Electrification, digitalization and the trend of service-oriented business concepts lead to disruptive changes in the automotive industry. New drive train concepts with Li-Ion battery system as central component arise. Nowadays, efforts are made to monitor the battery system in order to ensure maximum safety and reliability. But still, many parts of the life cycle of a battery system are not under accurate supervision. This paper proposes a digital twin architecture for automotive battery systems, on which digital services for various stakeholders along the manufacturing and product life cycle of a battery system can be established. Those services make use of the digital twin as a backbone, close open gaps and enable novel approaches in manufacturing and product use. The results feature an UML meta model as a first step toward implementing of a digital twin for battery systems. The meta model reflects the proposed architecture and allows domain-specific models to be built. The models in turn can act as blueprint for the implementation of the digital twin paradigm over the whole life cycle.
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Electrification, digitalization and the trend of service-oriented business concepts lead to disruptive changes in the automotive industry. New drive train concepts with Li-Ion battery system as central component arise. Nowadays, efforts are made to monitor the battery system in order to ensure maximum safety and reliability. But still, many parts of the life cycle of a battery system are not under accurate supervision. This paper proposes a digital twin architecture for automotive battery system...
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