Nonlinear receding-horizon filter approximation with neural networks for fast state of charge estimation of lithium-ion batteries

Research article (Journal of Energy Storage, 2023) · cited 15× · AI/ML
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Nonlinear receding-horizon filter approximation with neural networks for fast state of charge estimation of lithium-ion batteries

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Nonlinear receding-horizon filter approximation with neural networks for fast state of charge estimation of lithium-ion batteries is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Nonlinear receding-horizon filter approximation with neural networks for fast state of charge estimation of lithium-ion batteries. Retrieved May 24, 2026, from https://4ort.xyz/entity/nonlinear-receding-horizon-filter-approximation-with-neural-networks-for-fast-state-of-charge-estimation-of-lithium-ion-
MLA “Nonlinear receding-horizon filter approximation with neural networks for fast state of charge estimation of lithium-ion batteries.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/nonlinear-receding-horizon-filter-approximation-with-neural-networks-for-fast-state-of-charge-estimation-of-lithium-ion-.
BibTeX @misc{4ortxyz_nonlinear-receding-horizon-filter-approximation-with-neural-networks-for-fast-state-of-charge-estimation-of-lithium-ion-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Nonlinear receding-horizon filter approximation with neural networks for fast state of charge estimation of lithium-ion batteries}}, year = {2026}, url = {https://4ort.xyz/entity/nonlinear-receding-horizon-filter-approximation-with-neural-networks-for-fast-state-of-charge-estimation-of-lithium-ion-}, note = {Accessed: 2026-05-24}}
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