A novel state-of-health prediction method based on long short-term memory network with attention mechanism for lithium-ion battery
The state-of-health (SOH) of lithium-ion batteries is one of the important core issues of battery management systems (BMS). After the battery reaches its end of life (EOL), its safety performance will deteriorate rapidly, which will be a huge threat to electric vehicles (EVs). Therefore, the accurat...
| Main Authors: | , , , , , |
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| 格式: | 文件 |
| 语言: | English |
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Frontiers Media S.A.
2022-08-01
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| 丛编: | Frontiers in Energy Research |
| 主题: | |
| 在线阅读: | https://www.frontiersin.org/articles/10.3389/fenrg.2022.972486/full |