This study aims to estimate the battery life of a solar-electric boat using Python-based algorithms, with a primary focus on predicting battery degradation during the boat’s operation. Real-life operational data, including power consumption along a predetermined route and charging process information, were collected from the solar-electric boat. Laboratory experiments provided essential parameters of the battery cells. Leveraging this dataset, several Python-based algorithms were employed to simulate the expected battery life of the electric boat. The integration of real-world operational data and laboratory-derived cell parameters enhances the accuracy of the predictions, contributing valuable insights into the sustainable and efficient use of electric propulsion in waterway applications.