Unlocking Interpretable Prediction of Battery Random Discharge Capacity With Domain Adaptative Physics Constraint (Adv. Energy Mater. 13/2025)
Battery Management Interpretable and accurate random discharge capacity predictions under varying application scenarios enable better onboard battery management to ensure safe and optimal operations. In article number 2405506, Jia Guo, Yusheng Zheng, Xiaosong Hu, and co-workers developed an electrochemical impedance spectroscopy-constrained domain adaptation framework to predict the capacities during random discharge with non-destructive mechanism diagnosis for onboard dynamic aging understanding.
Authors
- Jia Guo (ORCID: https://orcid.org/0000-0002-3882-9266)
- Remus Teodorescu (ORCID: https://orcid.org/0000-0002-2617-7168)
- Yusheng Zheng (ORCID: https://orcid.org/0000-0003-4901-1846)
- Xiao Hu (ORCID: https://orcid.org/0000-0003-1128-4099)
- Daniel‐Ioan Stroe (ORCID: https://orcid.org/0000-0002-2938-8921)
- Yunhong Che (ORCID: https://orcid.org/0000-0002-7350-0001)
- Wenxue Liu
Institutions
- Chongqing University (CN)
- Imperial College London (GB)
- Massachusetts Institute of Technology (US)
- Aalborg University (DK)
Publication Details
- Journal
- Advanced Energy Materials
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1002/aenm.202570068
- Primary Topic
- Advanced Battery Technologies Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00