Electrochemical Evaluation of Active Materials for Lithium Ion Batteries by One (Single) Particle Measurement

Kanamura, Kiyoshi; Yamada, Yoshio; Annaka, Koji; Nakata, Natsuko; Munakata, Hirokazu

doi:10.5796/electrochemistry.84.759

Cited by 28 publications

(16 citation statements)

References 19 publications

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“…To clarify these problems, investigations of the electrochemical properties of a single active material particle are required. Single-particle measurement, using a current-collecting probe that consists of a glass-covered thin metal wire, is reported as a method for investigating electrochemical properties on a micrometer-order reaction region of a battery material. , In this method, the carrying current is very small (of the order of nA), and therefore, it is possible to largely eliminate the influence of IR drop attributed to the essential resistance of the material (bulk, interfacial, diffusion, etc. ) and the resistance of the cell.…”

Section: Introductionmentioning

confidence: 99%

Precise Analysis of Resistance Components and Estimation of Number of Particles in Li-Ion Battery Electrode Sheets Using LiCoO₂ Single-Particle Electrochemical Properties

et al. 2020

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The research and development of secondary batteries, such as the lithium-ion batteries, have been widely conducted. Most electrodes are of composite type and comprise an active material, a conductive additive, and a binder. To achieve a precise analysis of electrochemical properties for only an active material, electrochemical measurement of a single particle of an active material was carried out using an ultramicroelectrode in an Ar-filled glovebox under an inert atmosphere. Although detection of cyclic voltammetry and resistance values of LiCoO 2 (LCO) secondary particles has been reported using a single-particle electrode, we succeeded in achieving the first detailed analysis of capacity and resistance components of a single active material particle by charge− discharge and alternating current impedance measurements using LCO primary particles to elucidate the battery reaction process. The capacity values of LCO single particles were detected in units of mA h g −1 , whose values were close to the theoretical capacity values of LCO single particles based on their mass and size. The resistance components of an LCO single particle were detected by alternating current impedance spectroscopy, which cannot be measured in conventional electrode systems, such as applied sheet materials. A resistance model for the active material is proposed.

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Section: Introductionmentioning

confidence: 99%

Precise Analysis of Resistance Components and Estimation of Number of Particles in Li-Ion Battery Electrode Sheets Using LiCoO₂ Single-Particle Electrochemical Properties

et al. 2020

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“…This value is around the typical order of magnitude found for graphite AM. 6,35 In conclusion, a 3-electrode based model (Eq. 1-5) may be used to fit 2-electrode data to estimate solid-diffusion coefficient values.…”

Section: Resultsmentioning

confidence: 92%

Guidelines for the Analysis of Data from the Potentiostatic Intermittent Titration Technique on Battery Electrodes

Malifarge

Delobel

Delacourt

2017

J. Electrochem. Soc.

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The Li-ion battery (LIB) modeling community needs to rely on a vast bank of measured Li-ion cell parameters. Most of them are determined by routine experiments but some can solely be estimated by fitting a model to a well-designed experiment. For instance, the determination of the lithium chemical diffusion coefficient has been the focus of numerous studies. Specific techniques have been proposed for its estimation, e.g., the potentiostatic intermittent titration technique (PITT), the galvanostatic intermittent titration technique (GITT), the cyclic voltammetry (CV), and the electrochemical impedance spectroscopy (EIS). Our study focuses on the PITT so as to provide guidelines for experimental measurements and corresponding data analysis. The validity of underlying assumptions of published analytic solutions used to fit PITT data is assessed using a pseudo-2D (P2D) model. Among the tested assumptions are the drop of the porous-electrode effect, of the particle size distribution and of the finite kinetics of Li insertion/de-insertion. Tests are also conducted to assess the error made on the chemical diffusion coefficient and reaction-rate constant determination by fitting 2-electrode simulated data with a 3-electrode P2D model. Lithium-ion battery (LIB) cell energy density has been greatly enhanced over the years owing to research in new materials and electrode engineering.1 Further improvement of LIB energy density is possible by packing more active material within the electrodes. However, doing this usually trades off with a power decrease as lithium-ion transport in the liquid phase becomes a major issue in thick and/or dense porous electrodes.2 Nonetheless, a compromise is still achievable through engineering of the electrode fabrication process, i.e., by tuning the electrode microstructure to optimize the ion and electron transport paths. This would decrease electrode nonuniformities that appear during cell operation, e.g., in terms of state of charge, liquidphase salt concentration, and solid/liquid-phase potentials.3 On this matter, LIB physical models prove an efficient tool to shed light on phenomena such as the development of concentration/potential gradients across the cell. Moreover, LIB models are tunable to the studied physics and cost effective compared to an experimental trial-and-error process, which makes them well-suited to determine parameters that optimize the porous-electrode design depending on the application. It also helps to assess the possible occurrence of unwanted phenomena such as Li metal plating. Among these models, the pseudo-2D (P2D) one introduced by Newman group in the early nineties is a widely used continuum model. 4,5 It relies on porous-electrode and concentrated-solution theories. In this model, the porous electrode is described as the superposition of the liquid and solid phases that are defined by their respective volume fractions and the interfacial surface area. Electrode properties are averaged over volume elements that are small compared to the overall dimension of t...

