Open Access Journal of Engineering Applications
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Analysis of Lithium-Ion Battery Degradation using Support Vector Machines

Ngozi Reddy Corresponding 0000-0001-8744-1355
Imperial College London
Li Zhao
Imperial College London
Sharmin Karim 0000-0001-6889-7640
Delft University of Technology
Ngozi Andersson 0000-0002-4631-7658
Middle East Technical University
31 Mar 2026
pp. 747-778
https://doi.org/10.55555/oajea.2026.5001.034

Abstract

The transition toward low-carbon infrastructure places carbon capture facilities at the centre of debates over resource efficiency and resilience. This study applies support vector machines to a representative set of cases drawn from carbon capture facilities. Energy consumption fell by 17% without any measurable loss of performance. The results caution against extrapolating laboratory findings to full-scale operation without validation.
Keywords: lithium-ion battery degradationsupport vector machinesphotovoltaic systemsadditive manufacturingair quality

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