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A comprehensive coupled 0D-ECM to 3D-CFD thermal model for heat pipe assisted-air cooling thermal management system under fast charge and discharge

Author

Listed:
  • Karimi, Danial
  • Behi, Hamidreza
  • Berecibar, Maitane
  • Van Mierlo, Joeri

Abstract

Prediction of electrical and thermal behavior of lithium-ion capacitor (LiC) technology as an asymmetric technology is feasible by designing a precise model. Such a model should mimic the behavior of LiCs in heavy-duty applications where high current rates are applied. The developed model is used to design a management system based on efficient modeling tools, including 0D (zero-dimensional) electro-thermal models and 3D computational fluid dynamics (CFD) thermal models. A validated model is essential for LiCs as they operate at high dynamic current rates. In this article, the 0D second-order equivalent circuit model is developed to extract the electrical parameters of LiCs. Then, the thermal model is developed to be linked to the electrical model to make an electro-thermal platform capable of identifying the electro-thermal parameters. The characterization tests are performed within a wide range of temperatures, from the freezing temperature of −30 °C to the hot temperature of + 60 °C. Such a temperature range has never been carried out before. The validation is performed based on the owned experimental results. The applied current rates are from 0.1 A to 500 A, which shows the work's uniqueness in the field of electro-thermal modeling. Later, the extracted parameters have been set as inputs to the 3D CFD thermal model to design and develop a hybrid thermal management system (TMS) based on air cooling and heat pipes. Such a hybrid TMS maintains the maximum temperature at 24.6 °C when the temperature difference between the hottest and coldest cells is only 0.5 °C.

