In recent years, the use of lithium-ion batteries has greatly expanded into products from many industrial sectors, e.g. cars, power tools or medical devices. An early prediction and robust understanding battery faults could therefore increase product quality in those fields. While current approaches for data-driven fault provide good results on exact processes they were trained on, often lack a...