Details
| Original language | English |
|---|---|
| Article number | 050538 |
| Journal | Journal of the Electrochemical Society |
| Volume | 2021 |
| Issue number | 168 |
| Publication status | Published - 20 May 2021 |
Abstract
Simulating the properties of lithium ion cells during charging becomes more and more important to understand the ongoing effects during fast charging. In this work special emphasis is given to the modelling of metallic lithium deposition on the surface of negative electrode particles, so-called lithium plating, and the linked mechanical behaviour. The basis of the parametrization of the electrochemical model was a previously published experimental study on the pressure behaviour under lithium plating conditions. The developed and parametrized simple pseudo two-dimensional model reproduces the experimental study on lithium plating with a satisfying accuracy of simulated voltage and pressure trend. The model enables prediction of lithium deposition onset by matching measured pressure behaviour to the model. In addition to reproducing the cell behaviour, the model was used to optimize a measurement based fast charging protocol by using the negative electrode potential. The optimization of the fast charging protocol resulted in a 6.3% decreased charging time from 0 to 85%SoC while using a maximum C-rate of 3C. A verification of the model-based optimization has been shown by short experimental study.
ASJC Scopus subject areas
- Materials Science(all)
- Electronic, Optical and Magnetic Materials
- Energy(all)
- Renewable Energy, Sustainability and the Environment
- Materials Science(all)
- Surfaces, Coatings and Films
- Chemistry(all)
- Electrochemistry
- Materials Science(all)
- Materials Chemistry
Sustainable Development Goals
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In: Journal of the Electrochemical Society, Vol. 2021, No. 168, 050538, 20.05.2021.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Model based investigation of lithium deposition including an optimization of fast charging lithium ion cells
AU - Hovestadt, L.
AU - Lux, S.
AU - Koellner, N.
AU - Schloesser, A.
AU - Hanke-Rauschenbach, R.
PY - 2021/5/20
Y1 - 2021/5/20
N2 - Simulating the properties of lithium ion cells during charging becomes more and more important to understand the ongoing effects during fast charging. In this work special emphasis is given to the modelling of metallic lithium deposition on the surface of negative electrode particles, so-called lithium plating, and the linked mechanical behaviour. The basis of the parametrization of the electrochemical model was a previously published experimental study on the pressure behaviour under lithium plating conditions. The developed and parametrized simple pseudo two-dimensional model reproduces the experimental study on lithium plating with a satisfying accuracy of simulated voltage and pressure trend. The model enables prediction of lithium deposition onset by matching measured pressure behaviour to the model. In addition to reproducing the cell behaviour, the model was used to optimize a measurement based fast charging protocol by using the negative electrode potential. The optimization of the fast charging protocol resulted in a 6.3% decreased charging time from 0 to 85%SoC while using a maximum C-rate of 3C. A verification of the model-based optimization has been shown by short experimental study.
AB - Simulating the properties of lithium ion cells during charging becomes more and more important to understand the ongoing effects during fast charging. In this work special emphasis is given to the modelling of metallic lithium deposition on the surface of negative electrode particles, so-called lithium plating, and the linked mechanical behaviour. The basis of the parametrization of the electrochemical model was a previously published experimental study on the pressure behaviour under lithium plating conditions. The developed and parametrized simple pseudo two-dimensional model reproduces the experimental study on lithium plating with a satisfying accuracy of simulated voltage and pressure trend. The model enables prediction of lithium deposition onset by matching measured pressure behaviour to the model. In addition to reproducing the cell behaviour, the model was used to optimize a measurement based fast charging protocol by using the negative electrode potential. The optimization of the fast charging protocol resulted in a 6.3% decreased charging time from 0 to 85%SoC while using a maximum C-rate of 3C. A verification of the model-based optimization has been shown by short experimental study.
KW - Deposition
KW - Electrodes
KW - Lithium-ion batteries
KW - System-on-chip
KW - Charging protocols
KW - Electrochemical modeling
KW - Model based optimization
KW - Plating conditions
KW - Two dimensional model
KW - Fast charging (Batteries)
UR - http://www.scopus.com/inward/record.url?scp=85107565487&partnerID=8YFLogxK
U2 - 10.1149/1945-7111/abfd75
DO - 10.1149/1945-7111/abfd75
M3 - Article
AN - SCOPUS:85107565487
VL - 2021
JO - Journal of the Electrochemical Society
JF - Journal of the Electrochemical Society
SN - 0013-4651
IS - 168
M1 - 050538
ER -