Voltage faults diagnosis for lithium-ion batteries in electric vehicles using optimized graphical neural network
Abstract Diagnosing voltage faults of lithium-ion batteries is a critical function in the battery management system. Accurate diagnosis of voltage faults is crucial for ensuring the safety and reliability of energy storage applications and electric vehicles (EVs). This article proposes an optimized...
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| Main Authors: | Jian Ouyang, ZiHao Lin, Liyazhou Hu, Xiaofen Fang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-13188-9 |
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