Architecture of a Digital Twin for Enabling Digital Services for Battery Systems

Merkle, Lukas; Segura, Alexander Salinas; Grummel, Jan Torben; Lienkamp, Markus

doi:10.1109/icphys.2019.8780347

Cited by 35 publications

(18 citation statements)

References 18 publications

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“…This is the primary enabler for an autonomously operating Digital Twin. We do not define the exact design of the M2M interfaces, as they can be manifold (Martinez et al 2018;Merkle et al 2019). Additionally, a Digital Twin can possess both interfaces simultaneously (Petrova-Antonova and Ilieva 2019).…”

Section: Meta-dimension: Data Handling and Distributionmentioning

confidence: 99%

Archetypes of Digital Twins

et al. 2021

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Currently, Digital Twins receive considerable attention from practitioners and in research. A Digital Twin describes a concept that connects physical and virtual objects through a data linkage. However, Digital Twins are highly dependent on their individual use case, which leads to a plethora of Digital Twin configurations. Based on a thorough literature analysis and two interview series with experts from various electrical and mechanical engineering companies, this paper proposes a set of archetypes of Digital Twins for individual use cases. It delimits the Digital Twins from related concepts, e.g., Digital Threads. The paper delivers profound insights into the domain of Digital Twins and, thus, helps the reader to identify the different archetypical patterns.

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Section: Meta-dimension: Data Handling and Distributionmentioning

confidence: 99%

Archetypes of Digital Twins

et al. 2021

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“…The DT was used in [47] to perform a smart battery charging strategy extend the battery lifetime, and similarly in [48], the same issue was assessed. Differently in [49], the focus was moved towards the grid perspective, analysing the possible auxiliary services that can be offered by the batteries to this latter. The methodology proposed in this work comprises an architecture for a DT in the domain of the high-voltage battery system and then to offer digital services for various stakeholders.…”

Section: Transportmentioning

confidence: 99%

A comprehensive review on digital twins for smart energy management system

Lamagna¹,

Groppi²,

Nezhad³

et al. 2021

Int. J. EQ

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Energy systems digitalisation represents the energy sector's future, and Digital Twins represent the most advanced and complete way to monitor and optimally manage a complex system such as the upcoming solutions. Those latter will comprehend several energy generators, traditional and/or from renewable energy sources (RESs), different energy storage systems using several energy vectors and that interconnect different energy-consuming sectors (power, thermal, transport sectors) and that fully exploit the potential synergies offered by such interconnected system. Nevertheless, since the first conceptualisation of digital twins in the first years of the 21st century, its use has not started yet for different reasons that are affecting the adoption of this game-changer approach. Hence, what are the main barriers that are holding back the adoption of digital twins in smart energy systems? The present review paper answers this research question while discussing the case studies that can be found in literature and analysing the different approaches and the system architectures that have been tested or simply idealised. This paper provides a basis for future research that aims at applying the digital twin concept in the energy sector and particularly for power grid management. It deals with the challenges of big data management, the ones related to real-time measurements and continuous communication between the real-world system and its digital twin, the investment for measuring systems, the issues connected with the use of large data centres and the correlated energy-related challenges and doubts. The review analyses the challenges that have been encountered so far, the proposed solutions and the opportunities that such a 'work in progress' topic offers.

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“…Northford and Siemens reached a cooperation agreement to build an intelligent battery manufacturing plant and apply digital Twin to set up a product life management (PLM) system based on closed-loop manufacturing. 30 Merkle et al 31 propose a F I G U R E 4 Block diagram of existing digital twin framework of the battery 27,28 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.…”

Section: Application Of the Digital Twin In Manufacturingmentioning

confidence: 99%

Multi‐dimensional digital twin of energy storage system for electric vehicles: A brief review

2021

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This article proposes a Digital Twin (DT) framework for the whole life cycle of batteries. Specifically, in the stage of R&D, Digital twin can integrate the data of all technical fields into one model to optimize the battery's performance.During the manufacturing and production phase, DT can establish a digital production line and workshop to improve it. In the operation stage, aiming at various fault features in the battery operation process, with the assistance of large data samples, digital twin simulation is used to determine the fault status of the equipment accurately, to realize the self-perception, judgment, error correction, early warning and other functions of the equipment. The article also proposes a Postoperation phase to recycle the battery to resolve the battery materials shortage problem. The critical research direction is a futuristic plan of battery communication with a charging Station, Battery Swapping System, Smart Grid, and Renewable resources. This sophisticated DT can comprehensively improve the energy system's entire life cycle management. Moreover, it can help perceive customer demand and offer an efficient operation mode to reduce running costs.

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Architecture of a Digital Twin for Enabling Digital Services for Battery Systems

Cited by 35 publications

References 18 publications

Archetypes of Digital Twins

Archetypes of Digital Twins

A comprehensive review on digital twins for smart energy management system

Multi‐dimensional digital twin of energy storage system for electric vehicles: A brief review

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