A data-driven surrogate model for non-electrical offline state-of-charge estimation of LiFePO4 batteries using feature-rich guided ultrasonic waves
- DOI
- 10.1016/j.ultras.2026.108127
- Published
- 2026-10
- Container
- Ultrasonics
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ultras.2026.108127,
title = {A data-driven surrogate model for non-electrical offline state-of-charge estimation of LiFePO4 batteries using feature-rich guided ultrasonic waves},
author = {Jaewon Lee and Hyunjun Kim and Fuh-Gwo Yuan and Howuk Kim},
year = {2026},
journal = {Ultrasonics},
doi = {10.1016/j.ultras.2026.108127},
url = {https://doi.org/10.1016/j.ultras.2026.108127}
}RIS
TY - JOUR TI - A data-driven surrogate model for non-electrical offline state-of-charge estimation of LiFePO4 batteries using feature-rich guided ultrasonic waves AU - Jaewon Lee AU - Hyunjun Kim AU - Fuh-Gwo Yuan AU - Howuk Kim PY - 2026 JO - Ultrasonics DO - 10.1016/j.ultras.2026.108127 UR - https://doi.org/10.1016/j.ultras.2026.108127 ER -
APA
Lee, J., Kim, H., Yuan, F., & Kim, H. (2026). A data-driven surrogate model for non-electrical offline state-of-charge estimation of LiFePO4 batteries using feature-rich guided ultrasonic waves. Ultrasonics. https://doi.org/10.1016/j.ultras.2026.108127
Source records
- crossref · retrieved 2026-09-27T07:35:45.900Z