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Optimization of the electric bus radiator design in terms of noise emissions and energy consumption by computational fluid dynamics

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper presents the numerical optimization of an innovative radiator for use in electric buses in terms of energy consumption and noise emission. Computational fluid dynamics simulations were performed. The flow of the cooling medium was modeled using the RANS method. The two-equation k-ɛ turbulence model, the heat transfer model and the acoustic model were used. According to the research results, the separation of the air stream in individual fan sections contributes to the improvement of energy efficiency and reduces noise emissions. As a result of the simulation, it was found that the best solution in terms of noise emission as well as the occurring flow phenomena caused about a 2 dB decrease of maximum values of the noise level and allowed the equalization of the cooling medium velocity (prevailing velocity range between 4 and 9 m/s). The results of the simulations were verified under laboratory and field conditions, showing a very good convergence of the model with the results of the experiments (i.e. the maximum noise level was estimated at 57 dB, under measurement conditions for the same operating point at 59 dB) while maintaining the baseline energy demand, which indicates a new approach in the method of shaping internal elements of electric vehicle coolers.
Czasopismo
Rocznik
Strony
41--50
Opis fizyczny
Bibliogr. 29 poz., il. kolor., fot., rys., wykr.
Twórcy
autor
  • Mechanical Faculty, Wroclaw University of Science and Technology
  • Mechanical Faculty, Wroclaw University of Science and Technology
  • OE INDUSTRY, Poland
  • Mechanical Faculty, Wroclaw University of Science Technology
Bibliografia
  • [1] AKINLABI, H.A.A., SOLYALI, D. Configuration, design, and optimization of air-cooled battery thermal management system for electric vehicles: A review. Renewable and Sustainable Energy Reviews. 2020, 125, 109815. https://doi.org/10.1016/j.rser.2020.109815
  • [2] BAN. L., DUB. W., JIN. T. et al. A roughness parameter considering joint material properties and peak shear strength model for rock joints. International Journal of Mining Science and Technology. 2021, 31, 413-420. https://doi.org/10.1016/j.ijmst.2021.03.007
  • [3] BEHIA, H., KARIMIA, D., BEHIC, M. et al. A new concept of thermal management system in Li-ion battery using air cooling and heat pipe for electric vehicles. Applied Thermal Engineering. 2020, 174, 115280. https://doi.org/10.1016/j.applthermaleng.2020.115280
  • [4] BENABDELAZIZ, K., LEBROUHI, B., MAFTAH, A. et al. Novel external cooling solution for electric vehicle battery pack. Energy Reports. 2020, 6, 262-272. https://doi.org/10.1016/j.egyr.2019.10.043
  • [5] BIAŁY, M., PIETRYKOWSKI, K., TULWIN, T. et al. CFD numerical simulation of the indirect cooling system of an internal combustion engine. Combustion Engines. 2017, 170(3), 8-18. https://doi.org/10.19206/CE-2017-302
  • [6] CHEN, Y., ZOU, H., DONG, J. et al. Experimental investigation on the heating performance of a CO2 heat pump system with intermediate cooling for electric vehicles. Applied Thermal Engineering. 2021, 182, 116039. https://doi.org/10.1016/j.applthermaleng.2020.116039
  • [7] DONG, J., WANG, Y., SHIWEI, J. et al. Experimental study of R744 heat pump system for electric vehicle application. Applied Thermal Engineering. 2020, 183(1), 116191. https://doi.org/10.1016/j.applthermaleng.2020.116191
  • [8] HU, J., XU, G., SHIA, Y. et al. A numerical simulation investigation of the influence of rotor wake on sediment particles by computational fluid dynamics coupling discrete element method. Aerospace Science and Technology. 2020, 105, 106046. https://doi.org/10.1016/j.ast.2020.106046
  • [9] ISHIHARA, T., QIAN, G.-W., QI, Y.-H. Numerical study of turbulent flow fields in urban areas using modified k-ε model and large eddy simulation. Journal of Wind Engineering & Industrial Aerodynamics. 2020, 206, 104333. https://doi.org/10.1016/j.jweia.2020.104333
  • [10] JOUVET, G., HUSS, M., BLATTER, H. et al. Numerical simulation of Rhonegletscher from 1874 to 2100. Journal of Computational Physics. 2009, 228, 6426-6439. https://doi.org/10.1016/j.jcp.2009.05.033
  • [11] KIM, J., OH, J., LEE, H. Review on battery thermal management system for electric vehicles. Applied Thermal Engineering. 2019. 149, 192-212. https://doi.org/10.1016/j.applthermaleng.2018.12.020
