Diagnostic cell for large-scale battery bank
Diagnostic cell for large-scale battery bank
复制标题
大型电池组诊断电池
DOI：
10.1109/apec.2017.7930817
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Jun Zhang
中科院分区：
文献类型：
--
作者：
A. Liu;H. Chung;Wenguan Wang;Ricky Wing;Jun Zhang
许多电池存储系统（例如不间断电源（UPS）系统）中的电池组被放置在无人值守或远程位置。操作员必须定期到现场目测电池的使用情况。无法轻松准确地发现意外的电池过早失效。为确保可使用性，这些电池通常在使用几年后更换，这取决于现场条件和维护实践以及运营商的经验。本文将提出一种诊断单元，用于进行实时估计的充电状态（SOC）和健康状态（SOH）的两个串联连接的电池，形成一个基本的单元，用于诊断的健康大型电池组。操作员可以远程监控SOC和SOH，并在任何故障或事故发生前的最佳时间进行更换练习。该小组可以节省定期现场视察的资源。由于电池将在其生命周期结束时更换，因此也将减少不必要的电子废物。
The battery banks in many battery storage systems, such as uninterruptible power supply (UPS) systems, are placed in unattended or remote locations. Operators have to conduct regular on-site visual inspection of the service condition of the batteries. Unexpected premature battery failure cannot be discovered easily and accurately. To ensure serviceability, those batteries are typically replaced after a few years of service, depending on the site condition and the maintenance practice and experience of the operators. This paper will present a diagnostic cell for conducting real-time estimation of the State of Charge (SOC) and State of Health (SOH) of two series connected batteries, forming a basic unit for diagnosing the health of a large-scale battery bank. Operators can monitor the SOC and SOH remotely, and conduct replacement exercise at optimal time before any failure or incident occurs. The cell could save resources on regular site inspection. As the batteries are to be replaced near the end of their life cycle, it will also reduce undesired electronic waste.