Interpreting High Precision Coulometry Results on Li-ion Cells
Bibliographic record
Abstract
The High Precision Charger at Dalhousie University can be used to accurately measure the Coulombic Efficiency (CE) and the charge and discharge capacity endpoint slippages per cycle (Δ d and Δ c , respectively) of Li-ion full cells and Li/electrode half cells. If the CE is not exactly 1.0000 and the endpoints slip then this must be due to parasitic reactions between the electrode materials and the electrolyte in the cell. The various parasitic currents and charges associated with: solid electrolyte interface growth; electrolyte oxidation; transition metal dissolution and positive electrode damage are considered using a Li inventory model. The mathematical relations between the parasitic currents and the measured CE, Δ d and Δ c are derived. Example data collected on both Li/graphite, Li/LiCoO 2 half cells as well as both graphite/LiCoO 2 and graphite/LiMn 2 O 4 Li-ion cells are used to illustrate how high precision coulometry results can be used to help elucidate cell degradation mechanisms.
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".