Why do accurate SOC estimations matter?

The limitations of the BMS can lead to inaccurate SOC estimations, hurting your revenue potential. With more accurate SOC estimations you can:

Boost revenue: Stop missing trade opportunities due to under-estimated SOC.
Avoid monetary penalties: Ensure you're trading on the correct energy and power volumes.
Maximize battery life: Manage SOC with precision to avoid conditions that speed up battery degradation.
Reduce costs: Minimize maintenance and replacement expenses through informed, strategic battery management.

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Article:The Financial Implications of Inaccurate SOC in LFP Batteries

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Your BMS isn't giving you reliable SOC estimations.

The traditional Battery Management System (BMS) often relies on rudimentary algorithms and lacks capabilities for fast data integration, leading to SOC estimations that are:

Inaccurate: Leading to unexpected battery outages or sub-par performance.
Inconsistent: Contributing to your system being non-homogenous in SOC.
Outdated: Relying on primitive algorithms that fail to keep up with changes in battery technology and use cases.

How to get precise SOC readings:

With ACCURE's predictive battery analytics platform, asset owners and operators can make informed decisions based on accurate SOC estimations. Here's what you can expect:

Customized analysis: Data analysis of your system is tailored to your specific battery usage patterns and conditions.
Proactive alerts: Receive daily notice of inaccurate SOCs within your system before it affects revenue.
Actionable recommendations: SOC alerts are paired with recommended actions when new potential for optimization are identified.
Fleet-comparisons: SOC data from your system is compared against data from similar systems around the world, uncovering anomalies and boosting the accuracy of your SOC estimations.

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White Paper: Overcoming SOC Inaccuracies in LFP Batteries

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Case Study: Inaccurate SOC Readings Hurt Revenue

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ACCURE’s predictive battery analytics platform enables BESS owners and operators to:

Identify unknown problems
Maximize revenue potential
Pinpoint out-of-balance batteries
Speed up commissioning

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