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Diagnostic cell for large-scale battery bank

Authors
Liu, Alex Chun-ForChung, Henry Shu-HungWang, WenguanLau, Ricky Wing-HongZhang, Jun
Issue Date
May-2017
Publisher
Institute of Electrical and Electronics Engineers Inc.
Keywords
Battery bank; Fault diagnosis; State of charge; State of health
Citation
2017 IEEE Applied Power Electronics Conference and Exposition (APEC), pp.993 - 1000
Indexed
SCOPUS
Journal Title
2017 IEEE Applied Power Electronics Conference and Exposition (APEC)
Start Page
993
End Page
1000
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/115711
DOI
10.1109/APEC.2017.7930817
ISSN
1048-2334
Abstract
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. © 2017 IEEE.
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ERICA 공학대학 (SCHOOL OF ELECTRICAL ENGINEERING)
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