Batteries represent the most valuable, and to some extend also the most defining part of electrical vehicles (EV). As EV markets ramp up, battery innovation is key to global competitiveness. Performance, weight, safety, resilience, reduction of raw material reliance, and recyclability are hot topics in research. A digital twin allows collecting data from all phases of a batterie's life cycle, becoming a valuable source of knowledge for research, production, operation, repurposing, and recycling. One challenge comes from the heterogeneity of data sources from interacting systems. Service-oriented architecture (SoA) together with automated data translations are expected to provide a foundation for cost-efficient solutions. Analysis of data structures of systems interacting with EV batteries along their life cycle (testers, chargers, battery management systems, diagnostics etc) Implementation of a digital twin, capable of collecting, processing and representing data from a sub-group of these systems, based on the Eclipse Arrowhead infrastructure Testing and analysing the impact of this prototype for selected use cases