README.md

# Battery SDU Dataset

This dataset contains processed battery charge/discharge cycle data in SDU (Shandong University) format.

## Dataset Structure

- `processed_primary_use_phase/`: Contains 83 processed battery files from primary use phase
- `processed_second_life_phase/`: Contains 86 processed battery files from second life phase

## File Format

Each file is a pickle file containing a `BatteryData` object with:
- Cell ID in format `SDU_Battery_{ID}`
- Cycle data with voltage, current, time, and capacity measurements
- Battery metadata and specifications

## Processing

The data has been processed using the SDUPreprocessor which:
- Calculates charge/discharge capacities from current and time data
- Organizes cycle indices sequentially
- Applies median filtering for outlier detection
- Filters cycles with discharge capacity > 0.1 Ah
- Maintains compatibility with BatteryML framework

## Usage

```python
import pickle
from pathlib import Path

# Load a battery file
with open('SDU_Battery_1.pkl', 'rb') as f:
    battery_data = pickle.load(f)

# Access cycle data
for cycle in battery_data.cycle_data:
    print(f"Cycle {cycle.cycle_number}: {max(cycle.discharge_capacity_in_Ah):.3f} Ah")
```

## Citation

If you use this dataset, please cite the original data source and preprocessing methodology.