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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- 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
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
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