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.
| Original language | English |
|---|---|
| Title of host publication | Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC |
| Publisher | IEEE |
| Pages | 993-1000 |
| ISBN (Print) | 9781509053667 |
| DOIs | |
| Publication status | Published - 17 May 2017 |
| Event | 32nd Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2017 - Tampa, United States Duration: 26 Mar 2017 → 30 Mar 2017 |
Conference
| Conference | 32nd Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2017 |
|---|---|
| Place | United States |
| City | Tampa |
| Period | 26/03/17 → 30/03/17 |
Research Keywords
- Battery bank
- Fault diagnosis
- State of charge
- State of health
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