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INTEGRATED TESTING OF ELECTRIC VEHICLE THERMAL MANAGEMENT AND OPTIMIZATION OF FLOW FIELD UNIFORMITY IN AIR SUPPLY SYSTEM

ABSTRACT
To meet the requirements of integrated testing and performance calibration for the early development of electric vehicle thermal management, this paper conducted research on the configuration scheme design of the electric vehicle thermal management integrated testing platform and simulation and optimization of the air supply system flow field. Firstly, a requirement analysis of the testing environment and the overall design of the testing platform was performed. Secondly, simulation techniques were applied to optimize the uniformity of the intake air-flow field in the test section, which was then validated through real testing. Finally, a comparative study of the tested system was conducted through CFD simulations in two different environments, the testing platform and the actual vehicle underhood. The results indicate that the intake air-flow field uniformity in the test section falls within ±3%. The intake flow rate errors for the radiator and condenser, compared to those in the actual vehicle, were found to be 0.039% and 2.116%, respectively. These findings confirm that the testing platform offers good consistency with the flow field in real vehicle testing scenarios.
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PAPER SUBMITTED: 2023-09-26
PAPER REVISED: 2023-09-30
PAPER ACCEPTED: 2023-11-08
PUBLISHED ONLINE: 2024-03-10
DOI REFERENCE: https://doi.org/10.2298/TSCI230926045F
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2024, VOLUME 28, ISSUE Issue 3, PAGES [2413 - 2431]
REFERENCES
  1. Jia, M. X., et al., Progress and Perspectives of Integrated Thermal Management Systems in PEM Fuel Cell Vehicles, A review, Renewable and Sustainable Energy Reviews, 3 (2022), 155
  2. Feng, L., The Investigation on Match and Design of Commercial Vehicle Cooling Module, Ph. D. thesis, Zhe Jiang University, Zhejiang, China, 2010, pp. 45-56
  3. Zhao, Y. B., Study on Thermodynamic Model of New Energy Vehicle Thermal Management System Testbed, Science and Technology Informaiton, 19 (2021), 33, pp. 58-61
  4. Wang, W. M., et al., Research on Development Technologies of Thermal Management System with Heat Pump for Battery Electric Vehicles, Chinese Journal of Automotive Engineering, 11 (2021), 6, pp. 434-441
  5. Xue, S., Development and Research of Test Platform for Electric Vehicle Thermal Systems Cooperative Management, Ph. D. thesis, Zhe Jiang University, Zhejiang, China, 2012, pp. 37-44
  6. Ma, J., et al., Experimental Study on the Performance of Vehicle Integrated Thermal Management System for Pure Electric Vehicles, Energy Conversion and Management, 1 (2022), 2
  7. Li, W. B., et al.,Coupled Thermal Electrochemical Model of 3-D Lithiumion Battery, Chinese Journal of Power Sources, 40 (2016), 7, pp. 1362-1366
  8. Fu, Y., Research and Optimization on Thermal Management of Engine Compartment of an Agricultural Machinery, Ji Lin University, Jilin, China, 2021, pp. 34-42
  9. Geng, Y. L., Research on Heat Dissipation of Commercial Vehicle Engine Compartment Based on 1-D/3-D co-Simulation, Ji Lin University, Jilin, China, 2021, pp. 59-61
  10. Ye, L., et al., Establishment and Analysis of a Simulation Model for an Electric Vehicle's Thermal Load (in Chinese), The Journal of New Industrialization, 9 (2019), 5, pp. 70-79
  11. Liang, S. C., Study on Effect of Temperatureon Resistance of Li-ion Battery, Guangzhou Chemical Industry, 46 (2018), 15, pp. 66-67
  12. Liu, X. T., et al., State-of-Power Estimation for Li-ion Battery Considering the Effect of Temperature, Transactions of China Electro Technical Society, 31 (2016), 13, 156
  13. Tete, P. R., et al., Developments in Battery Thermal Management Systems for Electric Vehicles: A Technical Review, Journal of Energy Storage, 3 (2021), 35
  14. Cao, S. Y., et al., Reproduction of Wind Velocity History in a Multiple Fan Wind Tunnel, Wind Eng. Ind.Aerodyn, 90 (2002), 12-15, pp. 1719-1729
  15. Shao, P. L., et al., Active Simulation of Transient Wind Field in a Multiple-Fan Wind Tunnel via Deep Reinforcement Learning, Wind Eng. Ind.Aerodyn, 147 (2021), 9
  16. Hu, X., et al.,Low Wind Drag Numerical Research on Fenders and Wheels of Car Model, Applied Mechanics and Materials, 397-400 (2013), Sept., pp. 599-602
  17. Zhang, Y., et al.,Transient Simulation Research on Automobile Aerodynamic Lift Based on LBM Method, Mechanics of Fluids and Gases, 23 (2017), 6
  18. Mason, M. S., et al., Numerical Simulation of Downburst Winds, Wind Eng,Ind. Aerodyn., 34 (2009), 12, pp. 523-539
  19. Teunissen, H. W., Simulation of the Planetary Boundary-Layer in a Multiple-Jet Wind Tunnel, Atmos.Environ, 9 (1975), 2, pp. 145-174
  20. Bienkiewicz, B., et al., Active Modelling of Large-Scale Turbulence, Wind Eng,Ind. Aerodyn., 13 (1983), 1-3, pp. 465-475
  21. Kobayashii, H., et al., Active Generation of Wind Gust in a 2-D Wind Tunnel, Wind Eng. Ind. Aerodyn., 42 (1992), 1-3, pp. 959-970

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence