Amelie Krupp
Amelie Krupp has a total of 13 co-authors. Here are the top co-authors by number of shared publications:
Ernst Ferg
3 shared publicationsCarsten Agert
2 shared publications- Carsten Agert
German Aerospace Center (DLR), Institute of Networked Energy Systems 1 , Carl-von-Ossietzky-Straße 15, Oldenburg 26129, Germany
2 shared publications Frank Schuldt
2 shared publications- Frank Schuldt
DLR Institute of Networked Energy Systems, Carl-von-Ossietzky-Str. 15, 26129 Oldenburg, Germany
2 shared publications - Robert Beckmann
Institute of Networked Energy Systems, German Aerospace Center (DLR), Carl-von-Ossietzky-Straße 15, 26129 Oldenburg, Germany
2 shared publications
Latest Publications
- 25 January 2023
- Published by Elsevier in Journal of Power Sources
- Vol. 561
Semi-empirical cyclic aging model for stationary storages based on graphite anode aging mechanisms
- 25 January 2023
- Published by Elsevier in Journal of Power Sources
- Vol. 561
Semi-empirical cyclic aging model for stationary storages based on graphite anode aging mechanisms
- Open Access
- 1 January 2022
- Published by Elsevier in Journal of Energy Storage
- Vol. 45
Calendar aging model for lithium-ion batteries considering the influence of cell characterization
- 1 January 2022
- Published by Elsevier in Journal of Energy Storage
- Vol. 45
Open AccessCalendar aging model for lithium-ion batteries considering the influence of cell characterization
- Open Access
Incremental Capacity Analysis as a State of Health Estimation Method for Lithium-Ion Battery Modules with Series-Connected Cells
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.
Open AccessIncremental Capacity Analysis as a State of Health Estimation Method for Lithium-Ion Battery Modules with Series-Connected Cells
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.