DGL-STFA: Predicting lithium-ion battery health with dynamic graph learning and spatial–temporal fusion attention
Accurately predicting the State of Health (SOH) of lithium-ion batteries is a critical challenge to ensure their reliability and safety in energy storage systems, such as electric vehicles and renewable energy grids. The intricate battery degradation process is influenced by evolving spatial and tem...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
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| Series: | Energy and AI |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666546824001289 |
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