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Applied Energy
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Applied Energy
Article . 2018 . Peer-reviewed
License: Elsevier TDM
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Novel thermal management system using mist cooling for lithium-ion battery packs

Authors: Lip Huat Saw; Hiew Mun Poon; Hui San Thiam; Zuansi Cai; Wen Tong Chong; Nugroho Agung Pambudi; Yeong Jin King;

Novel thermal management system using mist cooling for lithium-ion battery packs

Abstract

Thermal management system is crucial for a Lithium-ion battery pack as cycle life, driving range of electric vehicle, usable capacity and safety are heavily dependent on the operating temperature. Optimum operating temperature of Lithium-ion battery pack is about 25 oC – 40 oC. Power availability of the battery pack may differ according to the operating temperature. Although air cooling is the simplest and cheapest cooling solution, the cooling capacity is still limited by the low specific heat capacity. This will cause large variation of temperature of cells across the battery pack. In this study, mist cooling is proposed for battery pack thermal management system. Experiments and numerical simulations are conducted to investigate the thermal performance of conventional dry air cooling and mist cooling. Simulation results are then validated with the experimental data. The simulation results show that mist cooling can offer lower and more uniform temperature distribution compared to dry air cooling. Mist cooling with mass flow rate of 5 gs-1 and 3 % mist loading fraction is sufficient to ensure the surface temperature of the battery module maintained to below 40 oC. Therefore, mist cooling is a potential solution for the thermal management system of Lithium-ion battery pack.

Country
Malaysia
Keywords

690, 670, Energy, air cooling, Culture and Communities, TJ Mechanical engineering and machinery, battery temperature, Transport Research Institute, TK Electrical engineering. Electronics Nuclear engineering, mist cooling, Li-ion battery, CFD analysis, 621.31 Electric power generation, transmission & storage

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    247
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 0.1%
    influence
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    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 0.1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
247
Top 0.1%
Top 1%
Top 0.1%
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