Design and implementation of online battery monitoring and management system based on the internet of things

IF 2.6 4区 工程技术 Q3 ENERGY & FUELS Frontiers in Energy Research Pub Date : 2024-09-04 DOI:10.3389/fenrg.2024.1454398
Kena Chen, Lei Luo, Wei Lei, Pinlei Lv, Liang Zhang
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Abstract

Battery pack provides the backup power supply for DC system 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. Firstly, advanced battery monitoring system based on IoT architecture is reviewed in depth. It provides basis for later designing. Secondly, the battery online monitoring and management system is designed considering functional requirements and data link. Designing functions include 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. Finally, the designed and developed system is applied in a 110 kV offshore substation, mainly providing battery maintenance suggestions and fault alarm prompts. Typical results of ledger information management, key parameter monitoring and alarm prompt are presented. This verifies the effectiveness and convenience of IoT-based system for the monitoring and management of batteries.
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基于物联网的在线电池监测和管理系统的设计与实施
蓄电池组为变电站直流系统提供备用电源。在交流断电或发生其他事故时,它是变电站可靠运行的重要保证。为防止可能出现的故障,通常需要对蓄电池进行精心维护。常见的方法有在线监测、状态评估和健康管理。其中,基于模型的技术被广泛用于电池监测和预报优化。在没有数学模型的情况下,数据驱动方法是一种很好的替代解决方案。随着变电站向智能化和无人值守模式发展,本文提出了一种基于 "云-网-端 "物联网架构的在线电池监测和管理系统。首先,对基于物联网架构的先进电池监控系统进行了深入探讨。为后期设计提供依据。其次,考虑到功能需求和数据链路,设计了电池在线监测和管理系统。设计功能包括台账管理、电池基本信息显示、电池监测数据实时显示、电池报警信息可视化等。该系统可实现对电池运行状态的在线监测和智能维护管理。最后,将设计开发的系统应用于 110 kV 海上变电站,主要提供电池维护建议和故障报警提示。系统在台账信息管理、关键参数监控和报警提示方面取得了典型成果。这验证了基于物联网的系统在电池监测和管理方面的有效性和便利性。
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来源期刊
Frontiers in Energy Research
Frontiers in Energy Research Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
3.90
自引率
11.80%
发文量
1727
审稿时长
12 weeks
期刊介绍: Frontiers in Energy Research makes use of the unique Frontiers platform for open-access publishing and research networking for scientists, which provides an equal opportunity to seek, share and create knowledge. The mission of Frontiers is to place publishing back in the hands of working scientists and to promote an interactive, fair, and efficient review process. Articles are peer-reviewed according to the Frontiers review guidelines, which evaluate manuscripts on objective editorial criteria
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