Thermal assessment of Li-ion battery cells and coolant in hybrid electric vehicles system: Application of conjugate condition and response surface methodology
Numerical and response surface (RS) analysis of the thermal performance of prismatic battery-operated cell is performed cooled by the forced flow of air considering conjugate condition at the cell-fluid interface. At the battery-air interface, where the heat flow continuity and temperature condition...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | Case Studies in Thermal Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X25000267 |
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| author | Asif Afzal M.K. Ramis R.D. Jilte Mamdooh Alwetaishi Sung Goon Park Abdulrajak Buradi Qasem M. Al-Mdallal Ümit Ağbulut |
| author_facet | Asif Afzal M.K. Ramis R.D. Jilte Mamdooh Alwetaishi Sung Goon Park Abdulrajak Buradi Qasem M. Al-Mdallal Ümit Ağbulut |
| author_sort | Asif Afzal |
| collection | DOAJ |
| description | Numerical and response surface (RS) analysis of the thermal performance of prismatic battery-operated cell is performed cooled by the forced flow of air considering conjugate condition at the cell-fluid interface. At the battery-air interface, where the heat flow continuity and temperature condition exist, the combined heat transfer condition is examined. Control volume-based code is developed where the Navier-stokes equation is solved by SIMPLE algorithm. The numerical work is endorsed by the experimental work specified in the literature. The effects of ζcc (conduction–convection parameter – 0.06 to 0.1), Ar (Aspect ratio 10 to 30), volumetric heat generation (S‾q – 0.1 to 1.0), and Re (Reynolds number – 250 to 2000) are investigated. The effect of the parameters mentioned above on temperature distribution (TeDi) along the axial direction (AD) in the battery cell (BC) and transverse TeDi in the fluid channel is investigated. The variations in temperature gradient and maximum temperature (MT) difference for different S‾q, ζcc, Re, and Ar are illustrated. The RS methodology is employed to analyze the MT of the battery. The MT difference obtained with increasing S‾q and Re is quite significant. The MT difference obtained with an increase in ζcc and Re is much less and the same is negligible with Ar. Re below 500 and ζcc below 0.06 will cause a greater increase in MT, which acts as lower limits. Similarly, Re above 1250 and ζcc above 0.08 do not help in the reduction of MT. For S‾q = 0.7 and above, the temperature crosses its maximum permissible limit of the battery cell. The RS model developed gives an accuracy of 97 %, close to the numerical values. The RS analysis of MT indicates that S‾q is the most influential parameter. |
| format | Article |
| id | doaj-art-5798cd7d576b42c2af147f60995085ad |
| institution | Kabale University |
| issn | 2214-157X |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Case Studies in Thermal Engineering |
| spelling | doaj-art-5798cd7d576b42c2af147f60995085ad2025-02-02T05:27:24ZengElsevierCase Studies in Thermal Engineering2214-157X2025-02-0166105766Thermal assessment of Li-ion battery cells and coolant in hybrid electric vehicles system: Application of conjugate condition and response surface methodologyAsif Afzal0M.K. Ramis1R.D. Jilte2Mamdooh Alwetaishi3Sung Goon Park4Abdulrajak Buradi5Qasem M. Al-Mdallal6Ümit Ağbulut7Department of Mechanical Engineering, P. A. College of Engineering (Affiliated to Visvesvaraya Technological University, Belagavi), Mangaluru, 574153, India; University Centre for Research & Development, Department of Mechanical Engineering, Chandigarh University, Gharuan, Mohali, Punjab, India; Corresponding author. Department of Mechanical Engineering, P. A. College of Engineering (Affiliated to Visvesvaraya Technological University, Belagavi), Mangaluru, 574153, India.Department of Mechanical Engineering, P. A. College of Engineering (Affiliated to Visvesvaraya Technological University, Belagavi), Mangaluru, 574153, IndiaEnergy Centre, Maulana Azad National Institute of Technology (MANIT), Bhopal, M.P, 462003, IndiaDepartment of Civil Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif, 21944, Saudi