Battery thermal management system analysis on electric vehicles
DOI:
https://doi.org/10.15282/jmes.20.3.2026.5.0882Keywords:
BTMS, Lithium-ion Batteries, Temperature gradient, Computational fluid dynamics, Analytic hierarchy process, Thermal managementAbstract
Battery thermal management systems (BTMS) are crucial for managing the battery temperature in electric vehicles, and their efficiency has become a bottleneck in increasing the charging and discharging rates. This study examines the impact of cell arrangement and coolant type on BTMS performance and identifies the most suitable setup for the current module. ANSYS computational fluid dynamics software was used to simulate the immersion cooling of a battery module containing 96 units of 21700 cylindrical cells. Two cell arrangements and three coolants were simulated at inlet velocities of 0.0020, 0.0045, 0.01, 0.015, and 0.02 m s−1. The inlet velocity was maintained constant at the module inlet, and the pressure loss from the pump was not considered to simplify the study. The results indicate that the aligned module reduced the maximum module temperature and module temperature gradient by 7.91% and 24.64%, respectively. Among the coolants, water exhibited superior cooling performance, reducing the maximum temperature and temperature gradient of the module by 17.61% and 63.77%, respectively. The Analytic Hierarchy Process (AHP) reached the same decision, identifying water as the most suitable alternative for the criteria used in this study. However, water poses a significant safety risk because it can cause a short circuit in the battery when polluted with ions. The study recommends that future work include safety and coolant lifespan as additional AHP criteria and apply more detailed module geometry to achieve more practical results.
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