Abstract
This paper discusses some concerned failure problems in battery reliability and investigates the latest known methodologies in health monitoring and life prediction of batteries. We conduct comparative studies on these different measurements and methods for Lithium batteries. Through combining with their respective performance, we introduce a fusion prognostic method based on Physics-of-Failure (PoF) approach in conjunction with data-driven technology. The fusion approach not only thoroughly analyses the battery failure mechanism as a result of the change of physical and chemical characteristics, it also estimates a number of parameters with the aid of real-time surveillance. Furthermore, we present the specific frameworks to implement the cell life prediction and battery inconsistency monitoring. The estimated State-of-Charge (SOC), State-of-Health (SOH), State-of-Life (SOL) and the level of the battery inconsistency will present a more accurate and competitive prediction according to the proposed approach. © 2011 IEEE.
| Original language | English |
|---|---|
| Title of host publication | 2011 Prognostics and System Health Management Conference, PHM-Shenzhen 2011 |
| DOIs | |
| Publication status | Published - 2011 |
| Event | 2011 Prognostics and System Health Management Conference, PHM-Shenzhen 2011 - Shenzhen, China Duration: 24 May 2011 → 25 May 2011 |
Conference
| Conference | 2011 Prognostics and System Health Management Conference, PHM-Shenzhen 2011 |
|---|---|
| Place | China |
| City | Shenzhen |
| Period | 24/05/11 → 25/05/11 |
Research Keywords
- Battery
- Fusion approach
- PoF
- Prognostics and Health Management (PHM)
- SOC
- SOH
- SOL
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