Domain‑Adaptive Attention‑Based Self‑Supervised SOH Modeling for Shallow‑Cycle EV Batteries

Authors

  • Ghouse Bhasa Batlapadu, Gholam Mursalin Ansari

Keywords:

EV batteries, SOH prediction, shallow cycles, self-supervised learning, attention mechanism.

Abstract

Electric vehicles (EVs) are becoming more common due to their clean energy use and long-term costbenefits. The performance and safety of these vehicles strongly depend on the health of their batteries.One important measure for this is the State of Health (SOH), which shows how much usable capacity

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Published

2024-05-27

How to Cite

Ghouse Bhasa Batlapadu, Gholam Mursalin Ansari. (2024). Domain‑Adaptive Attention‑Based Self‑Supervised SOH Modeling for Shallow‑Cycle EV Batteries . Journal of Computational Analysis and Applications (JoCAAA), 33(05), 2413–2422. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/3415

Issue

Vol. 33 No. 05 (2024): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.