2010
DOI: 10.1007/s10010-010-0127-y
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Thermal modelling of new Li-ion cell design modifications

Abstract: The effects of material and design modifications on the temperature distribution of Li-ion cells are simulated numerically. A two-dimensional anisotropic cylindrical coordinate model with linear triangular finite elements is used to simulate the steady-state temperature distribution within the cell. The cell's material and geometry are changed. New cell materials are investigated for thermal performance: a negative electrode of variously-oriented carbon nanotubes, as well as separators made of Separion, of Al … Show more

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Cited by 25 publications
(11 citation statements)
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“…An important requirement for calculating heat transfer rates within the cell is to estimate the composite conductivities of the cell layers both parallel to the layers and across the layers. The resulting conductivities vary considerably with the relative thicknesses of the layers as shown in Table 6.3, for which the results are consistent with the literature [41][42][43][44][45]. These values for conductivities and a range of cell dimensional parameters (Table 6.4) were employed in selected arrangements for calculating heat transfer rates with the FlexPDE model for 70 representative cells that covered a broader range of variables than is needed for practical cells.…”
Section: Heat Transfer From Cell To Module Wallsupporting
confidence: 76%
“…An important requirement for calculating heat transfer rates within the cell is to estimate the composite conductivities of the cell layers both parallel to the layers and across the layers. The resulting conductivities vary considerably with the relative thicknesses of the layers as shown in Table 6.3, for which the results are consistent with the literature [41][42][43][44][45]. These values for conductivities and a range of cell dimensional parameters (Table 6.4) were employed in selected arrangements for calculating heat transfer rates with the FlexPDE model for 70 representative cells that covered a broader range of variables than is needed for practical cells.…”
Section: Heat Transfer From Cell To Module Wallsupporting
confidence: 76%
“…The resulting conductivities vary considerably with the relative thicknesses of the layers as shown in Table 4.1, for which the results are consistent with the literature. [39][40][41][42][43] These values for conductivities and a range of cell dimensional parameters (Table 4.2) were employed in selected arrangements for calculating heat transfer rates with the FlexPDE model for 70 representative cells that covered a broader range of variables than is needed for practical cells. For each of these cells, the FlexPDE model calculated the temperature difference between the cell center and the module housing per unit of heat generation, T/q ( o C/W), and the fraction of the total heat that was transferred through the edge of the cell, q e /q.…”
Section: Heat Transfer From Cell To Module Wallmentioning
confidence: 99%
“…Notably, some researchers have also proposed new BTMSs, such as jet cooling and boiling cooling . More importantly, due to insufficient vertical temperature gradient control caused by external cooling strategies at high heat generation, the internal cooling strategies were investigated to mitigate battery heat problems . Bandhauer et al utilized a passive liquid‐vapor phase change heat removal inside micro‐channels embedded into the cell to demonstrate the possible performance improvement based on a 3D electrochemical‐thermal model.…”
Section: Model‐based Bms Applicationmentioning
confidence: 99%