Lithium-Ion Battery State of Charge Data from Hardware-in-the-Loop Low-Temperature Tests

Research by Yunlong Wang on figshare investigates estimation errors and model failure boundaries for lithium-ion battery State of Charge using an Extended Kalman Filter. The dataset, last updated in May 2026, contains charging-discharging current data obtained from a hardware-in-the-loop simulation platform where batteries were tested in a temperature-controlled chamber from -30°C to 0°C. The data was used to calculate and compare SOC variations against a pure simulation model.

Use Cases

• Validate State of Charge estimation models based on hardware-in-the-loop derived current data.
• Analyze the impact of low-temperature environments (down to -30°C) on battery charging-discharging behavior.
• Compare the performance of simulation models against hardware-in-the-loop test results.
• Investigate error mechanisms and failure boundaries for Extended Kalman Filter-based SOC estimation.

Strengths

• Data is derived from a controlled hardware-in-the-loop simulation platform with a specified temperature range of -30°C to 0°C.
• Dataset is licensed under CC-BY-4.0, permitting sharing and adaptation.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• The dataset is small at 733.5 KB, indicating a limited scope of data points.

Provenance

Source

Yunlong Wang via figshare.

Collection Method

Data gathered from a hardware-in-the-loop simulation platform with batteries in a temperature-controlled chamber.

Freshness

Last updated 2026-05-20 10:31:30.