Lithium Battery Parameters for State of Charge Estimation

A dataset containing parameters for lithium-ion batteries used to evaluate state of charge (SOC). It was created by Huipin Lin and last updated on June 4, 2026. The data was used in experiments with Dynamic Stress Test (DST), US06, and Federal Urban Driving Scheme (FUDS) datasets.

Use Cases

• Training time-series models for SOC estimation based on battery parameters.
• Benchmarking SOC estimation algorithms against reported MAE and RMSE values.
• Validating hybrid SOC estimation frameworks that combine neural networks with Unscented Kalman Filters.

Strengths

• Dataset is small at 5.5 KB, facilitating quick download and inspection.
• The associated research reports specific performance metrics, including MAE values of 1.305%, 1.470%, and 1.015% under three test conditions.

Limitations

• Row count and specific column definitions are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Author: Huipin Lin. Platform: figshare.

Collection Method

Likely contains experimental parameters derived from battery testing under DST, US06, and FUDS conditions.

Freshness

Last updated 2026-06-04 17:34:28; freshness should be verified.