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Record W2345789588 · doi:10.1149/ma2016-03/2/661

Redox Ionic Liquid and Electroactive Lithium Salt As Redox Shuttle for Overcharge of Lithium-Ion Batteries

2016· article· en· W2345789588 on OpenAlexaff
Bruno Gélinas, Thomas Bibienne, Mickaël Dollé, Dominic Rochefort

Bibliographic record

VenueECS Meeting Abstracts · 2016
Typearticle
Languageen
FieldEngineering
TopicExtraction and Separation Processes
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsOverchargeThermal runawayRedoxLithium (medication)ElectrolyteElectrodeChemistryEnergy storageStandard electrode potentialBattery (electricity)IonChemical engineeringMaterials scienceInorganic chemistryThermodynamicsOrganic chemistry

Abstract

fetched live from OpenAlex

Lithium-ion technology currently answers the need for energy storage in many electronic devices due to their good cycle life and high energy density. Larger lithium-ion batteries (LIB) are also developed to meet the requirements for the transportation sector, but the performance and security still need to be improved. For instance, secondary reactions can occur during an overcharge which initiate when the positive electrode is over-oxidized. The over-oxidation of the positive electrode leads to an irreversible degradation of electrode material, generates radical and other reactive species, and oxygen evolution which can cause a fast thermal runaway into the LIB leading to its possible explosion. Several measures can be taken to avoid thermal runaway of the battery when an overcharge event occur. Amongst them, the use of a redox shuttle is particularly efficient since it will prevent the electrode from reaching an unstable oxidation state above the one obtained during normal charging. Redox shuttles (R-S) operate by carrying the excess charge from the positive to the negative electrode to prevent reaching higher oxidation states. To be used efficiently, R-S must be stable in both oxidized and reduced states to maintain protection for a large number of cycles and should have an oxidation potential of at least 300 mV above that of the electrode to avoid self-discharge during normal cell operation. In addition, to achieve protection at high charging rates, it should diffuse rapidly and be solubilized at a high concentration in the electrolyte. We demonstrated recently that these conditions can be met by modifying the structure of ionic liquids with an electroactive group and that these R-S can be applied to prevent the overcharge of LiFePO 4 electrodes for more than 200 cycles without affecting its charge storage properties. The modification of ionic liquids with redox moieties offers numerous possibilities to modulate the redox potential and the solubility of redox shuttles. In this study, we propose to use redox ionic liquids (RILs) or electroactive lithium salts (ELi) as R-S. We present the physicochemical and electrochemical characterizations of RIL or ELi electrolytes such as viscosity and ionic conductivity measurements of LIB electrolyte and diffusion coefficient of electroactive species using cyclic voltammetry. Ionic liquid redox shuttles based on ferrocene and 2,5-di-tert-butyl-1,4- dimethoxybenzene have been tested in LIB, using different positive electrodes (e.g. LiTi 2 (PO 4 ) 3 , and LiFePO 4 ). We present charge–discharge curves with a 100% overcharge and long term overcharge curves for each R-S with the appropriate electrode at C/10. Charge-discharge curves with overcharge at different C rates were also done to obtain the Ragone plot and the results suggest a better protection above C/4 for the anion RIL and ELi than cation RIL because of migration effect favoring the modification of anion. The importance of the structure of the ionic liquid redox shuttles on the protection and stability upon cycling will be discussed. Figure 1

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.068
Threshold uncertainty score0.593

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.251
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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