Joint state of health and remaining useful life assessment of lithium-ion batteries using a novel attention mechanism-based deep learning model and multi-source optimized health indicators

Journal of Energy Storage 2026

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Authors: Dexiong Li, Yan Xing, Xiaopeng Li

DOI: 10.1016/j.est.2026.121823

Cited by: 2

References: 54

Fields of Study & Subjects

Advanced Battery Technologies Research Machine Fault Diagnosis Techniques Advancements in Battery Materials

References 54