NEVORA

Описание: NEVORA is a real-time, AI-driven battery diagnostics platform designed to provide accurate and interpretable insights into battery performance and degradation.

Built on the principles of electrochemical impedance spectroscopy (EIS), NEVORA leverages machine learning models trained on in situ impedance data collected during battery charge and discharge cycles. By analyzing frequency-dependent electrochemical signatures, the platform can reliably estimate key battery parameters, including state of charge (SoC) and state of health (SoH) with high accuracy.

The NEVORA Project represents a collaborative research initiative between the Instituto de Cerámica y Vidrio (ICV–CSIC) and the Universidad Politécnica de Madrid (UPM). This work aims to advance next-generation battery management systems by integrating physics-informed electrochemical diagnostics with artificial intelligence for real-time monitoring and decision-making.

NEVORA demonstrates how combining impedance spectroscopy with AI can overcome the limitations of conventional battery management methods and open new pathways for safer, more reliable, and longer-lasting energy storage technologies.

Supported by the ELISA Project reference CNS2023-145494,
funded by MCIN/AEI/10.13039/501100011033
and by the European Union “NextGenerationEU”/PRTR

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