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A Hybrid Deep Learning Framework for Lithium‐Ion Battery State of Charge Estimation Combining an Attention‐Enhanced Gated Recurrent Unit with Residual Correction

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Published in:Energy Technology
Format: Online Article RSS Article
Published: 2026
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publishDate 2026
publishDateSort 2026
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spellingShingle A Hybrid Deep Learning Framework for Lithium‐Ion Battery State of Charge Estimation Combining an Attention‐Enhanced Gated Recurrent Unit with Residual Correction
Energy
General
Energy
sub_discipline_display General
sub_discipline_facet General
subject_display Energy
General
Energy
Energy
General
Energy
subject_facet Energy
General
Energy
title A Hybrid Deep Learning Framework for Lithium‐Ion Battery State of Charge Estimation Combining an Attention‐Enhanced Gated Recurrent Unit with Residual Correction
title_auth A Hybrid Deep Learning Framework for Lithium‐Ion Battery State of Charge Estimation Combining an Attention‐Enhanced Gated Recurrent Unit with Residual Correction
title_full A Hybrid Deep Learning Framework for Lithium‐Ion Battery State of Charge Estimation Combining an Attention‐Enhanced Gated Recurrent Unit with Residual Correction
title_fullStr A Hybrid Deep Learning Framework for Lithium‐Ion Battery State of Charge Estimation Combining an Attention‐Enhanced Gated Recurrent Unit with Residual Correction
title_full_unstemmed A Hybrid Deep Learning Framework for Lithium‐Ion Battery State of Charge Estimation Combining an Attention‐Enhanced Gated Recurrent Unit with Residual Correction
title_short A Hybrid Deep Learning Framework for Lithium‐Ion Battery State of Charge Estimation Combining an Attention‐Enhanced Gated Recurrent Unit with Residual Correction
title_sort a hybrid deep learning framework for lithium‐ion battery state of charge estimation combining an attention‐enhanced gated recurrent unit with residual correction
topic Energy
General
Energy
url https://onlinelibrary.wiley.com/doi/10.1002/ente.70530?af=R