Abstract
This investigation’s primary purpose was to illustrate the cooling mechanism within a lithium titanate oxide lithium-ion battery pack through the experimental measurement of heat generation inside lithium titanate oxide batteries. Dielectric water/glycol (50/50), air and dielectric mineral oil were selected for the lithium titanate oxide battery pack’s cooling purpose. Different flow configurations were considered to study their thermal effects. Within the lithium-ion battery cells in the lithium titanate oxide battery pack, a time-dependent amount of heat generation, which operated as a volumetric heat source, was employed. It was assumed that the lithium-ion batteries within the battery pack had identical initial temperature conditions in all of the simulations. The lithium-ion battery pack was simulated by ANSYS to determine the temperature gradient of the cooling system and lithium-ion batteries. Simulation outcomes demonstrated that the lithium-ion battery pack’s temperature distributions could be remarkably influenced by the flow arrangement and fluid coolant type.
Highlights
Lithium-ion batteries were appointed as an alternative for e-mobility utilizations attributable to their excellent performance
A battery pack simulation was accomplished through ANSYS to study temperature evolution within the battery pack during the time that the cooling fluid was flowing
The lithium-ion battery cells employed in this investigation were 13 Ah high-power lithium titanate oxide lithium-ion battery cells
Summary
Lithium-ion batteries were appointed as an alternative for e-mobility utilizations attributable to their excellent performance. Different research [1,2,3,4] has studied the thermal management of lithium-ion batteries. It should be noted that important automotive manufacturi panies including General Motors, Hyundai and Tesla are employing wat5e1r-based procedures for the thermal management of the lithium-ion batteries in electric [9]. The thermal management of lithium titanate oxide-based lithium-ion batteries has been studied less than the other features. A combination of time-dependent heat generation models and computational fluid dynamics from ANSYS for transient thermal research of the thermal management of lithium-ion battery packs was used.
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