TY - GEN
T1 - Architecture of a digital twin for enabling digital services for battery systems
AU - Merkle, Lukas
AU - Segura, Alexander Salinas
AU - Torben Grummel, Jan
AU - Lienkamp, Markus
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - 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.
AB - 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.
KW - Architecture
KW - Battery System
KW - Digital Twin
KW - UML Model
UR - http://www.scopus.com/inward/record.url?scp=85070853718&partnerID=8YFLogxK
U2 - 10.1109/ICPHYS.2019.8780347
DO - 10.1109/ICPHYS.2019.8780347
M3 - Conference contribution
AN - SCOPUS:85070853718
T3 - Proceedings - 2019 IEEE International Conference on Industrial Cyber Physical Systems, ICPS 2019
SP - 155
EP - 160
BT - Proceedings - 2019 IEEE International Conference on Industrial Cyber Physical Systems, ICPS 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Industrial Cyber Physical Systems, ICPS 2019
Y2 - 6 May 2019 through 9 May 2019
ER -