Software

SOC Estimation - Performance Analytics Can Reduce BMS SOC Estimation Errors In LFP Battery Systems EXAMPLE OF STATE OF CHARGE SOC ESTIMATION ERRORS IN A 50 MWh LFP BESS

Flat OCV curve of LFP systems results in BMS SOC estimation errors

The BMS uses coulomb counting (integrated current) to estimate SOC, but sensor errors accumulate over time Resting periods are used to re-calibrate coulomb counting Recalibration in LFP systems difficult, due to flat OCV curve of LFP systems

Cloud-based SOC estimator can reduce SOC estimation errors

Cloud SOC BMS SOC

Sources: “Overcoming SOC Inaccuracies in LFP Batteries: How to Increase Revenue and Simplify Operationsˮ, “How State of Charge Estimations Can Make or Break Your BESS Projectˮ

SOC error detection system identifies errors, allowing for recalibration during low-value time slots Continuous cloud-based SoC correction can minimize SOC estimation errors to +/- 3%

Extracted from the PDF; charts and images may read imperfectly.