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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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| _version_ | 1868553094590103555 |
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| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Energy Technology |
| description | |
| discipline_display | Energy |
| discipline_facet | Energy |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:73384 |
| institution | FRELIP |
| journal_source_facet | Energy Technology |
| last_indexed | 2026-06-20T21:31:00.656Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| 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 |
| 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_alt | Un marco de aprendizaje profundo híbrido para la estimación del estado de carga de baterías de iones de litio que combina una unidad recurrente cerrada mejorada con atención y corrección residual A Hybrid Deep Learning Framework for Lithium‐Ion Battery State of Charge Estimation Combining an Attention‐Enhanced Gated Recurrent Unit with Residual Correction Uma Estrutura de Aprendizado Profundo Híbrida para Estimativa do Estado de Carga de Baterias de Íon-Lítio Combinando uma Unidade Recorrente com Portão Aprimorada por Atenção com Correção Residual |
| 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_es_txt | Un marco de aprendizaje profundo híbrido para la estimación del estado de carga de baterías de iones de litio que combina una unidad recurrente cerrada mejorada con atención y corrección residual |
| title_fr_txt | 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_pt_txt | Uma Estrutura de Aprendizado Profundo Híbrida para Estimativa do Estado de Carga de Baterias de Íon-Lítio Combinando uma Unidade Recorrente com Portão Aprimorada por Atenção com Correção Residual |
| 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 |