Yang, Qiang and Qin, Zhiquan and Zhang, Haifeng and Shi, Jian and Lu, Chao (2025) A Hybrid WOA-DeepONet Framework for Data-Driven and Physics-Guided SOH/RUL Estimation in Lithium-Ion Batteries. EAI Endorsed Transactions on Energy Web.
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Abstract
INTRODUCTION: For energy storage systems to be safe, effective, and reliable, it is essential to accurately forecast the State of Health (SOH) and Remaining Useful Life (RUL) of lithium-ion batteries under complicated operating situations.
OBJECTIVES: This research suggests a hybrid modeling approa
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 20:25 |
| Last Modified: | 10 Apr 2026 16:11 |
| URI: | http://eprints.eai.eu/id/eprint/60584 |
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