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    Item type:Publication,
    Optical monitoring of second-life batteries enhanced by machine learning
    (IEEE, 2022-05) ;
    Schill, Jendrik
    ;
    ;
    We propose the usage of optical time domain reflectometry as a monitoring technique for 2nd-life battery pools. The approach promises significant cost reduction for the monitoring system compared to a distributed electrical sensing system. Furthermore, due to coherent reception a high sensitivity can be reached, which can be further improved by combining with machine learning algorithms for detection and classification.
    Publicationtype: Conference Paper
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