README.md

metadata

pretty_name: batgrad
license: cc-by-4.0
tags:
  - battery
  - timeseries
  - parquet
  - foundation-models

batgrad datasets

Normalized battery time-series data for the 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:

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

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
• Raw data (Dropbox)
• Original dataset license: CC 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.