Data-Driven

Data-driven battery capacity estimation using support vector regression and model bagging under fast-charging conditions
Lithium-ion batteries offer significant advantages in terms of their high energy and power density and efficiency, but capacity …
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Interpretable Data-Driven Capacity Estimation of Lithium-ion Batteries
Battery degradation poses a significant challenge for the usage of Lithium-ion batteries, making accurate capacity estimation crucial …
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A Generalizable Method for Capacity Estimation and RUL Prediction in Lithium-Ion Batteries
Data-driven methods have attracted much attention in capacity estimation and remaining useful life (RUL) prediction of lithium-ion …
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Data-driven capacity estimation of commercial lithium-ion batteries from voltage relaxation
Accurate capacity estimation is crucial for the reliable and safe operation of lithium-ion batteries. In particular, exploiting the …
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Data-driven lithium-ion battery capacity estimation from voltage relaxation
Accurate capacity estimation is critical for reliable and safe operation of lithium-ion batteries. A proposed approach exploiting …
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Data-driven dynamic inferential sensors based on causality analysis
Considering the stringent requirements for product quality of complex industrial processes, the purpose of this study is to apply …
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