Project

hILDe

Novel, cost-effective and highly precise indication of imbalance and state of charge (SoC) of vanadium redox flux batteries using AI-assisted detection of specific colors

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Novel, cost-effective and highly precise indication of imbalance and state of charge (SoC) of vanadium redox flux batteries using AI-assisted detection of specific colors

Partners

IZES gGmbH (Konsortialführer), Universität des Saarlandes Transferzentrum Nachhaltige Elektrochemie

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Keyfacts

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz