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Numerical Optimization of Battery Heat Management of Electric Vehicles | ||
| Journal of Applied and Computational Mechanics | ||
| دوره 9، شماره 4، دی 2023، صفحه 1076-1092 اصل مقاله (2.13 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22055/jacm.2023.43703.4119 | ||
| نویسندگان | ||
| Szabolcs Kocsis Szürke1؛ Gábor Kovács1؛ Mykola Sysyn2؛ Jianxing Liu3؛ Szabolcs Fischer* 1 | ||
| 1Central Campus Győr, Széchenyi István University, 9026 Győr, Hungary | ||
| 2Department of Planning and Design of Railway Infrastructure, Institute of Railway Systems and Public Transport, Technical University of Dresden, 01069 Dresden, Germany | ||
| 3School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China | ||
| چکیده | ||
| Lithium-ion battery technology in the modern automotive industry utilizes highly temperature-sensitive batteries. Here, air cooling strategies will be the most applicable for the chosen example based on strategies for temperature control. Simulations have been utilized to evaluate the different thermal management strategies. A battery model was developed using the solutions offered by Computational Fluid Dynamics (CFD) simulation technology. It utilizes the heat produced by the discharge of the battery cells. Due to the simulation's limited computational capacity, the energy transfer model was implemented with a simplified but sufficiently complex physical mesh. Ten actual measurements were conducted in the laboratory to investigate the heating of the cell during the charging and discharging of 18650-type batteries. The results were applied to validate the simulation model. The simulation outcomes and thermal camera readings were compared. The cell-level numerical model was then extended to examine the temperature variation at the system level. The primary design objective is to achieve the highest energy density possible, which necessitates that the cells be constructed as closely as possible; however, increasing the distance between the cells can provide superior cooling from a thermal management perspective. The effect of varying the distance between individual cells on the system's heating was analyzed. Greater distance resulted in a more efficient heat transfer. It was also discovered that, in some instances, a small distance between cells produces inferior results compared to when constructed adjacently. A critical distance range has been established based on these simulations, which facilitates the placement of the cells. | ||
| کلیدواژهها | ||
| Lithium-ion battery؛ thermal management؛ CFD simulation؛ battery test؛ thermal modeling | ||
| مراجع | ||
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[1] Shamshirband, M., Salehi, J., Gazijahani, F.S., Decentralized trading of plug-in electric vehicle aggregation agents for optimal energy management of smart renewable penetrated microgrids with the aim of CO2 emission reduction, Journal of Cleaner Production, 200, 2018, 622-640.
[2] Fischer, S., Kocsis Szürke, S., Detection Process of Energy Loss in Electric Railway Vehicles, Facta Universitatis, Series: Mechanical Engineering, 21(1), 2023, 81-99.
[3] Fischer, S., Traction Energy Consumption of Electric Locomotives and Electric Multiple Units at Speed Restrictions, Acta Technica Jaurinensis, 8(3), 2015, 240-256.
[4] Kocsis Szürke, S., Perness, N., Földesi, P., Kurhan, D., Sysyn, M., Fischer, S., A Risk Assessment Technique for Energy-Efficient Drones to Support Pilots and Ensure Safe Flying, Infrastructures, 8(4), 2023, 67.
[5] Kocsis Szürke, S., Sütheö, G., Apagyi, A., Lakatos, I., Fischer, S., Cell Fault Identification and Localization Procedure for Lithium-Ion Battery System of Electric Vehicles Based on Real Measurement Data, Algorithms, 15(12), 2022, 467.
[6] Szalai, S., Kocsis Szürke, S., Harangozó, D., Fischer, S., Investigation of deformations of a lithium polymer cell using the Digital Image Correlation Method (DICM), Reports in Mechanical Engineering, 3(1), 2022, 116-134.
[7] Kocsis Szürke, S., Dineva, A., Szalai, S., Lakatos, I., Determination of critical deformation regions of a lithium polymer battery by dic measurement and wowa filter, Acta Polytechnica Hungarica, 19(2), 2022, 113-134.
[8] Yang, Y., Chen, S., Chen, T., Huang, L., State of Health Assessment of Lithium-ion Batteries Based on Deep Gaussian Process Regression Considering Heterogeneous Features, Journal of Energy Storage, 61, 2023, 106797.
[9] Deng, D., Li-ion batteries: Basics, progress, and challenges, Energy Science and Engineering, 3(5), 2015, 385-418.
[10] Grandjacques, M., Kuntz, P., Azaïs, P., Genies, S., Raccurt, O., Thermal Runaway Modelling of Li-Ion Cells at Various States of Ageing with a Semi-Empirical Model Based on a Kinetic Equation, Batteries, 7(4), 2021, 68.
[11] Ling, J., Zhu, Z., Battery Thermal Management Systems of Electric Vehicles, M.Sc. Thesis, Department of Applied Mechanics, Division of Vehicle Engineering & Autonomous Systems, Road Vehicle Aerodynamics and Thermal Management, Chalmers University of Technology, Gothenburg, 2014.
[12] Buidin, T.I.C., Mariasiu, F., Battery Thermal Management Systems, Current Status and Design Approach of Cooling Technologies, Energies, 4, 2021, 4879.
[13] Olabi, A.G., Maghrabie, H.M., Adhari, O.H.K., Sayed, E.T., Yousef, B.A.A., Kamil, T.S.M., Abdelkareem, M.A., Battery thermal management systems: Recent progress and challenges, International Journal of Thermofluids, 15, 2022, 100171.
[14] Kannan, C., Vignesh, R., Karthick C., Ashok, B., Critical review towards thermal management systems of lithium-ion batteries in electric vehicle with its electronic control unit and assessment tools, Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 235(7), 2021, 1783-1807.
[15] Nelson, P., Dees, D., Amine, K., Henriksen, G., Modeling thermal management of lithium-ion PNGV batteries, Journal of Power Sources, 110(2), 2002, 349-356.
[16] Pelegov, D.V., Chanaron, J.J., Electric Car Market Analysis Using Open Data: Sales, Volatility Assessment, and Forecasting, Sustainability, 15, 2023, 399.
[17] Sharma, A., Zanotti, P., Musunur, L.P., Enabling the Electric Future of Mobility: Robotic Automation for Electric Vehicle Battery Assembly, IEEE Access, 7, 2019, 170961-170991.
[18] Zhang, J., Li, X., He, F., He, J., Zhong, Z., Zhang, G., Experimental Investigation on Thermal Management of Electric Vehicle Battery Module with Paraffin/Expanded Graphite Composite Phase Change Material, International Journal of Photoenergy, 2017, 2017, 2929473.
[19] Sääski, J., Riitahuhta, A., Multidomain simulations introduced in product development process, International Conference on Engineering Design, ICED'07, Paris, France, 227-228, 2007.
[20] CFD Modeling of Battery with Transport Equations, https://cfdflowengineering.com/cfd-modeling-of-battery-with-transport-equations (Date of access: May 10, 2023)
[21] Moukalled, F., Mangani, L., Darwish, M., The finite volume method in computational fluid dynamics: an advanced introduction with OpenFOAM® and Matlab, Springer, 2016.
[22] Zou, Y., Zhao, X., Chen, Q., Comparison of STAR-CCM+ and ANSYS Fluent for Simulating Indoor Airflows, Building Simulation, 11(1), 2018, 165-174.
[23] Welahettige, P., Vaagsaether, K., Comparison of OpenFOAM and ANSYS Fluent, Department of Process, Energy and Environmental Technology, Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016, 142(148), 2016.
[24] ANSYS, Inc. Ansys Fluent Theory Guide 2021 R2, July 2021.
[25] ANSYS, Inc. ANSYS Fluent User's Guide, 15, November 2013.
[26] Wang, Z., Ma, J., Zhang, L., Finite Element Thermal Model and Simulation for a Cylindrical Li-Ion Battery, IEEE Access, 5, 2017, 15372-15379.
[27] Li, A., Yuen, A.C.Y., Wang, W., Chen, T.B.Y., Lai, C.S., Yang, W., Wu, W., Chan, Q.N., Kook, S., Yeoh, G.H., Integration of Computational Fluid Dynamics and Artificial Neural Network for Optimization Design of Battery Thermal Management System, Batteries, 8(7), 2022, 69.
[28] Lloyd, R., Akrami, M.A., Critical Analysis of Helical and Linear Channel Liquid Cooling Designs for Lithium-Ion Battery Packs, Batteries, 8(11), 2022, 236.
[29] Thermal Resistance – Thermal Resistivity, https://www.nuclear-power.com/nuclear-engineering/heat-transfer/thermal-conduction/thermal-resistance-thermal-resistivity/2022. | ||
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آمار تعداد مشاهده مقاله: 381 تعداد دریافت فایل اصل مقاله: 581 |
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