README.md

# Panasonic NCR18650PF — Tier-1 raw mirror

BSEBench Tier-1 mirror of the Panasonic NCR18650PF battery testing data published by Phillip Kollmeyer (2018) on Mendeley Data.

## Original source

- **Publication** : Kollmeyer, P. (2018). "Panasonic 18650PF Li-ion Battery Data and Experimental Procedures." *Mendeley Data*, v1.
- **DOI** : 10.17632/wykht8y7tg.1
- **Upstream URL** : https://data.mendeley.com/datasets/wykht8y7tg/1
- **License** : CC-BY-4.0
- **Cell** : Panasonic NCR18650PF (NCA chemistry, 18650 cylindrical, rated 2.9 Ah)

## File breakdown (260 total)

| Type | Count | Purpose |
|---|---|---|
| `.mat` | 198 | Time-series measurements (current, voltage, temperature, time) for each (profile, temperature) tuple, plus subsegments |
| `.csv` (EIS/) | 59 | Electrochemical impedance spectroscopy sweeps at multiple SOC points and temperatures |
| `Plot_results.m` | 1 | MATLAB utility for plotting (upstream-provided) |
| `Readme file - desc of tests performed.txt` | 1 | Upstream documentation of the experimental procedure |
| `README.md` | 1 | This file (BSEBench-added) |

## Folder layout (preserves upstream hierarchy)

```
Panasonic 18650PF Data/
├── -20degC/  ├── EIS/        # impedance sweeps
│              └── *.mat       # drive-cycle measurements
├── -10degC/  ...
├── 0degC/    ...
├── 10degC/   ...
├── 25degC/   ...
├── 10degC Trise with pause/   # thermal characterization
├── -20degC Trise/             # thermal characterization
└── Plot_results.m
```

## Profiles measured

DST, US06, FUDS, HWFET, LA92, NN (Neural Network — Kollmeyer custom), Cycle_1..Cycle_4 — at 5 temperatures (-20, -10, 0, 10, 25 °C).

## BSEBench Tier-2 (harmonized)

The corresponding harmonized canonical Parquet files (BSEBench v1.1.0 schema) are at `bsebench-org/panasonic-kollmeyer-2018` (Tier-2 repo). See `bsebench-runner/docs/M1_HF_LAYOUT.md` for the convention.

## K-016 closure note

The BSEBench M1 adapter `adapters/panasonic_kollmeyer_2018.py` produces Tier-2 Parquet that pad `cell_id` and `cycle_number` as constant columns (single-cell driving-cycle dataset). See KAIZEN K-016 for the rationale.