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Implementation of Battery Digital Twin: Approach, Functionalities and Benefits
| Content Provider | MDPI |
|---|---|
| Author | Singh, Soumya Weeber, Max Birke, Kai Peter |
| Copyright Year | 2021 |
| Description | 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. |
| Starting Page | 78 |
| e-ISSN | 23130105 |
| DOI | 10.3390/batteries7040078 |
| Journal | Batteries |
| Issue Number | 4 |
| Volume Number | 7 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-11-16 |
| Access Restriction | Open |
| Subject Keyword | Batteries Information and Library Science Digital Twin Battery Model Battery Management System Doyle-fuller-newman Model Equivalent Circuit Model Parameter Estimation |
| Content Type | Text |
| Resource Type | Article |