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A novel data-driven adaptive incremental battery remaining useful life prediction framework

delete2026-02-22
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PRE
AI
Z
Zihao Liao
S
Shaobo Li *
李澄江 (Chengjiang Li)
C
Chuanjiang Li
Y
Yizong Zhang
C
Chenglong Zhang *
DOI:10.1016/j.measurement.2026.120921delete
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Abstract

Abstract

En 中文
• Developed an integrated preprocessing pipeline. • Applied decay regularization in stochastic configuration network. • Introduced an improved SCSO for hyperparameter optimization in SCN.
Keywords:
battery remaining useful life
stochastic configuration network
decay regularization
improved SCSO
data-driven framework

Journal

Measurement cover
Measurement
IF:
5.6
Papers:
1.9W
Citations:
5.4W

Organization

T
the chinese university of hong kong
Scholars:
3.9K
Papers: 1.8K
Citations: 0
G
Guizhou University
Scholars:
3.3K
Papers: 1.1K
Citations: 1.6W