TY - JOUR
T1 - Novel thermal management methods to improve the performance of the Li-ion batteries in high discharge current applications
AU - Behi, Hamidreza
AU - Karimi, Danial
AU - Jaguemont, Joris
AU - Heidari Gandoman, Foad
AU - Kalogiannis, Theodoros
AU - Berecibar, Maitane
AU - Van Mierlo, Joeri
PY - 2021/6/1
Y1 - 2021/6/1
N2 - Over the last few decades investigating the performance of thermal management in the high charge/discharge current has been taken into consideration in many studies. In this study, a mature heat pipe-based air cooling system is built to control the temperature of the lithium-ion (Li-ion) cell/module in the high current (184 A) discharging rate. The temperature of the cell/module experimentally and numerically is considered by the lack of natural convection, natural convection, forced convection, and evaporative cooling. According to the experimental results, the natural and forced convection decrease the average temperature of the cell by 6.2% and 33.7% respectively. Moreover, several numerical simulations are solved by COMSOL Multiphysics®, the commercial computational fluid dynamics (CFD) software. The simulation results are validated against experimental results at the cell level for natural and forced convection. It indicates that the evaporative cooling method is robust to enhance the current cooling system method for further optimization. The results show that there is a 35.8% and 23.8% reduction in the maximum temperature of the cell and module due to the effect of the evaporative cooling method respectively.
AB - Over the last few decades investigating the performance of thermal management in the high charge/discharge current has been taken into consideration in many studies. In this study, a mature heat pipe-based air cooling system is built to control the temperature of the lithium-ion (Li-ion) cell/module in the high current (184 A) discharging rate. The temperature of the cell/module experimentally and numerically is considered by the lack of natural convection, natural convection, forced convection, and evaporative cooling. According to the experimental results, the natural and forced convection decrease the average temperature of the cell by 6.2% and 33.7% respectively. Moreover, several numerical simulations are solved by COMSOL Multiphysics®, the commercial computational fluid dynamics (CFD) software. The simulation results are validated against experimental results at the cell level for natural and forced convection. It indicates that the evaporative cooling method is robust to enhance the current cooling system method for further optimization. The results show that there is a 35.8% and 23.8% reduction in the maximum temperature of the cell and module due to the effect of the evaporative cooling method respectively.
UR - http://www.scopus.com/inward/record.url?scp=85102150739&partnerID=8YFLogxK
U2 - 10.1016/j.energy.2021.120165
DO - 10.1016/j.energy.2021.120165
M3 - Article
VL - 224
JO - Energy
JF - Energy
SN - 0360-5442
M1 - 120165
ER -