Akademik Veri Yönetim Sistemi
VII. International Halich Congress on Multidisciplinary Scientific Research, İstanbul, Türkiye, 23 - 25 Ocak 2024, ss.319
A detailed understanding of thermal behavior of lithium-ion batteries under various operating conditions is key to develop robust battery thermal management systems. In this study, the effect of ambient temperature, C-rate and convective heat transfer coefficient on the maximum battery temperature of a commercially available 26650 LiCoO2 battery were statistically investigated by the Taguchi design. The multi-scale multi-dimensional NTGK (Newman, Tiedemann, Gu, and Kim) model was implemented to obtain the maximum battery temperature numerically. ANSYS Fluent was used to perform the L16 (43) orthogonal array simulations. The results showed that the C-rate with the delta value of 0.23 was the main discharge parameter for the maximum battery temperature. The effect of ambient temperature (delta=0.16) was higher than that of the convective heat transfer coefficient (delta=0.03). The variance analysis showed that more attention was paid to the C-rate (P value=0.001) and the ambient temperature (P value=0.005) to control the maximum battery temperature. There was not a statistically significant association between the maximum battery temperature and the convective heat transfer coefficient. Therefore, the effect of the convective heat transfer coefficient can be neglected compared to other discharge parameters. The statistically obtained results can be used to improve the battery thermal management systems.