Estimation of Lithium-ion Battery Discharge Capacity by Integrating Optimized Explainable-AI and Stacked LSTM Model
Accurate lithium-ion battery state of health evaluation is crucial for correctly operating and managing battery-based energy storage systems. Experimental determination is problematic in these applications since standard functioning is necessary. Machine learning techniques enable accurate and effec...
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| Autori principali: | , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
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MDPI AG
2023-02-01
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| Serie: | Batteries |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/2313-0105/9/2/125 |
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