White Paper

Overcoming SOC Inaccuracies in LFP Batteries: How to Increase Revenue and Simplify Operations

This white paper covers the causes of state of charge (SOC) estimation errors, where traditional BMS fall short, and explains how to get precise SOC within 2% of actual value.

This paper will explain:

The causes SOC estimation errors in LFP batteries
Where traditional BMS fall short in calculating an accurate SOC
How to get near real-time SOC estimates within +/-2% of actual SOC using cloud-based predictive analytics

LFP batteries are now the preferred choice for most large-scale energy storage applications, but traditional BMS is incapable of calculating an accurate state of charge (SOC) for these systems. As a result, inaccuracies of 20% or more are now common across the energy storage industry. This paper outlines the causes of SOC errors, the limitations of today's BMS, and provides a blue print to overcome these challenges.

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