Development of a data-driven machine learning model to estimate the SOH value of the ship's battery. Correlations with equivalent circuit parameters are analysed with the aim of improving the prediction model. Correlations between operational data, laboratory test results and equivalent circuit parameters will be identified to provide insights into the degradation and ageing process of batteries.
