Numerical Optimization of Battery Heat Management of Electric Vehicles
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 ther...
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| Format: | Article |
| Language: | English |
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Shahid Chamran University of Ahvaz
2023-10-01
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| Series: | Journal of Applied and Computational Mechanics |
| Subjects: | |
| Online Access: | https://jacm.scu.ac.ir/article_18304_33b9466dc428827069bbc7f3ad0c5bcc.pdf |
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| author | Szabolcs Kocsis Szürke Gábor Kovács Mykola Sysyn Jianxing Liu Szabolcs Fischer |
| author_facet | Szabolcs Kocsis Szürke Gábor Kovács Mykola Sysyn Jianxing Liu Szabolcs Fischer |
| author_sort | Szabolcs Kocsis Szürke |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-12T17:33:54Z |
| format | Article |
| id | doaj.art-a6e095e764a64088a89c4ee7f638e70d |
| institution | Directory Open Access Journal |
| issn | 2383-4536 |
| language | English |
| last_indexed | 2024-03-12T17:33:54Z |
| publishDate | 2023-10-01 |
| publisher | Shahid Chamran University of Ahvaz |
| record_format | Article |
| series | Journal of Applied and Computational Mechanics |
| spelling | doaj.art-a6e095e764a64088a89c4ee7f638e70d2023-08-04T15:44:39ZengShahid Chamran University of AhvazJournal of Applied and Computational Mechanics2383-45362023-10-01941076109210.22055/jacm.2023.43703.411918304Numerical Optimization of Battery Heat Management of Electric VehiclesSzabolcs Kocsis Szürke0Gábor Kovács1Mykola Sysyn2Jianxing Liu3Szabolcs Fischer4Central Campus Győr, Széchenyi István University, 9026 Győr, HungaryCentral Campus Győr, Széchenyi István University, 9026 Győr, HungaryDepartment of Planning and Design of Railway Infrastructure, Institute of Railway Systems and Public Transport, Technical University of Dresden, 01069 Dresden, GermanySchool of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, ChinaCentral Campus Győr, Széchenyi István University, 9026 Győr, HungaryLithium-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.https://jacm.scu.ac.ir/article_18304_33b9466dc428827069bbc7f3ad0c5bcc.pdflithium-ion batterythermal managementcfd simulationbattery testthermal modeling |
| spellingShingle | Szabolcs Kocsis Szürke Gábor Kovács Mykola Sysyn Jianxing Liu Szabolcs Fischer Numerical Optimization of Battery Heat Management of Electric Vehicles Journal of Applied and Computational Mechanics lithium-ion battery thermal management cfd simulation battery test thermal modeling |
| title | Numerical Optimization of Battery Heat Management of Electric Vehicles |
| title_full | Numerical Optimization of Battery Heat Management of Electric Vehicles |
| title_fullStr | Numerical Optimization of Battery Heat Management of Electric Vehicles |
| title_full_unstemmed | Numerical Optimization of Battery Heat Management of Electric Vehicles |
| title_short | Numerical Optimization of Battery Heat Management of Electric Vehicles |
| title_sort | numerical optimization of battery heat management of electric vehicles |
| topic | lithium-ion battery thermal management cfd simulation battery test thermal modeling |
| url | https://jacm.scu.ac.ir/article_18304_33b9466dc428827069bbc7f3ad0c5bcc.pdf |
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