联轴节(管道)
电阻抗
材料科学
降级(电信)
跟踪(教育)
电池(电)
功率(物理)
声学
光谱密度
介电谱
电子工程
过程(计算)
限制
超声波
签名(拓扑)
功率密度
结构健康监测
高阻抗
计算机科学
阻抗参数
作者
Tanner Hamann,Anna Knight,Yanan Sha,Jesse S. Ko
标识
DOI:10.1021/acsaem.5c02433
摘要
Battery aging is a complex process driven primarily by material degradation and accelerates under harsh cycling conditions, ultimately limiting performance. Herein, we investigate electro-mechanical degradation under representative charge/discharge protocols (3.0C/0.2C, 1C/2C, and 0.5C/0.5C) and show that combining ultrasound sensing with electrochemical impedance spectroscopy (EIS) enables accurate assessment of electro-mechanical degradation. Ultrasound detects mechanical defects by tracking shifts in the power spectral density of acoustic signals, while EIS captures the early onset─or absence─of degradation. Combined, these techniques provide a framework for battery health monitoring, with each addressing limitations of the other.
科研通智能强力驱动
Strongly Powered by AbleSci AI