Powering next generation AI-BMS with
EVE-Ai™ 360° Adaptive Controls

EVE-Ai Adaptive Controls – Embedded SoXe transforms battery management with AI-driven intelligence. Unlike traditional battery management systems (BMS), dynamically adapts in real-time, optimizing performance, safety, and lifespan through machine learning.

Enabling AI-driven battery intelligence

Extended and Maximized Battery Life

Up to 40% longer lifespan through intelligent degradation analysis, risk analysis and adaptive controls.

Enable AI-driven BMS Control

Optimize battery performance, enhance decision-making, and extend lifespan with real-time intelligence.

Enhanced Safety, Precision & Reliability

Delivers precise SoC and SoH for confidence and reliability, while fault detection and thermal management enhance safety and cut costs.

Leverage AI-powered battery intelligence

Improve battery reliability with AI-powered intelligence for optimized performance, longevity, and safety.

By leveraging advanced machine learning, AI-driven battery management analyzes internal battery data, operational conditions, charging patterns, and environmental factors to deliver real-time insights.

AI algorithms ensure accurate State of Charge (SoC), State of Health (SoH), State of Power (SoP), unlock degradation and fault risk assessment, enabling predictive maintenance, adaptive control strategies, and optimized energy management for both Battery Energy Storage Systems (BESS) and Electric Vehicles (EVs).

Prioritizing partnerships

At Electra, collaboration is a critical part of our process. Our partnerships include hands-on support to enable seamless integration of AI-powered battery optimization technology across diverse battery applications, including mobility, stationary storage, and industrial uses. The Electra team can set you up for success—with AI-powered battery intelligence directly embedded into EVs, you can achieve battery fault predictability and charging optimization.

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Access the latest resources

Keep up to date on the latest innovations in battery performance—access the latest events, whitepapers, eBooks, blogs, and more.

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AI-Driven Lifetime Optimization for Utility-Scale BESS

How AI-driven battery analytics improves BESS utilization, stabilizes degradation, and increases lifetime ROI—unlocking $15–25M in additional asset value.

SoH Estimation Performance Case Study

Discover how AI-powered battery analytics achieved lab-level State of Health estimation accuracy (1.6% error) using only real-world fleet data—without lab diagnostics or operational interruptions.

Unlocking Battery Intelligence for BESS with EVE-Ai™

Discover how EVE-Ai™ unlocked predictive battery intelligence for a real-world BESS deployment, leading to a 143% increase in ROI, 3 extra years of battery life, and 40% less downtime. This summarized case study reveals how AI, machine learning, and physics-based models transformed underutilized energy storage assets into high-performing infrastructure.

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Learn more about how Electra can empower your organization with the latest in battery performance technology.

EVE-Ai™ 360 Fleet Analytics

Enable data-driven decision making—access actionable, accurate insights on battery health.

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EVE-Ai™ Intelligent Display

Deliver personalized EV range and SoC estimates at destination directly to your drivers.