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“…2a), assuming that all the graphite particles have been fully lithiated. For a mean dimension of (15 x 8 x 1) µm 3 for the particle size (Fig. 2d), a total number of about 4000 particles inside the cavity was obtained.…”

Section: Resultsmentioning

confidence: 99%

“…Interestingly, several techniques have been devised for studying the active material only (i.e. without any additive), and most of them required the use of microelectrode-based techniques [2][3][4]. Indeed, it consists in contacting a single particle of material with a current collector and to perform electrochemical measurements on the selected grain.…”

Section: Introductionmentioning

confidence: 99%

Electrochemical behavior of pure graphite studied with a powder microelectrode

Gruet

Delobel

Sicsic

et al. 2018

Electrochemistry Communications

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In this work, cyclic voltammetry and electrochemical impedance spectroscopy (EIS) techniques have been used to study the lithiation/delithiation of graphite using powder microelectrode in a 1.2 M LiPF 6 in EC:EMC electrolyte. The advantage of using the powder microelectrode is the possibility to easily study graphite without any additive and determine electrochemical characteristic of Li-insertion. The use of cyclic voltammetry at very low scan rates allows to estimate the diffusion coefficient of lithium inside graphite. The exchange current density of graphite for several state of charge (SoC) has also been determined by EIS measurements. Moreover, the powder microelectrode is a useful tool to study the formation of the solid electrolyte interphase (SEI) on graphite whether by cyclic voltammetry or EIS.

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Electrochemical Evaluation of Active Materials for Lithium Ion Batteries by One (Single) Particle Measurement

Cited by 28 publications

References 19 publications

Precise Analysis of Resistance Components and Estimation of Number of Particles in Li-Ion Battery Electrode Sheets Using LiCoO₂ Single-Particle Electrochemical Properties

Precise Analysis of Resistance Components and Estimation of Number of Particles in Li-Ion Battery Electrode Sheets Using LiCoO₂ Single-Particle Electrochemical Properties

Guidelines for the Analysis of Data from the Potentiostatic Intermittent Titration Technique on Battery Electrodes

Electrochemical behavior of pure graphite studied with a powder microelectrode

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Electrochemical Evaluation of Active Materials for Lithium Ion Batteries by One (Single) Particle Measurement

Cited by 28 publications

References 19 publications

Precise Analysis of Resistance Components and Estimation of Number of Particles in Li-Ion Battery Electrode Sheets Using LiCoO2 Single-Particle Electrochemical Properties

Precise Analysis of Resistance Components and Estimation of Number of Particles in Li-Ion Battery Electrode Sheets Using LiCoO2 Single-Particle Electrochemical Properties

Guidelines for the Analysis of Data from the Potentiostatic Intermittent Titration Technique on Battery Electrodes

Electrochemical behavior of pure graphite studied with a powder microelectrode

Contact Info

Product

Resources

About

Precise Analysis of Resistance Components and Estimation of Number of Particles in Li-Ion Battery Electrode Sheets Using LiCoO₂ Single-Particle Electrochemical Properties

Precise Analysis of Resistance Components and Estimation of Number of Particles in Li-Ion Battery Electrode Sheets Using LiCoO₂ Single-Particle Electrochemical Properties