Study and modeling of the Solid Electrolyte Interphase behavior on nano-silicon anodes by Electrochemical Impedance Spectroscopy

Radvanyi, Etienne; Havenbergh, Kristof Van; Porcher, Willy; Jouanneau, SÃ©verine; Bridel, Jean-SÃ©bastien; Put, Stijn; Franger, Sylvain

doi:10.1016/j.electacta.2014.06.069

Cited by 71 publications

(56 citation statements)

References 40 publications

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“…Similar to literature [19,26,27,33,34], a significantly higher quasi-Li insertion capacity of 4,956 mAh g Si -1 than the extraction capacity of 4,087 mAh g Si -1 was observed in the first cycle, which was attributed to the initial SEI formation and other side reactions [27]. After the fourth cycle, the Si-VACNF electrode was stabilized, delivering an extraction capacity of 3,742 mAh g Si -1 , which is close to the theoretical specific capacity of amorphous Si [14].…”

Section: Half-cell Properties Of Silicon-coated Vacnf Anodesupporting

confidence: 65%

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A Novel High-Power Battery-Pseudocapacitor Hybrid Based on Fast Lithium Reactions in Silicon Anode and Titanium Dioxide Cathode Coated on Vertically Aligned Carbon Nanofibers

Klankowski

Pandey

Malek

et al. 2015

Electrochimica Acta

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Section: Half-cell Properties Of Silicon-coated Vacnf Anodesupporting

confidence: 65%

“…To make reports consistent, the C Si rates were calculated based on the maximum specific capacity for Li insertion into Si at room temperature (~3,800 mAh g Si -1 ) and the total Si mass on the electrode [19]. layer, which was found to be crucial for achieving long-term cycling stability [26,33,34].…”

Section: Half-cell Properties Of Silicon-coated Vacnf Anodementioning

confidence: 99%

A Novel High-Power Battery-Pseudocapacitor Hybrid Based on Fast Lithium Reactions in Silicon Anode and Titanium Dioxide Cathode Coated on Vertically Aligned Carbon Nanofibers

Klankowski

Pandey

Malek

et al. 2015

Electrochimica Acta

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“…In recent years, a lot of research focused on the initial cycle of silicon electrodes to investigate the formation mechanism at the very starting of battery operation, which can accelerate the understanding of the usually observed large irreversible capacity loss. [36][37][38][39][40] Edström and co-workers demonstrated the interfacial mechanisms during charge and discharge, including surface silicon oxide change transformation, Li−Si alloying reaction, and formation of SEI layer. [41] As shown in Figure 3a, at the very beginning of discharge (0.5 V vs Li + /Li), a thin SEI layer has already formed but lithium has not yet reacted with silicon.…”

Section: Initial Coulombic Efficiencymentioning

confidence: 99%

Challenges and Recent Progress in the Development of Si Anodes for Lithium‐Ion Battery

Jin

Zhu

et al. 2017

Advanced Energy Materials

806

580

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Silicon, because of its high specific capacity, is intensively pursued as one of the most promising anode material for next‐generation lithium‐ion batteries. In the past decade, various nanostructures are successfully demonstrated to address major challenges for reversible Si anodes related to pulverization and solid‐electrolyte interphase. However, the electrochemical performance is still limited by challenges that stem from the use of nanomaterials. In this progress report, the focus is on the challenges and recent progress in the development of Si anodes for lithium‐ion battery, including initial Coulombic efficiency, areal capacity, and material cost, which call for more research effort and provide a bright prospect for the widespread applications of silicon anodes in the future lithium‐ion batteries.

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“…The lithium-ion battery internal dynamics phenomena, the corresponding EIS Nyquist diagram and the proposed equivalent fractional-order impedance circuit diagram are shown in Figure 1. It can be seen from the Figure 1 that, the EIS Nyquist diagram can be divided into four regions [24][25][26]:…”

Section: Structure Of Equivalent Fractional-order Electrochemical Impmentioning

confidence: 99%

“…It can be seen from the Figure 1 that, the EIS Nyquist diagram can be divided into four regions [24][25][26]:…”

mentioning

confidence: 99%

Parameter Sensitivity Analysis for Fractional-Order Modeling of Lithium-Ion Batteries

et al. 2016

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This paper presents a novel-fractional-order lithium-ion battery model that is suitable for use in embedded applications. The proposed model uses fractional calculus with an improved Oustaloup approximation method to describe all the internal battery dynamic behaviors. The fractional-order model parameters, such as equivalent circuit component coefficients and fractional-order values, are identified by a genetic algorithm. A modeling parameters sensitivity study using the statistical Multi-Parameter Sensitivity Analysis (MPSA) method is then performed and discussed in detail. Through the analysis, the dynamic effects of parameters on the model output performance are obtained. It has been found out from the analysis that the fractional-order values and their corresponding internal dynamics have different degrees of impact on model outputs. Thus, they are considered as crucial parameters to accurately describe a battery's dynamic voltage responses. To experimentally verify the accuracy of developed fractional-order model and evaluate its performance, the experimental tests are conducted with a hybrid pulse test and a dynamic stress test (DST) on two different types of lithium-ion batteries. The results demonstrate the accuracy and usefulness of the proposed fractional-order model on battery dynamic behavior prediction.

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Study and modeling of the Solid Electrolyte Interphase behavior on nano-silicon anodes by Electrochemical Impedance Spectroscopy

Cited by 71 publications

References 40 publications

A Novel High-Power Battery-Pseudocapacitor Hybrid Based on Fast Lithium Reactions in Silicon Anode and Titanium Dioxide Cathode Coated on Vertically Aligned Carbon Nanofibers

A Novel High-Power Battery-Pseudocapacitor Hybrid Based on Fast Lithium Reactions in Silicon Anode and Titanium Dioxide Cathode Coated on Vertically Aligned Carbon Nanofibers

Challenges and Recent Progress in the Development of Si Anodes for Lithium‐Ion Battery

Parameter Sensitivity Analysis for Fractional-Order Modeling of Lithium-Ion Batteries

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