The aim of the project is to develop a battery management system for real-time prediction of the state of aging (SOH) and remaining useful life (RUL) of opportunity-charged high-performance batteries (lithium-ion batteries) in electrically powered vehicles with an accuracy of 3%. For this purpose, a local battery model determines the expected service life at the start-of-life, the remaining service life in operation, and the optimal operating conditions based on characteristic and aging models of different battery types to enable a 20% service life extension of the battery. Precise measurements for very fast mini- and micro-cycling will be used to test the models in operation on an LTO battery for the first time, thus ensuring a largely cell chemistry-independent determination of RUL. Opportunity charging is applied in bus shuttle operation and enables very fast charging at bus stops by using high-performance batteries, which makes the BMS particularly attractive for public transport operators, where the demand for electric buses is very high.