modes, this paper proposes an online battery monitoring and management system based on the "cloud-network-edge-end" Internet of Things (IoT) architecture. The system has functions including ledger management, basic battery information display, real-time display of battery monitoring data, and the visualization of battery alarm information. It can implement online monitoring and intelligent maintenance management for battery operating status. The designed and developed system has been applied in the monitoring and management of the battery for a 110kV offshore substation, mainly providing battery maintenance suggestions and fault alarm prompts. This verifies the effectiveness and convenience of IoT-based systems for the monitoring and management of batteries.

    Keywords: battery, online monitoring, Internet of Things, Cloud-network-edge-end, Fault diagnosis

    Received: 25 Jun 2024; Accepted: 23 Aug 2024.

    Copyright: © 2024 Chen, Luo, Lei, Lv and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Liang Zhang, Southwest Petroleum University, Chengdu, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.