Investigation of the Effect of Depth of Discharge/State of Charge Limitations, C-Rate, and Temperature on the Lifetime of Nmc/Silicon-Graphite Pouch Cells
Bibliographic record
Abstract
Electric vehicles are consistently being adopted by the consumer market. The associated range anxiety of purchasing an electric vehicle can be partially put at ease by looking at real driving data that shows the average driving distance in a day is under 75 km. These limited driving days represent days with a partial battery cycle. Partial cycling ranges are an interesting area of research particularly for silicon-graphite composite electrodes, where different cycling ranges can have large impacts on the lifetime of the cell. In this study, we investigate the two active anode materials of metallurgical silicon and a silicon-carbon composite at five cycling ranges: 60%–0%, 80%–0%, 100%–0%, 100%–40%, and 100%–60%. The cells used in this study contribute ∼70% of their capacity from silicon or Si-C representing an interesting difference from silicon/graphite composite anodes featuring minimal silicon capacity. The cycling ranges that focus on cycling the graphite portions of the electrode and only occasionally use the silicon capacity show great capacity retention over their lifetime. Whereas the cells using predominantly using silicon capacity experience rapid capacity fading. This choice becomes an important distinction when trying to extend the lifetime of a vehicle’s battery pack.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".