A High-Performance Vortex Adjustment Design for an Air-Cooling Battery Thermal Management System in Electric Vehicles
Source abstract
Abstract
To boost the performance of the air-cooling battery thermal management system, this study designed a novel vortex adjustment structure for the conventional air-cooling battery pack used in electric vehicles. T-shape vortex generating columns were proposed to be added between the battery cells in the battery pack. This structure could effectively change the aerodynamic patterns and thermodynamic properties of the battery pack, including turbulent eddy frequency, turbulent kinetic energy, and average Reynolds number, etc. The modified aerodynamic patterns and thermodynamic properties increased the heat transfer coefficient with little increase in energy consumption and almost no additional cost. Different designs were also evaluated and optimized under different working conditions. The results showed that the cooling performance of the Design 1 improved at both low and high air flow rates. At a small flow rate of 11.88 L/s, the Tmax and ΔT of Design 1 are 0.85 K and 0.49 K lower than the conventional design with an increase in pressure drop of 0.78 Pa. At a relative high flow rate of 47.52 L/s, the Tmax and ΔT of the Design 1 are also 0.46 K and 0.13 K lower than the conventional design with a slight increase in pressure drop of 17.88 Pa. These results demonstrated that the proposed vortex generating design can improve the cooling performance of the battery pack, which provides a guideline for the design and optimization of the high-performance air-cooling battery thermal management systems in electric vehicles.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Refrigeration and Air Conditioning Technologies · Aerodynamics and Fluid Dynamics Research · Advanced Battery Technologies Research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Engineering, University of Tasmania, Hobart, TAS 7005, Australia
School of Management, Guizhou University, Guiyang 550025, China
School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, 333 Longteng Road, Songjiang, Shanghai 201620, China
Funding
Australian Research Council · UTAS
References (49)
Show source-provided references
1. Connecting Battery Technologies for Electric Vehicles from Battery Materials to Management10.1016/j.isci.2022.103744 ↗
2. Research on power management and allowed propulsion control in pure electric vehicle10.1016/j.egyr.2021.11.076 ↗
3. Numerical study on the air-cooled thermal management of Lithium-ion battery pack for electrical vehicles10.1016/j.egyr.2021.11.089 ↗
4. Review of polymers in the prevention of thermal runaway in lithium-ion batteries10.1016/j.egyr.2020.03.027 ↗
5. Electric vehicle battery thermal management system with thermoelectric cooling10.1016/j.egyr.2019.06.016 ↗
6. An Up-to-date Review on the Design Improvement and Optimization of the Liquid-Cooling Battery Thermal Management System for Electric Vehicles10.1016/j.applthermaleng.2022.119626 ↗
7. Overview of batteries and battery management for electric vehicles10.1016/j.egyr.2022.03.016 ↗
8. Effects of different coolants and cooling strategies on the cooling performance of the power lithium ion battery system: A review10.1016/j.applthermaleng.2018.06.043 ↗
9. Pulugundla, G., Dubey, P., and Srouji, A. (2019). Time-Accurate CFD Analysis of Liquid Cold Plates for Efficient Thermal Performance of Electric Vehicle Li-ion Battery Modules, SAE. 0148-7191; Technical Paper.10.4271/2019-01-0500 ↗
10. Bakhshi, S., Dubey, P., Srouji, A., and Wu, Z. (2020, January 13–15). Comparison of different liquid cooling configurations for effective thermal management of li-ion pouch cell for automotive applications. Proceedings of the Heat Transfer Summer Conference, Online.10.1115/HT2020-9050 ↗
11. Dubey, P., Pulugundla, G., and Srouji, A. (2021). Direct comparison of immersion and cold-plate based cooling for automotive Li-ion battery modules. Energies, 14.10.3390/en14051259 ↗
12. Buidin, T.I.C., and Mariasiu, F. (2021). Battery thermal management systems: Current status and design approach of cooling technologies. Energies, 14.10.3390/en14164879 ↗
13. Zhao, G., Wang, X., Negnevitsky, M., and Zhang, H. (2022). A design optimization study of an air-cooling battery thermal management system for electric vehicles. Proc. Inst. Mech. Eng. Part E J. Process Mech. Eng., 09544089221116418.10.1177/09544089221116418 ↗
14. A review of air-cooling battery thermal management systems for electric and hybrid electric vehicles10.1016/j.jpowsour.2021.230001 ↗
15. Zhao, G., Wang, X., and Negnevitsky, M. (2021). A Study of Variable Cell Spacings to the Heat Transfer Efficiency of Air-Cooling Battery Thermal Management System. Appl. Sci., 11.10.3390/app112311155 ↗
16. Zhao, G., Wang, X., Negnevitsky, M., Zhang, H., and Li, C. (2022). Performance Improvement of a Novel Trapezoid Air-Cooling Battery Thermal Management System for Electric Vehicles. Sustainability, 14.10.3390/su14094975 ↗
17. Design a J-type air-based battery thermal management system through surrogate-based optimization10.1016/j.apenergy.2019.113426 ↗
18. Experiment and simulation for pouch battery with silica cooling plates and copper mesh based air cooling thermal management system10.1016/j.applthermaleng.2018.10.061 ↗
19. Numerical analysis and surrogate model optimization of air-cooled battery modules using double-layer heat spreading plates10.1016/j.ijheatmasstransfer.2021.121380 ↗
20. Enhancement of air cooling in staggered array of electronic modules by integrating delta winglet vortex generators10.1016/j.icheatmasstransfer.2006.01.002 ↗
21. Numerical analyses on optimizing a heat pipe thermal management system for lithium-ion batteries during fast charging10.1016/j.applthermaleng.2015.04.066 ↗
22. Vortex generators for active thermal management in lithium-ion battery systems10.1016/j.ijheatmasstransfer.2018.04.015 ↗
23. Numerical study of heat transfer enhancement using vortex generator for thermal management of lithium ion battery10.1016/j.ijheatmasstransfer.2018.10.018 ↗
24. Development of hybrid thermal management techniques for battery packs10.1016/j.applthermaleng.2020.116542 ↗
25. Performance assessment of retired EV battery modules for echelon use10.1016/j.energy.2019.116555 ↗
26. Tiedemann, W., and Newman, J. Mathematical modeling of the lead-acid cell. Proceedings of the Symposium on Battery Design and Optimization, Seattle, WA, USA.
