A review of conduction phenomena in Li-ion batteries

Park, Myounggu; Zhang, Xiangchun; Chung, Myoungdo; Less, Gregory B.; Sastry, Ann Marie

doi:10.1016/j.jpowsour.2010.06.060

Cited by 1,477 publications

(1,128 citation statements)

References 288 publications

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“…If one was able to calculate this impedance based on the material and design specifications of the cell, this will enable the battery designers to optimize the cell design for a given application and corresponding real-time operation. The impedance in a porous LIB electrode is a mixture of multiple physical processes [21]:…”

Section: Influence Of Electrode Densitymentioning

confidence: 99%

Influence of Electrode Density on the Performance of Li-Ion Batteries: Experimental and Simulation Results

et al. 2016

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Lithium-ion battery (LIB) technology further enabled the information revolution by powering smartphones and tablets, allowing these devices an unprecedented performance against reasonable cost. Currently, this battery technology is on the verge of carrying the revolution in road transport and energy storage of renewable energy. However, to fully succeed in the latter, a number of hurdles still need to be taken. Battery performance and lifetime constitute a bottleneck for electric vehicles as well as stationary electric energy storage systems to penetrate the market. Electrochemical battery models are one of the engineering tools which could be used to enhance their performance. These models can help us optimize the cell design and the battery management system. In this study, we evaluate the ability of the Porous Electrode Theory (PET) to predict the effect of changing positive electrode density in the overall performance of Li-ion battery cells. It can be concluded that Porous Electrode Theory (PET) is capable of predicting the difference in cell performance due to a changing positive electrode density.

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Section: Influence Of Electrode Densitymentioning

confidence: 99%

Influence of Electrode Density on the Performance of Li-Ion Batteries: Experimental and Simulation Results

et al. 2016

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“…In recent years, we have structurally elucidated a number of alkaline earth as well as rare earth (oxo)nitridosilicates: e.g., LiCa 3 27 These compounds not only differ in their nominal amount of lithium in their formula units, but also exhibit different silicate substructures covering the whole range of dimensionality, i.e., from isolated groups over layered Si−N substructures up to three-dimensional networks.…”

Section: ■ Introductionmentioning

confidence: 99%

Li₁₄Ln₅[Si₁₁N₁₉O₅]O₂F₂ with Ln = Ce, Nd—Representatives of a Family of Potential Lithium Ion Conductors

et al. 2012

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The silicate layers consist of dreier and sechser rings interconnected via common corners, yielding an unprecedented silicate substructure. A topostructural analysis indicates possible 1D ion migration pathways between five crystallographic independent Li positions. The specific Li-ionic conductivity and its temperature dependence were determined by impedance spectroscopy as well as DC polarization/depolarization measurements. The ionic conductivity is on the order of 5 × 10 −5 S/cm at 300°C, while the activation energy is 0.69 eV. Further adjustments of the defect chemistry (e.g., through doping) can make these compounds interesting candidates for novel oxonitridosilicate based ion conductors. ■ INTRODUCTIONAs the need for mobile power supply and efficient energy storage has constantly increased in the last decades, rechargeable batteries have become a key technology in modern society. 1−4 In the effort to meet the demand for effective batteries, lithium based electrochemical devices play a major role; however, most make use of organic liquid electrolytes that require relatively stringent safety precautions and hence are rather inapplicable for a large range of applications (e.g., large-scale systems, medical devices). 1 Nonflammable, nonvolatile solid electrolytes have the potential to overcome these problems, but the assortment of materials that combine all of the basic requirements for all-solid-state batteries, i.e., high ionic conductivity at the operating temperature and a high chemical, electrochemical, and thermal stability, is still restricted. 5,6 Therefore, great effort has been put into the search for new solid electrolytes and a variety of crystalline, glassy, or composite materials have been considered. 1−3,7 Although Li 3 N has one of the highest ionic conductivities at room temperature (6 × 10 −3 S cm −1 ), novel materials are mostly oxides (e.g., Li 2+2x Zn 1-x GeO 4 (−0.36 < x < 0.87) 8 17 reported in the quasi-binary system Li 3 N−Si 3 N 4 , all show lithium ion conduction (for example Li 2 SiN 2 : σ(400 K) = 1 × 10 −3 S cm −1 ; Li 8 SiN 4 : σ(400 K) = 5 × 10 −2 S cm −1 ). 15,20,21 These facts lead us to expect perceptible Li ion conduction also in multinary lithium (oxo)nitridosilicates.In recent years, we have structurally elucidated a number of alkaline earth as well as rare earth (oxo) The complementary electrical conduction measurements prove that these compounds are indeed Li ion conductors with a very large ionic transference number. Yet, further adjustments of the defect chemistry of this material (e.g., through aliovalent cation doping) are required to obtain ionic conductivity values which might be interesting for battery applications.

