Advancing Lithium-Ion Battery Health Prognostics With Deep Learning: A Review and Case Study
Lithium-ion battery prognostics and health management (BPHM) systems are vital to the longevity, economy, and environmental friendliness of electric vehicles and energy storage systems. Recent advancements in deep learning (DL) techniques have shown promising results in addressing the challenges fac...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Open Journal of Industry Applications |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10400849/ |