Three‐Phase Reconstruction Reveals How the Microscopic Structure of the Carbon‐Binder Domain Affects Ion Transport in Lithium‐Ion Batteries

Kroll, Moritz; Karstens, Sarah L.; Cronau, Marvin; Höltzel, Alexandra; Schlabach, Sabine; Nobel, Nikita; Redenbach, Claudia; Roling, Bernhard; Tallarek, Ulrich

doi:10.1002/batt.202100057

Cited by 29 publications

(27 citation statements)

References 71 publications

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“…Figures 6 and 7) confirm that electrode design and filling process have a huge effect on battery performance. As was shown previously in experiments [11,14,18,69] and simulations, [11,44] especially structural properties of the electrodes play an important role. The larger the pores are and the better they are connected, the better is the effective ionic conductivity and the more surface area remains electrochemically active.…”

Section: Resultssupporting

confidence: 58%

“…The influence on the geodesic tortuosities as a measure for the effective conductivity is shown in Figure 6. Adding binder in general increases the tortuosity by approximately 10 % [69] . Moreover,

τ_{end}

behaves inversely proportional to

S_{final}^{E}

(cf.…”

Section: Resultsmentioning

confidence: 95%

“…The residual gas phase with its low ionic conductivity, is known to have a twofold impact on the battery performance [3–6,11,44,69] . Gas agglomerates inhibit the ion transport, leading to longer transport pathways, and thereby decreasing the effective ionic conductivity.…”

Section: Resultsmentioning

confidence: 99%

“…Then, also entrapped gas is an obstacle for densities exceeding

ρ^{normalG} \geq 0.5

. In case of simulations with binder (IDs 9–14), an additional weighting factor

w_{B}

accounts for increased path lengths within a binder [69] . More precisely, the equation

w_{normalB} = φ_{B}^{^{'} - 0.5}

is used, which corresponds to the Bruggeman relation [70] and the frequently used Bruggeman exponent of −0.5 [71,72] …”

Section: Simulation Setupmentioning

confidence: 99%

See 3 more Smart Citations

Understanding Electrolyte Filling of Lithium‐Ion Battery Electrodes on the Pore Scale Using the Lattice Boltzmann Method

Lautenschlaeger

Prifling

Benjamin

et al. 2022

Batteries & Supercaps

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Electrolyte filling is a time-critical step during battery manufacturing that also affects battery performance. The underlying physical phenomena mainly occur on the pore scale and are hard to study experimentally. Therefore, here, the lattice Boltzmann method is used to study the filling of realistic 3D lithium-ion battery cathodes. Electrolyte flow through the nanoporous binder is modelled adequately. Besides process time, the influences of particle size, binder distribution, volume fraction and wetting behavior of active material and binder are investigated. Optimized filling conditions are discussed by pressure-saturation relationships. It is shown how the influencing factors affect the electrolyte saturation. The amount and distribution of entrapped residual gas are analyzed in detail. Both can adversely affect the battery performance. The results indicate how the filling process, the final electrolyte saturation, and also the battery performance can be optimized by adapting process parameters as well as electrode and electrolyte design.

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Section: Resultssupporting

confidence: 58%

τ_{end}

behaves inversely proportional to

S_{final}^{E}

(cf.…”

Section: Resultsmentioning

confidence: 95%

Section: Resultsmentioning

confidence: 99%

“…Then, also entrapped gas is an obstacle for densities exceeding

ρ^{normalG} \geq 0.5

. In case of simulations with binder (IDs 9–14), an additional weighting factor

w_{B}

accounts for increased path lengths within a binder [69] . More precisely, the equation

w_{normalB} = φ_{B}^{^{'} - 0.5}

is used, which corresponds to the Bruggeman relation [70] and the frequently used Bruggeman exponent of −0.5 [71,72] …”

Section: Simulation Setupmentioning

confidence: 99%

See 2 more Smart Citations

Understanding Electrolyte Filling of Lithium‐Ion Battery Electrodes on the Pore Scale Using the Lattice Boltzmann Method

Lautenschlaeger

Prifling

Benjamin

et al. 2022

Batteries & Supercaps

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“…The measurements were performed at 0 % state of charge (SOC), i. e., under ion‐blocking‐conditions. In this case, the impedance Z SOC0 can be described in the framework of a specific transmission line model: [24–26]

true Z_{normalS normalO normalC 0} = \sqrt{\frac{R_{normali normalo normaln}}{Q_{D L} {(j ω)}^{β}}} \coth ((), \sqrt{R_{i o n} Q_{D L} {(j ω)}^{β}})

