Optimization of the cooling system of electric vehicle batteries

The most important components of electrical vehicles are the battery and the related cooling system. These subsystems play a major role in determining the overall electric vehicle performances. In this study, a novel cooling system with fluid in the battery cell is proposed, by which the energy stor...

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Autores:
Iswanto, A. Heri
Harsono, Iwan
Ahmed, Dr. Alim Al Ayub
Sergeevna, Sergushina Elena
Krasnikov, Stepan
Zalilov, Rustem
Grimaldo Guerrero, John William
Latipova, Liliya
Hachim, Safa Kareem
Tipo de recurso:
Article of journal
Fecha de publicación:
2022
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/9117
Acceso en línea:
https://hdl.handle.net/11323/9117
https://repositorio.cuc.edu.co/
Palabra clave:
Thermal flow
Batteries
Geometry
Cavity
Cooling system
Rights
openAccess
License
Atribución 4.0 Internacional (CC BY 4.0)
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network_acronym_str RCUC2
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repository_id_str
dc.title.eng.fl_str_mv Optimization of the cooling system of electric vehicle batteries
title Optimization of the cooling system of electric vehicle batteries
spellingShingle Optimization of the cooling system of electric vehicle batteries
Thermal flow
Batteries
Geometry
Cavity
Cooling system
title_short Optimization of the cooling system of electric vehicle batteries
title_full Optimization of the cooling system of electric vehicle batteries
title_fullStr Optimization of the cooling system of electric vehicle batteries
title_full_unstemmed Optimization of the cooling system of electric vehicle batteries
title_sort Optimization of the cooling system of electric vehicle batteries
dc.creator.fl_str_mv Iswanto, A. Heri
Harsono, Iwan
Ahmed, Dr. Alim Al Ayub
Sergeevna, Sergushina Elena
Krasnikov, Stepan
Zalilov, Rustem
Grimaldo Guerrero, John William
Latipova, Liliya
Hachim, Safa Kareem
dc.contributor.author.spa.fl_str_mv Iswanto, A. Heri
Harsono, Iwan
Ahmed, Dr. Alim Al Ayub
Sergeevna, Sergushina Elena
Krasnikov, Stepan
Zalilov, Rustem
Grimaldo Guerrero, John William
Latipova, Liliya
Hachim, Safa Kareem
dc.subject.proposal.eng.fl_str_mv Thermal flow
Batteries
Geometry
Cavity
Cooling system
topic Thermal flow
Batteries
Geometry
Cavity
Cooling system
description The most important components of electrical vehicles are the battery and the related cooling system. These subsystems play a major role in determining the overall electric vehicle performances. In this study, a novel cooling system with fluid in the battery cell is proposed, by which the energy storage system can be optimized through control of the temperature of the batteries. A sensitivity analysis is conducted considering the maximum temperature, the heat rate, the coolant temperature, and the geometry of the cavities. The numerical simulations show that the parameters for the trapezoidal compartment have an impact on the thermal performance of battery. An optimal geometry is proposed accordingly. It is concluded that for high values of Reynolds number for which the flow becomes turbulent, a decrease in the battery temperature can be obtained thereby avoiding thermal stresses.
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2022-04-05T12:50:23Z
dc.date.available.none.fl_str_mv 2022-04-05T12:50:23Z
dc.date.issued.none.fl_str_mv 2022
dc.type.spa.fl_str_mv Artículo de revista
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dc.identifier.uri.spa.fl_str_mv https://hdl.handle.net/11323/9117
dc.identifier.doi.spa.fl_str_mv 10.32604/fdmp.2022.019851
dc.identifier.eissn.spa.fl_str_mv 1555-2578
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
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identifier_str_mv 1555-256X
10.32604/fdmp.2022.019851
1555-2578
Corporación Universidad de la Costa
REDICUC - Repositorio CUC
url https://hdl.handle.net/11323/9117
https://repositorio.cuc.edu.co/
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartofjournal.spa.fl_str_mv Fluid Dynamics and Materials Processing
dc.relation.references.spa.fl_str_mv 1. Hu, X., Wang, Y., Li, S., Sun, Q., Bai, S. et al. (2021). Assessment of the application of subcooled fluid boiling to diesel engines for heat transfer enhancement. Fluid Dynamics & Materials Processing, 17(6), 1049–1066. DOI 10.32604/fdmp.2021.016763.
2. Golmohammadi, A. M., Honarvar, M., Hosseini-Nasab, H., Tavakkoli-Moghaddam, R. (2020). A bi-objective optimization model for a dynamic cell formation integrated with machine and cell layouts in a fuzzy environment. Fuzzy Information and Engineering, 12(17), 1–19. DOI 10.1080/16168658.2020.1747162.
3. Golmohammadi, A. M., Tavakkoli-Moghaddam, R., Jolai, F., Golmohammadi, A. H. (2014). Concurrent cell formation and layout design using a genetic algorithm under dynamic conditions. UCT Journal of Research in Science, Engineering and Technology, 2(1), 08–15. DOI 10.24200/jrset.vol2iss01pp5-9.
4. Rasay, H., Naderkhani, F., Golmohammadi, A. M. (2020). Designing variable sampling plans based on lifetime performance index under failure censoring reliability tests. Quality Engineering, 32(3), 354–370. DOI 10.1080/08982112.2020.1754426.
5. Golmohammadi, A., Bani-Asadi, H., Zanjani, H., Tikani, H. (2016). A genetic algorithm for preemptive scheduling of a single machine. International Journal of Industrial Engineering Computations, 7(4), 607–614. DOI 10.5267/j.ijiec.2016.3.004.
6. Lv, Y., Ge, Q., Wei, Z., Yang, S. (2021). A research on the flow characteristics of a splitter-based water cooling system for computer boards. Fluid Dynamics & Materials Processing, 17(4), 833–844. DOI 10.32604/fdmp.2021.015082.
7. Deng, D., Wei, W., Yong, T., Shao, H., Yue, H. (2015). Experimental and numerical study of thermal enhancement in reentrant copper microchannels. International Journal of Heat & Mass Transfer, 91(5), 656–670. DOI 10.1016/j.ijheatmasstransfer.2015.08.025.
8. Ahmadizadeh, P., Mashadi, B., Lodaya, D. (2017). Energy management of a dual-mode power-split powertrain based on the Pontryagin’s minimum principle. IET Intelligent Transport Systems, 11(9), 561–571. DOI 10.1049/iet-its.2016.0281.
9. Wu, W., Chen, L., Xie, Z., Sun, F. (2015). Improvement of constructal tree-like network for volume-point heat conduction with variable cross-section conducting path and without the premise of optimal last-order construct. International Communications in Heat & Mass Transfer, 67, 97–103. DOI 10.1016/j.icheatmasstransfer.2015.07.001.
10. Nourdanesh, N., Ranjbar, F. (2021). Introduction of a novel electric field-based plate heat sink for heat transfer enhancement of thermal systems. International Journal of Numerical Methods for Heat & Fluid Flow, 61. DOI 10.1108/HFF-08-2021-0531.
11. Belhocine, A., Abdullah, O. I. (2020). A thermomechanical model for the analysis of disc brake using the finite element method in frictional contact. Journal of Thermal Stresses, 43(3), 305–320. DOI 10.1080/01495739.2019.1683482.
12. Belhocine, A., Omar, W. Z. (2021). Analytical solution and numerical simulation of the generalized Levèque equation to predict the thermal boundary layer. Mathematics and Computers in Simulation, 1(180), 43–60. DOI 10.1016/j.matcom.2020.08.007.
13. Karfopoulos, E. L., Hatziargyriou, N. D. (2016). Distributed coordination of electric vehicles providing V2G services. IEEE Transactions on Power Systems, 31(1), 329–338. DOI 10.1109/TPWRS.2015.2395723.
14. Lu, Z., Yu, X., Wei, L., Qiu, Y., Zhang, L. et al. (2018). Parametric study of forced air cooling strategy for lithiumion battery pack with staggered arrangement. Applied Thermal Engineering, 136(2), 28–40. DOI 10.1016/j.applthermaleng.2018.02.080.
15. Wang, S., Li, K., Tian, Y., Wang, J., Wu, Y. et al. (2019). Improved thermal performance of a large laminated lithium-ion power battery by reciprocating air flow. Applied Thermal Engineering, 1(152), 445–454. DOI 10.1016/j.applthermaleng.2019.02.061.
16. He, J., Yang, X., Zhang, G. (2019). A phase change material with enhanced thermal conductivity and secondary heat dissipation capability by introducing a binary thermal conductive skeleton for battery thermal management. Applied Thermal Engineering, 148(9), 984–991. DOI 10.1016/j.applthermaleng.2018.11.100.
17. Lu, Z., Yu, X., Wei, L., Cao, F., Jin, L. (2019). A comprehensive experimental study on temperature-dependent performance of lithium-ion battery. Applied Thermal Engineering, 158, 113800. DOI 10.1016/j.applthermaleng.2019.113800.
18. Choudhari, V. G., Dhoble, A. S., Sathe, T. M. (2020). A review on effect of heat generation and various thermal management systems for lithium ion battery used for electric vehicle. Journal of Energy Storage, 1(32), 101729.DOI 10.1016/j.est.2020.101729.
19. Enthaler, A., Weustenfeld, T. A., Gauterin, F., Koehler, J. (2014). Thermal management consumption and its effect on remaining range estimation of electric vehicles. IEEE 3rd International Conference on Connected Vehicles & Expo (ICCVE), Vienna, Austria.
20. Mahmoodi-k, M., Montazeri-Gh, M., Madanipour, V. (2021). Simultaneous multi-objective optimization of a PHEV power management system and component sizing in real world traffic condition. Energy, 233(4), 121111. DOI 10.1016/j.energy.2021.121111.
21. Wang, Y., Ma, C. (2022). CFD-based numerical analysis of the thermal characteristics of an electric vehicle power battery. Fluid Dynamics & Materials Processing, 18(1), 159–171. DOI 10.32604/fdmp.2022.017743.
22. Montazeri-Gh, M., Mahmoodi-K, M. (2016). Optimized predictive energy management of plug-in hybrid electric vehicle based on traffic condition. Journal of Cleaner Production, 100(139), 935–948. DOI 10.1016/j. jclepro.2016.07.203.
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© 1997-2020 TSP (Henderson, USA) unless otherwise stated
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https://creativecommons.org/licenses/by/4.0/
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spelling Iswanto, A. HeriHarsono, IwanAhmed, Dr. Alim Al AyubSergeevna, Sergushina ElenaKrasnikov, StepanZalilov, RustemGrimaldo Guerrero, John WilliamLatipova, LiliyaHachim, Safa Kareem2022-04-05T12:50:23Z2022-04-05T12:50:23Z20221555-256Xhttps://hdl.handle.net/11323/911710.32604/fdmp.2022.0198511555-2578Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/The most important components of electrical vehicles are the battery and the related cooling system. These subsystems play a major role in determining the overall electric vehicle performances. In this study, a novel cooling system with fluid in the battery cell is proposed, by which the energy storage system can be optimized through control of the temperature of the batteries. A sensitivity analysis is conducted considering the maximum temperature, the heat rate, the coolant temperature, and the geometry of the cavities. The numerical simulations show that the parameters for the trapezoidal compartment have an impact on the thermal performance of battery. An optimal geometry is proposed accordingly. It