Leverage AI-powered battery software to optimize charging, enhance performance, and enable fault predictability. Ensure intelligent, real-time battery management across multiple applications, from electric vehicles to energy storage systems (BESS) and more.
Key Features of our AI-Driven BMS
Electra leverages its EVE-Ai Adaptive Controls to bring real-time intelligence and predictive optimization to battery management, ensuring maximum efficiency and reliability.
Embedded AI dynamically adjusts to changes, ensuring consistent performance and low-latency battery state estimation.
Early fault detection and adaptive thermal management increase operational safety, reducing risks and maintenance costs.
AI-driven insights mitigate degradation, extending battery lifespan by up to 40% and lowering the total cost of ownership.
Traditional BMS rely on predefined models and static algorithms, often struggling to adapt to real-world battery aging and nonlinear behavior. Our AI-driven BMS:
AI-driven battery management is transforming how we optimize performance, safety, and lifespan. Electra’s Embedded SoXe solution brings real-time intelligence to BMS, ensuring precise battery state estimation while unlocking new efficiencies and cost savings.
Smarter Battery Management with AI
Electra’s AI-driven BMS redefines battery optimization by seamlessly integrating machine learning with real-time data processing. Unlike traditional BMS, which rely on fixed algorithms and assumptions, our solution continuously adapts to real-world conditions, improving accuracy, efficiency, and reliability.
