Quantification of aging mechanisms and inhomogeneity in cycled lithium-ion cells by differential voltage analysis. (October 2019)
- Record Type:
- Journal Article
- Title:
- Quantification of aging mechanisms and inhomogeneity in cycled lithium-ion cells by differential voltage analysis. (October 2019)
- Main Title:
- Quantification of aging mechanisms and inhomogeneity in cycled lithium-ion cells by differential voltage analysis
- Authors:
- Fath, Johannes Philipp
Dragicevic, Daniel
Bittel, Laura
Nuhic, Adnan
Sieg, Johannes
Hahn, Severin
Alsheimer, Lennart
Spier, Bernd
Wetzel, Thomas - Abstract:
- Graphical abstract: Highlights: Pattern search algorithm suitable for differential voltage analysis. Lithium distribution determined by superposition of half-cell potentials. Quantification of losses of active material and cyclable lithium. Calculation of mean loss rates useful for lifetime prediction models. Abstract: Understanding the aging behavior in lithium-ion cells for automotive applications and its underlying physical-chemical degradation processes that lead to a decrease in energy and power density is crucial for the prediction of battery lifetime. Furthermore, the process of parameterization for physical-chemical motivated models with implemented aging mechanisms is a challenging task. In this work, we present a technique to quantify the loss of cyclable lithium and the decrease of electrode capacities. In addition, the inhomogeneous distribution of lithium inside the cell is estimated by introducing a fit factor to describe the vanishing of peaks in the first derivative of the open circuit voltage curve in respect to state of charge. Differential voltage analysis is performed using an algorithm inspired by pattern search. The algorithm uses the idea of superpositioning multiple open circuit voltage curves with individual distribution of losses. A dataset of ten automotive pouch cells with NMC-622 cathode and graphite anode that were cycled with varying load profiles is used for testing and validation of the method. The method reveals significant differences inGraphical abstract: Highlights: Pattern search algorithm suitable for differential voltage analysis. Lithium distribution determined by superposition of half-cell potentials. Quantification of losses of active material and cyclable lithium. Calculation of mean loss rates useful for lifetime prediction models. Abstract: Understanding the aging behavior in lithium-ion cells for automotive applications and its underlying physical-chemical degradation processes that lead to a decrease in energy and power density is crucial for the prediction of battery lifetime. Furthermore, the process of parameterization for physical-chemical motivated models with implemented aging mechanisms is a challenging task. In this work, we present a technique to quantify the loss of cyclable lithium and the decrease of electrode capacities. In addition, the inhomogeneous distribution of lithium inside the cell is estimated by introducing a fit factor to describe the vanishing of peaks in the first derivative of the open circuit voltage curve in respect to state of charge. Differential voltage analysis is performed using an algorithm inspired by pattern search. The algorithm uses the idea of superpositioning multiple open circuit voltage curves with individual distribution of losses. A dataset of ten automotive pouch cells with NMC-622 cathode and graphite anode that were cycled with varying load profiles is used for testing and validation of the method. The method reveals significant differences in the aging behavior and state of homogeneity of cells that cannot be obtained by solely analyzing capacity and resistance evolution. … (more)
- Is Part Of:
- Journal of energy storage. Volume 25(2019)
- Journal:
- Journal of energy storage
- Issue:
- Volume 25(2019)
- Issue Display:
- Volume 25, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 25
- Issue:
- 2019
- Issue Sort Value:
- 2019-0025-2019-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-10
- Subjects:
- Differential voltage analysis -- Inhomogeneous aging -- Lithium distribution -- Cyclic aging -- Pattern search
Energy storage -- Periodicals
Energy storage -- Research -- Periodicals
621.3126 - Journal URLs:
- http://www.sciencedirect.com/science/journal/2352152X ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.est.2019.100813 ↗
- Languages:
- English
- ISSNs:
- 2352-152X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11826.xml