Numerical analysis of heat-induced transients in forced flow helium cooling systems

Benkowitsch, J.; Krafft, G.

doi:10.1016/0011-2275(80)90129-0

Cited by 19 publications

(3 citation statements)

References 8 publications

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“…The time step to be taken at a certain time t is then determined by corresponding value of i , The first test of the model presented here was performed on the rather old experimental data produced and analysed by Benkowitsch and Krafft [35] on transient induced…”

Section: Comparion To the Helitex Data From Ref [35]mentioning

confidence: 99%

“…The first regards data on thermal induced flow produced in the HELITEX test facility at KfK [35], while the second is Equation (35) is non-linear, but it must be solved only based on quench propagation in a small size CICC [36,37]. once to determine the optimal value of the product i ⌬t opt (i.e., the one giving at most an error max per time step).…”

Section: Verification Of the Modelmentioning

confidence: 99%

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A Numerical Model for the Simulation of Quench in the ITER Magnets

Bottura

1996

Journal of Computational Physics

152

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Section: Comparion To the Helitex Data From Ref [35]mentioning

confidence: 99%

Section: Verification Of the Modelmentioning

confidence: 99%

A Numerical Model for the Simulation of Quench in the ITER Magnets

Bottura

1996

Journal of Computational Physics

152

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“…Moreover, the battery packs in the designed system will be retained in fully enclosed chambers, therefore, battery components will not come into contact with air and moisture if thermal runaway happens. Helium is a preferred material for cooling long-term superconducting magnets and fusion reactors, but to the best of our knowledge, there is no example of using helium in EVs as a cooling fluid [26][27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Investigation of the Applicability of Helium-Based Cooling System for Li-Ion Batteries

2021

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This paper proposes a novel He-based cooling system for the Li-ion batteries (LIBs) used in electric vehicles (EVs) and hybrid electric vehicles (HEVs). The proposed system offers a novel alternative battery thermal management system with promising properties in terms of safety, simplicity, and efficiency. A 3D multilayer coupled electrochemical-thermal model is used to simulate the thermal behavior of the 20 Ah LiFePO4 (LFP) cells. Based on the results, He gas, compared to air, effectively diminishes the maximum temperature rise and temperature gradient on the cell surface and offers a viable option for the thermal management of Li-ion batteries. For instance, in comparison with air, He gas offers 1.18 and 2.29 °C better cooling at flow rates of 2.5 and 7.5 L/min, respectively. The cooling design is optimized in terms of the battery’s temperature uniformity and the battery’s maximum temperature. In this regard, the effects of various parameters such as inlet diameter, flow direction, and inlet flow rate are investigated. The inlet flow rate has a more evident influence on the cooling efficiency than inlet/outlet diameter and flow direction. The possibility of using helium as a cooling fluid is shown to open new doors in the subject matter of an effective battery thermal management system.

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Forced Convection Normal Helium

Sciver

1986

Helium Cryogenics

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Numerical analysis of heat-induced transients in forced flow helium cooling systems

Cited by 19 publications

References 8 publications

A Numerical Model for the Simulation of Quench in the ITER Magnets

A Numerical Model for the Simulation of Quench in the ITER Magnets

Investigation of the Applicability of Helium-Based Cooling System for Li-Ion Batteries

Forced Convection Normal Helium

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