A method to quantify coating thickness and porosity of electrodes for lithium-ion-batteries

Just, P.-E.; Rost, J.; Echelmeyer, Thomas; Ebert, L.; Roscher, Michael A.

doi:10.1016/j.measurement.2016.04.001

Cited by 19 publications

(9 citation statements)

References 4 publications

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“…Furthermore with this approach we measure the relevant porosity for the use as electrode porosity, the porosity that can be accessed by the electrolyte in question, which is different compared to what is measure by BET for instance (Klinkenberg, 1941). Electrode porosity is a crucial electrode parameter as it strongly influences battery performance (Fongy et al, 2010a,b;Strobridge et al, 2015;Just, 2016;Liu et al, 2017). Generally, a larger porosity favors Li-ion transport allowing larger (dis)charge (Singh et al, 2013b;Just, 2016) at the expense of the volumetric density Singh et al, 2016) and electrical conductivity of the electrode (Wang and Hong, 2007;Fongy et al, 2010a).…”

Section: Resultsmentioning

confidence: 99%

“…Electrode porosity is a crucial electrode parameter as it strongly influences battery performance (Fongy et al, 2010a,b;Strobridge et al, 2015;Just, 2016;Liu et al, 2017). Generally, a larger porosity favors Li-ion transport allowing larger (dis)charge (Singh et al, 2013b;Just, 2016) at the expense of the volumetric density Singh et al, 2016) and electrical conductivity of the electrode (Wang and Hong, 2007;Fongy et al, 2010a). The optimum seems to be reached by a certain porosity gradient (Du et al, 2017;Liu et al, 2017).…”

Section: Resultsmentioning

confidence: 99%

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Operando Neutron Depth Profiling to Determine the Spatial Distribution of Li in Li-ion Batteries

Verhallen

Wagemaker

2018

Front. Energy Res.

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Neutron Depth Profiling (NDP) allows determination of the spatial distribution of specific isotopes, via neutron capture reactions. In a capture reaction charged particles with fixed kinetic energy are formed, where their energy loss through the material of interest can be used to provide the depth of the original isotope. As lithium-6 has a relatively large probability for such a capture reaction, it can be used by battery scientists to study the lithium concentration in the electrodes even during battery operation. The selective measurement of the 6 Li isotope makes it a direct and sensitive technique, whereas the penetrative character of the neutrons allows practical battery pouch cells to be studied. Using NDP lithium diffusion and reaction rates can be studied operando as a function of depth, opening a large range of opportunities including the study of alloying reactions, metal plating, and (de) intercalation in insertion hosts. In the study of high rate cycling of intercalation materials the relatively low Li density challenges counting statistics while the limited change in electrode density due to the Li-ion insertion and extraction allows straightforward determination of the Li density as a function of electrode depth. If an electrode can be (dis)charged reversibly, data can be acquired and accumulated over multiple cycles to increase the time resolution. For Li metal plating and alloying reactions, the large lithium density allows good time resolution, however the large change of the electrode composition and density makes extracting the Li-density as a function of depth more challenging. Here an effective method is presented, using calibration measurements of the individual components, based on which the ratio of the components as a function of depth can be determined as well as the total Li-density. The same principles can be applied to insertion host materials, where the differences in density due to electrolyte infiltration yield the electrode porosity as a function of depth. This is of particular importance for battery electrodes where porosity has a direct influence on the energy density and charge transport.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Operando Neutron Depth Profiling to Determine the Spatial Distribution of Li in Li-ion Batteries

Verhallen

Wagemaker

2018

Front. Energy Res.