  • [12] LU, M., ZHANG, X., JI, J. et al. Research progress on power battery cooling technology for electric vehicles. Journal of Energy Storage. 2020, 27, 101155. https://doi.org/10.1016/j.est.2019.101155
  • [13] MIRANDA, M.H.R., SILVA, F.L., LOURENÇO, M.A.M. et al. Electric vehicle powertrain and fuzzy controller optimization using a planar dynamics simulation based on a real-world driving cycle. Energy. 2022, 238, 121979. https://doi.org/10.1016/j.energy.2021.121979
  • [14] QIU, C., SHI, W. Comprehensive modeling for optimized design of a thermoelectric cooler with non-constant cross-section: Theoretical considerations. Applied Thermal Engineering. 2020, 176, 115384. https://doi.org/10.1016/j.applthermaleng.2020.115384
  • [15] SHASHANK, A. Selection of thermal management system for modular battery packs of electric vehicles: A review of existing and emerging technologies. Journal of Power Sources. 2018, 400, 621-640. https://doi.org/10.1016/j.jpowsour.2018.08.020
  • [16] SHEN, M., GAO, G. Structure design and effect analysis on refrigerant cooling enhancement of battery thermal management system for electric vehicles. Journal of Energy Storage. 2020, 32, 101940. https://doi.org/10.1016/j.est.2020.101940
  • [17] SHEN, R., JIAO, Z., PARKER, T. et al. Recent application of computational fluid dynamics (CFD) in process safety and loss prevention: A review. Journal of Loss Prevention in the Process Industries. 2020, 67, 104252. https://doi.org/10.1016/j.jlp.2020.104252
  • [18] SROKA, Z.J., SADLAK, Z. Thermal activation of the combustion chamber of a reciprocating internal combustion engine. Journal of Thermal Science. 2018, 27(5), 449-455. https://doi.org/10.1007/s11630-018-1039-7
  • [19] SUN, D., SHI, X., ZHANG, Y. et al. Spatiotemporal distribution of traffic emission based on wind tunnel experiment and computational fluid dynamics (CFD) simulation. Journal of Cleaner Production. 2021, 282, 124495. https://doi.org/10.1016/j.jclepro.2020.124495
  • [20] SUN, D., ZHENG, Y., DUAN, R. Energy consumption simulation and economic benefit analysis for urban electric commercial-vehicles. Transportation Research Part D: Transport and Environment. 2021, 101, 103083. https://doi.org/10.1016/j.trd.2021.103083
  • [21] UÇAR, S., UÇAR, E., ÖZDEMIR, N. et al. Mathematical analysis and numerical simulation for a smoking model with Atangana-Baleanu derivative. Chaos, Solitons and Fractals. 2019, 118, 300-306. https://doi.org/10.1016/j.chaos.2018.12.003
  • [22] WANG, Y., DONG, J., SHIWEI, J. et al. Experimental Comparison of R744 and R134a heat pump systems for electric vehicle application. International, Journal of Refrigeration. 2020, 121, 10-22. https://doi.org/10.1016/j.ijrefrig.2020.10.026
  • [23] WORSZTYNOWICZ, B. Experimental verification of design calculations of the internal combustion engine cooling system. Combustion Engines. 2019, 179(4), 132-135. https://doi.org/10.19206/CE-2019-421
  • [24] WORSZTYNOWICZ, B. Influence of the method of implementing the forced air flow through the cooling system on the temperature of the coolant in heavy-duty engines. Combustion Engines. 2017, 171(4), 51-55. https://doi.org/10.19206/CE-2017-409
  • [25] WU, J., ZHOU, G., WANG, M. A comprehensive assessment of refrigerants for cabin heating and cooling on electric vehicles. Applied Thermal Engineering. 2020, 174, 115258. https://doi.org/10.1016/j.applthermaleng.2020.115258
  • [26] YUAN, H., SU, H., WANG, L. et al. Numerical analysis on airflow and thermal field in quiet power vehicle compartment. Procedia Engineering. 2017, 174, 571-578. https://doi.org/10.1016/j.proeng.2017.01.189
  • [27] YUAN, R., FLETCHER, T., AHMEDOV, A. et al. Modelling and co-simulation of hybrid vehicles: a thermal management perspective. Applied Thermal Engineering. 2020, 180, 115883. https://doi.org/10.1016/j.applthermaleng.2020.115883
  • [28] ZAWIŚLAK, M. Method of designing and modernising machines and flow systems using Computational Fluid Mechanics. Poznan Publishing House, Poznan 2017.
  • [29] ZHANG, C., UDDIN, M., ROBINSON, A.C. et al. Full vehicle CFD investigations on the influence of front-end configuration on radiator performance and cooling drag. Applied Thermal Engineering. 2018, 130, 1328-1340. https://doi.org/10.1016/j.applthermaleng.2017.11.086
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-75e89e81-1940-4e31-808d-319bdfdf4f47
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