ArabiaDepartment of Mechanical and Automotive Engineering, Seoul National University of Science and Technology, 232 Gongneung-ro, Nowon-gu, Seoul, 01811, South KoreaDepartment of Mechanical Engineering, Nitte Meenakshi Institute of Technology, Bangalore, 560064, Karnataka, IndiaDepartment of Mathematical Sciences, United Arab Emirates University, P.O. Box 15551, Al Ain, Abu Dhabi, United Arab Emirates; Corresponding author.Department of Mechanical Engineering, Faculty of Mechanical Engineering, Yildiz Technical University, Besiktas, Istanbul, TürkiyeNumerical and response surface (RS) analysis of the thermal performance of prismatic battery-operated cell is performed cooled by the forced flow of air considering conjugate condition at the cell-fluid interface. At the battery-air interface, where the heat flow continuity and temperature condition exist, the combined heat transfer condition is examined. Control volume-based code is developed where the Navier-stokes equation is solved by SIMPLE algorithm. The numerical work is endorsed by the experimental work specified in the literature. The effects of ζcc (conduction–convection parameter – 0.06 to 0.1), Ar (Aspect ratio 10 to 30), volumetric heat generation (S‾q – 0.1 to 1.0), and Re (Reynolds number – 250 to 2000) are investigated. The effect of the parameters mentioned above on temperature distribution (TeDi) along the axial direction (AD) in the battery cell (BC) and transverse TeDi in the fluid channel is investigated. The variations in temperature gradient and maximum temperature (MT) difference for different S‾q, ζcc, Re, and Ar are illustrated. The RS methodology is employed to analyze the MT of the battery. The MT difference obtained with increasing S‾q and Re is quite significant. The MT difference obtained with an increase in ζcc and Re is much less and the same is negligible with Ar. Re below 500 and ζcc below 0.06 will cause a greater increase in MT, which acts as lower limits. Similarly, Re above 1250 and ζcc above 0.08 do not help in the reduction of MT. For S‾q = 0.7 and above, the temperature crosses its maximum permissible limit of the battery cell. The RS model developed gives an accuracy of 97 %, close to the numerical values. The RS analysis of MT indicates that S‾q is the most influential parameter.http://www.sciencedirect.com/science/article/pii/S2214157X25000267Li-ion batteryHeat generationThermal behaviorReynolds numberAxial temperatureMaximum temperature |
| spellingShingle | Asif Afzal M.K. Ramis R.D. Jilte Mamdooh Alwetaishi Sung Goon Park Abdulrajak Buradi Qasem M. Al-Mdallal Ümit Ağbulut Thermal assessment of Li-ion battery cells and coolant in hybrid electric vehicles system: Application of conjugate condition and response surface methodology Case Studies in Thermal Engineering Li-ion battery Heat generation Thermal behavior Reynolds number Axial temperature Maximum temperature |
| title | Thermal assessment of Li-ion battery cells and coolant in hybrid electric vehicles system: Application of conjugate condition and response surface methodology |
| title_full | Thermal assessment of Li-ion battery cells and coolant in hybrid electric vehicles system: Application of conjugate condition and response surface methodology |
| title_fullStr | Thermal assessment of Li-ion battery cells and coolant in hybrid electric vehicles system: Application of conjugate condition and response surface methodology |
| title_full_unstemmed | Thermal assessment of Li-ion battery cells and coolant in hybrid electric vehicles system: Application of conjugate condition and response surface methodology |
| title_short | Thermal assessment of Li-ion battery cells and coolant in hybrid electric vehicles system: Application of conjugate condition and response surface methodology |
| title_sort | thermal assessment of li ion battery cells and coolant in hybrid electric vehicles system application of conjugate condition and response surface methodology |
| topic | Li-ion battery Heat generation Thermal behavior Reynolds number Axial temperature Maximum temperature |
| url | http://www.sciencedirect.com/science/article/pii/S2214157X25000267 |
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