battery-data-analysis

This Skill analyzes robot battery data from ROS 2 rosbag2 recordings to compute discharge curves, energy consumption, runtime, and state of health. It uses /battery_state and /cmd_vel topics to extract voltage, current, charge, capacity, and temperature metrics for health insights.

From ROS 2 bag recordings, you can extract voltage, current, charge, capacity, and temperature metrics to compute discharge curves, current histograms, power plots, energy per mission, remaining runtime, and state of health for maintenance planning and early degradation detection.

Yes, you can compare battery pack degradation across patrol missions using rosbag2 logs. The Skill computes discharge curves, voltage sag, and state of health metrics from /battery_state data, enabling you to detect degradation early and forecast replacement timing across different missions.

Yes, you need the /battery_state and /cmd_vel ROS 2 topics in rosbag2 recordings to compute battery state of health and power vs velocity. The Skill performs basic input validation on these topics to ensure accurate energy and runtime calculations.

The best way to estimate remaining runtime and voltage sag for ROS 2 field deployments is to process rosbag2 recordings with this Skill. It computes energy per mission, remaining runtime, and voltage sag from /battery_state telemetry, providing clear error handling for reliable field insights.