Advanced fault diagnosis in batteries: Insights into fault mechanisms, sensor fusion, and artificial intelligence

With the increasing demand for sustainable and clean energy, lithium-ion batteries have emerged as one of the most essential energy storage technologies. However, safety concerns have become a major bottleneck, significantly constraining their widespread deployment. This highlights the critical need...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Kailong Liu, Shiwen Zhao, Yu Wang, Kang Li, Jiayue Wang, Yaojie Sun, Qiuwei Wu, Qiao Peng
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2025-12-01
Schriftenreihe:	Advances in Applied Energy
Schlagworte:	Battery management Fault diagnosis Sensor fusion Artificial intelligence
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S2666792425000411
Tags:	Tag hinzufügen Keine Tags, Fügen Sie das erste Tag hinzu!