Your BMS Is Flying Blind, BESS Analytics Give It Eyes

Many Energy Storage Systems still rely solely on EMS, leaving battery behavior in the dark. It’s time to evolve.

Electra’s EVE-Ai delivers deep battery insights that your EMS can’t, helping you reduce risk, fine-tune performance, and extend system lifespan.

Better Decisions Need Better Data

Energy Management Systems (EMS) were never designed for deep analytics. They manage operations but can’t optimize your assets.

Battery Analytics platforms like Electra’s EVE-Ai Battery Fleet Analytics provide granular insights into degradation, performance, and lifetime, unlocking greater ROI, uptime, and safety.

Your EMS Manages the System. But It Can’t See the Battery.

Energy Management Systems (EMS) weren’t built for deep battery insight. They control when to charge or discharge—but they can’t detect degradation, forecast risk, or unlock full asset value.

Limited Visibility
Minimal insight into State of Health (SoH), State of Charge (SoC), or internal battery conditions, making it impossible to optimize performance or plan asset lifecycle with confidence.

Hidden Risks
No early warning for degradation, stress, imbalance, or thermal events. No Remaining Useful Life (RUL) forecasts. No predictive fault detection. Failures often surface too late—when safety, uptime, and warranties are already compromised.

Missed Value
Opportunities like arbitrage, peak shaving, or ancillary services go underutilized, due to fragmented operations, manual workflows, and the lack of automated dispatch intelligence.

What You Gain with EVE-Ai BESS Analytics

Go beyond surface-level monitoring. These are the real-world advantages of embedding AI-driven intelligence into your energy storage operations.

Enhance Operational Visibility and Safety

Gain deep, real-time insights into every battery asset

• Full-stack monitoring across cell, module, and pack levels
• Smart alerts and AI-driven anomaly detection that trigger before alarms
• Root-cause analytics to reduce downtime and operational costs
• See not just what’s happening — but why it’s happening

Early Warnings to Prevent Failures and Minimize Downtime

Catch failures before they occur, with AI foresight

• Detect thermal runaway, cell imbalance, or string faults early
• Deploy machine learning models to predict failures before symptoms show
• Receive control recommendations to avoid safety and performance risks
• Shift from reactive fixes to proactive battery health management

Extend Battery Life and Maximize Asset Value

Turn data into long-term performance

• Monitor State of Health (SoH), State of Charge (SoC), and Remaining Useful Life (RUL)
• Adapt analytics to your chemistry and use case
• Optimize cycle costs and throughput per kWh
• Drive performance-based operations for higher yield and lower CAPEX
• Support lifetime planning, warranty decisions, and second-life viability

Unify Performance Insights and Collaboration

Analytics that empower every stakeholder

• Automate compliance-ready reports and performance summaries
• Share dashboards across OEMs, EPCs, and asset managers
• Compare sites with multi-site benchmarking and trend forecasting
• Get AI-generated summaries for faster, smarter decisions
• Built for collaboration — because battery ops aren’t siloed

EVE-Ai Battery Fleet Analytics vs EMS: Feature-by-Feature

A feature-by-feature comparison that shows why AI-enhanced analytics wins.

Contact us and learn more about how Electra can empower your organization with the latest in battery performance technology.

LEARN MORE

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