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“…[8] Tr ansport through ac ertain layer (e.g.,o fc ompositionL i x Si)i sg overned by the permeability, P,t hat can be described as the product of the solubility, S,o f the transported species in the transport mediuma nd the diffusivity, D.T his can be expresseda sP = S·D. [17] Thes olubility used here is au nitless quantity,c alculated as the number of lithium atoms solute in the Li x Si phase divided by the total number of atoms.I no rder to measure lithium permeabilities and thus also diffusivities in Li x Si, multilayer samples were prepared (see Figure 1), which consisted of LiNbO 3 layers separated by Li x Si intermediate layers with x % 0.1.…”

Section: Resultsmentioning

confidence: 99%

“…[7] In this context, an important question is also whether electrode lithiation is al ithium-diffusion-or interface-reaction-controlled process. [8,9] Consequently,areliable determination of atomic/ionic transport properties is highly desirable.…”

Section: Introductionmentioning

confidence: 99%

Lithium Permeation through Thin Lithium–Silicon Films for Battery Applications Investigated by Neutron Reflectometry

et al. 2016

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In the ongoing search for new negative electrode materials for lithium‐ion batteries, amorphous silicon with a theoretical specific capacity of almost 4000 mA h g−1 is still one of the most promising candidates. In order to optimize cycling behavior, prelithiation of silicon is discussed as possible solution. Yet, little is known about kinetics in the Li‐Si system, especially with a low lithium content. Using neutron reflectometry as a tool, lithium permeation through amorphous LixSi layers was probed during annealing. From the results a lithium permeability (diffusivity×solubility) of P=(3.3±0.9)×10−21 m2 s−1 is derived for LixSi (x≈0.1), which is identical to that of pure amorphous silicon.

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A review of conduction phenomena in Li-ion batteries

Cited by 1,477 publications

References 288 publications

Influence of Electrode Density on the Performance of Li-Ion Batteries: Experimental and Simulation Results

Influence of Electrode Density on the Performance of Li-Ion Batteries: Experimental and Simulation Results

Li₁₄Ln₅[Si₁₁N₁₉O₅]O₂F₂ with Ln = Ce, Nd—Representatives of a Family of Potential Lithium Ion Conductors

Lithium Permeation through Thin Lithium–Silicon Films for Battery Applications Investigated by Neutron Reflectometry

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A review of conduction phenomena in Li-ion batteries

Cited by 1,477 publications

References 288 publications

Influence of Electrode Density on the Performance of Li-Ion Batteries: Experimental and Simulation Results

Influence of Electrode Density on the Performance of Li-Ion Batteries: Experimental and Simulation Results

Li14Ln5[Si11N19O5]O2F2 with Ln = Ce, Nd—Representatives of a Family of Potential Lithium Ion Conductors

Lithium Permeation through Thin Lithium–Silicon Films for Battery Applications Investigated by Neutron Reflectometry

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Li₁₄Ln₅[Si₁₁N₁₉O₅]O₂F₂ with Ln = Ce, Nd—Representatives of a Family of Potential Lithium Ion Conductors