Multi-Objective Optimisation of the Management of Electric Bus Fleet Charging

The paper introduces a methodical approach, which can be used to identify a charging strategy for a fleet of electrical buses in urban bus services. This method uses evolutionary algorithms with multi-objective optimisation in order to reduce electricity costs and battery ageing taking into account technical constraints (e.g. peak load demand, charging technology). In this work, we present an application of this global method illustrated with a case study of one specific bus operating on an existing bus line. An optimal charging strategy is identified while optimising both electricity costs and battery ageing. First results show that the optimal charging strategy achieves improvements in reducing costs as well as enhancing the battery lifetime.