🔋 Battery Level Kalman Filter

Real-time estimation of battery state-of-charge using voltage and current measurements

Consumer Applications & Benefits

Smartphones & Laptops: Provides accurate battery percentage even when voltage readings fluctuate due to temperature changes or aging batteries.

Electric Vehicles: Gives drivers reliable range estimates by combining multiple sensors and learning battery degradation patterns over time.

Power Tools & Drones: Prevents unexpected shutdowns by filtering sensor noise and predicting remaining runtime under varying loads.

Key Benefits: More accurate estimates than simple voltage meters, adapts to battery aging, reduces "battery anxiety" by providing reliable predictions, and extends battery life through better management.

Time: 0s

Estimated SoC

100.0%
±5.0%

Capacity

10.00 Ah

Voltage

-- V

Current

-- A

State of Charge Estimation

Voltage Measurements

How It Works

State Vector: [State of Charge %, Battery Capacity Ah]

Measurements: Noisy voltage and current readings

Prediction: SoC decreases based on current draw and capacity

Update: Corrects estimate using voltage-SoC relationship

Benefits: Smooths noisy measurements, estimates uncertainty, adapts to battery aging