State of Charge Estimation of Lithium-Ion Batteries Using Stacked Encoder–Decoder Bi-Directional LSTM for EV and HEV Applications

Energy storage technologies are being used excessively in industrial applications and in automobiles. Battery state of charge (SOC) is an important metric to be monitored in these applications to ensure proper and safe functionality. Since SOC cannot be measured directly, this paper puts forth a nov...

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Vydáno v:	Micromachines (Basel) Ročník 13; číslo 9; s. 1397
Hlavní autoři:	Terala, Pranaya K., Ogundana, Ayodeji S., Foo, Simon Y., Amarasinghe, Migara Y., Zang, Huanyu
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 26.08.2022 MDPI
Témata:	Accuracy Algorithms Analysis Automobiles Back propagation bi-directional LSTM Coders Computer architecture Electric vehicles encoder–decoder hybrid Energy efficiency Energy storage Industrial applications Lithium cells Lithium-ion batteries Machine learning Neural networks Power Propagation Rechargeable batteries Reliability (Engineering) robust estimator State of charge state-of-charge estimation Time series United States United States > US
ISSN:	2072-666X, 2072-666X
On-line přístup:	Získat plný text
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