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

Energies, Год журнала: 2025, Номер 18(5), С. 1068 - 1068

Опубликована: Фев. 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.

Язык: Английский

---

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

Ionics, Год журнала: 2025, Номер 31(3), С. 2337 - 2349

Опубликована: Янв. 14, 2025

Язык: Английский

---

Second-life battery energy storage system for energy sustainability: Recent advancements, key takeaways and future perspectives

Journal of Energy Storage, Год журнала: 2025, Номер 123, С. 116808 - 116808

Опубликована: Май 1, 2025

Язык: Английский

---

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, Год журнала: 2025, Номер 635, С. 236508 - 236508

Опубликована: Фев. 16, 2025

Язык: Английский

---

Deep Learning-Assisted Triboelectric Sensor for Complex Gesture Recognition

ACS Omega, Год журнала: 2025, Номер 10(9), С. 9381 - 9389

Опубликована: Фев. 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.

Язык: Английский

---

Gradient of precipitation phenomena in tall laser powder bed-fused AlSi7Mg samples: effects of heated substrate and aging heat treatments

Journal of Alloys and Compounds, Год журнала: 2025, Номер unknown, С. 179459 - 179459

Опубликована: Фев. 1, 2025

Язык: Английский

---

Optimization and prediction of mechanical properties of TPU-Based wrist hand orthosis using Bayesian and machine learning models

Measurement, Год журнала: 2025, Номер unknown, С. 117405 - 117405

Опубликована: Март 1, 2025

Язык: Английский

---

State of Health estimation of lithium-ion batteries under multistage constant current fast charging

Journal of Power Sources, Год журнала: 2025, Номер 643, С. 236982 - 236982

Опубликована: Апрель 14, 2025

Язык: Английский

---

Innovative deep learning method for predicting the state of health of lithium-ion batteries based on electrochemical impedance spectroscopy and attention mechanisms

Frontiers of Chemical Science and Engineering, Год журнала: 2025, Номер 19(6)

Опубликована: Апрель 20, 2025

Язык: Английский

---

Adaptive Multi-Criteria group Decision-Making for optimized crop selection using the p,q- quasirung orthopair fuzzy hybrid aggregation operator

Expert Systems with Applications, Год журнала: 2025, Номер unknown, С. 128126 - 128126

Опубликована: Май 1, 2025

Язык: Английский

---