| --- |
| pretty_name: batgrad |
| license: cc-by-4.0 |
| tags: |
| - battery |
| - timeseries |
| - parquet |
| - foundation-models |
| --- |
| |
| # batgrad datasets |
|
|
| Normalized battery time-series data for the |
| [`batgrad`](https://github.com/marplan/batgrad) template. |
|
|
| Included dataset IDs: |
|
|
| - `pozzato-2022` |
| - `synthetic-pozzato-2022-m50t` |
|
|
| The repository preserves the canonical |
| `type=.../dataset=.../source=normalized/...` paths expected by `batgrad`. Download |
| both datasets with: |
|
|
| ```sh |
| uv run scripts/hf_assets.py download \ |
| --dataset pozzato-2022 synthetic-pozzato-2022-m50t |
| ``` |
|
|
| ## Provenance |
|
|
| The published-data portion is a modified derivative of Gabriele Pozzato, |
| Anirudh Allam, and Simona Onori, "Lithium-ion battery aging dataset based on |
| electric vehicle real-driving profiles," Data in Brief 41, 107995, 2022. |
| [doi:10.1016/j.dib.2022.107995](https://doi.org/10.1016/j.dib.2022.107995) |
|
|
| The files are not the original dataset. Processing by `batgrad` includes |
| canonical mapping, type conversion, validation, derived features, |
| protocol-specific sharding, normalization, and resampling/downsampling. The |
| original authors are not responsible for these modifications. |
|
|
| - [Dataset overview](https://osf.io/qsabn/overview?view_only=2a03b6c78ef14922a3e244f3d549de78) |
| - [Raw data (Dropbox)](https://www.dropbox.com/scl/fo/3ss0age6ggfcm67okldhw/h?rlkey=tnczvb82gukfe2n4gol2uyo7x&dl=0) |
| - Original dataset license: [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) |
|
|
| The synthetic portion contains randomized profiles generated with PyBaMM using |
| a modified `OKane2022` parameter set. Particle cracking was disabled, and the |
| LLI/LAM parameters were increased. |
|
|
