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Record W4309818562 · doi:10.1149/ma2022-026632mtgabs

Direct-Recycling of LiFePO<sub>4</sub> Cathodes from a Hybrid-Electric Bus Battery Via Chemical Relithiation

2022· article· en· W4309818562 on OpenAlexaboutno aff
Katrina Ramirez-Meyers, Jay Whitacre

Bibliographic record

VenueECS Meeting Abstracts · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicRecycling and Waste Management Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsBattery (electricity)CathodeCharacterization (materials science)ScalabilityInternal resistanceMaterials scienceBattery packScalingElectric vehicleComputer scienceProcess engineeringNanotechnologyElectrical engineeringEngineeringPhysicsMathematics

Abstract

fetched live from OpenAlex

Direct recycling of LiFePO 4 (LFP) has environmental benefits as a battery waste management strategy, but its efficacy and scalability have yet to be fully understood. As the use of LFP is projected to grow significantly by 2030, it is essential to understand the factors affecting the performance of recycling processes and the quality of their products. This work examines the effectiveness of chemical relithiation on LFP cells of various states-of-health. The work expands on statistical analyses and materials characterization of the cells that were previously presented. 1,2 In the previous work, we conducted diagnostic experiments on cells ranging from healthy as-purchased cells to used cells with less than 20% of their initial capacity. The used cells are sampled from a retired hybrid-electric city bus battery pack comprising A123 1536 cells manufactured between 2009 and 2017. Characterization techniques included constant-current cycling, EIS, XRD, and SEM. In this talk, we will discuss methods for direct-recycling LFP cathodes, such as the refunctionalization protocols designed by Ganter et al. 3 We will summarize the dependency between various states-of-health and the yield and performance of directly recycled LFP cathode material. Correlations between the efficacy of direct recycling and battery diagnostic information (e.g., percent of initial capacity, direct-current internal resistance, alternating-current impedance, SEM, and XRD) are of particular interest. We will also discuss the implications of scaling up the chemical relithiation process and combining cathode material from cells of various states-of-health. Ramirez-Meyers, K., Rawn, B. &amp; Whitacre, J. (Invited) Statistical Distribution and Feasibility for Re-Use of A123 LiFePO 4 Cells from a Hybrid-Bus Battery Pack. PRiME 2020 ECS ECSJ KECS Jt. Meet. MA2020-02 , (2020). Ramirez-Meyers, K. &amp; Whitacre, J. Characterization of Used A123 LiFePO 4 Cells from a Hybrid-Bus Battery Pack. ECS Meet. Abstr. Vancouver, BC. (2022). Ganter, M. J., Landi, B. J., Babbitt, C. W., Anctil, A. &amp; Gaustad, G. Cathode refunctionalization as a lithium-ion battery recycling alternative. J. Power Sources 256 , 274–280 (2014).

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)0.001
metaresearch head score (Gemma)0.000
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 score0.036
Threshold uncertainty score0.873

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.009
GPT teacher head0.211
Teacher spread0.202 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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