…”

Section: Resultsmentioning

confidence: 99%

What Limits the Rate Capability of Ultrathick Composite Electrodes in Lithium‐Ion Batteries? A Case Study on the Thickness‐Dependent Impedance of LiCoO₂ Cathodes

Cronau

Paulus

Pescara

et al. 2022

Batteries & Supercaps

Self Cite

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Increasing the thickness of composite electrodes in lithium‐ion batteries from about 80–100 μm in state‐of‐the‐art commercial cells to several 100 μm would enhance the energy density, however at the expense of the power density. Despite this common knowledge, quantitative studies on the impedance and rate capability of composite electrode in dependence of the electrode thickness are scarce. Therefore, we have carried out a case study on LiCoO2 composite electrodes with thicknesses up to about 250 μm. We first demonstrate that conventional composite electrode preparation leads to ion transport tortuosities in the electrolyte‐filled pores, which are virtually independent of the thickness. The thickness‐dependent impedance of these electrodes decreases with increasing thickness and follows the predictions of a generalized transmission line (GTLM) model. We use the GTLM model for analyzing in what way cycling of ultrathick electrodes (250–300 μm) with a rate of 1 C should be achievable.

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Tailoring Interfacial Structures to Regulate Carrier Transport in Solid‐State Batteries

Deng,

Chen,

Yang

et al. 2024

Advanced Materials

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Solid‐state lithium‐ion batteries (SSLIBs) have been considered as the priority candidate for next‐generation energy storage system, due to their advantages in safety and energy density compare with conventional liquid electrolyte systems. However, the introduction of numerous solid‐solid interfaces results in a series of issues, hindering the further development of SSLIBs. Therefore, a thorough understanding on the interfacial issues is essential to promote the practical applications for SSLIBs. In this review, the interface issues are discussed from the perspective of transportation mechanism of electrons and lithium ions, including internal interfaces within cathode/anode composites and solid electrolytes (SEs), as well as the apparent electrode/SEs interfaces. The corresponding interface modification strategies, such as passivation layer design, conductive binders, and thermal sintering methods, are comprehensively summarized. Through establishing the correlation between carrier transport network and corresponding battery electrochemical performance, the design principles for achieving a selective carrier transport network are systematically elucidated. Additionally, the future challenges are speculated and research directions in tailoring interfacial structure for SSLIBs. By providing the insightful review and outlook on interfacial charge transfer, the industrialization of SSLIBs are aimed to promoted.

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Three‐Phase Reconstruction Reveals How the Microscopic Structure of the Carbon‐Binder Domain Affects Ion Transport in Lithium‐Ion Batteries

Cited by 29 publications

References 71 publications

Understanding Electrolyte Filling of Lithium‐Ion Battery Electrodes on the Pore Scale Using the Lattice Boltzmann Method

Understanding Electrolyte Filling of Lithium‐Ion Battery Electrodes on the Pore Scale Using the Lattice Boltzmann Method

What Limits the Rate Capability of Ultrathick Composite Electrodes in Lithium‐Ion Batteries? A Case Study on the Thickness‐Dependent Impedance of LiCoO₂ Cathodes

Tailoring Interfacial Structures to Regulate Carrier Transport in Solid‐State Batteries

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Three‐Phase Reconstruction Reveals How the Microscopic Structure of the Carbon‐Binder Domain Affects Ion Transport in Lithium‐Ion Batteries

Cited by 29 publications

References 71 publications

Understanding Electrolyte Filling of Lithium‐Ion Battery Electrodes on the Pore Scale Using the Lattice Boltzmann Method

Understanding Electrolyte Filling of Lithium‐Ion Battery Electrodes on the Pore Scale Using the Lattice Boltzmann Method

What Limits the Rate Capability of Ultrathick Composite Electrodes in Lithium‐Ion Batteries? A Case Study on the Thickness‐Dependent Impedance of LiCoO2 Cathodes

Tailoring Interfacial Structures to Regulate Carrier Transport in Solid‐State Batteries

Contact Info

Product

Resources

About

What Limits the Rate Capability of Ultrathick Composite Electrodes in Lithium‐Ion Batteries? A Case Study on the Thickness‐Dependent Impedance of LiCoO₂ Cathodes