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Novel thermal management methods to improve the performance of the Li-ion batteries in high discharge current applications

Authors: Behi, Hamidreza; Karimi, Danial; Jaguemont, Joris; Gandoman, Foad Heidari; Kalogiannis, Theodoros; Berecibar, Maitane; Van Mierlo, Joeri;

Novel thermal management methods to improve the performance of the Li-ion batteries in high discharge current applications

Abstract

Abstract 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.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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OpenAIRE UsageCountsViews provided by UsageCounts
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79
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