Diffusion Coefficients in Propylene Carbonate, Dimethyl Formamide, Acetonitrile, and Methyl Formate

Sullivan, Jeffrey M.; Hanson, Douglas C.; Keller, R.

doi:10.1149/1.2407628

Cited by 44 publications

(25 citation statements)

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“…(4) and (8), and diffusion coefficients D i, j of lithium ion and anion are estimated from Ref. (9). Permittivity ε L, j of liquid phase is an estimated value based on the present experiment.…”

Section: Resultsmentioning

confidence: 99%

Numerical Analysis on Charge Characteristics in Lithium Ion Batteries by Multiphase Fluids Model

Nishimura

2005

JSME international journal. Ser. B, Fluids and thermal engineer

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By improving our previous mathematical model for discharge (1) , we developed a simple model of charge characteristics for lithium ion batteries. Through numerical analysis, stable solutions can be obtained for various parameters and operated conditions. From these results, we accumulate understanding of transport phenomena during the charge. Furthermore, a detailed comparison of numerical and experimental results in a commercial battery for PC can be made. Those results concur reasonably well from the viewpoint of engineering applications. Consequently, we confirmed the validity of the simple model proposed here and the numerical method for coupling the equation of transport phenomena with the Poisson equation.

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Section: Resultsmentioning

confidence: 99%

Numerical Analysis on Charge Characteristics in Lithium Ion Batteries by Multiphase Fluids Model

Nishimura

2005

JSME international journal. Ser. B, Fluids and thermal engineer

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“…The bicontinuous electrode conductivity, σ ef f , is approximated by conduction through the two media in parallel with their volume fractions normalized to 1, such that . 38 The electrolyte conductivity depends on concentration and is taken from data on LiClO 4 in EC:PC, 39 where the 8.5 × 10 −3 S cm −1 maximum conductivity, σ e , is close to that of 1 M LiClO 4 in EC:DMC. 40,41 The lithium transference number, t + , is 0.363 based on LiPF 6 in EC:DMC because the transference number depends on the solvation radius of the anion, which is similar for PF 6 − and ClO 4 − .…”

Section: System Description and Modeling Approachmentioning

confidence: 99%

Performance Modeling and Design of Ultra-High Power Microbatteries

King¹

2017

J. Electrochem. Soc.

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High power density microbatteries could enable new capabilities for miniature sensors, radios, and industrial electronics. There is, however, a lack of understanding on how battery architecture and materials limit power performance when battery discharge rates exceed 100 C. This paper describes the development and application of an electrochemical model to predict the performance of microbatteries having interdigitated bicontinuous microporous electrodes, discharged at up to 600 C rates. We compare predicted battery behavior with measurements, and use the model to explore the underlying physics. The model shows that diffusion through the solid electrodes governs microbattery power performance. We develop design rules that could guide the development of improved batteries. High power density microbatteries would enable new capabilities for miniature sensors, radios, and industrial electronics.1-4 Recent improvements in electrode architectures, materials, and fabrication technologies have enabled microbatteries with power densities as high as 7.4 mW cm −2 μm −1 , which is about 100 times greater than power densities provided by larger conventional format batteries.5-9 The ultrahigh power densities were achieved by the simultaneous reduction of ion and electron transport resistances across the anode, cathode, and electrolyte. Fabricating electrodes with increasingly fine nanostructures that provide shorter ion and electron transport paths has been the main strategy for reducing transport resistances.2,5-7,10-18 However, as the electrode dimensions decrease, electrode fabrication and incorporating large volume fractions of high capacity materials into the nano architectures (important for obtaining high energy densities) become more difficult. Additionally, the larger surface area leads to increased SEI formation during battery fabrication. To realize both high power and high energy density, it is important to understand how battery architecture and materials affect the physical processes that limit power density and improve energy density, and to develop experimentally validated design rules that address the many engineering constraints in full battery assemblies.Simulations of battery operation, considering ion transport across both the anode and cathode regions, can be used to assist in battery design and optimization. A key parameter in understanding battery discharge is the C rate, where the time it takes to discharge a battery in one hour is 1 C rate. An X C rate discharge corresponds to a current density X times the 1 C rate current density. The validity of battery discharge models has rarely been explored above discharge rates of 25 C, [19][20][21][22][23][24][25][26][27][28][29][30][31][32] with only a few exceptions. 33-37 To our knowledge, there is no published work that validates models for batteries discharged at the 100-1000 C rates relevant to high power microbatteries. There is thus a need for an experimentally validated battery model that describes the physical processes that limit battery performan...

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“…The interfacial area per unit volume, a, was replaced by 3/Rp to eliminate the particle radius from this definition. The second dimensionless grouping RD L D, [25] …”

Section: Governing Equationsmentioning

confidence: 99%

On the Short‐Time Behavior of Porous Intercalation Electrodes

Darling

Newman

1997

J. Electrochem. Soc.

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The reaction-rate distribution in a porous electrode containing an intercalation compound is examined theoretically. Particular attention is paid to the influence of the exchange current density on the propagation of the reaction through the depth of the electrode at short times. The governing differential equations are nondimensionalized, linearized, and applied to semi-infinite electrode and separator regions. A Laplace transform of the solution to this problem is presented, and asymptotes are developed for short and moderate times. These limiting forms are compared to the results of numerical simulations. The short-time reaction-rate distribution consistent with the assumption of an arbitrarily large exchange current density is presented and analyzed.

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Diffusion Coefficients in Propylene Carbonate, Dimethyl Formamide, Acetonitrile, and Methyl Formate

Abstract: not Available.

Cited by 44 publications

References 1 publication

Numerical Analysis on Charge Characteristics in Lithium Ion Batteries by Multiphase Fluids Model

Numerical Analysis on Charge Characteristics in Lithium Ion Batteries by Multiphase Fluids Model

Performance Modeling and Design of Ultra-High Power Microbatteries

On the Short‐Time Behavior of Porous Intercalation Electrodes

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