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The feasibility of using magnetic refrigeration cycles in the thermal management of rechargeable batteries in electric cars

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  • Al-Nimr, Moh'd
  • Haddad, Osamah
  • Al-Samamah, Lena

Abstract

This is the first study that intends to check the feasibility of using a magnetic refrigerator (MR) in the thermal management of rechargeable batteries instead of other conventional passive/active cooling techniques. A mathematical model has been generated to study the cooling performance of the proposed system at different conditions, including synchronized and asynchronized cooling at different discharge rates and ambient temperatures, in addition to exploring the effect of using water-based copper (Cu) nanofluid as a heat transfer fluid in a spherical packed bed active magnetic regenerator on the cooling performance. The proposed system can maintain the maximum temperature of the battery pack to less than 35 °C with high coefficients of performance (COPs) [between 4.8 and 9.7] during synchronized and asynchronized cooling at an ambient temperature of 25 °C and different discharge rates. The system can operate with COP higher than 1 at an ambient temperature up to 40 °C during 0.5 discharge rate, and up to 38 °C ambient temperature during 1 discharge rate. The MR can work with COP of 5.3 compared to 3.82 for vapor compression refrigeration system (VCRS) if the two systems meet a 3-kW cooling load. The study reveals that MR outperforms many active cooling techniques especially when appropriately integrated with the thermal management of the vehicle cabin.

Suggested Citation

  • Al-Nimr, Moh'd & Haddad, Osamah & Al-Samamah, Lena, 2023. "The feasibility of using magnetic refrigeration cycles in the thermal management of rechargeable batteries in electric cars," Energy, Elsevier, vol. 283(C).
    • Handle: RePEc:eee:energy:v:283:y:2023:i:c:s0360544223025252
    DOI: 10.1016/j.energy.2023.129131
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    References listed on IDEAS

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    1. Javani, N. & Dincer, I. & Naterer, G.F., 2012. "Thermodynamic analysis of waste heat recovery for cooling systems in hybrid and electric vehicles," Energy, Elsevier, vol. 46(1), pages 109-116.
    2. Safdari, Mojtaba & Ahmadi, Rouhollah & Sadeghzadeh, Sadegh, 2020. "Numerical investigation on PCM encapsulation shape used in the passive-active battery thermal management," Energy, Elsevier, vol. 193(C).
    3. Reham Alhindawi & Yousef Abu Nahleh & Arun Kumar & Nirajan Shiwakoti, 2020. "Projection of Greenhouse Gas Emissions for the Road Transport Sector Based on Multivariate Regression and the Double Exponential Smoothing Model," Sustainability, MDPI, vol. 12(21), pages 1-18, November.
    4. Chuanwei Zhang & Zhan Xia & Bin Wang & Huaibin Gao & Shangrui Chen & Shouchao Zong & Kunxin Luo, 2020. "A Li-Ion Battery Thermal Management System Combining a Heat Pipe and Thermoelectric Cooler," Energies, MDPI, vol. 13(4), pages 1-15, February.
    5. Wang, Qian & Jiang, Bin & Li, Bo & Yan, Yuying, 2016. "A critical review of thermal management models and solutions of lithium-ion batteries for the development of pure electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 106-128.
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