Publications from 2021 to 2026
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Revealing fly ash induced cement hydration retardation: The application of embedded integrated sensing element and coda wave analysis
From tracking to thinking: Facilitating post-exercise reflection by a large language model-mediated journaling system
Explosive synchronization in Chialvo neuronal network: Roles of chemical, electrical, and hybrid coupling
Exploration of grid types for radiation field representing and path-finding
MVR: Multimodule visual reasoner-assisted small object tracking with a remote sensing-based UAV
Stimuli-responsive logical gate biosensor based on integrated DNAzyme probe for the discrimination of cancer cells.
Detection and Analysis of Acoustic Emission Signal in Lithium-Ion Batteries During Charging and Discharging
Lithium-ion batteries (LIBs) have become a critical technological cornerstone in modern energy infrastructure due to their high energy density and long cycle life. Monitoring of LIBs is essential for safety and reliability. Acoustic Emission (AE) technology enables non-destructive online monitoring of LIBs under normal operating conditions, coupled with electrochemical analysis. This paper employs an experimental setup to monitor AE signals during the charging and discharging processes of LIBs. A feature analysis of the preprocessed AE signals is conducted in conjunction with electrochemical-mechanical mechanisms. The results indicate that the deintercalation and intercalation of lithium ions (Li-ions) at the electrodes may generate opposite characteristics in the AE signals. The peak-peak amplitude and waveform time intervals of the signals show strong correlations with the electrical parameters and electrochemical states of the LIB under different charging and discharging modes, allowing for the identification of constant current (CC) and constant voltage (CV) stages. Analysis of data from multiple LIBs under different state demonstrates the universality of these features. This confirms that AE is an effective method for gaining detailed, real-time insights into the internal state and mechanisms of LIBs.
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1In-situ TEM assisted controllable synthesis of lignin-derived graphene-like carbon for electrochemical energy applications
An enhanced stacking ensemble learning strategy for product quality estimation in complex industrial processes considering multi-timescale data
Research on the mechanism and implementation pathways of artificial intelligence-driven synergistic development of intelligent construction and construction industrialization
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