2019
DOI: 10.1016/j.energy.2018.11.011
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Cooling efficiency improvement of air-cooled battery thermal management system through designing the flow pattern

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Cited by 251 publications
(66 citation statements)
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“…Many of the studies performed infer certain crucial points and two such major concepts demonstrated were: first, Hong et al 17 states that temperature rise and difference were independent of the inlet air temperature; second, a cell designed by Gou et al 18 shows a significant increase in thermal performance concerning air cooling measure. Undoubtedly, inlet and outlet parameters such as air inlet area, air outlet area, and air inlet velocity affect the cooling performance and this concept was also supported by the study made by Chen et al 19 Panchal et al 20 talks about the importance of precise thermophysical property input, which is possible only after proper thermal study of the battery, for an accurate thermal modeling. Al-Zareer et al 21 states that increment in the spacing between the cells results in reduction of maximum temperature difference (MT).…”
Section: Introductionmentioning
confidence: 88%
“…Many of the studies performed infer certain crucial points and two such major concepts demonstrated were: first, Hong et al 17 states that temperature rise and difference were independent of the inlet air temperature; second, a cell designed by Gou et al 18 shows a significant increase in thermal performance concerning air cooling measure. Undoubtedly, inlet and outlet parameters such as air inlet area, air outlet area, and air inlet velocity affect the cooling performance and this concept was also supported by the study made by Chen et al 19 Panchal et al 20 talks about the importance of precise thermophysical property input, which is possible only after proper thermal study of the battery, for an accurate thermal modeling. Al-Zareer et al 21 states that increment in the spacing between the cells results in reduction of maximum temperature difference (MT).…”
Section: Introductionmentioning
confidence: 88%
“…η w , η t , and c p,w are the molecular viscosity, turbulent viscosity and specific heat capacity of the cooling water, respectively. C 1 , C 2 , C μ , σ k , σ ε , and σ T are k ‐ ε model parameters, valued as 1.44, 1.92, 0.09, 1.00, 1.30, and 0.85, respectively …”
Section: Methodsmentioning
confidence: 99%
“…C 1 , C 2 , C μ , σ k , σ ε , and σ T are k-ε model parameters, valued as 1.44, 1.92, 0.09, 1.00, 1.30, and 0.85, respectively. 31 The maximum temperature (T max ) and maximum temperature difference (ΔT max ) of the heating surface and energy consumption (W p ) of the cold plate are the main variables to evaluate the system performance. ΔT max and W p are, respectively, calculated by…”
Section: Numerical Modelsmentioning
confidence: 99%
“…The highest temperature and maximum temperature difference are the two main indicators for evaluating the cooling efficiency of battery thermal management system. Flow field and the temperature field can be calculated using CFD method . The energy conservation equation of the battery cell is given as follows: ρbCbTbt=x()kxTbx+y()kyTby+z()kzTbz+Q, where ρ b and C b mean the density and specific heat of the battery, k x , k y , k z , respectively, represent the thermal conductivity of the battery in the X , Y , Z directions.…”
Section: Modelmentioning
confidence: 99%