Early Remaining Useful Life Prediction for Lithium-Ion Batteries Using a Gaussian Process Regression Model Based on Degradation Pattern Recognition

Lithium-ion batteries experience nonlinear degradation characteristics during long-term operation. Accurate estimation of their remaining useful life (RUL) is of significant importance for early fault diagnosis and residual value evaluation. However, existing RUL prediction approaches often suffer f...

पूर्ण विवरण

ग्रंथसूची विवरण

मुख्य लेखकों:	Linlin Fu, Bo Jiang, Jiangong Zhu, Xuezhe Wei, Haifeng Dai
स्वरूप:	Artigo
भाषा:	Inglês
प्रकाशित:	MDPI AG 2025-06-01
श्रृंखला:	Batteries
विषय:	lithium-ion battery early life prediction health features extraction degradation pattern recognition Gaussian process regression hyperparameter optimization
ऑनलाइन पहुंच:	https://www.mdpi.com/2313-0105/11/6/221
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