State-of-charge sequence estimation of lithium-ion battery based on bidirectional long short-term memory encoder-decoder architecture
State-of-charge (SOC) estimation of lithium-ion batteries based on deep learning techniques has been receiving considerable attention. However, most deep-learning-based methods focus on SOC estimation at fixed ambient temperatures and cannot provide useful indications for battery state in real-world...
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| Vydané v: | Journal of power sources Ročník 449; s. 227558 |
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| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Elsevier B.V
15.02.2020
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| Predmet: | |
| ISSN: | 0378-7753, 1873-2755 |
| On-line prístup: | Získať plný text |
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