27. Three dimensional thermal-, electrical-, and electrochemical-coupled model for cylindrical wound large format lithium-ion batteries10.1016/j.jpowsour.2013.03.007 ↗
28. Pinto, A.M., Oliveira, V.S., and Falcão, D.S.C. (2018). Direct Alcohol Fuel Cells for Portable Applications: Fundamentals, Engineering and Advances, Academic Press.10.1016/B978-0-12-811849-8.00001-2 ↗
29. Experimental and numerical study of PCM thermophysical parameters on lithium-ion battery thermal management10.1016/j.egyr.2019.09.060 ↗
30. Numerical investigation on a unitization-based thermal management for cylindrical lithium-ion batteries10.1016/j.egyr.2022.03.081 ↗
31. Battery thermal models for hybrid vehicle simulations10.1016/S0378-7753(02)00200-8 ↗
32. Thermal behavior study of discharging/charging cylindrical lithium-ion battery module cooled by channeled liquid flow10.1016/j.ijheatmasstransfer.2017.12.083 ↗
33. Investigation on thermal performance of water-cooled Li-ion pouch cell and pack at high discharge rate with U-turn type microchannel cold plate10.1016/j.ijheatmasstransfer.2020.119728 ↗
34. Structural optimization of lithium-ion battery for improving thermal performance based on a liquid cooling system10.1016/j.ijheatmasstransfer.2018.10.074 ↗
35. Numerical analysis of different fin structures in phase change material module for battery thermal management system and its optimization10.1016/j.ijheatmasstransfer.2020.120434 ↗
36. Two-equation eddy-viscosity turbulence models for engineering applications10.2514/3.12149 ↗
37. Simulation of turbulent flow in MATIS-H rod bundle with split-type mixing vanes10.1016/j.nucengdes.2017.12.017 ↗
38. Influence of spatial and temporal distribution of Turbulent Kinetic Energy on heat transfer coefficient in a light duty CI engine operating with Partially Premixed Combustion10.1016/j.applthermaleng.2017.10.006 ↗
39. Estimation of the dissipation rate of turbulent kinetic energy: A review10.1016/j.ces.2020.116133 ↗
40. Ching, D.S., Banko, A.J., Milani, P.M., and Eaton, J.K. (August, January 30). Machine learning modeling for RANS turbulent kinetic energy transport in 3D separated flows. Proceedings of the 11th International Symposium on Turbulence and Shear Flow Phenomena, Southampton, UK.
41. Impinging sweeping jet and convective heat transfer on curved surfaces10.1016/j.ijheatfluidflow.2019.108458 ↗
42. Numerical evaluation of turbulence heat transfer and fluid flow of hybrid nanofluids in a pipe with innovative vortex generator10.1007/s10973-020-10205-z ↗
43. Numerical investigation of turbulent flow and heat transfer of nanofluid inside a wavy microchannel with different wavelengths10.1007/s10973-019-08637-3 ↗
44. Empirical correlations development for heat transfer and friction factor of a solar rectangular air passage with spherical-shaped turbulence promoters10.1007/s10973-019-08551-8 ↗
45. Nusselt number and friction factor correlation of solar air heater having twisted-rib roughness on absorber plate10.1016/j.renene.2018.06.076 ↗
46. A study of heat transfer enhancement in a new solar air heater having circular type turbulators10.1016/j.joei.2015.05.008 ↗
47. Mathematical modeling and experimental study of heat transfer in a low-duty air-cooled heat exchanger10.1016/j.enconman.2018.01.018 ↗
48. Hydrodynamic analysis of an underwater glider wing using ANSYS fluent as an investigation tool10.1016/j.matpr.2021.02.127 ↗
49. Experimental study on the thermal management performance of air cooling for high energy density cylindrical lithium-ion batteries10.1016/j.applthermaleng.2019.03.157 ↗