is concluded that for high values of Reynolds number for which the flow becomes turbulent, a decrease in the battery temperature can be obtained thereby avoiding thermal stresses.16 páginasapplication/pdfengTech Science PressUnited StatesAtribución 4.0 Internacional (CC BY 4.0)© 1997-2020 TSP (Henderson, USA) unless otherwise statedhttps://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Optimization of the cooling system of electric vehicle batteriesArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersionhttps://www.techscience.com/fdmp/v18n3/46829Fluid Dynamics and Materials Processing1. Hu, X., Wang, Y., Li, S., Sun, Q., Bai, S. et al. (2021). Assessment of the application of subcooled fluid boiling to diesel engines for heat transfer enhancement. Fluid Dynamics & Materials Processing, 17(6), 1049–1066. DOI 10.32604/fdmp.2021.016763.2. Golmohammadi, A. M., Honarvar, M., Hosseini-Nasab, H., Tavakkoli-Moghaddam, R. (2020). A bi-objective optimization model for a dynamic cell formation integrated with machine and cell layouts in a fuzzy environment. Fuzzy Information and Engineering, 12(17), 1–19. DOI 10.1080/16168658.2020.1747162.3. Golmohammadi, A. M., Tavakkoli-Moghaddam, R., Jolai, F., Golmohammadi, A. H. (2014). Concurrent cell formation and layout design using a genetic algorithm under dynamic conditions. UCT Journal of Research in Science, Engineering and Technology, 2(1), 08–15. DOI 10.24200/jrset.vol2iss01pp5-9.4. Rasay, H., Naderkhani, F., Golmohammadi, A. M. (2020). Designing variable sampling plans based on lifetime performance index under failure censoring reliability tests. Quality Engineering, 32(3), 354–370. DOI 10.1080/08982112.2020.1754426.5. Golmohammadi, A., Bani-Asadi, H., Zanjani, H., Tikani, H. (2016). A genetic algorithm for preemptive scheduling of a single machine. International Journal of Industrial Engineering Computations, 7(4), 607–614. DOI 10.5267/j.ijiec.2016.3.004.6. Lv, Y., Ge, Q., Wei, Z., Yang, S. (2021). A research on the flow characteristics of a splitter-based water cooling system for computer boards. Fluid Dynamics & Materials Processing, 17(4), 833–844. DOI 10.32604/fdmp.2021.015082.7. Deng, D., Wei, W., Yong, T., Shao, H., Yue, H. (2015). Experimental and numerical study of thermal enhancement in reentrant copper microchannels. International Journal of Heat & Mass Transfer, 91(5), 656–670. DOI 10.1016/j.ijheatmasstransfer.2015.08.025.8. Ahmadizadeh, P., Mashadi, B., Lodaya, D. (2017). Energy management of a dual-mode power-split powertrain based on the Pontryagin’s minimum principle. IET Intelligent Transport Systems, 11(9), 561–571. DOI 10.1049/iet-its.2016.0281.9. Wu, W., Chen, L., Xie, Z., Sun, F. (2015). Improvement of constructal tree-like network for volume-point heat conduction with variable cross-section conducting path and without the premise of optimal last-order construct. International Communications in Heat & Mass Transfer, 67, 97–103. DOI 10.1016/j.icheatmasstransfer.2015.07.001.10. Nourdanesh, N., Ranjbar, F. (2021). Introduction of a novel electric field-based plate heat sink for heat transfer enhancement of thermal systems. International Journal of Numerical Methods for Heat & Fluid Flow, 61. DOI 10.1108/HFF-08-2021-0531.11. Belhocine, A., Abdullah, O. I. (2020). A thermomechanical model for the analysis of disc brake using the finite element method in frictional contact. Journal of Thermal Stresses, 43(3), 305–320. DOI 10.1080/01495739.2019.1683482.12. Belhocine, A., Omar, W. Z. (2021). Analytical solution and numerical simulation of the generalized Levèque equation to predict the thermal boundary layer. Mathematics and Computers in Simulation, 1(180), 43–60. DOI 10.1016/j.matcom.2020.08.007.13. Karfopoulos, E. L., Hatziargyriou, N. D. (2016). Distributed coordination of electric vehicles providing V2G services. IEEE Transactions on Power Systems, 31(1), 329–338. DOI 10.1109/TPWRS.2015.2395723.14. Lu, Z., Yu, X., Wei, L., Qiu, Y., Zhang, L. et al. (2018). Parametric study of forced air cooling strategy for lithiumion battery pack with staggered arrangement. Applied Thermal Engineering, 136(2), 28–40. DOI 10.1016/j.applthermaleng.2018.02.080.15. Wang, S., Li, K., Tian, Y., Wang, J., Wu, Y. et al. (2019). Improved thermal performance of a large laminated lithium-ion power battery by reciprocating air flow. Applied Thermal Engineering, 1(152), 445–454. DOI 10.1016/j.applthermaleng.2019.02.061.16. He, J., Yang, X., Zhang, G. (2019). A phase change material with enhanced thermal conductivity and secondary heat dissipation capability by introducing a binary thermal conductive skeleton for battery thermal management. Applied Thermal Engineering, 148(9), 984–991. DOI 10.1016/j.applthermaleng.2018.11.100.17. Lu, Z., Yu, X., Wei, L., Cao, F., Jin, L. (2019). A comprehensive experimental study on temperature-dependent performance of lithium-ion battery. Applied Thermal Engineering, 158, 113800. DOI 10.1016/j.applthermaleng.2019.113800.18. Choudhari, V. G., Dhoble, A. S., Sathe, T. M. (2020). A review on effect of heat generation and various thermal management systems for lithium ion battery used for electric vehicle. Journal of Energy Storage, 1(32), 101729.DOI 10.1016/j.est.2020.101729.19. Enthaler, A., Weustenfeld, T. A., Gauterin, F., Koehler, J. (2014). Thermal management consumption and its effect on remaining range estimation of electric vehicles. IEEE 3rd International Conference on Connected Vehicles & Expo (ICCVE), Vienna, Austria.20. Mahmoodi-k, M., Montazeri-Gh, M., Madanipour, V. (2021). Simultaneous multi-objective optimization of a PHEV power management system and component sizing in real world traffic condition. Energy, 233(4), 121111. DOI 10.1016/j.energy.2021.121111.21. Wang, Y., Ma, C. (2022). CFD-based numerical analysis of the thermal characteristics of an electric vehicle power battery. Fluid Dynamics & Materials Processing, 18(1), 159–171. DOI 10.32604/fdmp.2022.017743.22. Montazeri-Gh, M., Mahmoodi-K, M. (2016). Optimized predictive energy management of plug-in hybrid electric vehicle based on traffic condition. Journal of Cleaner Production, 100(139), 935–948. DOI 10.1016/j. jclepro.2016.07.203.850835318Thermal flowBatteriesGeometryCavityCooling systemPublicationORIGINALOptimization of the cooling system of electric vehicle batteries.pdfOptimization of the cooling system of electric vehicle batteries.pdfapplication/pdf2238727https://repositorio.cuc.edu.co/bitstreams/040f1a58-af0d-4963-9989-bc26461b6c38/download0526fba9558a2c62fdba40b4141f1f74MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-83196https://repositorio.cuc.edu.co/bitstreams/04c2980a-bd47-4f46-8382-daf8406a1396/downloade30e9215131d99561d40d6b0abbe9badMD52TEXTOptimization of the cooling system of electric vehicle batteries.pdf.txtOptimization of the cooling system of electric vehicle batteries.pdf.txtExtracted texttext/plain39037https://repositorio.cuc.edu.co/bitstreams/4e39475f-9278-4abb-9b37-99945818caa8/download5c96757bbaeb396437ced69f39135e94MD53THUMBNAILOptimization of the cooling system of electric vehicle batteries.pdf.jpgOptimization of the cooling system of 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