Electrochemical Re-Functionalization of Spent FePO<sub>4</sub> Originating from LiFePO<sub>4</sub> Battery Recycling
Bibliographic record
Abstract
Lithium-ion batteries (LIBs) find many applications from powering multitudes of portable electronics, to automotive, and stationary energy storage. The current rapid market growth, more specifically in mobility and stationary energy storage, has made the consumption of LIBs to increase exponentially since year 2000. It is predicted that this market will be multiplied by ten in the next decade. Inevitably, the quantity of spent LIBs will follow the same trend, causing important challenges to the waste management system. However, while end-of-life (EOL) management of portable batteries is established in North America and Europe, collection of industrial and vehicle batteries is just starting. Consequently, we expect an important increase of spent lithium battery available for recovery during the next decade raising the pressure on the recycling industry. In addition to the rapid increase in volume of spent batteries, the wide range of chemistries and types make recycling of LIBs more complex compared to other types of batteries. Until now, the industry has focussed on recovering the most valuable metals like cobalt and nickel while sending to the waste elements such as lithium, iron, and phosphorus from lithium iron phosphate (LiFePO 4 , LFP) batteries. Hydro-Québec has developed a new low environmental footprint process to recover efficiently high value product from spent LiFePO 4 batteries. The process includes a dismantling and sorting step from which the active cathodic material is recovered as a black mass. A hydrometallurgical process extracting selectively Li ions as lithium bicarbonate from the black mass follows this preparation stage. The leaching residue is a carbon-coated iron (III) phosphate (FePO 4 -C) which is re-functionalized as fully restored cathodic active material by taking advantage of highly reversible lithium intercalation into the FePO 4 hosting structure. The final product is suitable for reuse in new LiFePO 4 battery manufacturing.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".