Real-Time Prediction of Battery Remaining Useful Life Using Hybrid-Fusion Deep Neural Networks

Journal:

Energy

Published:

2025-05-17

DOI:

10.1016/j.energy.2025.136618

Affiliations:

4

Authors:

5

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Institutions	Authors	Share
University of California, Davis (UC Davis), United States of America (USA)	2.000000	0.40
Hubei Longzhong Laboratory, China	1.000000	0.20
Beijing National Laboratory for Condensed Matter Physics, IOP CAS, China	1.000000	0.20
Beijing Institute of Technology (BIT), China	1.000000	0.20

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