Suggested Citation

  • Karimi, Danial & Behi, Hamidreza & Berecibar, Maitane & Van Mierlo, Joeri, 2023. "A comprehensive coupled 0D-ECM to 3D-CFD thermal model for heat pipe assisted-air cooling thermal management system under fast charge and discharge," Applied Energy, Elsevier, vol. 339(C).
    • Handle: RePEc:eee:appene:v:339:y:2023:i:c:s0306261923003513
    DOI: 10.1016/j.apenergy.2023.120987
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    as
    1. de Hoog, Joris & Timmermans, Jean-Marc & Ioan-Stroe, Daniel & Swierczynski, Maciej & Jaguemont, Joris & Goutam, Shovon & Omar, Noshin & Van Mierlo, Joeri & Van Den Bossche, Peter, 2017. "Combined cycling and calendar capacity fade modeling of a Nickel-Manganese-Cobalt Oxide Cell with real-life profile validation," Applied Energy, Elsevier, vol. 200(C), pages 47-61.
    2. Saw, Lip Huat & Ye, Yonghuang & Tay, Andrew A.O. & Chong, Wen Tong & Kuan, Seng How & Yew, Ming Chian, 2016. "Computational fluid dynamic and thermal analysis of Lithium-ion battery pack with air cooling," Applied Energy, Elsevier, vol. 177(C), pages 783-792.
    3. Yang, Fangfang & Xing, Yinjiao & Wang, Dong & Tsui, Kwok-Leung, 2016. "A comparative study of three model-based algorithms for estimating state-of-charge of lithium-ion batteries under a new combined dynamic loading profile," Applied Energy, Elsevier, vol. 164(C), pages 387-399.
    4. Theodoros Kalogiannis & Md Sazzad Hosen & Mohsen Akbarzadeh Sokkeh & Shovon Goutam & Joris Jaguemont & Lu Jin & Geng Qiao & Maitane Berecibar & Joeri Van Mierlo, 2019. "Comparative Study on Parameter Identification Methods for Dual-Polarization Lithium-Ion Equivalent Circuit Model," Energies, MDPI, vol. 12(21), pages 1-35, October.
    5. Zheng, Fangdan & Xing, Yinjiao & Jiang, Jiuchun & Sun, Bingxiang & Kim, Jonghoon & Pecht, Michael, 2016. "Influence of different open circuit voltage tests on state of charge online estimation for lithium-ion batteries," Applied Energy, Elsevier, vol. 183(C), pages 513-525.
    6. Danial Karimi & Hamidreza Behi & Mohsen Akbarzadeh & Joeri Van Mierlo & Maitane Berecibar, 2021. "A Novel Air-Cooled Thermal Management Approach towards High-Power Lithium-Ion Capacitor Module for Electric Vehicles," Energies, MDPI, vol. 14(21), pages 1-20, November.
    7. Shrivastava, Prashant & Soon, Tey Kok & Idris, Mohd Yamani Idna Bin & Mekhilef, Saad, 2019. "Overview of model-based online state-of-charge estimation using Kalman filter family for lithium-ion batteries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    8. Khaleghi, Sahar & Hosen, Md Sazzad & Karimi, Danial & Behi, Hamidreza & Beheshti, S. Hamidreza & Van Mierlo, Joeri & Berecibar, Maitane, 2022. "Developing an online data-driven approach for prognostics and health management of lithium-ion batteries," Applied Energy, Elsevier, vol. 308(C).
    9. Caiping Zhang & Jiuchun Jiang & Linjing Zhang & Sijia Liu & Leyi Wang & Poh Chiang Loh, 2016. "A Generalized SOC-OCV Model for Lithium-Ion Batteries and the SOC Estimation for LNMCO Battery," Energies, MDPI, vol. 9(11), pages 1-16, November.
    10. Ren, Hongbin & Zhao, Yuzhuang & Chen, Sizhong & Wang, Taipeng, 2019. "Design and implementation of a battery management system with active charge balance based on the SOC and SOH online estimation," Energy, Elsevier, vol. 166(C), pages 908-917.
    11. Kiarash Movassagh & Arif Raihan & Balakumar Balasingam & Krishna Pattipati, 2021. "A Critical Look at Coulomb Counting Approach for State of Charge Estimation in Batteries," Energies, MDPI, vol. 14(14), pages 1-33, July.
    12. Zhang, Cheng & Allafi, Walid & Dinh, Quang & Ascencio, Pedro & Marco, James, 2018. "Online estimation of battery equivalent circuit model parameters and state of charge using decoupled least squares technique," Energy, Elsevier, vol. 142(C), pages 678-688.
    13. Danial Karimi & Sahar Khaleghi & Hamidreza Behi & Hamidreza Beheshti & Md Sazzad Hosen & Mohsen Akbarzadeh & Joeri Van Mierlo & Maitane Berecibar, 2021. "Lithium-Ion Capacitor Lifetime Extension through an Optimal Thermal Management System for Smart Grid Applications," Energies, MDPI, vol. 14(10), pages 1-14, May.
    14. Ines Baccouche & Sabeur Jemmali & Bilal Manai & Noshin Omar & Najoua Essoukri Ben Amara, 2017. "Improved OCV Model of a Li-Ion NMC Battery for Online SOC Estimation Using the Extended Kalman Filter," Energies, MDPI, vol. 10(6), pages 1-22, May.
    15. Wang, Zhuo & Gladwin, Daniel T. & Smith, Matthew J. & Haass, Stefan, 2021. "Practical state estimation using Kalman filter methods for large-scale battery systems," Applied Energy, Elsevier, vol. 294(C).
    16. Firouz, Y. & Omar, N. & Timmermans, J.-M. & Van den Bossche, P. & Van Mierlo, J., 2015. "Lithium-ion capacitor – Characterization and development of new electrical model," Energy, Elsevier, vol. 83(C), pages 597-613.
    17. Danial Karimi & Hamidreza Behi & Joeri Van Mierlo & Maitane Berecibar, 2022. "An Experimental Study on Thermal Performance of Graphite-Based Phase-Change Materials for High-Power Batteries," Energies, MDPI, vol. 15(7), pages 1-13, March.
    18. Qian, Cheng & Xu, Binghui & Chang, Liang & Sun, Bo & Feng, Qiang & Yang, Dezhen & Ren, Yi & Wang, Zili, 2021. "Convolutional neural network based capacity estimation using random segments of the charging curves for lithium-ion batteries," Energy, Elsevier, vol. 227(C).
    19. Sheikholeslami, M. & Ganji, D.D., 2016. "Heat transfer enhancement in an air to water heat exchanger with discontinuous helical turbulators; experimental and numerical studies," Energy, Elsevier, vol. 116(P1), pages 341-352.
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