Multi-physics-resolved digital twin of proton exchange membrane fuel cells with a data-driven surrogate model
File(s)1-s2.0-S2666546820300045-main.pdf (4.9 MB)
Published version
Author(s)
Wang, Bowen
Zhang, Guobin
Wang, Huizhi
Xuan, Jin
Jiao, Kui
Type
Journal Article
Abstract
The development of multi-physics-resolved digital twins of proton exchange membrane fuel cells (PEMFCs) is significant for the advancement of this technology. Here, to solve this scientific issue, a surrogate modelling method that combines a state-of-the-art three-dimensional PEMFC physical model and data-driven model is proposed. The surrogate modelling prediction results demonstrate that the test-set relative root mean square errors (rRMSEs) of the multi-physics fields range from 3.88% to 24.80% and can mirror the multi-physics field distribution characteristics well. In summary, for multi-physics field prediction, the data-driven surrogate model has a comparable accuracy to the comprehensive 3D physical model; however, it considerably reduces the cost of computation and time and achieves the efficient multi-physics-resolved digital-twin. Two model-based designs based on the as-developed digital twin framework, i.e. the PEMFC healthy operation envelope and the PEMFC state map, are demonstrated. This study highlights the potential of combining data-driven approaches and comprehensive physical models to develop the digital twin of complex systems, such as PEMFCs.
Date Issued
2020-08
Date Acceptance
2020-03-29
Citation
Energy and AI, 2020, 1, pp.1-13
ISSN
2666-5468
Publisher
Elsevier BV
Start Page
1
End Page
13
Journal / Book Title
Energy and AI
Volume
1
Copyright Statement
© 2020 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license. (http://creativecommons.org/licenses/by/4.0/)
Identifier
https://www.sciencedirect.com/science/article/pii/S2666546820300045?via%3Dihub
Publication Status
Published
OA Location
https://www.sciencedirect.com/science/article/pii/S2666546820300045
Article Number
100004
Date Publish Online
2020-04-22