Transfer learning to estimate lithium-ion battery state of health with electrochemical impedance spectroscopy

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 110, P. 115345 - 115345

Published: Jan. 11, 2025

Language: Английский

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Lithium-Ion Battery Condition Monitoring: A Frontier in Acoustic Sensing Technology

Energies, Journal Year: 2025, Volume and Issue: 18(5), P. 1068 - 1068

Published: Feb. 22, 2025

Lithium-ion batteries (LIBs) are widely used in the fields of consumer electronics, new energy vehicles, and grid storage due to their high density long cycle life. However, how effectively evaluate State Charge (SOC), Health (SOH), overcharging behavior has become a key issue improving battery safety lifespan. Acoustic sensing technology, as an advanced non-destructive monitoring method, achieves real-time internal state accurate evaluation parameters through ultrasonic testing technology acoustic emission technology. This article systematically reviews research progress SOC, SOH, overcharge LIBs, analyzes its working principle application advantages, explores future optimization directions industrialization prospects. provides important support for building efficient safe management systems.

Language: Английский

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Progress in estimating the state of health using transfer learning–based electrochemical impedance spectroscopy of lithium-ion batteries

Ionics, Journal Year: 2025, Volume and Issue: 31(3), P. 2337 - 2349

Published: Jan. 14, 2025

Language: Английский

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Data-driven state of health and state of safety estimation for alternative battery chemistries – A comparative review focusing on sodium-ion and LFP lithium-ion batteries

Deleted Journal, Journal Year: 2025, Volume and Issue: unknown, P. 100033 - 100033

Published: Jan. 1, 2025

Language: Английский

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A novel dual gated recurrent unit neural network based on error compensation integrated with Kalman filter for the state of charge estimation of parallel battery modules

Journal of Power Sources, Journal Year: 2025, Volume and Issue: 635, P. 236508 - 236508

Published: Feb. 16, 2025

Language: Английский

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A semi-supervised learning strategy for lithium-ion battery capacity estimation with limited impedance data

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135129 - 135129

Published: Feb. 1, 2025

Language: Английский

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Battery state-of-health estimation based on random charge curve fitting and broad learning system with attention mechanism

Journal of Power Sources, Journal Year: 2025, Volume and Issue: 636, P. 236544 - 236544

Published: Feb. 21, 2025

Language: Английский

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Interfacial Engineering of MoS₂ and Bimetallic MOF Hybrid for Superior Piezo-Photocatalytic Hydrogen Production and Wastewater Treatment

Journal of Alloys and Compounds, Journal Year: 2025, Volume and Issue: unknown, P. 179304 - 179304

Published: Feb. 1, 2025

Language: Английский

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Deep Learning-Assisted Triboelectric Sensor for Complex Gesture Recognition

ACS Omega, Journal Year: 2025, Volume and Issue: 10(9), P. 9381 - 9389

Published: Feb. 26, 2025

With the rapid development of Internet Things (IoT) and 5G technology, there has been a considerable increase in demand for self-powered flexible sensors. However, existing solutions frequently prove inadequate regarding flexibility, energy efficiency, accuracy with which gestures can be recognized, particularly noncontact operation scenarios. As result, is need innovative developments sensor technology. This study proposes an artificial intelligence-based gesture recognition system comprising triboelectric ring, Arduino signal processing module, deep learning module. Our approach enables direct reading signals by through integrated circuits, thereby maintaining output voltage within input range commonly used microcontrollers. The integration technology sophisticated methodologies, notably utilization one-dimensional convolutional neural network (CNN), enabled that exhibits rate exceeding 95% 12 distinct gestures. demonstrates prospective utility sensors realms recognition, wearable human–machine interaction.

Language: Английский

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Lipidome Alterations of Prefrontal Cortex and Hippocampus of Mice‐Induced Sleep Deprivation

ChemistrySelect, Journal Year: 2025, Volume and Issue: 10(8)

Published: Feb. 1, 2025

Abstract Chronic sleep deprivation (SD) impairscognitive function and promotes neurodegenerative changes, particularly in thehippocampus prefrontal cortex. Study investigates the biochemical andimmunological effects of SD evaluates neuroprotective properties ofmelatonin using Fourier Transform Raman (FT‐Raman) spectroscopy. Hippocampaland cortical tissues from four groups micecontrol, melatonin‐treated, sleep‐deprived, sleep‐deprived with melatoninwere analyzed. FT‐Ramanspectra revealed significant changes C─H bending, C─C vibrations, amides, lipids between control groups. led to increased lipidperoxidation, especially hippocampus, while melatonin treatment reducedlipid peroxidation amide levels. In cortex, mitigatedbiochemical alterations associated SD, such as elevated amides lipids.Immunological assessments showed SD‐induced T helper (Th) cellsubpopulations, including an increase effector Th cells a decrease innaive cells. Melatonin normalized these changes. PrincipalComponent Analysis (PCA) indicated clear separation SDsamples, PC1 PC2 explaining 95.58% variance. Classificationusing GS‐kNN algorithm achieved cortex (accuracies: 79.167%) andin hippocampus 70.833%). These findings highlight SD‐inducedbiochemical immunological suggest melatonin'sneuroprotective role reducing oxidative stress modulating immunedysfunction.

Language: Английский

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