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Article

Implementation of Battery Digital Twin: Approach, Functionalities and Benefits

1
Fraunhofer Institute for Manufacturing Engineering and Automation IPA, Nobelstr. 12, 70569 Stuttgart, Germany
2
Institute for Photovoltaics, Electrical Energy Storage Systems, University of Stuttgart, Pfaffenwaldring 47, 70569 Stuttgart, Germany
*
Author to whom correspondence should be addressed.
Academic Editors: Carlos Ziebert and Seung-Wan Song
Batteries 2021, 7(4), 78; https://doi.org/10.3390/batteries7040078
Received: 30 July 2021 / Revised: 2 September 2021 / Accepted: 15 November 2021 / Published: 16 November 2021
(This article belongs to the Special Issue Battery Systems and Energy Storage beyond 2020)
The concept of Digital Twin (DT) is widely explored in literature for different application fields because it promises to reduce design time, enable design and operation optimization, improve after-sales services and reduce overall expenses. While the perceived benefits strongly encourage the use of DT, in the battery industry a consistent implementation approach and quantitative assessment of adapting a battery DT is missing. This paper is a part of an ongoing study that investigates the DT functionalities and quantifies the DT-attributes across the life cycles phases of a battery system. The critical question is whether battery DT is a practical and realistic solution to meeting the growing challenges of the battery industry, such as degradation evaluation, usage optimization, manufacturing inconsistencies or second-life application possibility. Within the scope of this paper, a consistent approach of DT implementation for battery cells is presented, and the main functions of the approach are tested on a Doyle-Fuller-Newman model. In essence, a battery DT can offer improved representation, performance estimation, and behavioral predictions based on real-world data along with the integration of battery life cycle attributes. Hence, this paper identifies the efforts for implementing a battery DT and provides the quantification attribute for future academic or industrial research. View Full-Text
Keywords: digital twin; battery model; battery management system; Doyle-Fuller-Newman model; equivalent circuit model; parameter estimation digital twin; battery model; battery management system; Doyle-Fuller-Newman model; equivalent circuit model; parameter estimation
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MDPI and ACS Style

Singh, S.; Weeber, M.; Birke, K.P. Implementation of Battery Digital Twin: Approach, Functionalities and Benefits. Batteries 2021, 7, 78. https://doi.org/10.3390/batteries7040078

AMA Style

Singh S, Weeber M, Birke KP. Implementation of Battery Digital Twin: Approach, Functionalities and Benefits. Batteries. 2021; 7(4):78. https://doi.org/10.3390/batteries7040078

Chicago/Turabian Style

Singh, Soumya, Max Weeber, and Kai P. Birke. 2021. "Implementation of Battery Digital Twin: Approach, Functionalities and Benefits" Batteries 7, no. 4: 78. https://doi.org/10.3390/batteries7040078

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