Akademik Veri Yönetim Sistemi
International Journal of Green Energy, cilt.22, sa.9, ss.1863-1873, 2025 (SCI-Expanded)
In this study, the effect of various parameters including C-rate, mixing ratio, inlet velocity, and ambient temperature on thermal performance was numerically and statistically investigated. The dominant factors for nanofluid based liquid cooling to prevent temperature increase in a lithium-ion battery model were identified by orthogonal plan. Based on what was observed in the current study, concerning the maximum battery temperature the effect of the ambient temperature was higher than the other parameters. C-rate was determined to be the second effective parameter for the maximum battery temperature while inlet velocity was the third influential factor followed by mixing ratio. On the other hand, C-rate and inlet velocity were found to be the key design parameters for enhancing temperature stability across the lithium-ion battery model. Statistically analyzing the effect of a number of design parameters on the performance of cooling will provide a design guideline for developing the nanofluids based robust battery thermal management system.