Kruse, LarsLarsKruseSchill, JendrikJendrikSchillLandsiedel, OlafOlafLandsiedelPachnicke, StephanStephanPachnicke2025-02-052025-02-052022-0513th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2022978-1-6654-6618-9978-1-6654-6619-6https://hdl.handle.net/11420/53867We 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.enBattery monitoring | machine learning | OTDRMLE@TUHHTechnology::600: TechnologyOptical monitoring of second-life batteries enhanced by machine learningConference Paper10.1109/PEDG54999.2022.9923150Conference Paper