Zeitstandverhalten unterschiedlich strukturierter Halbzeuge aus Polyvinylidenfluorid (PVDF) in Medien

Henkhaus, R.

doi:10.1002/maco.19900410403

Cited by 1 publication

(1 citation statement)

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“…Besides active material and mass loading, the temperature of the calender rolls plays a major role in the compaction behavior of electrode coatings, especially of cathodes, due to the thermoplastic deformation behavior of the commonly used binder polyvinylidene fluoride (PVDF). [15,38] Due to this, Meyer et al [15] investigated the calendering behavior of NMC111-cathodes with varied carbon black (CB) and binder contents at different roll temperatures. It was shown based on a comparison of electrodes with different mass loadings that the compaction resistance decreases with the rising temperature of the calender rolls.…”

Section: Empirical Modelingmentioning

confidence: 99%

Insights into Influencing Electrode Calendering on the Battery Performance

Abdollahifar

Cavers

Scheffler

et al. 2023

Advanced Energy Materials

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As the demand for lithium‐ion batteries (LIBs) continuously grows, the necessity to improve their efficiency/performance also grows. For this reason, optimization of the individual production steps is critical. Calendering is a crucial production step whereby electrode coatings are compacted to targeted densities. This process affects the porosity, adhesion, thickness, wettability, and charge transport properties of the electrodes, as well as the homogeneity of the coatings. Optimal calendered electrodes improve volumetric energy density, cyclic stability, and rate capability of the cells and also enhance the structural stability of the active material, which affects electrode safety and polarization. This article outlines the fundamental processes and mechanisms, as well as how modeling, simulation, and tomography can be used to optimize these processes. Additionally, the influence of calendering on a wide range of anode and cathode active materials is discussed. This review serves to give a deeper understanding into the calendering process‐structure‐performance relationships, and how they can be optimized to improve the performance of LIBs.

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Section: Empirical Modelingmentioning

confidence: 99%