For lithium-ion cell health diagnosis, machine learning techniques have been widely used
but still leave something to be desired. Specifically, Gaussian process regression (GPR) …

Lithium-ion batteries have been widely used in various aspects of our lives, playing a crucial
role in numerous applications. The state of health (SOH) serves as a pivotal indicator, and …

Accurate estimations in state of health (SOH) and remaining useful life (RUL) are significant
for safe and efficient operation of batteries. With the development of big data and deep …

The complex operational conditions in real-world electric vehicles (EVs) contribute to the
complexity of managing and maintaining battery packs. Adding to these challenges is the …

With the rapid development of economy, air pollution caused by industrial expansion has
caused serious harm to human health and social development. Therefore, establishing an …

Accurate prediction of remaining useful life is of great value for the maintenance and
replacement of electric vehicles lithium-ion batteries. This paper aims to present a grey …

Lithium-ion battery (LIB) has been widely used in many energy storage systems, and the
accurate remaining useful life (RUL) prediction of LIB is essential to ensure the safe …

The time-varying, dynamic, nonlinear, and other characteristics of lithium-ion batteries, as
well as the capacity regeneration phenomenon, leads to the low accuracy of the traditional …

Remaining useful life (RUL) prediction of important mechanical parts is particularly important
for important equipment such as aerospace, large-scale production lines, ships, railway and …

锂离子电池是重要的储能手段之一, 对其剩余使用寿命(RUL) 进行预测具有非常重要的实际意义
. 本工作首先针对传统特征提取方法依赖参数设置且对于不同锂离子电池数据集适应性差的缺陷 …