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

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.