Trustworthy battery state of charge estimation enabled by multi-task deep learning Article Swipe

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Liang Ma , Yannan Li , Tieling Zhang , Jinpeng Tian , Qinghua Guo , Shanshan Guo , Chunsheng Hu , C. Y. Chung ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.1016/j.energy.2025.136264

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Trustworthiness Task (project management) Battery (electricity) State (computer science) Charge (physics) Computer science Estimation State of charge Deep learning Artificial intelligence Engineering Machine learning Computer security Systems engineering Physics Algorithm Power (physics) Quantum mechanics

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Type: article
Language: en
Landing Page: https://doi.org/10.1016/j.energy.2025.136264
OA Status: hybrid
Cited By: 4
References: 70
Related Works: 10
OpenAlex ID: https://openalex.org/W4409652483

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DOI: https://doi.org/10.1016/j.energy.2025.136264

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Title: Trustworthy battery state of charge estimation enabled by multi-task deep learning

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Type: article

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Language: en

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Publication year: 2025

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Publication date: 2025-04-21

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Authors: Liang Ma, Yannan Li, Tieling Zhang, Jinpeng Tian, Qinghua Guo, Shanshan Guo, Chunsheng Hu, C. Y. Chung

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Landing page: https://doi.org/10.1016/j.energy.2025.136264

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Concepts: Trustworthiness, Task (project management), Battery (electricity), State (computer science), Charge (physics), Computer science, Estimation, State of charge, Deep learning, Artificial intelligence, Engineering, Machine learning, Computer security, Systems engineering, Physics, Algorithm, Power (physics), Quantum mechanics

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Cited by: 4

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Citations by year (recent): 2025: 4

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References (count): 70

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citation_normalized_percentile.value	0.93754331
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	True