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A Novel Air-Cooled Thermal Management Approach towards High-Power Lithium-Ion Capacitor Module for Electric Vehicles

Author

Listed:
  • Danial Karimi

    (Research Group MOBI—Mobility, Logistics, and Automotive Technology Research Centre, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
    Flanders Make, 3001 Heverlee, Belgium)

  • Hamidreza Behi

    (Research Group MOBI—Mobility, Logistics, and Automotive Technology Research Centre, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
    Flanders Make, 3001 Heverlee, Belgium)

  • Mohsen Akbarzadeh

    (Research Group MOBI—Mobility, Logistics, and Automotive Technology Research Centre, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
    Flanders Make, 3001 Heverlee, Belgium)

  • Joeri Van Mierlo

    (Research Group MOBI—Mobility, Logistics, and Automotive Technology Research Centre, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
    Flanders Make, 3001 Heverlee, Belgium)

  • Maitane Berecibar

    (Research Group MOBI—Mobility, Logistics, and Automotive Technology Research Centre, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium)

Abstract

This work presents an active thermal management system (TMS) for building a safer module of lithium-ion capacitor (LiC) technology, in which 10 LiCs are connected in series. The proposed TMS is a forced air-cooled TMS (ACTMS) that uses four axial DC 12 V fans: two fans are responsible for blowing the air from the environment into the container while two other fans suck the air from the container to the environment. An experimental investigation is conducted to study the thermal behavior of the module, and numerical simulations are carried out to be validated against the experiments. The main aim of the model development is the optimization of the proposed design. Therefore, the ACTMS has been optimized by investigating the impact of inlet air velocity, inlet and outlet positions, module rotation by 90° towards the airflow direction, gap spacing between neighboring cells, and uneven gap spacing between neighboring cells. The 3D thermal model is accurate, so the validation error between the simulation and experimental results is less than 1%. It is proven that the ACTMS is an excellent solution to keep the temperature of the LiC module in the desired range by air inlet velocity of 3 m/s when all the fans are blowing the air from both sides, the outlet is designed on top of the module, the module is rotated, and uneven gap space between neighboring cells is set to 2 mm for the first distance between the cells (d1) and 3 mm for the second distance (d2).

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:7150-:d:669784
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    References listed on IDEAS

    as
    1. Behi, Mohammadreza & Mirmohammadi, Seyed Aliakbar & Ghanbarpour, Morteza & Behi, Hamidreza & Palm, Björn, 2018. "Evaluation of a novel solar driven sorption cooling/heating system integrated with PCM storage compartment," Energy, Elsevier, vol. 164(C), pages 449-464.
    2. Danial Karimi & Hamidreza Behi & Mohsen Akbarzadeh & Joeri Van Mierlo & Maitane Berecibar, 2021. "Holistic 1D Electro-Thermal Model Coupled to 3D Thermal Model for Hybrid Passive Cooling System Analysis in Electric Vehicles," Energies, MDPI, vol. 14(18), pages 1-20, September.
    3. Hamidreza Behi & Danial Karimi & Rekabra Youssef & Mahesh Suresh Patil & Joeri Van Mierlo & Maitane Berecibar, 2021. "Comprehensive Passive Thermal Management Systems for Electric Vehicles," Energies, MDPI, vol. 14(13), pages 1-15, June.
    4. Khaleghi, Sahar & Karimi, Danial & Beheshti, S. Hamidreza & Hosen, Md. Sazzad & Behi, Hamidreza & Berecibar, Maitane & Van Mierlo, Joeri, 2021. "Online health diagnosis of lithium-ion batteries based on nonlinear autoregressive neural network," Applied Energy, Elsevier, vol. 282(PA).
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    7. Pu, Liang & Zhang, Shengqi & Xu, Lingling & Ma, Zhenjun & Wang, Xinke, 2021. "Numerical study on the performance of shell-and-tube thermal energy storage using multiple PCMs and gradient copper foam," Renewable Energy, Elsevier, vol. 174(C), pages 573-589.
    8. 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.
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    1. 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).

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