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Record W3025509568 · doi:10.1149/ma2020-0110868mtgabs

A Novel Flexible Hybrid Battery-Supercapacitor Based on a Self-Assembled Vanadium-Graphene Hydrogel

2020· article· en· W3025509568 on OpenAlexaff
Ali Khazaeli, Gabrielle Godbille, Dominik P. J. Barz

Bibliographic record

VenueECS Meeting Abstracts · 2020
Typearticle
Languageen
FieldMaterials Science
TopicSupercapacitor Materials and Fabrication
Canadian institutionsQueen's University
Fundersnot available
KeywordsSupercapacitorVanadiumMaterials scienceGrapheneEnergy storageBattery (electricity)NanotechnologyElectrolyteElectrodeFabricationChemical engineeringElectrochemistryPower (physics)Chemistry

Abstract

fetched live from OpenAlex

Batteries and supercapacitors are considered as key technologies for portable and wearable electronics which require lightweight, highly efficient and often flexible energy storage systems. Batteries can store a high amount of specific energy but deliver electricity at rather low current densities due to their intrinsically low power-handling capabilities. In contrast, supercapacitors can provide high specific power with outstanding cyclic stability and efficiency but have a low energy content. Thus, a key challenge for the fabrication of wearable/portable power sources is to simultaneously increase the energy and power densities, along with high durability, rapid charging, and facile scalability. In this work, we introduce a novel hybrid energy storage system that employs an innovative self-assembled graphene hydrogel which encapsulates a (vanadium IV) redox species that can exist in more than two oxidation states. These vanadium-graphene hydrogels can be cut into slices and pressed on a carbon cloth to form a flexible thin-film electrode of around ~180 µm thickness and with a mass loading of 3.3 mg cm-3. To assemble the hybrid device, a cationic-exchange membrane is sandwiched between two identical hydrogel electrodes. During the initial charging of the device, the vanadium IV is oxidized to vanadium V at the positive electrode and reduced to vanadium (III) at the negative electrode. The high surface area of the graphene hydrogel matrix (> 1000 m2/g) enables the supercapacitor mechanism of the hybrid. The different oxidation state of the encapsulated vanadium electrolyte induces a cell potential (~0.9 V) which grants the battery mechanism to the hybrid device. The combination of both mechanisms results in an outstanding capacity of 225 mA/g and unique characteristics of this power source. The capacity is roughly 8 times higher than that of a comparable graphene hydrogel supercapacitor without vanadium content, but the charging time is only double demonstrating a fast charging ability. The device also shows a true hybrid behavior. When operated with high current densities, it works like a supercapacitor and loses only 5% of its capacitance over 1000 charge/discharge cycles. When operated with low current densities, it shows characteristics of a battery. Here, the capacity losses are rather 40% to 50% over 1000 cycles. However, these losses can be easily restored by simple electric measures and there is only a 7% capacity loss after 1000 cycles and a restoration cycle. Our investigations suggest that during self-discharge, capacitance losses are partially converted into capacity through vanadium redox reactions which mitigates the self discharge. Additionally, the self-discharge does not permanently damage the hybrid device. The reason for these outstanding features are related to the simple design. Both half-cells initially consist of the same vanadium graphene hydrogel. Although ion crossover lowers the efficiency and triggers self-discharge, a complete discharge of the device converts all species, including those that crossed over, back to their initial redox state and, thus, resets the device to its initial condition. The mechanical robustness and flexibility of the device are investigated at different bending conditions. The results show a capacity retention of 97% at a bending angle of 135°, indicating excellent integrity of electrode materials under mechanical stress. Our work demonstrates that the novel concept of utilizing a redox species which can exist in more than two redox states, along with a high surface area electrode, presents a facile, scalable and high-performance design for hybrid battery-supercapacitors while the fabrication is considerably simplified. Figure 1

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.231
Teacher spread0.207 · 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 source (direct Gemma or distilled Codex), 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".

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Citations1
Published2020
Admission routes1
Has abstractyes

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