Microscale Engineering for the Structural Integrity and Transport Properties of Electrode Material in Li-ion Batteries.
TL;DRAbstract
Aggregation between additive particles and active particles in the electrodes of Li-ion batteries is an important process for lithium-ion batteries in that it strongly affects mechanical stability, transport properties, utilization, and gravimetric and volumetric power/energy density. Transport properties, which encompass electrical conductivity, diffusion of lithium ions and reaction rate at the solid/electrolyte interface, determine the power performance of batteries. However, fracture has been experimentally observed in the electrode aggregates. Fracture is a putative degradation mechanism of lithium-ion batteries, one that may cause the rupture of electrode particles and disruption of conductive path, and thus adversely affect the structural integrity as well as transport properties of electrodes. This thesis proposes two three-dimensional simulation models, in which Brownian dynamics and the Monte Carlo method are employed, respectively, to simulate the aggregation process of cond
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Aggregation between additive particles and active particles in the electrodes of Li-ion batteries is an important process for lithium-ion batteries in that it strongly affects mechanical stability, transport properties, utilization, and gravimetric and volumetric power/energy density. Transport properties, which encompass electrical conductivity, diffusion of lithium ions and reaction rate at the solid/electrolyte interface, determine the power performance of batteries. However, fracture has been experimentally observed in the electrode aggregates. Fracture is a putative degradation mechanism of lithium-ion batteries, one that may cause the rupture of electrode particles and disruption of conductive path, and thus adversely affect the structural integrity as well as transport properties of electrodes. This thesis proposes two three-dimensional simulation models, in which Brownian dynamics and the Monte Carlo method are employed, respectively, to simulate the aggregation process of cond
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