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Accurate and reliable state of charge estimation of lithium ion batteries using time-delayed recurrent neural networks through the identification of overexcited neurons
Research article (Applied Energy, 2021) · cited 104× · AI/ML
Accurate and reliable state of charge estimation of lithium ion batteries using time-delayed recurrent neural networks through the identification of overexcited neurons
Summary
Accurate and reliable state of charge estimation of lithium ion batteries using time-delayed recurrent neural networks through the identification of overexcited neurons is a scholarly article[1].
Key Facts
Accurate and reliable state of charge estimation of lithium ion batteries using time-delayed recurrent neural networks through the identification of overexcited neurons's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Accurate and reliable state of charge estimation of lithium ion batteries using time-delayed recurrent neural networks through the identification of overexcited neurons. Retrieved May 24, 2026, from https://4ort.xyz/entity/accurate-and-reliable-state-of-charge-estimation-of-lithium-ion-batteries-using-time-delayed-recurrent-neural-networks-t
MLA“Accurate and reliable state of charge estimation of lithium ion batteries using time-delayed recurrent neural networks through the identification of overexcited neurons.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/accurate-and-reliable-state-of-charge-estimation-of-lithium-ion-batteries-using-time-delayed-recurrent-neural-networks-t.
BibTeX@misc{4ortxyz_accurate-and-reliable-state-of-charge-estimation-of-lithium-ion-batteries-using-time-delayed-recurrent-neural-networks-t_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Accurate and reliable state of charge estimation of lithium ion batteries using time-delayed recurrent neural networks through the identification of overexcited neurons}}, year = {2026}, url = {https://4ort.xyz/entity/accurate-and-reliable-state-of-charge-estimation-of-lithium-ion-batteries-using-time-delayed-recurrent-neural-networks-t}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Accurate and reliable state of charge estimation of lithium ion batteries using time-delayed recurrent neural networks through the identification of overexcited neurons — https://4ort.xyz/entity/accurate-and-reliable-state-of-charge-estimation-of-lithium-ion-batteries-using-time-delayed-recurrent-neural-networks-t (retrieved 2026-05-24)
