Abstract
During the manufacturing of lithium-ion batteries, calendering is the final step in electrode production. It is a crucial process, which significantly influences the mechanical and electrochemical properties of the electrodes and is decisive in defining the volumetric energy density of lithium-ion batteries. To predict the calendering parameters, a particle model using the discrete element method (DEM) is calibrated based on a parameterization framework. The parameterization methodology for calibration applied in this paper is universally valid, applicable to various material systems and based on a one-factor-at-a-time variation to reduce the number of parameters. With this reduced parameter set, an automatic parametrization using optimization algorithms is feasible.
| Original language | English |
|---|---|
| Pages (from-to) | 91-97 |
| Number of pages | 7 |
| Journal | Procedia CIRP |
| Volume | 104 |
| DOIs | |
| State | Published - 2021 |
| Event | 54th CIRP Conference on Manufacturing Ssystems, CMS 2021 - Patras, Greece Duration: 22 Sep 2021 → 24 Sep 2021 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- calendering
- discrete element method (DEM)
- electrode production
- lithium-ion battery
- process modeling
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