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“…The calculated porosity was 39 and 32% for negative and positive electrodes, respectively. 52 The cell was assembled by stacking a positive electrode/ separator (polyethylene)/negative electrode, and the injected electrolyte amount was 0.5 g. The stack was sealed in a pouch-type cell to evaluate its electrochemical performance with external pressure of 1.0 MPa by pressure-controlled jig. 53 Before performing electrochemical characterization, the 24 h of room temperature rest period is applied for penetration of the electrolyte into the electrode stack.…”

Section: Methodsmentioning

confidence: 99%

Interphasial Engineering via Individual Moiety Functionalized Organosilane Single-Molecule for Extreme Quick Rechargeable SiO/NCM811 Lithium-Ion Batteries

Kim

Park

et al. 2021

ACS Appl. Mater. Interfaces

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The individual moiety-functionalized organosilane single molecule, that is, 1,1,1,5,5,5-hexamethyl-3-[(trimethylsilyl)oxy]-3-vinyltrisiloxane (TMSV), is investigated as an electrolyte additive for a less charge-consuming and viscoelastic solid electrolyte interphase (SEI) forming agent, finally accomplishing extremely quick (6 min) rechargeable SiO/NCM811 lithium-ion batteries. The moiety of the vinyl group serves with a poly(ethylene oxide)-like viscoelastic SEI film on the SiO electrode, which provides a physicochemically stable interphase during long-term cycling. The increase of DC-iR due to electrolyte decomposition on the continuously exposed SiO surface with cycling is inhibited by the alternated SEI composition. Degradation of bulk electrolyte solution caused by thermal decomposition of the LiPF6 salt is also suppressed by the trimethylsilyl moiety in the TMSV additive, which scavenges HF. Owing to the multifunctionality of TMSV, the cycle performance of laminated pouch full cells comprising high-nickel-contented NCM811 positive electrode and SiO-enriched negative electrode is significantly improved at both room and elevated temperatures. Furthermore, the 6 min quick recharging cycle performance is also enhanced by the TMSV additive.

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“…For example, the coating thickness can be measured at various points in production using appropriate sensors, such as a laser triangulation or inductive measurement. [ 46 ] Similarly, in the separation and stack formation steps, camera‐based measurement methods are used to measure positioning accuracy. [ 47,48 ] However, this could be insufficient, especially for stack assembly, because the position and three‐dimensional shape of the individual sheets can change during the stacking process, as well as, during further processing of the stack.…”

Section: Current and Near‐future Developments In Digitalization Of Th...mentioning

confidence: 99%

Digitalization of Battery Manufacturing: Current Status, Challenges, and Opportunities

Ayerbe

Berecibar

Clark

et al. 2021

Advanced Energy Materials

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As the world races to respond to the diverse and expanding demands for electrochemical energy storage solutions, lithium-ion batteries (LIBs) remain the most advanced technology in the battery ecosystem. Even as unprecedented demand for state-of-the-art batteries drives gigascale production around the world, there are increasing calls for next-generation batteries that are safer, more affordable, and energy-dense. These trends motivate the intense pursuit of battery manufacturing processes that are cost effective, scalable, and sustainable. The digital transformation of battery manufacturing plants can help meet these needs. This review provides a detailed discussion of the current and nearterm developments for the digitalization of the battery cell manufacturing chain and presents future perspectives in this field. Current modelling approaches are reviewed, and a discussion is presented on how these elements can be combined with data acquisition instruments and communication protocols in a framework for building a digital twin of the battery manufacturing chain. The challenges and emerging techniques provided here is expected to give scientists and engineers from both industry and academia a guide toward more intelligent and interconnected battery manufacturing processes in the future.The ORCID identification number(s) for the author(s) of this article can be found under https://doi.org/10.1002/aenm.202102696.

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A method to quantify coating thickness and porosity of electrodes for lithium-ion-batteries

Cited by 19 publications

References 4 publications

Operando Neutron Depth Profiling to Determine the Spatial Distribution of Li in Li-ion Batteries

Operando Neutron Depth Profiling to Determine the Spatial Distribution of Li in Li-ion Batteries

Interphasial Engineering via Individual Moiety Functionalized Organosilane Single-Molecule for Extreme Quick Rechargeable SiO/NCM811 Lithium-Ion Batteries

Digitalization of Battery Manufacturing: Current Status, Challenges, and Opportunities

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