Multi-scale temporal convolution attention network for state-of-charge estimation in Li-ion batteries
- DOI
- 10.1038/s41598-026-53615-z
- Published
- 2026-05-23
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-53615-z,
title = {Multi-scale temporal convolution attention network for state-of-charge estimation in Li-ion batteries},
author = {S. Fouziya Sulthana and M. Sivaramkrishnan and G. Venkatesan and J. Isaac JoshuaRamesh Lalvani},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-53615-z},
url = {https://doi.org/10.1038/s41598-026-53615-z}
}RIS
TY - JOUR TI - Multi-scale temporal convolution attention network for state-of-charge estimation in Li-ion batteries AU - S. Fouziya Sulthana AU - M. Sivaramkrishnan AU - G. Venkatesan AU - J. Isaac JoshuaRamesh Lalvani PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-53615-z UR - https://doi.org/10.1038/s41598-026-53615-z ER -
APA
Sulthana, S. F., Sivaramkrishnan, M., Venkatesan, G., & Lalvani, J. I. J. (2026). Multi-scale temporal convolution attention network for state-of-charge estimation in Li-ion batteries. Scientific Reports. https://doi.org/10.1038/s41598-026-53615-z
Source records
- crossref · retrieved 2026-09-26T07:20:08.339Z