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Incremental Capacity Analysis as a State of Health Estimation Method for Lithium-Ion Battery Modules with Series-Connected Cells
| Content Provider | MDPI |
|---|---|
| Author | Krupp, Amelie Ferg, Ernst Schuldt, Frank Derendorf, Karen Agert, Carsten |
| Copyright Year | 2020 |
| Description | Incremental capacity analysis (ICA) has proven to be an effective tool for determining the state of health (SOH) of Li-ion cells under laboratory conditions. This paper deals with an outstanding challenge of applying ICA in practice: the evaluation of battery series connections. The study uses experimental aging and characterization data of lithium iron phosphate (LFP) cells down to 53% SOH. The evaluability of battery series connections using ICA is confirmed by analytical and experimental considerations for cells of the same SOH. For cells of different SOH, a method for identifying non-uniform aging states on the modules’ IC curve is presented. The findings enable the classification of battery modules with series and parallel connections based on partial terminal data. |
| Starting Page | 2 |
| e-ISSN | 23130105 |
| DOI | 10.3390/batteries7010002 |
| Journal | Batteries |
| Issue Number | 1 |
| Volume Number | 7 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2020-12-30 |
| Access Restriction | Open |
| Subject Keyword | Batteries Energy and Fuel Technology Lithium-ion Batteries State-of-health Incremental Capacity Analysis Battery Module |
| Content Type | Text |
| Resource Type | Article |
